IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i4p771-d141419.html
   My bibliography  Save this article

Predictors of Response to Ketamine in Treatment Resistant Major Depressive Disorder and Bipolar Disorder

Author

Listed:
  • Carola Rong

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada)

  • Caroline Park

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada
    Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada)

  • Joshua D. Rosenblat

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada
    Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada)

  • Mehala Subramaniapillai

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada
    Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada)

  • Hannah Zuckerman

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada)

  • Dominika Fus

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada)

  • Yena L. Lee

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada
    Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada)

  • Zihang Pan

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada
    Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada)

  • Elisa Brietzke

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada
    Department of Psychiatry, Federal University of São Paulo, São Paulo 05403-903, Brazil)

  • Rodrigo B. Mansur

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada
    Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada)

  • Danielle S. Cha

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada)

  • Leanna M. W. Lui

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada)

  • Roger S. McIntyre

    (Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, ON MT5 2S8, Canada
    Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada
    Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
    Department of Pharmacology, University of Toronto, 399 Bathurst Street, Toronto, ON M5T 2S8, Canada)

Abstract

Objectives: Extant evidence indicates that ketamine exerts rapid antidepressant effects in treatment-resistant depressive (TRD) symptoms as a part of major depressive disorder (MDD) and bipolar disorder (BD). The identification of depressed sub-populations that are more likely to benefit from ketamine treatment remains a priority. In keeping with this view, the present narrative review aims to identify the pretreatment predictors of response to ketamine in TRD as part of MDD and BD. Method: Electronic search engines PubMed/MEDLINE, ClinicalTrials.gov, and Scopus were searched for relevant articles from inception to January 2018. The search term ketamine was cross-referenced with the terms depression, major depressive disorder, bipolar disorder, predictors , and response and/or remission . Results: Multiple baseline pretreatment predictors of response were identified, including clinical (i.e., Body Mass Index (BMI), history of suicide, family history of alcohol use disorder), peripheral biochemistry (i.e., adiponectin levels, vitamin B12 levels), polysomnography (abnormalities in delta sleep ratio), neurochemistry (i.e., glutamine/glutamate ratio), neuroimaging (i.e., anterior cingulate cortex activity), genetic variation (i.e., Val66Met BDNF allele), and cognitive functioning (i.e., processing speed). High BMI and a positive family history of alcohol use disorder were the most replicated predictors. Conclusions: A pheno-biotype of depression more, or less likely, to benefit with ketamine treatment is far from complete. Notwithstanding, metabolic-inflammatory alterations are emerging as possible pretreatment response predictors of depressive symptom improvement, most notably being cognitive impairment. Sophisticated data-driven computational methods that are iterative and agnostic are more likely to provide actionable baseline pretreatment predictive information.

Suggested Citation

  • Carola Rong & Caroline Park & Joshua D. Rosenblat & Mehala Subramaniapillai & Hannah Zuckerman & Dominika Fus & Yena L. Lee & Zihang Pan & Elisa Brietzke & Rodrigo B. Mansur & Danielle S. Cha & Leanna, 2018. "Predictors of Response to Ketamine in Treatment Resistant Major Depressive Disorder and Bipolar Disorder," IJERPH, MDPI, vol. 15(4), pages 1-10, April.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:771-:d:141419
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/4/771/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/4/771/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Won Ju Hwang & Jin Ah Kim & Sally H. Rankin, 2017. "Depressive Symptom and Related Factors: A Cross-Sectional Study of Korean Female Workers Working at Traditional Markets," IJERPH, MDPI, vol. 14(12), pages 1-11, November.
    2. Natalia Wege & Peter Angerer & Jian Li, 2017. "Effects of Lifetime Unemployment Experience and Job Insecurity on Two-Year Risk of Physician-Diagnosed Incident Depression in the German Working Population," IJERPH, MDPI, vol. 14(8), pages 1-9, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ante Krolo & Barbara Gilic & Nikola Foretic & Haris Pojskic & Raouf Hammami & Miodrag Spasic & Ognjen Uljevic & Sime Versic & Damir Sekulic, 2020. "Agility Testing in Youth Football (Soccer)Players; Evaluating Reliability, Validity, and Correlates of Newly Developed Testing Protocols," IJERPH, MDPI, vol. 17(1), pages 1-15, January.
    2. Gintarė Kalinienė & Dalia Lukšienė & Rūta Ustinavičienė & Lina Škėmienė & Vidmantas Januškevičius, 2021. "The Burnout Syndrome among Women Working in the Retail Network in Associations with Psychosocial Work Environment Factors," IJERPH, MDPI, vol. 18(11), pages 1-11, May.
    3. Sonia Nawrocka & Hans De Witte & Margherita Brondino & Margherita Pasini, 2021. "On the Reciprocal Relationship between Quantitative and Qualitative Job Insecurity and Outcomes. Testing a Cross-Lagged Longitudinal Mediation Model," IJERPH, MDPI, vol. 18(12), pages 1-28, June.
    4. Yucel Demiral & Tobias Ihle & Uwe Rose & Paul Maurice Conway & Hermann Burr, 2022. "Precarious Work as Risk Factor for 5-Year Increase in Depressive Symptoms," IJERPH, MDPI, vol. 19(6), pages 1-21, March.
    5. Won Ju Hwang & Hyun Hee Jo, 2019. "Evaluation of the Effectiveness of Mobile App-Based Stress-Management Program: A Randomized Controlled Trial," IJERPH, MDPI, vol. 16(21), pages 1-13, November.
    6. Roger C. M. Ho & Anna C. Chua & Bach X. Tran & Carol C. Choo & Syeda Fabeha Husain & Giang T. Vu & Roger S. McIntyre & Cyrus S. H. Ho, 2018. "Factors Associated with the Risk of Developing Coronary Artery Disease in Medicated Patients with Major Depressive Disorder," IJERPH, MDPI, vol. 15(10), pages 1-13, September.
    7. Matilde Leonardi & Davide Guido & Rui Quintas & Fabiola Silvaggi & Erika Guastafierro & Andrea Martinuzzi & Somnath Chatterji & Seppo Koskinen & Beata Tobiasz-Adamczyk & Josep Maria Haro & Maria Cabel, 2018. "Factors Related to Unemployment in Europe. A Cross-Sectional Study from the COURAGE Survey in Finland, Poland and Spain," IJERPH, MDPI, vol. 15(4), pages 1-21, April.
    8. Syahrir Zaini & Harvin Anbu Manivanna Bharathy & Ahmad Hatim Sulaiman & Jesjeet Singh Gill & Koh Ong Hui & Hasniza Zaman Huri & Siti Hadijah Shamsudin & Ng Chong Guan, 2018. "Development of a Strategic Tool for Shared Decision-Making in the Use of Antidepressants among Patients with Major Depressive Disorder: A Focus Group Study," IJERPH, MDPI, vol. 15(7), pages 1-12, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:771-:d:141419. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.