ArticleCommunications medicine2025
Temporal trends of blood-based markers in various psychiatric disorders and their cross-sectional brain structure associations.
Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Construction and Verification of a Risk Prediction Model for Suicidal Ideation in Patients With Bipolar Disorder: A Machine Learning Analysis.Alpha psychiatry · 2026Article
- Acupoint temperature as a biomarker: infrared thermography in the diagnosis of adolescents with major depressive disorder.Frontiers in psychiatry · 2026Article
- Temporal trends of blood-based markers in various psychiatric disorders and their cross-sectional brain structure associations.Communications medicine · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnderstanding the temporal trends of blood-based biomarkers and their associations with brain structure is crucial for early detection and intervention in psychiatric disorders. This study aimed to explore these trends in the decade before and after diagnosis, along with the cross-sectional relationships with brain structures.
methodsUtilizing UK Biobank data, we conducted a nested case-control analysis of individuals aged 40-69 years diagnosed with anxiety (n = 27,216), bipolar disorder (n = 1325), depression (n = 36,570), or schizophrenia (n = 1478) within 10 years of baseline. We used multivariable linear regression to analyze temporal trends and brain structure associations for 31 blood cell counts, 28 biochemistry markers, and 168 serum metabolites.
resultsHere we show that compared to controls, significant temporal divergence is observed in 39, 6, 55, and 12 blood-based markers for anxiety, bipolar disorder, depression, and schizophrenia, respectively. Common biomarkers like cystatin C, red blood cells, hemoglobin, hematocrit, and total bilirubin are identified. Biomarkers cluster into groups with either linear or non-linear trends. Among the linearly changing biomarkers, some have a widening difference from controls while others have a narrowing one. For example, in the case of depression, HDL-TG demonstrates an increasing disparity over time, while cholesterol exhibits a decreasing trend. Non-linear clusters often show reversals around diagnosis, indicating potential treatment effects. Differential associations are found between biomarkers and brain regions, including the orbitofrontal cortex, hippocampus, and accumbens.
conclusionsThis study reveals the temporal trends of blood-based biomarkers in psychiatric disorders and their correlations with brain structure, aiding early detection and potentially enhancing clinical outcomes.
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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 Socratic graph.