To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
To determine whether pharmacologic exposure is associated with differences in fibromyalgia neurobehavioral phenotypes and whether medication burden explains symptom variability within phenotypes.
Methods
We analyzed a multisite cohort of 695 adults meeting fibromyalgia criteria, stratified into low- and high-impact phenotypes using a disability-based classification. Medication burden was quantified as total, centrally acting, and noncentrally acting medication counts. Between-phenotype differences and within-phenotype associations between medication burden and symptom severity were evaluated using nonparametric tests, Spearman correlation analyses, and multivariable linear regression models. Phenotypes were interpreted within the framework of centrally mediated neurobehavioral dysfunction.
Results
Participants classified within the high-impact neurobehavioral phenotype (n = 175) demonstrated substantially greater symptom burden across fibromyalgia impact, central sensitization, depressive symptoms, pain severity, and vitality compared with low-impact participants (n = 520). Centrally acting medication burden increased stepwise with phenotype severity, whereas noncentrally acting medication use did not differ between phenotypes. Within phenotypes, centrally acting medication burden showed weak and nonsignificant associations with symptom severity after adjustment for demographic covariates, explaining minimal variance in fibromyalgia impact (R2 < 0.05).
Conclusions
Fibromyalgia symptom phenotypes remained distinct across varying levels of pharmacologic exposure, and medication burden explained little within-phenotype symptom variability. Medication burden primarily reflects downstream clinical response to symptom severity rather than a determinant of phenotype organization. These findings support the use of stable multidimensional phenotypes for mechanistic, neurobiological, and stratified intervention studies in chronic pain and related central nervous system disorders.
The technological advances in molecular neuropharmacology and structural biology and the potential of large molecule therapeutics increase the number of potential drug targets and the ways in which these targets can be addressed to design novel therapeutic agents for CNS disorders. The target class approach has generated a large number of potential targets. Considerable progress has been made in exploiting an understanding of disease pathophysiology to identify novel targets for the treatment of neurodegenerative disorders. During the drug discovery process, target validation can be performed initially using in vitro or in vivo models but ultimately relies on demonstrating a clinical effect in patients. In Alzheimer's disease, two approaches to animal modeling are of interest: disease modification and cognition enhancement. An effective interface between basic research into disease mechanisms and the identification and validation of targets of interest to pre-clinical drug development is one of the key challenges.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.