Establishment of an Individualized Chronotherapy, Autonomic Nervous System, and Variability-Based Dynamic Platform for Overcoming the Loss of Response to Analgesics.


Journal

Pain physician
ISSN: 2150-1149
Titre abrégé: Pain Physician
Pays: United States
ID NLM: 100954394

Informations de publication

Date de publication:
05 2021
Historique:
entrez: 14 5 2021
pubmed: 15 5 2021
medline: 25 11 2021
Statut: ppublish

Résumé

Control of chronic pain and mainly the partial or complete loss of response to analgesics is a major unmet need. Multiple mechanisms underline the development of tolerance to analgesics in general and specifically to opioids. The autonomic nervous system (ANS) plays a role in the development of analgesic tolerance and chronobiology. To review the mechanisms associated with the development of nonresponsiveness to analgesics. Literature review. The review is followed by a description of a new method for overcoming resistance and improving the response to analgesics. Conducted a detailed review of the relevant studies describing the mechanisms that underlie tolerance to pain medications, and the potential roles of the ANS and chronobiology in the development of drug resistance. The autonomic balance is reflected by heart rate variability, an example of a fundamental variability that characterizes biological systems. Chronotherapy, which is based on the circadian rhythm, can improve the efficacy and reduce the toxicity of chronic medications. In this article, we present the establishment of an individualized variability- and chronobiology-based therapy for overcoming the compensatory mechanisms associated with a loss of response to analgesics. We describe the premise of implementing personalized signatures associated with the ANS, and chronobiology, as well as with the pathophysiology of pain for establishing an adaptive model that could improve the efficacy of opioids, in a highly dynamic system. The studies presented were selected based on their relevance to the subject. The described variability-based system may ensure prolonged effects of analgesics while reducing the toxicity associated with increasing dosages.

Sections du résumé

BACKGROUND
Control of chronic pain and mainly the partial or complete loss of response to analgesics is a major unmet need. Multiple mechanisms underline the development of tolerance to analgesics in general and specifically to opioids. The autonomic nervous system (ANS) plays a role in the development of analgesic tolerance and chronobiology.
OBJECTIVES
To review the mechanisms associated with the development of nonresponsiveness to analgesics.
STUDY DESIGN
Literature review.
SETTING
The review is followed by a description of a new method for overcoming resistance and improving the response to analgesics.
METHODS
Conducted a detailed review of the relevant studies describing the mechanisms that underlie tolerance to pain medications, and the potential roles of the ANS and chronobiology in the development of drug resistance.
RESULTS
The autonomic balance is reflected by heart rate variability, an example of a fundamental variability that characterizes biological systems. Chronotherapy, which is based on the circadian rhythm, can improve the efficacy and reduce the toxicity of chronic medications. In this article, we present the establishment of an individualized variability- and chronobiology-based therapy for overcoming the compensatory mechanisms associated with a loss of response to analgesics. We describe the premise of implementing personalized signatures associated with the ANS, and chronobiology, as well as with the pathophysiology of pain for establishing an adaptive model that could improve the efficacy of opioids, in a highly dynamic system.
LIMITATIONS
The studies presented were selected based on their relevance to the subject.
CONCLUSIONS
The described variability-based system may ensure prolonged effects of analgesics while reducing the toxicity associated with increasing dosages.

Identifiants

pubmed: 33988944

Substances chimiques

Analgesics 0
Analgesics, Opioid 0

Banques de données

ClinicalTrials.gov
['NCT03843697', 'NCT03747705']

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

243-252

Auteurs

Henny Azmanov (H)

Department of Medicine, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.

Edgar L Ross (EL)

Pain Management Center, Harvard Medical School, Brigham and Women's Hospital, Chestnut Hill, MA, USA.

Yaron Ilan (Y)

Department of Medicine, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.

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Classifications MeSH