How handling extreme C-reactive protein (CRP) values and regularization influences CRP and depression criteria
Daniel P Moriarity1, Sarah R Horn2, Marin M Kautz1
1Department of Psychology, Temple University, Weiss Hall, 1701 N. 13th St., Philadelphia, PA 19122, United States.
Insights
Network analysis in immunopsychiatry reveals C-reactive protein (CRP) is linked to fatigue and appetite changes. Nonregularized networks and including high CRP participants improve association estimates for depression criteria.
Area of Science:
- Immunopsychiatry
- Network Analysis
- Biomarkers
Background:
- Progress in immunopsychiatry necessitates symptom-level analysis.
- Network analysis can identify immune marker-symptom associations.
- Methodological choices impact network analysis results in immunopsychiatry.
Purpose of the Study:
- To investigate the influence of methodological decisions on network analysis in immunopsychiatry.
- To identify associations between C-reactive protein (CRP) and specific depressive symptoms.
- To establish best practices for network analysis in immunopsychiatry.
Main Methods:
- Analysis of 3,464 adult participants from the 2015-2016 National Health and Nutrition Examination Survey dataset.
- Comparison of network analysis results with and without participants exhibiting CRP >10 mg/L.
- Evaluation of regularized versus nonregularized network models.
Main Results:
- Consistent associations found between CRP and fatigue and appetite changes.
- Including participants with CRP >10 mg/L and using nonregularized networks yielded better association estimates.
- CRP is uniquely associated with fatigue and appetite changes, suggesting an immunometabolic phenotype of depression.
Conclusions:
- Nonregularized networks and inclusion of high CRP participants are recommended for immunopsychiatry research.
- Fatigue and appetite changes may respond to anti-inflammatory treatments.
- Further longitudinal research is needed to understand the dynamics of these associations.
Abstract:
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.
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