Alterations in the oral microbiome and metabolome of methamphetamine addicts

Author:

Wang Dawei1,Feng Yu1,Yang Min2,Sun Haihui3,Zhang Qingchen4,Wang Rongrong5,Tong Shuqing6,Su Rui6,Jin Yan6,Wang Yunshan6,Lu Zhiming6,Han Lihui2,Sun Yundong7

Affiliation:

1. Department of Orthopedic, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

2. Shandong Provincial Key Laboratory of Infection and Immunology, Department of Immunology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.

3. Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

4. Department of Orthopedics, Central hospital affiliated to Shandong First Medical University, Jinan, China.

5. Department of Clinical Laboratory, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.

6. Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

7. Department of Microbiology, Key Laboratory for Experimental Teratology of Ministry of Education, School of Basic Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.

Abstract

Abstract Background: Drug addiction can seriously damage human physical and mental health, while detoxification is a long and difficult process. Although studies have reported changes in the oral microbiome of methamphetamine (METH) addicts, the role of the microbiome plays in this process is still unknown. This study aims to explore the function of the microbiome based on analysis of the variations in the oral microbiome and metabolome of METH addicts. Results: We performed the 16S rRNA sequencing analysis based on the oral saliva samples collected from 278 METH addicts and 105 healthy controls (CTL) undergoing detoxification at the detoxification center in Shandong, China. In addition, the untargeted metabolomic profiling was conducted based on 220 samples (170 METH addicts and 50 CTL) to identify the biomarkers and build classifiers for both oral microbiota and metabolites. Compared to the CTL group, alpha diversity was reduced in the group of METH addicts, with significant differences in the microbiota and changes in oral metabolic pathways, including enhanced tryptophan metabolism, lysine biosynthesis, purine metabolism, and steroid biosynthesis. Conversely, the metabolic pathways of porphyrin metabolism, glutathione metabolism, and pentose phosphate were significantly reduced. It was speculated that four key microbial taxa, i.e., Peptostreptococcus, Gemella, Campylobacter, and Aggregatibacter, could be involved in the toxicity and addiction mechanisms of METH by affecting the above metabolic pathways. In addition, microbial prediction models were more effective than metabolite-based prediction models in identifying METH addiction. Conclusions: Our study identified the potential functional connections between the oral microbiome and metabolic profile of METH addicts, providing novel insights into exploring the toxic damage and addiction mechanisms underlying the METH addiction.

Publisher

Research Square Platform LLC

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