PhD Scientific Days 2023

Mental Health Sciences III.

Olfactory Receptors as a Potential Pathomechanism for Depression When No Classic Risk Factors Are Present in Women? Genomic Results from the UK Biobank Cohort

Előadó neve

Dr. Eszlári, Nóra

Neptun code

U4KWSO

Előadó munkahelye

Department of Pharmacodynamics

Előadó telefonszáma

+36304902112

Előadó e-mail címe

eszlari.nora@gmail.com

Az előadás címe

Olfactory Receptors as a Potential Pathomechanism for Depression When No Classic Risk Factors Are Present in Women? Genomic Results from the UK Biobank Cohort

Szerző(k) neve és munkahelye

Nora Eszlari1,2, Gabor Hullam1,3, Zsofia Gal1,2, Dora Torok1,2, Tamas Nagy1,2,3, Andras Millinghoffer2,3, Daniel Baksa1,2,4, Peter Antal3, Gyorgy Bagdy1,2, Gabriella Juhasz1,2

1 Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
2 NAP3.0-SE Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
3 Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary
4 Department of Personality and Clinical Psychology, Institute of Psychology, Faculty of Humanities and Social Sciences, Pazmany Peter Catholic University, Budapest, Hungary

Bemutatás módja

Szóbeli

Szekció

Mental Health Sciences III.

Language of the presentation

Hungarian

Preferred session

Mental Sciences

Összefoglaló szövege

Introduction
Although stratification of depressed patients based on their specific therapeutic needs is a promising approach, current precision medicine perspectives would mainly rely on biomarkers that require a highly expertized assessment. Instead, a useful stratification based on more easily measureable risk factors but delineating pathophysiologically distinct subgroups could be an emerging approach.
Aims
Therefore, our present aim was to stratify participants of the UK Biobank cohort based on three easily measurable depression risk factors independent of each other, and then to investigate depression genomics in each subgroup, thus promoting discovery of potential novel pathophysiological mechanisms specific to each one.
Methods
Two-step cluster analysis was run in IBM SPSS, separately in females (n=174,528) and males (n=149,875). Clustering variables were neuroticism (a propensity to experience negative emotions), body fat percentage, and years spent in education. Genome-wide association analyses were run with Plink2 within each of the resulting clusters, for the lifetime occurrence of either depressive episode (ICD10 F32) or recurrent depressive disorder (ICD10 F33) as the outcome. Gene variant-based results were entered into gene-based and gene set-based tests with FUMA, and into genetic correlation and latent causal variable analyses with CTG-VL.
Results
Although our analyses resulted in phenotypically distinct clusters in both sexes, they showed high genetic intercorrelations with each other in depression genomics. However, marked unique genetic variance emerged for depression in the cluster of females with a protective pattern of low neuroticism, low body fat percentage, and high level of education. Moreover, gene sets of odorant receptor genes were significantly enriched within the same female cluster.
Conclusions
Our results may constitute a bridge from rodent depression models of olfactory bulbectomy and ‘chronic unpredictable mild stress’ towards precision psychiatry.
Funding
ÚNKP-22-4-II-SE-1; NAP2022-I-4/2022; K 143391; 2019-2.1.7-ERA-NET-2020-00005; TKP2021-EGA-25

University and Doctoral School

Other, please specify in the next box

Other university and doctoral school, not listed above

Semmelweis University, post-doctoral ÚNKP

Supervisor

-

Publication of my abstract

I do not give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

1049

Start

12:00

End

12:15

Authors (legacy)

Nora Eszlari1,2, Gabor Hullam1,3, Zsofia Gal1,2, Dora Torok1,2, Tamas Nagy1,2,3, Andras Millinghoffer2,3, Daniel Baksa1,2,4, Peter Antal3, Gyorgy Bagdy1,2, Gabriella Juhasz1,2

1 Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
2 NAP3.0-SE Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
3 Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary
4 Department of Personality and Clinical Psychology, Institute of Psychology, Faculty of Humanities and Social Sciences, Pazmany Peter Catholic University, Budapest, Hungary