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Li C, Zhu C, Tu G, Chen Z, Mo Z, Luo C. Impact of Altered Gut Microbiota on Ketamine-Induced Conditioned Place Preference in Mice. Neuropsychiatr Dis Treat 2024; 20:1725-1740. [PMID: 39318552 PMCID: PMC11421448 DOI: 10.2147/ndt.s476420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 09/10/2024] [Indexed: 09/26/2024] Open
Abstract
Objects Ketamine is a drug of abuse worldwide and current treatments for ketamine abuse are inadequate. It is an urgent need to develop novel anti-addictive strategy. Since gut microbiota plays a crucial role in drug abuse, the present study investigates the impact and mechanisms of the gut microbiota in addictive behaviors induced by ketamine addiction. Methods Conditioned place preference (CPP) was employed to assess addiction, followed by 16S rRNA gene sequencing to elucidate alterations in the gut microbiota. Furthermore, qRT-PCR, ELISA, and immunohistochemistry were conducted to evaluate the expression levels of crucial genes and proteins associated with the gut-brain axis. Additionally, we investigated whether ketamine addiction is regulated through the gut microbiota by orally administering antibiotics to establish pseudo-germ-free mice. Results We found that repeated ketamine administration (20 mg/kg) induced CPP and significantly altered gut microbiota diversity and composition, as revealed by 16S rRNA gene sequencing. Compared to the control group, ketamine exposure exhibited differences in the relative abundance of 5 microbial families, with 4 (Lachnospiraceae, Ruminococcaceae, Desulfovibrionaceae and Family-XIII) showing increases, while one (Prevotellaceae) displayed a decrease. At the genus level, five genera were upregulated, while one was downregulated. Furthermore, COG analysis revealed significant differences in protein functionality between the two groups. Additionally, axis series studies showed that ketamine dependence reduced levels of tight junction proteins, GABA and GABRA1, while increasing BDNF and 5-HT. Moreover, an oral antibiotic cocktail simulating pseudo germ-free conditions in mice did not enhance the addictive behavior induced by ketamine. Conclusion Our study supports the hypothesis that ketamine-induced CPP is mediated through the gut microbiota. The present study provides new insights into improvement of efficient strategy for addiction treatment.
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Affiliation(s)
- Chan Li
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, People's Republic of China
- School of Life Sciences, Guangzhou University, Guangzhou, People's Republic of China
| | - Chen Zhu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China
| | - Genghong Tu
- Department of Sports Medicine, Guangzhou Sport University, Guangzhou, Guangdong, People's Republic of China
| | - Zhijie Chen
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, People's Republic of China
| | - Zhixian Mo
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, People's Republic of China
- Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, Southern Medical University, Guangzhou, People's Republic of China
| | - Chaohua Luo
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, People's Republic of China
- Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, Southern Medical University, Guangzhou, People's Republic of China
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Xie B, Wang Y, Lu Y, Wang M, Hui R, Yu H, Li W, Zhang L, Yu F, Ni Z, Cong B, Ma C, Wen D. A novel intervention of molecular hydrogen on the unbalance of the gut microbiome in opioid addiction: Experimental and human studies. Biomed Pharmacother 2024; 178:117273. [PMID: 39116782 DOI: 10.1016/j.biopha.2024.117273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 07/04/2024] [Accepted: 08/05/2024] [Indexed: 08/10/2024] Open
Abstract
The gut-brain axis mediates the interaction pathway between microbiota and opioid addiction. In recent years, many studies have shown that molecular hydrogen has therapeutic and preventive effects on various diseases. This study aimed to investigate whether molecular hydrogen could serve as pharmacological intervention agent to reduce risks of reinstatement of opioid seeking and explore the mechanism of gut microbiota base on animal experiments and human studies. Morphine-induced conditioned place preference (CPP) was constructed to establish acquisition, extinction, and reinstatement stage, and the potential impact of H2 on the behaviors related to morphine-induced drug extinction was determined using both free accessible and confined CPP extinction paradigms. The effects of morphine on microbial diversity and composition of microbiota, as well as the subsequent changes after H2 intervention, were assessed using 16 S rRNA gene sequencing. Short-Chain Fatty Acids (SCFAs) in mice serum were detected by gas chromatography-mass spectrometry (GC-MS). Meanwhile, we also conducted molecular hydrogen intervention and gut microbiota testing in opioid-addicted individuals. Our results revealed that molecular hydrogen could enhance the extinction of morphine-related behavior, reducing morphine reinstatement. Gut microbes may be a potential mechanism behind the therapeutic effects of molecular hydrogen on morphine addiction. Additionally, molecular hydrogen improved symptoms of depression and anxiety, as well as gut microbial features, in individuals with opioid addiction. This study supports molecular hydrogen as a novel and effective intervention for morphine-induced addiction and reveals the mechanism of gut microbiota.
