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620. IDENTIFICATION OF BLOOD BIOMARKERS OF PSILOCYBIN-ASSISTED THERAPY TREATMENT RESPONSE FOR GENERALISED ANXIETY DISORDER

Andrew S. Gibbons, Paul Liknaitzky, Suresh Sundram

The International Journal of Neuropsychopharmacology August 1, 2025 DOI: 10.1093/ijnp/pyaf052.154 via OpenAlex

Summary

AI-generated from the abstract

Generalised Anxiety Disorder (GAD) is often treated with psilocybin-assisted therapy (PAT), but only about 44% of participants respond. This multi-omic study compared blood samples from 11 responders and 13 non-responders after a 6-week PAT regime. Five genes were differentially expressed between groups, including CTXN2-AS1 and HLA-V. A panel of four genes (CTXN2-AS1, DUT-AS1, HLA-V, and PARP16) could distinguish 45% of responders from all other participants. These findings suggest potential blood biomarkers for predicting PAT response in GAD, though validation in larger cohorts is needed.

Study at a glance

Characteristics Observational cohort Peer reviewed
Sample size 24
Population Participants with Generalised Anxiety Disorder (GAD) who completed a 6-week psilocybin-assisted therapy regime
Intervention psilocybin-assisted therapy
Duration 6-week treatment regime, primary endpoint at 11 weeks after commencing treatment
Topics Anxiety Psilocybin
Keywords Medicine Identification biology Psychology
Key finding A panel of four genes (CTXN2-AS1, DUT-AS1, HLA-V, and PARP16) was able to separate 45% of participants with GAD who responded to psilocybin-assisted therapy from all other participants.

Abstract

Abstract Background Early intervention and management of Generalised Anxiety Disorder (GAD) is essential to effectively reduce both symptom severity and the risk of developing other psychiatric disorders. However, current first-line treatments are only about 50% effective, with high rates of relapse and many adverse effects. Psychedelic medicines, such as psilocybin, have emerged as promising medications for treatment-refractory mood and anxiety disorders. However, between a third to a half of clinical trial participants fail to respond to psychedelic therapies, subjecting them to intensive but ultimately successful treatments and delaying more effective treatment strategies. A recent Phase II clinical trial examining the efficacy of psilocybin assisted therapy (PAT) for the treatment of GAD found that 44% of participants with GAD responded to treatment with 27% of participants achieving symptom remission at 11 weeks after commencing treatment (primary endpoint). Thus, there is a need to identify which individuals with GAD are likely to respond to PAT and direct probable non-responders to alternate therapies. Aims & Objectives We aimed to identify potential blood biomarkers of PAT treatment-response using a multi-omic approach. Method Following a 6-week treatment regime of PAT, whole blood was collected from 11 participants with GAD who responded to PAT at primary endpoint (≥50% reduction in HAM-A score) and 13 PAT non-responders. Total RNA and genomic DNA was isolated from the blood. RNAseq at 50 million reads/sample was used to measure differential gene expression and Infinium MethylationEPIC v2.0 bead chips were used to identify differential DNA methylation in the samples. Variation in gene sequence was examined using NGS whole genome sequencing at 30x coverage. Results Following FDR correction, 5 genes were found to be differentially expressed in PAT responders vs non-responders: CTXN2-AS1 (F.C. log2 = 4.6; q < 0.001), DUT-AS1 (F.C. log2 = 2.6; q < 0.001), HLA-V (F.C. log2 = -4.8; q < 0.001), PARP16 (F.C. log2 = 0.3 q < 0.05), and SAXO2 (F.C. log2 = -2.52; q < 0.05). Cluster analysis identified the expression levels of a panel of 4 genes: CTXN2-AS1, DUT-AS1, HLA-V and PARP16, were able to separate 45% of the participants with GAD that responded to PAT at primary endpoint from all other participants. Discussion & Conclusions This is a first of its kind, multi-omic study of psychedelic treatment for a mental illness in a clinical cohort. We have identified a panel of 4 genes that may be useful in identifying whether a patient with GAD is likely to respond to PAT. Further study is needed to validate these genes as treatment response biomarkers in a larger cohort, and to determine whether these or other genes predict treatment response prior to commencing PAT.

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