Chronic widespread pain (CWP) is a complex pain condition characterized by generalized musculoskeletal pain and often associated with other symptoms. An important clinical feature is widespread increased pain sensitivity such as lowered pain thresholds for mechanical stimuli (pressure pain thresholds [PPT]). There is a growing interest in investigating the activated neurobiological mechanisms in CWP, which includes fibromyalgia. In CWP, strong significant correlations have been found between muscle protein patterns and PPT. This explorative proteomic study investigates the multivariate correlation pattern between plasma proteins and PPT in CWP and in healthy controls (CON). In addition, this study analyses whether the important proteins for PPT differ between the 2 groups.Using 2-dimensional gel electrophoresis, we analyzed the plasma proteome of the CWP (n = 15) and the CON (n = 23) and proteins were identified using mass spectrometry. For both the CWP and the CON, the associations between the identified proteins and PPT were analyzed using orthogonal partial least square in 2 steps.Significant associations between certain plasma proteins and PPT existed both in CWP (R 2 = 0.95; P = .006) and in CON (R 2 = 0.89; P < .001). For both groups of subjects, we found several proteins involved in PPT that reflect different biological processes. The plasma proteins as well as the biological processes involved in PPT differed markedly between the 2 groups of subjects.This study suggests that plasma protein patterns are associated with pain thresholds in CWP. Using the plasma proteome profile of CWP to study potential biomarker candidates could provide a snapshot of ongoing systemic mechanisms in CWP.Abbreviations: 2-DE = two-dimensional gel electrophoresis, CNS = central nervous system, CON = healthy controls, CV-ANOVA = ANOVA of the cross-validated residuals, CWP = chronic widespread pain, FDR = false discovery rate, FM = fibromyalgia, HADS = hospital anxiety and depression scale, MS = mass spectrometry, MVDA = advanced multivariate analysis, OPLS = orthogonal partial least square regression, PPI = protein-protein interaction, PPT = pressure pain threshold, STRING = search tool for retrieval of interacting genes/proteins, VIP = variable influence on projection.