2026 ECNP Congress
PS01-1069Altered immune–autonomic and neurovisceral coupling in late-onset depression: a multimodal dimensional study combining gene expression, HRV, and fMRI
Background
Major depressive disorder (MDD) is increasingly conceptualized as a systemic condition involving alterations across immune, autonomic, and neural systems [1-2]. Reduced heart rate variability (HRV), reflecting impaired autonomic flexibility, is observed in MDD and may contribute to increased cardiovascular vulnerability [3]. The vagal inflammatory reflex represents a key bidirectional neuroimmune pathway linking autonomic regulation and immune activity [4], and alterations in this axis may reflect disrupted integration across interacting physiological systems. However, relationships between peripheral immune status and autonomic and brain functioning in late-onset MDD remain unclear within a unified framework.
Aims
To characterize immune-brain-heart interactions in late-onset MDD using a multimodal dimensional approach integrating gene expression, HRV, and functional magnetic resonance imaging (fMRI).
Methods
Eighty-eight participants were included, comprising 45 patients diagnosed with late-onset MDD (DSM-IV-TR; 19M/26F, 64.9±7.5 years) and 43 healthy controls (HC; 11M/32F, 68.7±10.2 years). Peripheral blood gene expression was profiled using whole-blood RNA extraction and cDNA synthesis, followed by custom OpenArray PCR of a targeted immune-related gene panel. A subset of 40 participants (20 MDD, 20 HC) underwent 500-second resting-state 3T fMRI with simultaneous electrocardiographic recording. HRV was derived from the electrocardiogram. Time-varying estimates of sympathetic and parasympathetic-vagal activity were obtained using bivariate autoregressive modeling and included as regressors in a general linear model to identify brain regions showing fMRI responses to autonomic dynamics [5]. Immune-related gene-expression data were summarized using principal component analysis (PCA) to derive data-driven immune dimensions. HRV-fMRI measures were then projected onto the immune PCA space. Regression models assessed the effects of immune component scores on HRV measures and HRV-related fMRI responses, adjusting for age and sex, with PC-by-group interactions testing group-specific associations.
Results
PCA identified distinct immune dimensions. PC1 reflected an adaptive lymphocyte-related immune profile, characterized by higher expression of T-/B-cell and regulatory markers, with the strongest positive loadings including CD19, FOXP3, GATA3, and IL2RA. PC2 captured a pro-inflammatory, immune-recruitment pattern, with the strongest positive loadings including IL18, TNF, CXCL8, and PTX3. PC2 was associated with reduced HRV, with significant effects on low-frequency (LF, p=0.010), high-frequency (HF, p=0.033), and root-mean-square of successive differences (RMSSD, p=0.017), indicating decreased autonomic variability with increasing immune activation. PC2-by-group interactions indicated stronger negative associations in HC than in MDD (LF, p=0.047; HF, p=0.033; RMSSD, p=0.024). Multimodal HRV-driven fMRI analyses revealed reduced HRV-related responses in MDD within regions of the central autonomic network (p<0.001). Immune status was associated with vagal-linked brain activity, with PC1 primarily linked to anterior cingulate responses (p=0.028), and both PC1 (trend, p=0.06) and PC2 linked to anterior insula activity, where associations showed nonlinear profiles (PC1², p=0.018; PC2², p=0.016).
Conclusions
A pro-inflammatory, immune-recruitment gene-expression profile is associated with reduced autonomic variability, and immune-autonomic coupling appears altered in late-onset MDD, reflecting reduced physiological flexibility. Immune-related modulation of brain activity in central autonomic regions further supports a multi-level dysregulation, with brain responses suggesting more complex integration of intrinsic regulatory and peripheral inflammatory signals. These findings move beyond single-organ views, supporting a multi-system model of depression. This perspective may help refine patient stratification and inform future strategies aimed at restoring integrated neurovisceral regulation.
References
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- Goffi, F., Enrico, P., Reali, P., Torino, G., Marra, P. M., Di Consoli, L., Ferro, A., Schiena, G., Torrente, Y., Lombardi, L., Triulzi, F. M., Bianchi, A. M., Brambilla, P., & Maggioni, E. (2026). Brain-heart interactions in late-onset major depressive disorder revealed by multimodal HRV-driven fMRI. Communications Biology. https://doi.org/10.1038/s42003-026-10156-5