Karshikoff Bianka, Wåhlén Karin, Åström Jenny, Lekander Mats, Holmström Linda, Wicksell Rikard K
Department of Social Studies, University of Stavanger, 4036 Stavanger, Norway.
Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden.
Biomedicines. 2023 Feb 27;11(3):713. doi: 10.3390/biomedicines11030713.
Chronic pain is characterized by high psychological comorbidity, and diagnoses are symptom-based due to a lack of clear pathophysiological factors and valid biomarkers. We investigate if inflammatory blood biomarker signatures are associated with pain intensity and psychological comorbidity in a mixed chronic pain population. Eighty-one patients (72% women) with chronic pain (>6 months) were included. Patient reported outcomes were collected, and blood was analyzed with the Proseek Multiplex Olink Inflammation Panel (Bioscience Uppsala, Uppsala, Sweden), resulting in 77 inflammatory markers included for multivariate data analysis. Three subgroups of chronic pain patients were identified using an unsupervised principal component analysis. No difference between the subgroups was seen in pain intensity, but differences were seen in mental health and inflammatory profiles. Ten inflammatory proteins were significantly associated with anxiety and depression (using the Generalized Anxiety Disorder 7-item scale (GAD-7) and the Patient Health Questionnaire (PHQ-9): STAMBP, SIRT2, AXIN1, CASP-8, ADA, IL-7, CD40, CXCL1, CXCL5, and CD244. No markers were related to pain intensity. Fifteen proteins could differentiate between patients with moderate/high (GAD-7/PHQ-9 > 10) or mild/no (GAD-7/PHQ-9 < 10) psychological comorbidity. This study further contributes to the increasing knowledge of the importance of inflammation in chronic pain conditions and indicates that specific inflammatory proteins may be related to psychological comorbidity.
慢性疼痛的特点是心理共病率高,由于缺乏明确的病理生理因素和有效的生物标志物,诊断基于症状。我们调查了炎症性血液生物标志物特征是否与混合性慢性疼痛人群的疼痛强度和心理共病有关。纳入了81例慢性疼痛(>6个月)患者(72%为女性)。收集了患者报告的结果,并使用Proseek Multiplex Olink炎症检测板(瑞典乌普萨拉的Bioscience Uppsala公司)对血液进行分析,共77种炎症标志物纳入多变量数据分析。使用无监督主成分分析确定了慢性疼痛患者的三个亚组。亚组之间在疼痛强度上没有差异,但在心理健康和炎症特征方面存在差异。十种炎症蛋白与焦虑和抑郁显著相关(使用广泛性焦虑障碍7项量表(GAD-7)和患者健康问卷(PHQ-9)):STAMBP、SIRT2、AXIN1、CASP-8、ADA、IL-7、CD40、CXCL1、CXCL5和CD244。没有标志物与疼痛强度相关。十五种蛋白质可以区分中度/高度(GAD-7/PHQ-9>10)或轻度/无(GAD-7/PHQ-9<10)心理共病的患者。这项研究进一步增加了我们对炎症在慢性疼痛疾病中的重要性的认识,并表明特定的炎症蛋白可能与心理共病有关。