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The molecular neurobiology of depression

Author

Listed:
  • Vaishnav Krishnan

    (The University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.
    The University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.)

  • Eric J. Nestler

    (The University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.
    The University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.
    Mount Sinai School of Medicine)

Abstract

Unravelling the pathophysiology of depression is a unique challenge. Not only are depressive syndromes heterogeneous and their aetiologies diverse, but symptoms such as guilt and suicidality are impossible to reproduce in animal models. Nevertheless, other symptoms have been accurately modelled, and these, together with clinical data, are providing insight into the neurobiology of depression. Recent studies combining behavioural, molecular and electrophysiological techniques reveal that certain aspects of depression result from maladaptive stress-induced neuroplastic changes in specific neural circuits. They also show that understanding the mechanisms of resilience to stress offers a crucial new dimension for the development of fundamentally novel antidepressant treatments.

Suggested Citation

  • Vaishnav Krishnan & Eric J. Nestler, 2008. "The molecular neurobiology of depression," Nature, Nature, vol. 455(7215), pages 894-902, October.
  • Handle: RePEc:nat:nature:v:455:y:2008:i:7215:d:10.1038_nature07455
    DOI: 10.1038/nature07455
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    Cited by:

    1. Dragan Glavaš & Irena Pavela Banai, 2024. "Physical Activity and Mental Health of Employed Adults: Mediation and Moderation Effects of Beliefs in the Benefits of Physical Activity," IJERPH, MDPI, vol. 21(7), pages 1-11, June.
    2. Jia Luo & Changfa Tang & Xiaobin Chen & Zhanbing Ren & Honglin Qu & Rong Chen & Zhen Tong, 2020. "Impacts of Aerobic Exercise on Depression-Like Behaviors in Chronic Unpredictable Mild Stress Mice and Related Factors in the AMPK/PGC-1α Pathway," IJERPH, MDPI, vol. 17(6), pages 1-12, March.
    3. Nahoko Kuga & Ryota Nakayama & Shota Morikawa & Haruya Yagishita & Daichi Konno & Hiromi Shiozaki & Natsumi Honjoya & Yuji Ikegaya & Takuya Sasaki, 2023. "Hippocampal sharp wave ripples underlie stress susceptibility in male mice," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    4. Shaoqiang Han & Qian Cui & Ruiping Zheng & Shuying Li & Bingqian Zhou & Keke Fang & Wei Sheng & Baohong Wen & Liang Liu & Yarui Wei & Huafu Chen & Yuan Chen & Jingliang Cheng & Yong Zhang, 2023. "Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

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