OBJECTIVE: To assess the association between pain mechanisms (sensitization) and biochemical markers for cartilage, bone, and inflammation in patients with knee pain. METHODS: The study group comprised 281 patients with different degrees of knee pain intensity and radiographic findings (using the Kellgren/Lawrence [K/L] scale). The following structurally related serologic biomarkers were measured in serum: high-sensitivity C-reactive protein (hsCRP), matrix metalloproteinase (MMP)-mediated breakdown of CRP (CRPM), MMP-mediated degradation of type I collagen (C1M), C2M, and C3M. Pressure-pain thresholds (PPT) (peripheral and spreading sensitization), temporal summation of pain, and conditioning pain modulation (CPM) (with the latter 2 biomarkers representing generalized sensitization) were assessed. For each pain parameter, the patients were categorized as most sensitized or least sensitized. RESULTS: Correlations were observed between the pain biomarkers PPT, temporal summation, and CPM and maximal pain intensity during the last 24 hours. Significant associations between most of the serologic biomarkers were observed. A high CRPM level was associated with centralized sensitization (temporal summation and CPM). None of the serologic markers correlated with the intensity or duration of knee pain, and only hsCRP correlated with the K/L grade. The most-sensitized group contained more women than men, and the least-sensitized group contained more men than women. CONCLUSION: A platform of mechanistic pain biomarkers in combination with structure-related serologic biomarkers provides new possibilities for understanding how osteoarthritis-related structural features may be associated with pain and pain sensitization. This study showed significant correlations between central pain sensitization and CRPM as a possible measure for chronic inflammation. Future pain association studies should include biomarkers representing the local joint environment more specifically.
OBJECTIVE: To assess the association between pain mechanisms (sensitization) and biochemical markers for cartilage, bone, and inflammation in patients with knee pain. METHODS: The study group comprised 281 patients with different degrees of knee pain intensity and radiographic findings (using the Kellgren/Lawrence [K/L] scale). The following structurally related serologic biomarkers were measured in serum: high-sensitivity C-reactive protein (hsCRP), matrix metalloproteinase (MMP)-mediated breakdown of CRP (CRPM), MMP-mediated degradation of type I collagen (C1M), C2M, and C3M. Pressure-pain thresholds (PPT) (peripheral and spreading sensitization), temporal summation of pain, and conditioning pain modulation (CPM) (with the latter 2 biomarkers representing generalized sensitization) were assessed. For each pain parameter, the patients were categorized as most sensitized or least sensitized. RESULTS: Correlations were observed between the pain biomarkers PPT, temporal summation, and CPM and maximal pain intensity during the last 24 hours. Significant associations between most of the serologic biomarkers were observed. A high CRPM level was associated with centralized sensitization (temporal summation and CPM). None of the serologic markers correlated with the intensity or duration of knee pain, and only hsCRP correlated with the K/L grade. The most-sensitized group contained more women than men, and the least-sensitized group contained more men than women. CONCLUSION: A platform of mechanistic pain biomarkers in combination with structure-related serologic biomarkers provides new possibilities for understanding how osteoarthritis-related structural features may be associated with pain and pain sensitization. This study showed significant correlations between central pain sensitization and CRPM as a possible measure for chronic inflammation. Future pain association studies should include biomarkers representing the local joint environment more specifically.
Authors: Yvonne C Lee; Elena Massarotti; Robert R Edwards; Bing Lu; ChihChin Liu; Yuanyu Lo; Alyssa Wohlfahrt; Nancy D Kim; Daniel J Clauw; Daniel H Solomon Journal: J Rheumatol Date: 2015-12-01 Impact factor: 4.666
Authors: Peng Zhao; Myriam Hill; Shujun Liu; Lubin Chen; Lakshmi Bangalore; Stephen G Waxman; Andrew M Tan Journal: J Neurophysiol Date: 2016-03-02 Impact factor: 2.714
Authors: Shannon M Smith; Robert H Dworkin; Dennis C Turk; Ralf Baron; Michael Polydefkis; Irene Tracey; David Borsook; Robert R Edwards; Richard E Harris; Tor D Wager; Lars Arendt-Nielsen; Laurie B Burke; Daniel B Carr; Amy Chappell; John T Farrar; Roy Freeman; Ian Gilron; Veeraindar Goli; Juergen Haeussler; Troels Jensen; Nathaniel P Katz; Jeffrey Kent; Ernest A Kopecky; David A Lee; William Maixner; John D Markman; Justin C McArthur; Michael P McDermott; Lav Parvathenani; Srinivasa N Raja; Bob A Rappaport; Andrew S C Rice; Michael C Rowbotham; Jeffrey K Tobias; Ajay D Wasan; James Witter Journal: J Pain Date: 2017-02-27 Impact factor: 5.820
Authors: William C Hedderson; Paul A Borsa; Roger B Fillingim; Stephen A Coombes; Chris J Hass; Steven Z George Journal: Clin J Pain Date: 2020-10 Impact factor: 3.423