Naomi Wray Chair , Graham Murray Co-chair , Andrew McIntosh Discussant
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引用次数: 0
Abstract
Background
Pharmacological treatment of Major Depressive Disorder (MDD) remains largely empirical with only 27% of patients remitting on first-line medications. These differential responses to antidepressants likely reflect underlying biological heterogeneity in MDD. Here, we investigated MDD heterogeneity through mutually-exclusive groups based on sustained fill of specific antidepressant scripts.
Methods
Using the Australian Genetics of Depression Study (AGDS, 2017-2018) linked to pharmaceutical records (Jul 2013-Dec 2018), we identified mutually exclusive MDD subgroups based on sustained use of a single antidepressant (≥360 cumulative days over 4.5 years) among the 10 most commonly dispensed antidepressants. Among 9,844 participants with self-reported MDD, inferred European ancestry, genotyping, and antidepressant records, we identified 6,106 (62%) with sustained single-antidepressant use without comorbid self-reported bipolar disorder (BIP), 220 (2.2%) with comorbid BIP and ≥4 lithium dispenses (BIP+L group), and 846 (14%) with comorbid BIP but < 4 lithium dispenses (BIP-L group). The reference category for medication class comparisons was the Selective Serotonin Reuptake Inhibitors (SSRIs, N=3,573) group, and for within-class comparisons, it was the SSRI-sertraline (N=1,117) group, as the most common sustained treatments in the AGDS. As a sensitivity analysis, the sustained use threshold was increased to ≥600 cumulative days. To understand innate biological heterogeneity predating depression onset, we investigated associations with 18 polygenic scores (PGS) and reported results passing Bonferroni correction.
Results
The high self-reported treatment response rates among participants after 360+ days of antidepressant use (>90%) support our dispense threshold as a reasonable proxy for treatment acceptability. Compared to the SSRI group, the tetracyclic antidepressant (TeCA-mirtazapine) group (N=177) had higher self-reported suicidal ideation (OR=1.8, 95% CI=1.3-2.6, p=8.7e-4), while the tricyclic antidepressant (TCA-amitriptyline) group (N=151) showed higher rates of physical comorbidities, specifically chronic pain (OR=4.2, CI=2.9-5.9, p=5.3e-15). Reassuringly, the BIP±L groups were strongly associated with BIP PGS (BIP+L: β=0.280 AGDS standard deviation units, SE=0.069, p=5.6e-5; BIP-L: β=0.323, SE=0.038, p=3.5e-17). Under the more stringent sustained use threshold (≥600 days), the duloxetine group (a serotonin norepinephrine reuptake inhibitor, SNRI; N=500) had higher mean body mass index (BMI) PGS (β=0.18, SE= 0.057, p=1.60e-2) and higher self-reported BMI (β=1.35, SE=0.038, p=3.50e-4) compared to the SSRI-sertraline group. After adjustment for BMI PGS, the higher mean self-reported BMI in the duloxetine group was completely eliminated (β=-0.37, SE=0.85, p=0.66), indicating a potential genetic-cardiometabolic influence on SNRI-duloxetine acceptability.
Conclusion
PGS associations with specific antidepressant use may reflect heterogeneous genetic underpinnings of treatment acceptability and inform personalized approaches for MDD. Replication analyses in international cohorts (UKB, Lifelines, and iPSYCH) are underway to determine which signatures reflect robust biological relationships versus artifacts of clinical practice.
期刊介绍:
European Neuropsychopharmacology is the official publication of the European College of Neuropsychopharmacology (ECNP). In accordance with the mission of the College, the journal focuses on clinical and basic science contributions that advance our understanding of brain function and human behaviour and enable translation into improved treatments and enhanced public health impact in psychiatry. Recent years have been characterized by exciting advances in basic knowledge and available experimental techniques in neuroscience and genomics. However, clinical translation of these findings has not been as rapid. The journal aims to narrow this gap by promoting findings that are expected to have a major impact on both our understanding of the biological bases of mental disorders and the development and improvement of treatments, ideally paving the way for prevention and recovery.