Literature DB >> 34374961

Sex-Specific Pharmacotherapy for Back Pain: A Proof-of-Concept Randomized Trial.

Diane Reckziegel1,2, Pascal Tétreault2, Mariam Ghantous2, Kenta Wakaizumi1,3, Bogdan Petre2, Lejian Huang1,2, Rami Jabakhanji1,2,3, Taha Abdullah2, Etienne Vachon-Presseau2, Sara Berger2, Alexis Baria2, James W Griffith1,4, Marwan N Baliki1,3, Thomas J Schnitzer1,5,6, A Vania Apkarian7,8,9,10,11.   

Abstract

BACKGROUND: Preventing transition to chronic back pain (CBP) is a long-sought strategy that could rescue patients from prolonged suffering. Recent rodent and human brain imaging studies suggest involvement of sexually dimorphic, dopaminergic-motivational, mesolimbic circuits in the transition to chronic pain (tCBP), and hint that the combination of carbidopa/levodopa and naproxen (LDP + NPX) may block tCBP. Here we evaluated, in people with recent-onset back pain, whether a 3-month treatment with LDP + NPX is safe, blocks tCBP, and whether its efficacy is sex-dependent.
METHODS: A total of 72 participants were enrolled and stratified by risk for tCBP using brain-imaging biomarkers. Low-risk participants entered a no-treatment arm. Others were randomized to placebo + naproxen or LDP + NPX for 3 months.
RESULTS: Both treatments resulted in more than 50% pain relief for approximately 75% of participants. A strong sex by treatment interaction was observed for daily pain intensity (phone NRS, P = 0.007), replicated on 4-week average pain (Pain/4w, P = 0.00001), and in intent-to-treat analysis (Pain/4w, P = 0.000004). Nucleus accumbens functional connectivity with medial prefrontal cortex, a predefined objective biomarker, showed sex dependence at baseline (P = 0.03) and sex-by-treatment interaction effect 3 months after treatment cessation (P = 0.031). Treatment modified the psychological profile of participants, and disrupted brain modeling-based predicted back pain intensity trajectories. Forty participants were queried 3.3 years from trial start; back pain ratings were similar between end of treatment and at 3.3 years (P = 0.62), indicating persistence of relief for this duration.
CONCLUSIONS: These results provide the first evidence for preventing transition to chronic back pain using sex-specific pharmacotherapy. These provocative observations require confirmation in a larger study. ClinicalTrials.gov identifier: NCT01951105.
© 2021. The Author(s).

Entities:  

Keywords:  Brain imaging; Chronic pain; Dopamine; Naproxen; Prevention

Year:  2021        PMID: 34374961     DOI: 10.1007/s40122-021-00297-2

Source DB:  PubMed          Journal:  Pain Ther


  27 in total

1.  The cortical rhythms of chronic back pain.

Authors:  Marwan N Baliki; Alex T Baria; A Vania Apkarian
Journal:  J Neurosci       Date:  2011-09-28       Impact factor: 6.167

Review 2.  Measuring the global burden of disease.

Authors:  Christopher J L Murray; Alan D Lopez
Journal:  N Engl J Med       Date:  2013-08-01       Impact factor: 91.245

3.  Changing dynamics of the drug overdose epidemic in the United States from 1979 through 2016.

Authors:  Hawre Jalal; Jeanine M Buchanich; Mark S Roberts; Lauren C Balmert; Kun Zhang; Donald S Burke
Journal:  Science       Date:  2018-09-21       Impact factor: 47.728

4.  Corticolimbic anatomical characteristics predetermine risk for chronic pain.

Authors:  Etienne Vachon-Presseau; Pascal Tétreault; Bogdan Petre; Lejian Huang; Sara E Berger; Souraya Torbey; Alexis T Baria; Ali R Mansour; Javeria A Hashmi; James W Griffith; Erika Comasco; Thomas J Schnitzer; Marwan N Baliki; A Vania Apkarian
Journal:  Brain       Date:  2016-05-05       Impact factor: 13.501

Review 5.  The Emotional Brain as a Predictor and Amplifier of Chronic Pain.

Authors:  E Vachon-Presseau; M V Centeno; W Ren; S E Berger; P Tétreault; M Ghantous; A Baria; M Farmer; M N Baliki; T J Schnitzer; A V Apkarian
Journal:  J Dent Res       Date:  2016-03-10       Impact factor: 6.116

6.  Brain white matter structural properties predict transition to chronic pain.

Authors:  Ali R Mansour; Marwan N Baliki; Lejian Huang; Souraya Torbey; Kristi M Herrmann; Thomas J Schnitzer; A Vania Apkarian
Journal:  Pain       Date:  2013-10       Impact factor: 6.961

7.  Corticostriatal functional connectivity predicts transition to chronic back pain.

Authors:  Marwan N Baliki; Bogdan Petre; Souraya Torbey; Kristina M Herrmann; Lejian Huang; Thomas J Schnitzer; Howard L Fields; A Vania Apkarian
Journal:  Nat Neurosci       Date:  2012-07-01       Impact factor: 24.884

8.  Functional reorganization of the default mode network across chronic pain conditions.

Authors:  Marwan N Baliki; Ali R Mansour; Alex T Baria; A Vania Apkarian
Journal:  PLoS One       Date:  2014-09-02       Impact factor: 3.240

9.  Prognosis for patients with chronic low back pain: inception cohort study.

Authors:  Luciola da C Menezes Costa; Christopher G Maher; James H McAuley; Mark J Hancock; Robert D Herbert; Kathryn M Refshauge; Nicholas Henschke
Journal:  BMJ       Date:  2009-10-06

10.  Classification and characterisation of brain network changes in chronic back pain: A multicenter study.

Authors:  Hiroaki Mano; Gopal Kotecha; Kenji Leibnitz; Takashi Matsubara; Christian Sprenger; Aya Nakae; Nicholas Shenker; Masahiko Shibata; Valerie Voon; Wako Yoshida; Michael Lee; Toshio Yanagida; Mitsuo Kawato; Maria Joao Rosa; Ben Seymour
Journal:  Wellcome Open Res       Date:  2018-10-10
View more
  6 in total

Review 1.  Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches.

Authors:  Sara E Berger; Alexis T Baria
Journal:  Front Pain Res (Lausanne)       Date:  2022-06-02

2.  The Necessity of Methodological Advances in Pain Research: Challenges and Opportunities.

Authors:  Apkar Vania Apkarian
Journal:  Front Pain Res (Lausanne)       Date:  2021-05-26

3.  What Is the Numerical Nature of Pain Relief?

Authors:  Andrew D Vigotsky; Siddharth R Tiwari; James W Griffith; A Vania Apkarian
Journal:  Front Pain Res (Lausanne)       Date:  2021-11-02

4.  Corticostriatal circuits in the transition to chronic back pain: The predictive role of reward learning.

Authors:  Martin Löffler; Seth M Levine; Katrin Usai; Simon Desch; Mina Kandić; Frauke Nees; Herta Flor
Journal:  Cell Rep Med       Date:  2022-07-06

5.  Reward learning in the development and maintenance of chronic back pain.

Authors:  Li-Bo Zhang; Li Hu
Journal:  Cell Rep Med       Date:  2022-07-19

Review 6.  Brain Imaging Biomarkers for Chronic Pain.

Authors:  Zhengwu Zhang; Jennifer S Gewandter; Paul Geha
Journal:  Front Neurol       Date:  2022-01-03       Impact factor: 4.003

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.