BD² Discovery Research is the cornerstone of our hypothesis-driven, cross-disciplinary program to improve understanding of the biological mechanisms of bipolar disorder.

We have funded four multidisciplinary teams of scientists and clinicians to execute targeted and innovative research that examine the genetic, molecular, cellular, circuit, or behavioral mechanisms of bipolar disorder.

The teams led by researchers at Wyss Institute at Harvard University, New York Genome Center, Stanford University, and Yale University will work collaboratively to develop and share strategies, data, and resources. BD²’s real-time data sharing and open access practices will accelerate the speed of discovery and advances in treatment.

This approach is modeled after the Aligning Science Across Parkinson’s Collaborative Research Network (ASAP CRN).

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Active Grants

Each project will proactively share findings across Discovery Research projects and the BD² Integrated Network to facilitate progressive collaboration and the improvement of clinical care more quickly.

  • 2023

    Identifying Novel Mitochondrial Mechanisms in Bipolar Disorder

    Investigating the mitochondrial-related genes, metabolic changes, and the central importance of energy- and activity-related symptoms at the onset of bipolar-related episodes to expand foundational knowledge about bipolar disorder biology and translate that into pharmacological therapeutics and behavioral interventions.
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    Study Rationale

    Mitochondrial mechanisms are highly implicated in bipolar disorder. Growing evidence show involvement of mitochondrial-related genes and metabolic changes, and increased recognition of the central importance of energy- and activity-related symptoms at the onset of bipolar-related episodes.

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    Hypothesis

    Mitochondrial mechanisms, such as the ATP synthase c subunit leak channel (ACLC), are causative in the development of bipolar disorder.

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    Study Design

    Investigate brain mitochondrial metabolism and function in vivo using a variety of neuroimaging approaches. Further explore molecular mechanisms, including mitochondrial mechanisms, of bipolar disorder using stem-cell approaches. Finally, the study will discover new neuronal mitochondrial metabolic mechanisms via a genomics and metabolomics platform that explores relevant mitochondrial-related genes.

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    Impact on Diagnosis & Treatment

    The ACLC mitochondrial mechanism is inhibited by lithium, and there are specific ACLC inhibitors available, one with safety shown in humans. Thus, findings of this project could be translated rapidly to new therapeutics for bipolar disorder. In addition, as lifestyle changes, such as diet, can influence mitochondrial differences, their identification could provide support for behavioral interventions.

    Team

    Lead PI:
    Hilary Blumberg, MD
    Yale University
    Co-PIs:
    Elizabeth Jonas, MD
    Yale University
    Hongying Shen, PhD
    Yale University
    In-Hyun Park, PhD
    Yale University
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    Project Outcomes

    This project can expand our foundational knowledge about bipolar disease biology, especially in mitochondria, and could be quickly translated into pharmacological therapeutics and behavioral interventions.

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  • 2023

    Bipolar Disorder Genes In Brain Circuits Controlling Sleep and Wake Cycles

    Providing a more complete picture of the biological mechanisms underlying bipolar disorder, especially those involved in sleep and mania-like behaviors. This could guide therapeutic development by linking genetic changes to circuit and behavioral level impacts.
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    Study Rationale

    Studies of people with bipolar disorder have indicated multiple genes associated with the disorder, notably those involved in sleep. Bipolar disorder is characterized by significant disturbances in sleep/wake cycles, and bipolar disorder drugs such as lithium correct sleep/wake disruption. This project will engineer mice with bipolar disorder risk gene mutations and use the biological readout of sleep. This approach is highly relevant to bipolar disorder, as mice share these human risk genes.

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    Hypothesis

    Mutations in bipolar disorder-linked genes in neurons in the ventral tegmental area and lateral hypothalamus contribute to mania-related behaviors.

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    Study Design

    This team has chosen a short list of genes to disrupt in mice based on their strong associations with bipolar disorder, mania-like behaviors in rodents, and the ability of mood stabilizers such as lithium to normalize these behaviors. The study will pioneer the use of cutting-edge CRISPR technology to disrupt bipolar disorder-linked genes from cells in two specific brain regions already linked to mania-like phenotypes, sleep regulation, and impulsive behavior. The team will then focus on sleep/wake disruption and mania-related behaviors in mice that are a hallmark of bipolar disorder in people.

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    Impact on Diagnosis & Treatment

    By identifying the effects of bipolar disorder-linked gene disruptions on sleep, specific brain pathways, and behavior, this work will deliver a more complete picture of the roles of each genetic risk factor. This study will provide a powerful tool to test any new gene targets identified within the BD2 network, and the approach will also be used to test multiple gene disruption on mania-related behaviors. The team will also test stress and lithium (that stabilizes mood in many with bipolar disorder) when each gene is disrupted, helping us to understand who may be more susceptible to acute stress or more likely to be helped by lithium.

