# Circulating Growth Factors and Cytokines Correlate with Temperament and Character Dimensions in Adolescents with Mood Disorders

**Authors:** Maria Terczynska, Weronika Bargiel, Maksymilian Grabarczyk, Tomasz Kozlowski, Przemyslaw Zakowicz, Dawid Bojarski, Karolina Wasicka-Przewozna, Pawel Kapelski, Aleksandra Rajewska-Rager, Maria Skibinska

PMC · DOI: 10.3390/brainsci15020121 · Brain Sciences · 2025-01-26

## TL;DR

This study found that certain proteins in the blood correlate with personality traits in teens with mood disorders, which could help predict disease progression.

## Contribution

The study identifies novel correlations between circulating growth factors and temperament traits in adolescents with mood disorders.

## Key findings

- MDD patients showed correlations between cytokines like TNF-alpha and personality traits such as reward-dependence and empathy.
- BD patients exhibited links between BDNF and EGF with traits like persistence and novelty-seeking.
- Significant correlations were observed in adolescents who later converted from MDD to BD.

## Abstract

Background/Objectives: The incidence of mood disorders in adolescents is increasing. Bipolar disorder is often misdiagnosed in the early stages of the disease due to the prevalence of depressive symptoms, while manic episodes occur later. Identifying predictors of diagnosis conversion could facilitate timely and appropriate treatment. Our study aimed to find correlations of selected peripheral protein levels with temperament and character traits in adolescents diagnosed with major depressive disorder and bipolar disorder. Methods: A group of adolescents and young adults diagnosed with major depressive disorder (MDD, n = 50) or bipolar disorder (BD, n = 24) was enrolled in the study during the exacerbation of symptoms and followed up over two years. Diagnosis conversion from MDD to BD was monitored. The Temperament and Character Inventory was applied, and BDNF, proBDNF, EGF, MIF, SCF, S100B, TNF-alpha, and IL-8 serum levels were measured. Spearman’s rank correlation analysis was conducted. Results: We found different patterns of correlations in MDD (TNF-alpha, IL-8, EGF, S100B with reward-dependence, self-directedness, and empathy) and BD (BDNF and EGF with persistence novelty-seeking and self-transcendence). Significant correlations were found in a group with diagnosis conversion. Conclusions: The findings of our study have the potential to significantly impact our understanding and treatment of mood disorders. Correlations obtained in the subgroup with diagnosis conversion may contribute to the development of prognostic markers in the future. Evaluating temperament and character traits alongside established biomarkers may offer a valuable method for predicting the conversion of mood disorders in adolescents, facilitating early and effective pharmacotherapy.

## Linked entities

- **Proteins:** BDNF (brain derived neurotrophic factor), EGF (epidermal growth factor), MIF (macrophage migration inhibitory factor), KITLG (KIT ligand), S100B (S100 calcium binding protein B), TNF (tumor necrosis factor), CXCL8 (C-X-C motif chemokine ligand 8)
- **Diseases:** major depressive disorder (MONDO:0002009), bipolar disorder (MONDO:0004985)

## Full-text entities

- **Genes:** EGF (epidermal growth factor) [NCBI Gene 1950] {aka HOMG4, URG}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, MIF (macrophage migration inhibitory factor) [NCBI Gene 4282] {aka GIF, GLIF, MMIF}, KITLG (KIT ligand) [NCBI Gene 4254] {aka DCUA, DFNA69, FPH2, FPHH, KL-1, Kitl}, BDNF (brain derived neurotrophic factor) [NCBI Gene 627] {aka ANON2, BULN2}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, S100B (S100 calcium binding protein B) [NCBI Gene 6285] {aka NEF, S100, S100-B, S100beta}
- **Diseases:** BD (MESH:D001714), MDD (MESH:D003865), depressive symptoms (MESH:D003866), Mood Disorders (MESH:D019964)

## Full text

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## References

63 references — full list in the complete paper: https://tomesphere.com/paper/PMC11852978/full.md

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Source: https://tomesphere.com/paper/PMC11852978