Literature DB >> 31525931

Integrated Non-targeted and Targeted Metabolomics Uncovers Dynamic Metabolic Effects during Short-Term Abstinence in Methamphetamine Self-Administering Rats.

Suji Kim1, Won-Jun Jang1, Hyerim Yu2, In Soo Ryu3, Chul-Ho Jeong1, Sooyeun Lee1.   

Abstract

Persistent neurochemical disturbances by repeating drug reward and withdrawal lead to addiction. Particularly, drug withdrawal, usually starting within hours of the last dose, is considered as a critical step in the transition to addiction and a treatment clue. The aim of this study was to uncover metabolic effects associated with methamphetamine (MA) short-term abstinence using both non-targeted and targeted metabolomics. Metabolic alterations were investigated in rat plasma collected immediately after 16 days of MA self-administration and after 12 and 24 h of abstinence. Principal component analysis revealed that the highest level of separation occurred between the 24 h and saline (control) groups based on the significantly changed ion features, 257/320/333 and 331/409/388, in the SA/12 h/24 h groups in positive and negative modes of UPLC-QTOF-ESI-MS, respectively. Targeted metabolomics revealed dynamic changes in the biosynthesis/metabolism of amino acids, including the phenylalanine, tyrosine, and tryptophan biosynthesis and the valine, leucine, and isoleucine biosynthesis. Integrating non-targeted and targeted metabolomics data uncovered rapid and distinct changes in the metabolic pathways involved in energy metabolism, the nervous system, and membrane lipid metabolism. These findings provide essential knowledge of the dynamic metabolic effects associated with short-term MA abstinence and may help identify early warning signs of MA dependence.

Entities:  

Keywords:  abstinence; amino acids; drug addiction; mass spectrometry; metabolomics; methamphetamine; self-administration; withdrawal

Year:  2019        PMID: 31525931     DOI: 10.1021/acs.jproteome.9b00363

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  7 in total

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2.  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
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Review 3.  Metabolic Alterations Associated with γ-Hydroxybutyric Acid and the Potential of Metabolites as Biomarkers of Its Exposure.

Authors:  Suryun Jung; Suji Kim; Yujin Seo; Sooyeun Lee
Journal:  Metabolites       Date:  2021-02-10

4.  Relationship between amniotic fluid metabolic profile with fetal gender, maternal age, and gestational week.

Authors:  Yahong Li; Yun Sun; Xiaojuan Zhang; Xin Wang; Peiying Yang; Xianwei Guan; Yan Wang; Xiaoyan Zhou; Ping Hu; Tao Jiang; Zhengfeng Xu
Journal:  BMC Pregnancy Childbirth       Date:  2021-09-18       Impact factor: 3.007

5.  Exercise modulates central and peripheral inflammatory responses and ameliorates methamphetamine-induced anxiety-like symptoms in mice.

Authors:  Guo-Fen Re; Hong Li; Ji-Qun Yang; Yue Li; Zunyue Zhang; Xiaocong Wu; Ruiyi Zhou; Deshenyue Kong; Huayou Luo; Yi-Qun Kuang; Kun-Hua Wang
Journal:  Front Mol Neurosci       Date:  2022-08-29       Impact factor: 6.261

6.  Striatal miR-183-5p inhibits methamphetamine-induced locomotion by regulating glucocorticoid receptor signaling.

Authors:  Sang-Hoon Song; Won-Jun Jang; Eun Young Jang; Oc-Hee Kim; Haesoo Kim; Taekwon Son; Dong-Young Choi; Sooyeun Lee; Chul-Ho Jeong
Journal:  Front Pharmacol       Date:  2022-09-26       Impact factor: 5.988

7.  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

  7 in total

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