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Affiliation(s)
- Bing Xie
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, Hebei Province 050017, PR China
| | - Yong Wang
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, Hebei Province 050017, PR China
| | - Yun Lu
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, Hebei Province 050017, PR China
| | - Mengmeng Wang
- Affiliated Hospital of Hebei University, College of Clinical Medicine, Hebei University, Collaborative Innovation Center of Tumor Microecological Metabolism Regulation, Baoding, Hebei Province 071000, PR China
| | - Rongji Hui
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, Hebei Province 050017, PR China
| | - Hailei Yu
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, Hebei Province 050017, PR China
| | - Wenbo Li
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, Hebei Province 050017, PR China
| | - Ludi Zhang
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, Hebei Province 050017, PR China; Key Laboratory of Neural and Vascular Biology, Ministry of Education, Shijiazhuang, Hebei Province 050017, PR China
| | - Feng Yu
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, Hebei Province 050017, PR China
| | - Zhiyu Ni
- Affiliated Hospital of Hebei University, College of Clinical Medicine, Hebei University, Collaborative Innovation Center of Tumor Microecological Metabolism Regulation, Baoding, Hebei Province 071000, PR China; Clinical Medical College, Hebei University of Engineering, Handan, Hebei Province 056038, PR China
| | - Bin Cong
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, Hebei Province 050017, PR China
| | - Chunling Ma
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, Hebei Province 050017, PR China.
| | - Di Wen
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, Hebei Province 050017, PR China.
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Yunus A, Mokhtar NM, Raja Ali RA, Ahmad Kendong SM, Ahmad HF. Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues. MethodsX 2024; 12:102623. [PMID: 38435637 PMCID: PMC10907193 DOI: 10.1016/j.mex.2024.102623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 02/19/2024] [Indexed: 03/05/2024] Open
Abstract
Colorectal cancer poses a significant threat to global health, necessitating the development of effective early detection techniques. However, the potential of the fungal microbiome as a putative biomarker for the detection of colorectal adenocarcinoma has not been extensively explored. We analyzed the viability of implementing the fungal mycobiome for this purpose. Biopsies were collected from cancer and polyp patients. The total genomic DNA was extracted from the biopsy samples by utilizing a comprehensive kit to ensure optimal microbial DNA recovery. To characterize the composition and diversity of the fungal mycobiome, high-throughput amplicon sequencing targeting the internal transcribed spacer 1 (ITS1) region was proposed. A comparative analysis revealed discrete fungal profiles among the diseased groups. Here, we also proposed pipelines based on a predictive model using statistical and machine learning algorithms to accurately differentiate colorectal adenocarcinoma and polyp patients from normal individuals. These findings suggest the utility of gut mycobiome as biomarkers for the detection of colorectal adenocarcinoma. Expanding our understanding of the role of the gut mycobiome in disease detection creates novel opportunities for early intervention and personalized therapeutic strategies for colorectal cancer.•Detailed method to identify the gut mycobiome in colorectal cancer patients using ITS-specific amplicon sequencing.•Application of machine learning algorithms to the identification of potential mycobiome biomarkers for non-invasive colorectal cancer screening.•Contribution to the advancement of innovative colorectal cancer diagnostic methods and targeted therapies by applying gut mycobiome knowledge.
