The DOI matches its Crossref record; 208 of the 212 references it cites were found in a registry or an index.
Biomarkers for depression: recent insights, current challenges and future prospects
Open accessAbstract
Abstract: A plethora of research has implicated hundreds of putative biomarkers for depression, but has not yet fully elucidated their roles in depressive illness or established what is abnormal in which patients and how biologic information can be used to enhance diagnosis, treatment and prognosis. This lack of progress is partially due to the nature and heterogeneity of depression, in conjunction with methodological heterogeneity within the research literature and the large array of biomarkers with potential, the expression of which often varies according to many factors. We review the available literature, which indicates that markers involved in inflammatory, neurotrophic and metabolic processes, as well as neurotransmitter and neuroendocrine system components, represent highly promising candidates. These may be measured through genetic and epigenetic, transcriptomic and proteomic, metabolomic and neuroimaging assessments. The use of novel approaches and systematic research programs is now required to determine whether, and which, biomarkers can be used to predict response to treatment, stratify patients to specific treatments and develop targets for new interventions. We conclude that there is much promise for reducing the burden of depression through further developing and expanding these research avenues. Keywords: mood disorder, major depressive disorder, inflammation, treatment response, stratification, personalized medicine
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“The serum VEGF level was found to be increased in depressed patients compared with that of control subjects in 16 studies.”
From Study protocol on the efficacy of exergames-acceptance and commitment therapy program for the treatment of major depressive disorder: Comparison with acceptance and commitment therapy alone and treatment-as-usual in a multicentre randomised controlled trial (2024) · cites this paper as [16]
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Metadata
- Authors
- Strawbridge, R., Young, A. H., & Cleare, A. J.
- Affiliations
- King's College London (GB)
- Corresponding author
- Strawbridge, Rebecca
- Venue
- Neuropsychiatric Disease and Treatment
- Publisher
- Informa UK Limited
- Published
- 2017-05
- Volume
- Volume 13
- Pages
- 1245-1262
- ISSN
- 1176-6328 (ISSN-L)
- 1178-2021
- OpenAlex
- W3141564337
- Cited by
- 415
- References
- 212
- Citations by year
- 2026: 35 · 2025: 55 · 2024: 57 · 2023: 36 · 2022: 38 · 2021: 55 · 2020: 50 · 2019: 40 · 2018: 43 · 2017: 5
- FWCI
- 4.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Neuropsychiatric Disease and Treatment (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- Research Portal (King's College London) (submittedVersion, cc-by-nc)
- Funders
- South London and Maudsley NHS Foundation Trust
- Wellcome Trust
- National Institute for Health and Care Research (NF-SI-0616-10091)
- King's College London
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Keywords
- depression biomarkers, major depressive disorder, inflammation, neurotrophic factors, metabolic biomarkers, neurotransmitters, neuroendocrine system, epigenetics, transcriptomics, proteomics, metabolomics, neuroimaging, treatment response prediction, patient stratification, personalized medicine, depression heterogeneity
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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