G R Cunha1,2,3, E Asevedo1,2,3, R B Mansur1,2, A Zugman1,2,3, P M Pan1,2,3, A Gadelha1,2,3, S I Belangero1,3, L B Rizzo3, R Coelho4,5, L Stertz6,7, H Cogo-Moreira3, R Grassi-Oliveira1,4,5, A L Teixeira8, M Kauer-Sant'Anna6, J J Mari1,2,3,9, E C Miguel1,9,10, R A Bressan1,2,3,9, E Brietzke1,2,3. 1. National Institute of Developmental Psychiatry (INPD), São Paulo, Brazil. 2. Program for Recognition and Intervention in Individuals in At-Risk Mental State (PRISMA), Department of Psychiatry, Federal University of São Paulo (UNIFESP), São Paulo, Brazil. 3. Department of Psychiatry, Interdisciplinary Laboratory of Clinical Neurosciences (LINC), Federal University of São Paulo (UNIFESP), São Paulo, Brazil. 4. Post-Graduation Program in Psychology, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil. 5. Developmental Cognitive Neuroscience Research Group (GNCD), Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil. 6. Molecular Psychiatry Unit and National Science and Technology Institute for Translational Medicine (INCT-TM), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. 7. Department of Psychiatry and Behavioral Sciences, UT Center for Molecular Psychiatry, University of Texas Health Science Center, Houston, TX, USA. 8. Translational Psychoneuroimmunology Group, Federal University of Minas Gerais (UFMG), Belo Horizonte. 9. Laboratory of Molecular Psychiatry, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. 10. Department of Psychiatry, Faculty of Medicine, University of São Paulo (USP), São Paulo, Brazil.
Abstract
OBJECTIVE: To investigate the association between peripheral biomarkers and child psychopathology in a large community sample. METHOD: A total of 625 aged 6- to 13-year old subjects were recruited from a community school-based study. Psychopathology was assessed using the Child Behaviour Checklist (CBCL). Psychiatric diagnosis was evaluated using the Development and Well-Being Assessment. The following biomarkers were examined in peripheral blood: brain-derived neurotrophic factor, cytokines (IL-2, IL-4, IL-6, IL-10, IL-17, IFN-g, and TNF-α), chemokines (eotaxin/CCL11, IP-10, MCP-1), cytokine receptors (sTNFR1 and sTNFR2), and the oxidative stress marker TBARS. RESULTS: We found significant associations between sTNFR2, eotaxin/CCL11 and CBCL total score, as well as with specific dimensions of psychopathology. There were different patterns of association between these biomarkers and psychological and behavioural symptoms in children with and without a mental disorder. TBARS, IL-6 and MCP-1 were more specific to some clusters of symptoms in children with a psychiatric diagnosis. CONCLUSION: Our data support the potential use of biomarkers, especially those involved in immune-inflammatory pathways, in investigating neurodevelopmental psychopathology. Their association with different dimensions of symptoms might be of useful when analyzing illness severity and clusters of symptoms within specific disorders.
OBJECTIVE: To investigate the association between peripheral biomarkers and child psychopathology in a large community sample. METHOD: A total of 625 aged 6- to 13-year old subjects were recruited from a community school-based study. Psychopathology was assessed using the Child Behaviour Checklist (CBCL). Psychiatric diagnosis was evaluated using the Development and Well-Being Assessment. The following biomarkers were examined in peripheral blood: brain-derived neurotrophic factor, cytokines (IL-2, IL-4, IL-6, IL-10, IL-17, IFN-g, and TNF-α), chemokines (eotaxin/CCL11, IP-10, MCP-1), cytokine receptors (sTNFR1 and sTNFR2), and the oxidative stress marker TBARS. RESULTS: We found significant associations between sTNFR2, eotaxin/CCL11 and CBCL total score, as well as with specific dimensions of psychopathology. There were different patterns of association between these biomarkers and psychological and behavioural symptoms in children with and without a mental disorder. TBARS, IL-6 and MCP-1 were more specific to some clusters of symptoms in children with a psychiatric diagnosis. CONCLUSION: Our data support the potential use of biomarkers, especially those involved in immune-inflammatory pathways, in investigating neurodevelopmental psychopathology. Their association with different dimensions of symptoms might be of useful when analyzing illness severity and clusters of symptoms within specific disorders.
Authors: Pedro Macul Ferreira de Barros; Maria Conceição do Rosário; Natalia Szejko; Natália Polga; Guaraci de Lima Requena; Beatriz Ravagnani; Daniel Fatori; Marcelo Camargo Batistuzzo; Marcelo Queiroz Hoexter; Luis Augusto Rohde; Guilherme Vanoni Polanczyk; James Frederick Leckman; Eurípedes Constantino Miguel; Pedro Gomes de Alvarenga Journal: Eur Child Adolesc Psychiatry Date: 2020-02-19 Impact factor: 4.785
Authors: Lei Chang; Hui Jing Lu; Jennifer E Lansford; Marc H Bornstein; Laurence Steinberg; Bin-Bin Chen; Ann T Skinner; Kenneth A Dodge; Kirby Deater-Deckard; Dario Bacchini; Concetta Pastorelli; Liane Peña Alampay; Sombat Tapanya; Emma Sorbring; Paul Oburu; Suha M Al-Hassan; Laura Di Giunta; Patrick S Malone; Liliana Maria Uribe Tirado; Saengduean Yotanyamaneewong Journal: Proc Biol Sci Date: 2019-12-18 Impact factor: 5.349
Authors: Rodrigo B Mansur; Graccielle R Cunha; Elson Asevedo; André Zugman; Adiel C Rios; Giovanni A Salum; Pedro M Pan; Ary Gadelha; Mateus L Levandowski; Síntia I Belangero; Gisele G Manfro; Laura Stertz; Márcia Kauer-Sant'anna; Eurípedes C Miguel; Rodrigo A Bressan; Jair J Mari; Rodrigo Grassi-Oliveira; Elisa Brietzke Journal: Eur Child Adolesc Psychiatry Date: 2016-10-26 Impact factor: 4.785