# Exploration of Novel Biomarkers Through a Precision Medicine Approach Using Multi‐Omics and Brain Organoids in Patients With Atypical Depression and Psychotic Symptoms

**Authors:** Insook Ahn, Soyeon Chang, Jiyoung Lee, Seok‐Ho Choi, Jinju Han, Yangsik Kim

PMC · DOI: 10.1002/advs.202508383 · Advanced Science · 2025-10-31

## TL;DR

This study explores biomarkers for a severe subtype of depression with psychotic symptoms using multi-omics and brain organoids, revealing immune and neurological changes.

## Contribution

The novel contribution is combining WBC scRNA-seq, plasma proteomics, and brain organoids to uncover biomarkers in atypical depression with psychotic symptoms.

## Key findings

- Plasma proteomics identified upregulated synaptic and immune-related proteins like DCLK3, CALY, and C5.
- WBC scRNA-seq showed transcriptomic alterations in neutrophils and monocytes, indicating immune dysregulation.
- Brain organoids from patients showed reduced growth and altered gene expression under stress conditions.

## Abstract

Major depressive disorder (MDD) with atypical features accompanied by psychotic symptoms represents a severe and under‐researched subtype of depression and severe mental illness, characterized by significant personal and social impact. This study aims to explore novel biomarkers through a precision medicine approach by combining clinical data, white blood cell (WBC) single‐cell RNA sequencing (scRNA‐seq), plasma proteomics, and brain organoid models to uncover immunological and neurological alterations in patients with this condition. Patients exhibited elevated stress, anxiety, depression, and increased WBC counts, although the difference in WBC count is not significant after adjusting for age. Plasma proteomic profiling identified an upregulation of proteins implicated in synaptic formation, including Doublecortin‐Like Kinase 3 (DCLK3) and Calcyon (CALY), as well as immune‐related proteins such as Complement Component 5 (C5). WBC scRNA‐seq revealed significant neutrophil and monocyte transcriptomic alterations, suggesting increased inflammation and immune dysregulation. Patient‐derived brain organoids display reduced growth and distinct gene expression patterns compared to controls, particularly under dexamethasone‐induced stress conditions. Combining WBC scRNA‐seq, plasma proteomics, and brain organoid models offers a novel framework for understanding the pathophysiology of psychiatric disorders, which is one of the most complex disorders.

This study examines major depressive disorder with atypical features and psychotic symptoms through a multi‐omics precision medicine approach. By integrating clinical assessments, WBC scRNA‐seq, plasma proteomics, and brain organoid models, it uncovers immune dysregulation, synaptic protein alterations, and stress‐sensitive neuronal changes. The results offer insights into disease mechanisms and identify potential biomarkers for targeted therapeutic strategies in severe mental illness.

## Linked entities

- **Genes:** DCLK3 (doublecortin like kinase 3) [NCBI Gene 85443], CALY (calcyon neuron specific vesicular protein) [NCBI Gene 50632], C5 (complement C5) [NCBI Gene 727]
- **Proteins:** Caly (calcyon neuron-specific vesicular protein)
- **Chemicals:** dexamethasone (PubChem CID 5743)
- **Diseases:** Major depressive disorder (MONDO:0002009)

## Full-text entities

- **Genes:** DCLK3 (doublecortin like kinase 3) [NCBI Gene 85443] {aka CLR, DCAMKL3, DCDC3C, DCK3}, CALY (calcyon neuron specific vesicular protein) [NCBI Gene 50632] {aka DRD1IP, NSG3}, C5 (complement C5) [NCBI Gene 727] {aka C5D, C5a, C5b, CPAMD4, ECLZB}
- **Diseases:** inflammation (MESH:D007249), MDD (MESH:D003865), anxiety (MESH:D001007), mental illness (MESH:D001523), Psychotic Symptoms (MESH:D011618), immune dysregulation (OMIM:614878), Depression (MESH:D003866)
- **Chemicals:** dexamethasone (MESH:D003907)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12822433/full.md

## References

92 references — full list in the complete paper: https://tomesphere.com/paper/PMC12822433/full.md

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Source: https://tomesphere.com/paper/PMC12822433