Department of Psychology, Temple University, Weiss Hall, 1701 N. 13th St., Philadelphia, PA 19122, United States.
Department of Psychology, University of Oregon, 1227 University St, Eugene, OR 97403, United States.
Brain Behav Immun. 2021 Jan;91:393-403. doi: 10.1016/j.bbi.2020.10.020. Epub 2020 Oct 22.
Increasingly, it has been recognized that analysis at the symptom, rather than diagnostic, level will drive progress in the field of immunopsychiatry. Network analysis offers a useful tool in this pursuit with the ability to identify associations between immune markers and individual symptoms, independent of all other variables modeled. However, investigation into how methodological decisions (i.e., including vs. excluding participants with C-reactive protein (CRP) >10 mg/L, regularized vs. nonregularized networks) influence results is necessary to establish best practices for the use of network analysis in immunopsychiatry. In a sample of 3,464 adult participants from the 2015-2016 National Health and Nutrition Examination Survey dataset, this study found consistent support for associations between CRP and fatigue and changes in appetite and some support for additional CRP-criterion associations. Methodologically, results consistently demonstrated that including individuals with CRP >10 mg/L and estimating nonregularized networks provided better estimates of these associations. Thus, we recommend considering the use of nonregularized networks in immunopsychiatry and inclusion of cases with CRP values >10 mg/L when testing the association between CRP and depression criteria, unless contraindicated by the research question being tested. Additionally, results most consistently suggest that CRP is uniquely related to fatigue and changes in appetite, supporting their inclusion in an immunometabolic phenotype of depression. Finally, these associations suggest that fatigue and changes in appetite might be particularly receptive to anti-inflammatory treatments. However, future research with more nuanced measures is necessary to parse out whether appetite increases or decreases drive this association. Further, longitudinal research is an important next step to test how these relationships manifest over time.
越来越多的人认识到,在免疫精神病学领域,对症状而非诊断层面的分析将推动该领域的进展。网络分析提供了一个有用的工具,能够在不考虑所有其他建模变量的情况下,识别免疫标志物与个体症状之间的关联。然而,为了确定网络分析在免疫精神病学中的最佳应用方法,有必要研究方法决策(例如,包括或排除 C 反应蛋白(CRP)>10mg/L 的参与者,正则化或非正则化网络)如何影响结果。在 2015-2016 年全国健康和营养调查数据集的 3464 名成年参与者样本中,这项研究发现 CRP 与疲劳、食欲变化之间存在一致的关联,并且对 CRP 与其他标准之间的关联也有一定的支持。从方法学角度来看,结果始终表明,包括 CRP>10mg/L 的个体和估计非正则化网络可以更好地估计这些关联。因此,我们建议在免疫精神病学中考虑使用非正则化网络,并在测试 CRP 与抑郁标准之间的关联时纳入 CRP 值>10mg/L 的病例,除非所测试的研究问题有其他限制。此外,结果最一致地表明,CRP 与疲劳和食欲变化之间存在独特的关联,支持将它们纳入抑郁的免疫代谢表型。最后,这些关联表明,疲劳和食欲变化可能特别容易受到抗炎治疗的影响。然而,需要进行更细致的研究来进一步确定是食欲增加还是减少导致了这种关联。此外,纵向研究是一个重要的下一步,以测试这些关系如何随时间演变。