Hsu, Wei-Hsiang published the artcileASIC3-dependent metabolomics profiling of serum and urine in a mouse model of fibromyalgia, Computed Properties of 104-01-8, the main research area is fibromyalgia ASIC3 metabolomics profiling biomarker.
Fibromyalgia (FM) is characterized by chronic widespread pain. Here, we probed the metabolomics profiles of serum and urine in a mouse model of FM induced by intermittent cold stress (ICS). We focused on the role of acid-sensing ion channel 3 (ASIC3) in the metabolomics profiling because ICS treatment induced chronic widespread muscle pain lasting for 1 mo in wild-type (Asic3+/+) but not Asic3-knockout (Asic3-/-) mice. Serum and urine samples were collected from both genotypes at different ICS stages, including before ICS (basal level) and post-ICS at days 10 (middle phase, P10) and 40 (recovery phase, P40). Finally, we developed an algorithm for the impactful metabolites in the FM model including cis-aconitate, kynurenate, taurine, pyroglutamic acid, pyrrolidonecarboxylic acid, and 4-methoxyphenylacetic acid in urine as well as carnitine, deoxycholic acid, lysoPC(16:0), lysoPC(20:3), oleoyl-L-carnitine, and trimethylamine N-oxide in serum. Asic3-/- mice were impaired in only muscle allodynia development but not other pain symptoms in the ICS model, so the ASIC3-dependent metabolomics changes could be useful for developing diagnostic biomarkers specific to chronic widespread muscle pain, the core symptom of FM. Further pharmacol. validations are needed to validate these metabolomics changes as potential biomarkers for FM diagnosis and/or treatment responses.
Scientific Reports published new progress about Biomarkers. 104-01-8 belongs to class isoquinoline, name is 4-Methoxyphenylacetic acid, and the molecular formula is C9H10O3, Computed Properties of 104-01-8.
Referemce:
Isoquinoline – Wikipedia,
Isoquinoline | C9H7N – PubChem