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Boonchooduang N, Louthrenoo O, Likhitweerawong N, Kunasol C, Thonusin C, Sriwichaiin S, Nawara W, Chattipakorn N, Chattipakorn SC. Impact of psychostimulants on microbiota and short-chain fatty acids alterations in children with attention-deficit/hyperactivity disorder. Sci Rep 2025; 15:3034. [PMID: 39856212 PMCID: PMC11759945 DOI: 10.1038/s41598-025-87546-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Accepted: 01/20/2025] [Indexed: 01/27/2025] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD), a common neurodevelopmental disorder in children, is associated with alterations in gut microbiota and short-chain fatty acids (SCFAs), which are metabolites influencing the gut-brain axis. Evidence suggests that psychostimulant medications, widely used to manage ADHD symptoms, may also impact gut microbiota composition and SCFA levels. This study explores these potential effects by examining gut microbiota profiles and SCFA concentrations in unmedicated and medicated children with ADHD, compared to healthy controls. Fecal samples from 30 children aged 6-12 years (10 unmedicated ADHD, 10 medicated ADHD, and 10 healthy controls) were analyzed using 16 S rRNA sequencing and targeted metabolomics. Unmedicated ADHD children show distinct gut microbiota profiles, with lower level of Tyzzerella, Prevotellaceae, and Coriobacteriaceae, compared to controls. Notably, propionic acid levels were negatively associated with ADHD symptom severity, suggesting a potential biomarker role. Medicated ADHD children showed lower gut microbial diversity, unique taxa, and lower SCFA levels, compared to unmedicated children with ADHD. These findings suggest that gut microbiota and SCFAs may be linked to ADHD symptomatology, underscoring the importance of gut-brain interactions in ADHD. This study highlights the potential of gut health monitoring as part of future ADHD management strategies.
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Affiliation(s)
- Nonglak Boonchooduang
- Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Faculty of Medicine, Chiang Mai University, 50200, Chiang Mai, Thailand
| | - Orawan Louthrenoo
- Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Faculty of Medicine, Chiang Mai University, 50200, Chiang Mai, Thailand
| | - Narueporn Likhitweerawong
- Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Faculty of Medicine, Chiang Mai University, 50200, Chiang Mai, Thailand
| | - Chanon Kunasol
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, 50200, Chiang Mai, Thailand
| | - Chanisa Thonusin
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, 50200, Chiang Mai, Thailand
- Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, 50200, Chiang Mai, Thailand
| | - Sirawit Sriwichaiin
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, 50200, Chiang Mai, Thailand
- Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, 50200, Chiang Mai, Thailand
| | - Wichwara Nawara
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, 50200, Chiang Mai, Thailand
| | - Nipon Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, 50200, Chiang Mai, Thailand
- Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, 50200, Chiang Mai, Thailand
- The Academy of Science, The Royal Society of Thailand, Bangkok, Thailand
| | - Siriporn C Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
- Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, 50200, Chiang Mai, Thailand.
- Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Chiang Mai, 50200, Thailand.
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Law R, Lewis D, Hain D, Daut R, DelBello MP, Frazier JA, Newcorn JH, Nurmi E, Cogan ES, Wagner S, Johnson H, Lanchbury J. Characterisation of seven medications approved for attention-deficit/hyperactivity disorder using in vitro models of hepatic metabolism. Xenobiotica 2022; 52:676-686. [PMID: 36317558 DOI: 10.1080/00498254.2022.2141151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The metabolism of most medications approved for the treatment of attention deficit/hyperactivity disorder (ADHD) is not fully understood.In vitro studies using cryopreserved, plated human hepatocytes (cPHHs) and pooled human liver microsomes (HLMs) were performed to more thoroughly characterise the metabolism of several ADHD medications.The use of enzyme-specific chemical inhibitors indicated a role for CYP2D6 in atomoxetine (ATX) metabolism, and roles for CYP3A4/5 in guanfacine (GUA) metabolism.The 4-hydroxy-atomoxetine and N-desmethyl-atomoxetine pathways represented 98.4% and 1.5% of ATX metabolism in cPHHs, respectively. The 3-OH-guanfacine pathway represented at least 2.6% of GUA metabolism in cPHHs, and 71% in HLMs.The major metabolising enzyme for methylphenidate (MPH) and dexmethylphenidate (dMPH) could not be identified using these methods because these compounds were too unstable. Hydrolysis of these medications was spontaneous and did not require the presence of protein to occur.Clonidine (CLD), amphetamine (AMPH), and dextroamphetamine (dAMPH) did not deplete substantially in cPHHs nor HLMs, suggesting that these compounds may not undergo considerable hepatic metabolism. The major circulating metabolites of AMPH and dAMPH (benzoic acid and hippuric acid) were not observed in either system, and therefore could not be characterised. Additionally, inhibition experiments suggested a very minimal role for CYP2D6 in CLD and AMPH metabolism.
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Affiliation(s)
| | | | | | | | - Melissa P DelBello
- Department of Psychiatry and Behavioral Neuroscience, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Jean A Frazier
- Eunice Kennedy Shriver Center, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | | | - Erika Nurmi
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, USA
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