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Affiliation(s)
- Aisyah Yunus
- Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia
| | - Norfilza Mohd Mokhtar
- Department of Physiology, Faculty of Medicine, Universiti Kebangsaan Malaysia (UKM), 56000 Kuala Lumpur, Malaysia
- Gut Research Group, Faculty of Medicine, Universiti Kebangsaan Malaysia, 56000 Kuala Lumpur, Malaysia
| | - Raja Affendi Raja Ali
- Gut Research Group, Faculty of Medicine, Universiti Kebangsaan Malaysia, 56000 Kuala Lumpur, Malaysia
- School of Medical and Life Sciences, Sunway University, 47500 Subang Jaya, Selangor, Malaysia
| | - Siti Maryam Ahmad Kendong
- Department of Physiology, Faculty of Medicine, Universiti Kebangsaan Malaysia (UKM), 56000 Kuala Lumpur, Malaysia
- Department of Basic Medical Sciences, Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
| | - Hajar Fauzan Ahmad
- Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia
- Gut Research Group, Faculty of Medicine, Universiti Kebangsaan Malaysia, 56000 Kuala Lumpur, Malaysia
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Liu W, Liu L, Deng Z, Liu R, Ma T, Xin Y, Xie Y, Zhou Y, Tang Y. Associations between impulsivity and fecal microbiota in individuals abstaining from methamphetamine. CNS Neurosci Ther 2024; 30:e14580. [PMID: 38421126 PMCID: PMC10851322 DOI: 10.1111/cns.14580] [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: 08/10/2023] [Revised: 12/13/2023] [Accepted: 12/15/2023] [Indexed: 03/02/2024] Open
Abstract
INTRODUCTION Methamphetamine (MA) abuse is a major public problem, and impulsivity is both a prominent risk factor and a consequence of addiction. Hence, clarifying the biological mechanism of impulsivity may facilitate the understanding of addiction to MA. The microbiota-gut-brain axis was suggested to underlie a biological mechanism of impulsivity induced by MA. METHODS We therefore recruited 62 MA addicts and 50 healthy controls (HCs) to investigate the alterations in impulsivity and fecal microbiota and the associations between them in the MA group. Thereafter, 25 MA abusers who abstained from MA for less than 3 months were followed up for 2 months to investigate the relationship between impulsivity and microbiota as abstinence became longer. 16S rRNA sequencing was conducted for microbiota identification. RESULTS Elevated impulsivity and dysbiosis characterized by an increase in opportunistic pathogens and a decrease in probiotics were identified in MA abusers, and both the increased impulsivity and disrupted microbiota tended to recover after longer abstinence from MA. Impulsivity was related to microbiota, and the effect of MA abuse on impulsivity was mediated by microbiota. CONCLUSION Our findings potentially highlighted the importance of abstention and implicated the significant role of the microbiota-gut-brain axis in the interrelationship between microbiota and behaviors, as well as the potential of microbiota as a target for intervention of impulsivity.
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Affiliation(s)
- Wen Liu
- Department of PsychiatryThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Linzi Liu
- Department of PsychiatryThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Zijing Deng
- Department of PsychiatryThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Ruina Liu
- Department of PsychiatryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShanxiPR China
| | - Tao Ma
- Department of PsychiatryThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Yide Xin
- Department of PsychiatryThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Yu Xie
- Department of PsychiatryThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Yifang Zhou
- Department of PsychiatryThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Yanqing Tang
- Department of PsychiatryShengjing Hospital of China Medical UniversityShenyangLiaoningPR China
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Wu Z, Guo Y, Hayakawa M, Yang W, Lu Y, Ma J, Li L, Li C, Liu Y, Niu J. Artificial intelligence-driven microbiome data analysis for estimation of postmortem interval and crime location. Front Microbiol 2024; 15:1334703. [PMID: 38314433 PMCID: PMC10834752 DOI: 10.3389/fmicb.2024.1334703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/08/2024] [Indexed: 02/06/2024] Open
Abstract
Microbial communities, demonstrating dynamic changes in cadavers and the surroundings, provide invaluable insights for forensic investigations. Conventional methodologies for microbiome sequencing data analysis face obstacles due to subjectivity and inefficiency. Artificial Intelligence (AI) presents an efficient and accurate tool, with the ability to autonomously process and analyze high-throughput data, and assimilate multi-omics data, encompassing metagenomics, transcriptomics, and proteomics. This facilitates accurate and efficient estimation of the postmortem interval (PMI), detection of crime location, and elucidation of microbial functionalities. This review presents an overview of microorganisms from cadavers and crime scenes, emphasizes the importance of microbiome, and summarizes the application of AI in high-throughput microbiome data processing in forensic microbiology.
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Affiliation(s)
- Ze Wu
- Department of Dermatology, General Hospital of Northern Theater Command, Shenyang, China
| | - Yaoxing Guo
- Department of Dermatology, The First Hospital of China Medical University, Shenyang, China
- Key Laboratory of Immunodermatology, Ministry of Education and NHC, Shenyang, China
- National Joint Engineering Research Center for Theranostics of Immunological Skin Diseases, Shenyang, China
| | - Miren Hayakawa
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Wei Yang
- Department of Dermatology, General Hospital of Northern Theater Command, Shenyang, China
| | - Yansong Lu
- Department of Dermatology, General Hospital of Northern Theater Command, Shenyang, China
| | - Jingyi Ma
- Department of Dermatology, General Hospital of Northern Theater Command, Shenyang, China
| | - Linghui Li
- Department of Dermatology, General Hospital of Northern Theater Command, Shenyang, China
| | - Chuntao Li
- Department of Dermatology, General Hospital of Northern Theater Command, Shenyang, China
| | - Yingchun Liu
- Department of Dermatology, General Hospital of Northern Theater Command, Shenyang, China
| | - Jun Niu
- Department of Dermatology, General Hospital of Northern Theater Command, Shenyang, China
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