Literature DB >> 35395610

Youth depression and inflammation: Cross-sectional network analyses of C-Reactive protein, interleukin-6 and symptoms in a population-based sample.

Pedro H Manfro1, Luciana Anselmi2, Fernando Barros2, Helen Gonçalves2, Joseph Murray3, Isabel O Oliveira2, Luciana Tovo-Rodrigues2, Fernando C Wehrmeister2, Ana M B Menezes2, Valeria Mondelli4, Luis Augusto Rohde5, Christian Kieling6.   

Abstract

BACKGROUND: Inflammation-related proteins constitute a promising avenue in studying biological correlates of major depressive disorder (MDD). However, MDD is a heterogeneous condition - a crucial aspect to be considered in association studies. We examined whether inflammatory proteins are associated with categorical diagnosis, a dimensional total sum-score, and specific depressive symptoms among youths.
METHODS: We analyzed data from the 1993 Pelotas Birth Cohort, a population-based study in Brazil that followed individuals up to age 22 years. Categorical psychiatric diagnoses were derived using adapted modules of the Mini International Neuropsychiatric Interview (MINI). Dimensional symptomatology was assessed using the Brazilian Portuguese version of the Center for Epidemiological Studies-Depression Scale-Revised (CESD-R). We estimated network structures that included individual depressive symptoms as measured by CESD-R items, peripheral inflammatory markers (C-Reactive Protein [CRP] and Interleukin-6 [IL-6]), as well as relevant covariates.
RESULTS: We evaluated 2586 participants (mean age = 22.5[SD = 0.33]) There were no associations between concentrations of inflammatory proteins and categorical diagnosis of MDD or with CESD-R total sum-scores. In symptom-specific analysis, CRP and IL-6 were positively connected to somatic and cognitive items. DISCUSSION: We found cross-sectional connections of two commonly studied inflammatory proteins and specific depressive symptoms. Conducting symptom-specific analyses in relation to biological markers might advance our understanding of the heterogeneity of MDD.
Copyright © 2022. Published by Elsevier Ltd.

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Keywords:  Adolescence; Depressive symptoms; Inflammation; Network analysis

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Year:  2022        PMID: 35395610     DOI: 10.1016/j.jpsychires.2022.03.065

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  1 in total

1.  Identifying the Subtypes of Major Depressive Disorder Based on Somatic Symptoms: A Longitudinal Study Using Latent Profile Analysis.

Authors:  Xiaohui Wu; Yuncheng Zhu; Zhiguo Wu; Jia Huang; Lan Cao; Yun Wang; Yousong Su; Hongmei Liu; Maosheng Fang; Zhijian Yao; Zuowei Wang; Fan Wang; Yong Wang; Daihui Peng; Jun Chen; Yiru Fang
Journal:  Front Psychiatry       Date:  2022-07-12       Impact factor: 5.435

  1 in total

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