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Molecular mechanisms of nociception

Author

Listed:
  • David Julius

    (University of California San Francisco)

  • Allan I. Basbaum

    (University of California San Francisco)

Abstract

The sensation of pain alerts us to real or impending injury and triggers appropriate protective responses. Unfortunately, pain often outlives its usefulness as a warning system and instead becomes chronic and debilitating. This transition to a chronic phase involves changes within the spinal cord and brain, but there is also remarkable modulation where pain messages are initiated — at the level of the primary sensory neuron. Efforts to determine how these neurons detect pain-producing stimuli of a thermal, mechanical or chemical nature have revealed new signalling mechanisms and brought us closer to understanding the molecular events that facilitate transitions from acute to persistent pain.

Suggested Citation

  • David Julius & Allan I. Basbaum, 2001. "Molecular mechanisms of nociception," Nature, Nature, vol. 413(6852), pages 203-210, September.
    • Handle: RePEc:nat:nature:v:413:y:2001:i:6852:d:10.1038_35093019
    DOI: 10.1038/35093019
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    Cited by:

    1. Shengbo Wang & Shuo Gao & Chenyu Tang & Edoardo Occhipinti & Cong Li & Shurui Wang & Jiaqi Wang & Hubin Zhao & Guohua Hu & Arokia Nathan & Ravinder Dahiya & Luigi Giuseppe Occhipinti, 2024. "Memristor-based adaptive neuromorphic perception in unstructured environments," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Yu Tao & Yuan Zhang & Xiaohong Jin & Nan Hua & Hong Liu & Renfei Qi & Zitong Huang & Yufang Sun & Dongsheng Jiang & Terrance P. Snutch & Xinghong Jiang & Jin Tao, 2023. "Epigenetic regulation of beta-endorphin synthesis in hypothalamic arcuate nucleus neurons modulates neuropathic pain in a rodent pain model," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    3. Jörn Lötsch & Violeta Dimova & Isabel Lieb & Michael Zimmermann & Bruno G Oertel & Alfred Ultsch, 2015. "Multimodal Distribution of Human Cold Pain Thresholds," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-12, May.
    4. Jan Hasenauer & Christine Hasenauer & Tim Hucho & Fabian J Theis, 2014. "ODE Constrained Mixture Modelling: A Method for Unraveling Subpopulation Structures and Dynamics," PLOS Computational Biology, Public Library of Science, vol. 10(7), pages 1-17, July.

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