Emerging Clinical Concepts in Pain Management of Ehlers-Danlos Syndrome
Abstract
Purpose of review: Ehlers-Danlos syndrome (EDS) is a congenital connective tissue disorder that is often marked by chronic pain and considerable functional impairment. Pain in EDS is typically multifaceted, involving musculoskeletal, neuropathic, autonomic, and centralized pain components. The present investigation, therefore, aims to examine common pain phenotypes and mechanisms in EDS and to discuss strategies for interdisciplinary pain management briefly.
Recent findings: Recent studies have identified multiple sources of pain etiologies in EDS, including joint instability, repetitive microtrauma, small fiber neuropathy, and dysfunctional central pain processing. There is also growing evidence that nociceptive pain mechanisms and psychological factors may play a role in pain experience. Furthermore, current literature promotes multidisciplinary care models that synthesize physical therapy targeting joint stabilization and neuromuscular control, symptom-specific pharmacologic therapy, and psychological interventions. In addition, recent studies have investigated complementary therapies, including trigger-point injections, that may provide benefit. Despite this, high-quality evidence supporting interventional and specific pharmacologic regimens remains sparse. EDS pain remains multifaceted and requires an individualized and mechanism-informed approach to treatment. Integrated care models that include rehabilitation, phenotype-guided pharmacotherapy, and behavioral…
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.