DNA methylation in adolescents with anxiety disorder: A longitudinal study
Open accessAbstract
Anxiety disorders (AD) typically manifest in children and adolescents and might persist into adulthood. However, there are still few data concerning epigenetic mechanisms associated with onset, persistence or remission of AD over time. We investigated a cohort of adolescents and young adults at baseline (age; 13.19 ± 2.38) and after 5 years and classified them according to the AD diagnosis and their longitudinal trajectories into 4 groups: (1) Typically Developing Comparisons (TDC; control group, n = 14); (2) Incident (AD in the second evaluation only, n = 11); (3) Persistent (AD in both evaluations, n = 14) and (4) Remittent (AD in the first evaluation only, n = 8). DNA methylation was evaluated with the Infinium HumanMethylation450 BeadChip from saliva samples collected at both evaluations. Gene set enrichment analysis was applied to consider biological pathways. We found decreased DNA methylation in TDC group while the chronic cases of AD presented hypermethylation in central nervous system development pathways. Moreover, we showed that this persistent group also presented hypermethylation while the other three groups were associated with hypomethylation in nervous system development pathway. Incidence and remission groups were associated with increased and decreased methylation in neuron development pathways, respectively. Larger studies are likely to detect specific genes relevant to AD.
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Altered DNA methylation patterns have been found in GAD, PD, and adolescents with anxiety disorder.
“altered DNA methylation patterns in GAD (Gottschalk & Domschke, 2017), PD (Iurato et al., 2017) or adolescents with anxiety disorder (Bortoluzzi et al., 2018) have been found.”
From Novel pharmacological targets in drug development for the treatment of anxiety and anxiety-related disorders (2019) · cites this paper as Bortoluzzi et al., 2018
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- Authors
- Bortoluzzi, A., Salum, G. A., da Rosa, E. D., Chagas, V. D. S., Castro, M. A. A., & Manfro, G. G.
- Affiliations
- Universidade Federal do Rio Grande do Sul (BR)
- Universidade Federal do Paraná (BR)
- Corresponding author
- Bortoluzzi, Andressa
- Venue
- Scientific Reports
- Published
- 2018-09-14
- Volume
- 8
- Issue
- 1
- Pages
- 13800-13800
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC6138655
- OpenAlex
- W2890186070
- Cited by
- 16
- References
- 80
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 4 · 2020: 2 · 2019: 2
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
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- Americanae (AECID Library) (submittedVersion, cc-by-nc-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Ministério da Ciência, Tecnologia e Inovação (483032/2007-7, 476366/2009-7, 305524/2009-7)
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Hospital de Clínicas de Porto Alegre (12-0254)
- Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (10/0018.3, 11/2043-0)
- Fundação Instituto de Pesquisas Econômicas
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- anxiety disorders, DNA methylation, epigenetics, adolescents, young adults, anxiety remission, persistent anxiety, longitudinal trajectories, central nervous system development, neuronal development, saliva DNA, gene set enrichment analysis
- MeSH terms
- Adolescent, Anxiety, Anxiety Disorders, Child, Female, Humans, Longitudinal Studies, Male, Cohort Studies, CpG Islands, DNA Methylation, Epigenesis, Genetic, Young Adult
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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