Literature DB >> 29397321

Using Metabolomics to Investigate Biomarkers of Drug Addiction.

Reza Ghanbari1, Susan Sumner2.   

Abstract

Drug addiction has been associated with an increased risk for cancer, psychological complications, heart, liver, and lung disease, as well as infection. While genes have been identified that can mark individuals at risk for substance abuse, the initiation step of addiction is attributed to persistent metabolic disruptions occurring following the first instance of narcotic drug use. Advances in analytical technologies can enable the detection of thousands of signals in body fluids and excreta that can be used to define biochemical profiles of addiction. Today, these approaches hold promise for determining how exposure to drugs, in the absence or presence of other environmentally relevant factors, can impact human metabolism. We posit that these can lead to candidate biomarkers of drug dependence, treatment, withdrawal, or relapse.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Substance abuse; biomarkers; drug abuse; metabolomics; opioid addiction

Mesh:

Substances:

Year:  2018        PMID: 29397321     DOI: 10.1016/j.molmed.2017.12.005

Source DB:  PubMed          Journal:  Trends Mol Med        ISSN: 1471-4914            Impact factor:   11.951


  9 in total

1.  Analysis of neurotransmitter levels in addiction-related brain regions during synthetic cathinone self-administration in male Sprague-Dawley rats.

Authors:  Julie A Marusich; Elaine A Gay; Bruce E Blough
Journal:  Psychopharmacology (Berl)       Date:  2018-09-06       Impact factor: 4.530

2.  Opioid use disorder research and the Council for the Advancement of Nursing Science priority areas.

Authors:  Patricia Eckardt; Donald Bailey; Holli A DeVon; Cynthia Dougherty; Pamela Ginex; Cheryl A Krause-Parello; Rita H Pickler; Therese S Richmond; Eleanor Rivera; Carol F Roye; Nancy Redeker
Journal:  Nurs Outlook       Date:  2020-04-09       Impact factor: 3.250

3.  Mass spectrometry-based metabolomics in hair from current and former patients with methamphetamine use disorder.

Authors:  Min Jae Seo; Sang-Hoon Song; Suji Kim; Won Jun Jang; Chul-Ho Jeong; Sooyeun Lee
Journal:  Arch Pharm Res       Date:  2021-11-06       Impact factor: 4.946

Review 4.  Prenatal opioid exposure and vulnerability to future substance use disorders in offspring.

Authors:  Yaa Abu; Sabita Roy
Journal:  Exp Neurol       Date:  2021-01-29       Impact factor: 5.330

5.  Influence of Storage Conditions and Preservatives on Metabolite Fingerprints in Urine.

Authors:  Xinchen Wang; Haiwei Gu; Susana A Palma-Duran; Andres Fierro; Paniz Jasbi; Xiaojian Shi; William Bresette; Natasha Tasevska
Journal:  Metabolites       Date:  2019-09-27

6.  Untargeted Metabolomics: Biochemical Perturbations in Golestan Cohort Study Opium Users Inform Intervention Strategies.

Authors:  Yuan-Yuan Li; Reza Ghanbari; Wimal Pathmasiri; Susan McRitchie; Hossein Poustchi; Amaneh Shayanrad; Gholamreza Roshandel; Arash Etemadi; Jonathan D Pollock; Reza Malekzadeh; Susan C J Sumner
Journal:  Front Nutr       Date:  2020-12-22

7.  Exercise Regulates the Metabolic Homeostasis of Methamphetamine Dependence.

Authors:  Xue Li; Kefeng Li; Zhicheng Zhu; Yu Jin; Zhanle Gao; Jisheng Xu; Li Zhang
Journal:  Metabolites       Date:  2022-06-29

Review 8.  Current Understanding of Methamphetamine-Associated Metabolic Changes Revealed by the Metabolomics Approach.

Authors:  Minjeong Kim; Won-Jun Jang; Rupa Shakya; Boyeon Choi; Chul-Ho Jeong; Sooyeun Lee
Journal:  Metabolites       Date:  2019-09-20

9.  Revealing Metabolic Perturbation Following Heavy Methamphetamine Abuse by Human Hair Metabolomics and Network Analysis.

Authors:  Suji Kim; Won-Jun Jang; Hyerim Yu; Jihyun Kim; Sang-Ki Lee; Chul-Ho Jeong; Sooyeun Lee
Journal:  Int J Mol Sci       Date:  2020-08-21       Impact factor: 5.923

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.