ReviewBiological psychiatry2014
Peripheral biomarkers revisited: integrative profiling of peripheral samples for psychiatric research.
Review in Biological psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.
- What genes are differentially expressed in individuals with schizophrenia? A systematic review.Molecular psychiatry · 2022Pooled it
- Systematic review and meta-analysis of circulating S100B blood levels in schizophrenia.PloS one · 2014Pooled it
- Association between peripheral inflammation and free-water imaging in Major Depressive Disorder before and after ketamine treatment - A pilot study.Journal of affective disorders · 2022Trial
- Influence of Translocator Protein (Life (Basel, Switzerland) · 2026Article
- Oxidative Damage Induced Disruption of Mitochondrial Quality Control Underlying Abnormal Energy Metabolism in Peripheral Leukocytes of Schizophrenia Patients.Schizophrenia bulletin open · 2026Article
- Molecular Underpinning of Treatment-Resistant Schizophrenia: A Putative Different Neurobiology from Treatment-Responsive Schizophrenia.International journal of molecular sciences · 2025Review
- Validated metabolomic biomarkers in psychiatric disorders: a narrative review.Molecular medicine (Cambridge, Mass.) · 2025Review
- Differential gene expression study in whole blood identifies candidate genes for psychosis in African American individuals.Schizophrenia research · 2025Article
- Mental health and the effects on methylation of stress-related genes in front-line versus other health care professionals during the second wave of COVID-19 pandemic: an Italian pilot study.European archives of psychiatry and clinical neuroscience · 2023Article
- Biological Mechanism-based Neurology and Psychiatry: A BACE1/2 and Downstream Pathway Model.Current neuropharmacology · 2023Article
- Network science approach elucidates integrative genomic-metabolomic signature of antidepressant response and lifetime history of attempted suicide in adults with major depressive disorder.Frontiers in pharmacology · 2022Article
- A Comprehensive Evaluation of Cross-Omics Blood-Based Biomarkers for Neuropsychiatric Disorders.Journal of personalized medicine · 2021Article
- Making Sense of Patient-Derived iPSCs, Transdifferentiated Neurons, Olfactory Neuronal Cells, and Cerebral Organoids as Models for Psychiatric Disorders.The international journal of neuropsychopharmacology · 2021Review
- Nervonic acid level in cerebrospinal fluid is a candidate biomarker for depressive and manic symptoms: A pilot study.Brain and behavior · 2021Article
- Peripheral Markers of Depression.Journal of clinical medicine · 2020Review
- Neuroinflammation in psychiatric disorders: An introductory primer.Pharmacology, biochemistry, and behavior · 2020Article
- Proteomics and Metabolomics Approaches towards a Functional Insight onto AUTISM Spectrum Disorders: Phenotype Stratification and Biomarker Discovery.International journal of molecular sciences · 2020Review
- Peripheral Biomarkers in DSM-5 Anxiety Disorders: An Updated Overview.Brain sciences · 2020Review
- Exploiting Circulating MicroRNAs as Biomarkers in Psychiatric Disorders.Molecular diagnosis & therapy · 2020Review
- Peripheral blood metabolome predicts mood change-related activity in mouse model of bipolar disorder.Molecular brain · 2019Article
Corrections and comments
- Commented on by
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Peripheral samples, such as blood and skin, have been used for decades in psychiatric research as surrogates for central nervous system samples. Although the validity of the data obtained from peripheral samples has been questioned and other state-of-the-art techniques, such as human brain imaging, genomics, and induced pluripotent stem cells, seem to reduce the value of peripheral cells, accumulating evidence has suggested that revisiting peripheral samples is worthwhile. Here, we re-evaluate the utility of peripheral samples and argue that establishing an understanding of the common signaling and biological processes in the brain and peripheral samples is required for the validity of such models. First, we present an overview of the available types of peripheral cells and describe their advantages and disadvantages. We then briefly summarize the main achievements of omics studies, including epigenome, transcriptome, proteome, and metabolome analyses, as well as the main findings of functional cellular assays, the results of which imply that alterations in neurotransmission, metabolism, the cell cycle, and the immune system may be partially responsible for the pathophysiology of major psychiatric disorders such as schizophrenia. Finally, we discuss the future utility of peripheral samples for the development of biomarkers and tailor-made therapies, such as multimodal assays that are used as a battery of disease and trait pathways and that might be potent and complimentary tools for use in psychiatric research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.