medRxivGenetic & Genomic MedicinePreprint
Disruptive mutations in the serotonin transporter associate serotonin dysfunction with treatment-resistant affective disorder
Jonatan Fullerton StøieriD, Trine Nygaard Jørgensen, Thomas Sparsø, Henrik Berg RasmusseniD, Vivek KumariD, Amy Hauck NewmaniD, Randy BlakelyiD, Thomas Mears WergeiD, Ulrik GetheriD, Freja HerborgiD
Abstract
Affective or mood disorders are a leading cause of disability worldwide. The serotonergic system has been heavily implicated in the complex etiology and serves as a therapeutic target. The serotonin transporter (SERT) is a major regulator of serotonin neurotransmission, yet the disease-relevance of impaired SERT function remains unknown. Here, we present the first identification and functional characterization of disruptive coding SERT variants found in patients with psychiatric diseases. In a unique cohort of 144 patients characterized by treatment-resistant chronic affective disorders with a lifetime history of electroconvulsive therapy, we identified two previously uncharacterized coding SERT variants: SERT-N217S and SERT-A500T. Both variants were significantly enriched in the patient cohort compared to GnomAD (SERT-N217S: OR = 151, P = 0.0001 and SERT-A500T: OR = 1348, P = 0.0022) and ethnicity-matched healthy controls (SERT-N217S: OR [≥] 17.7, P [≤] 0.013 and SERT-A500T: OR = {infty}, P = 0.029). Functional investigations revealed that the mutations exert distinct perturbations to SERT function, but their overall effects converge on a partial loss-of-function molecular phenotype. Thus, the SERT-A500T variant compromises the catalytic activity, while SERT-N217S disrupts proper glycosylation of SERT with a resulting dominant-negative trafficking deficiency. Moreover, we demonstrate that the trafficking deficiency of SERT-N217S is amenable to pharmacochaperoning by noribogaine. Collectively, our findings describe the first disease-associated loss-of-function SERT variants and implicate serotonergic disturbances arising from SERT dysfunction as a risk factor for chronic affective disorders.
- organism: human
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 4
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