    Team

    Lead PI:
    Julie Kauer, PhD
    Stanford University
    Co-PIs:
    Kristin Raj, MD
    Stanford University
    Lief Fenno, MD, PhD
    University of Texas Austin
    Luis de Lecea, PhD
    Stanford University
    Yevgenia Kozorovitskiy, PhD
    Northwestern University
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    Project Outcomes

    This study will provide insight into how bipolar risk genes regulate sleep and mania-like behaviors. The CRISPR reagents that will be developed represent a bipolar disorder toolbox for broad use by other labs. This study hopes to guide therapeutic development by linking genetic changes to defined circuit and behavioral level impacts.

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  • 2023

    Examining Convergent Mechanisms Through Stem Cells

    Delineating causal mechanisms of bipolar disorder using scalable multiomic profiling and genome engineering in patient-derived neuron models.
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    Study Rationale

    This study aims to uncover the genetic underpinnings of bipolar disorder, using multiple stem cell approaches to unravel the shared biology of common and rare variants in people with African ancestry.

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    Hypothesis

    Different genetic risk factors affect changes that converge onto shared genes, biological processes, and pathways.

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    Study Design

    This study will examine the biology of common and rare genetic variants in a cohort of 70 people with African ancestry living with bipolar disorder and 70 matched control participants. The team will investigate the causal biological effects of the genetic variants. Biological readouts will be examined to determine how these genetic variants may converge onto common biological pathways.

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    Impact on Diagnosis & Treatment

    The team’s ability to manipulate the biology of induced pluripotent stem cells will substantially benefit the field, further reducing the standard timeline of basic scientific discovery to clinical relevance.

    Team

    Lead PI:
    Thomas Lehner, PhD, MD
    New York Genome Center
    Co-PIs:
    Carlos Pato, PhD, MD
    Rutgers University
    Michele Pato, MD
    Rutgers University
    Neville Sanjana, PhD
    New York Genome Center and New York University
    Tarjinder Singh, PhD
    New York Genome Center and Columbia University
    Tuuli Lappalainen, PhD
    New York Genome Center and KTH Royal Institute of Technology
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    Project Outcomes

    This project will provide a massive data set of genes, cell lines, processes, and molecular pathways that may underlie bipolar disorder. It may lead to greater understanding of the genetic risks of bipolar disorder especially in the population of people with African descent.

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  • 2023

    CircaVent: A Drug Prediction and Discovery Platform for Bipolar Disorder

    Increasing our understanding of drug action and the pathophysiology of bipolar disorder to provide better insight on mechanisms of action in current treatments, improve upon the use of current treatments, and develop better alternatives.
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    Study Rationale

    A holistic understanding of the molecular mechanisms leading to the onset of bipolar disorder as well as the successful outcomes after treatment is key to improving treatment regimens and robust alternatives. Current medications for bipolar disorder, including lithium and antipsychotics, have a narrow therapeutic impact and can have undesirable acute and long-term side effects.

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    Hypothesis

    CircaVent probes the mechanisms of current interventions to identify alternative interventions and understand how they function in bipolar disorder.

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    Study Design

    The CircaVent platform combines in silico drug prediction with data from state-of-the-art in vitro and -omics technologies. Hypothesis generation takes place in patient-derived brain organoids, a proxy of a patient’s brain generated from their own cells. Potential drug candidates are validated in organoids by evaluating their global effects on neuronal activity and other multi-dimensional datasets. Most promising drugs will be verified in in vivo models focusing on circadian intervention. Once the team identifies promising treatments and treatment targets, they will work with clinicians to bring them directly to patients and monitor outcomes.

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    Impact on Diagnosis & Treatment

    Standard treatment orthodoxies, including lithium, rely heavily on addressing the symptoms without a complete understanding of their global effects on brain chemistry. The goal of the project is to understand the mechanism of current therapies to identify alternative therapeutics for bipolar disorder with a focus on measuring and mitigating its effects on circadian rhythms, neurochemistry, and a host of other factors that can adversely affect a patient’s quality of life.

    Team

    Lead PI:
    Jenny Tam, PhD
    Wyss Institute at Harvard University
    Co-PIs:
    Bogdan Budnik, PhD
    Wyss Institute at Harvard University
    Katharina Meyer, PhD
    Wyss Institute at Harvard University
    Ninning Liu, PhD
    Wyss Institute at Harvard University
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    Project Outcomes

    The CircaVent platform is designed to rapidly test established and potential treatment modalities in combination to determine the therapeutic potential of prospective drugs. This clinical-back-to-basic-biology pipeline can quickly identify potential commonalities in treatment impact, which could help eliminate or identify interventions in a rigorous and standardized manner.

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Science funding icon

Interested in funding opportunities for bipolar disorder research? The Discovery Research cycle 2 RFA is now open.

Explore Our Work

Learn how BD² will close a fundamental gap in understanding the genetic mechanisms of bipolar disorder and the biological tissue that it impacts.