Joanna Biernacka

Associate Professor

Mayo Clinic

United States

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Joanna Biernacka is an Associate Professor at the Mayo Clinic in the United States. Her research focuses on various aspects of bipolar disorder, including molecular mechanisms, functional impairment, and pharmacogenomics. Recent articles highlight her work on ferroptosis, the exposome, and the role of genetics in treatment outcomes for alcohol use disorder and mood stabilizers. Dr. Biernacka employs multi-omics approaches and single-cell transcriptomics to investigate the complexities of mental health disorders.

Articles (13)

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2025

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2021

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2021

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Mayo Clinic

UNITED STATES

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Joanna Biernacka

Research Interests

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Articles (13)

Ferroptosis as a potential molecular mechanism of bipolar disorder

Measuring the exposome in bipolar disorder

Molecular mechanisms involved in alcohol craving, IRF3, and endoplasmic reticulum stress: a multi-omics study

Phenotypic distinctions in depression and anxiety: a comparative analysis of comorbid and isolated cases

Predictors of functional impairment in bipolar disorder: Results from 13 cohorts from seven countries by the global bipolar cohort collaborative

Single cell transcriptomics reveals distinct transcriptional responses to oxycodone and buprenorphine by iPSC-derived brain organoids from patients with opioid use disorder

Dynamic insulin‐stimulated mTOR/GSK3 signaling in peripheral immune cells: Preliminary evidence for an association with lithium response in bipolar disorder

Genetic contributions to alcohol use disorder treatment outcomes: a genome-wide pharmacogenomics study

Multi-omics driven predictions of response to acute phase combination antidepressant therapy: a machine learning approach with cross-trial replication

Genetics and antiepileptic mood stabilizer treatment response in bipolar disorder: what do we know?

Testing and estimation of X‐chromosome SNP effects: Impact of model assumptions

TSPAN5 influences serotonin and kynurenine: pharmacogenomic mechanisms related to alcohol use disorder and acamprosate treatment response

Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings

Collaborators (8)

Susannah Tye

Augustus Rush

Man Choi Ho

Stacey J. Winham

Marin Veldic

Balwinder Singh

Hilary Blumberg

Brandon Coombes

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