SynthesisFrontiers in neuroscience2023
Research trend of epigenetics and depression: adolescents' research needs to strengthen.
Synthesis in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Epigenetic mechanisms affected by stress during adolescence and the increased risk for depression later in life: a systematic review.Molecular psychiatry · 2026Pooled it
- Revealing the impact of teaching methods on anxiety among college students through a bibliometric study.Frontiers in psychology · 2025Pooled it
- Exploring the relationship between social media dependence and internet addiction among college students from a bibliometric perspective.Frontiers in psychology · 2025Pooled it
- Developmental lead exposure fractures the hypothalamic-pituitary-gonadal axis in dams: mechanistic insights into primary ovarian failure and central bioenergetic bottlenecks.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Depression in Chinese adolescents: prevalence, symptoms, risk factors, affected brain, diagnosis, and interventions.Frontiers in psychology · 2026Review
- From Womb to Mind: Prenatal Epigenetic Influences on Mental Health Disorders.International journal of molecular sciences · 2025Review
- Article
- Investigating sex differences in developmental origins of adolescent depression.Frontiers in child and adolescent psychiatry · 2025Article
- Artificial intelligence significantly facilitates development in the mental health of college students: a bibliometric analysis.Frontiers in psychology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: With its high prevalence, depression's pathogenesis remains unclear. Recent attention has turned to the interplay between depression and epigenetic modifications. However, quantitative bibliometric analyses are lacking. This study aims to visually analyze depression epigenetics trends, utilizing bibliometric tools, while comprehensively reviewing its epigenetic mechanisms. Methods: Utilizing the Web of Science core dataset, we collected depression and epigenetics-related studies. Employing VOSViewer software, we visualized data on authors, countries, journals, and keywords. A ranking table highlighted field leaders. Results: Analysis encompassed 3,469 depression epigenetics studies published from January 2002 to June 2023. Key findings include: (1) Gradual publication growth, peaking in 2021; (2) The United States and its research institutions leading contributions; (3) Need for enhanced collaborations, spanning international and interdisciplinary efforts; (4) Keyword clustering revealed five main themes-early-life stress, microRNA, genetics, DNA methylation, and histone acetylation-highlighting research hotspots; (5) Limited focus on adolescent depression epigenetics, warranting increased attention. Conclusion: Taken together, this study revealed trends and hotspots in depression epigenetics research, underscoring global collaboration, interdisciplinary fusion, and multi-omics data's importance. It discussed in detail the potential of epigenetic mechanisms in depression diagnosis and treatment, advocating increased focus on adolescent research in this field. Insights aid researchers in shaping their investigative paths toward understanding depression's epigenetic mechanisms and antidepressant interventions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.