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Sall I, Foxall R, Felth L, Maret S, Rosa Z, Gaur A, Calawa J, Pavlik N, Whistler JL, Whistler CA. Gut dysbiosis was inevitable, but tolerance was not: temporal responses of the murine microbiota that maintain its capacity for butyrate production correlate with sustained antinociception to chronic voluntary morphine. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.15.589671. [PMID: 38659831 PMCID: PMC11042308 DOI: 10.1101/2024.04.15.589671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
The therapeutic benefits of opioids are compromised by the development of analgesic tolerance, which necessitates higher dosing for pain management thereby increasing the liability for dependence and addiction. Rodent models indicate opposing roles of the gut microbiota in tolerance: morphine-induced gut dysbiosis exacerbates tolerance, whereas probiotics ameliorate tolerance. Not all individuals develop tolerance which could be influenced by differences in microbiota, and yet no study has capitalized upon this natural variation to identify specific features linked to tolerance. We leveraged this natural variation in a murine model of voluntary oral morphine self-administration to elucidate the mechanisms by which microbiota influences tolerance. Although all mice shared similar and predictive morphine-driven microbiota changes that largely masked informative associations with variability in tolerance, our high-resolution temporal analyses revealed a divergence in the progression of dysbiosis that best explained differences in the development in tolerance. Mice that did not develop tolerance also maintained a higher abundance of taxa capable of producing the short-chain fatty acid (SCFA) butyrate, known to bolster intestinal barriers, suppress inflammation, and promote neuronal homeostasis. Furthermore, dietary butyrate supplementation significantly reduced the development of tolerance. These findings could inform immediate therapies to extend the analgesic efficacy of opioids.
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Affiliation(s)
- Izabella Sall
- Department of Molecular, Cellular, & Biomedical Sciences, University of New Hampshire, Durham, NH, USA
- Graduate program in Molecular and Evolutionary Systems Biology, University of New Hampshire, Durham, NH, USA
| | - Randi Foxall
- Department of Molecular, Cellular, & Biomedical Sciences, University of New Hampshire, Durham, NH, USA
| | - Lindsey Felth
- Center for Neuroscience, University of California–Davis, Davis, CA, USA
| | - Soren Maret
- Department of Molecular, Cellular, & Biomedical Sciences, University of New Hampshire, Durham, NH, USA
| | - Zachary Rosa
- Center for Neuroscience, University of California–Davis, Davis, CA, USA
| | - Anirudh Gaur
- Center for Neuroscience, University of California–Davis, Davis, CA, USA
| | - Jennifer Calawa
- Department of Molecular, Cellular, & Biomedical Sciences, University of New Hampshire, Durham, NH, USA
- Microbiology Graduate Program, University of New Hampshire, Durham, NH, USA
| | - Nadia Pavlik
- Department of Molecular, Cellular, & Biomedical Sciences, University of New Hampshire, Durham, NH, USA
| | - Jennifer L. Whistler
- Center for Neuroscience, University of California–Davis, Davis, CA, USA
- Department of Physiology and Membrane Biology, UC Davis School of Medicine, Davis, CA, USA
| | - Cheryl A. Whistler
- Department of Molecular, Cellular, & Biomedical Sciences, University of New Hampshire, Durham, NH, USA
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Lin L, Lin J, Qiu J, Wei F, Bai X, Ma W, Zeng J, Lin D. Gut microbiota alterations may increase the risk of prescription opioid use, but not vice versa: A two-sample bi-directional Mendelian randomization study. Front Microbiol 2022; 13:994170. [PMID: 36483210 PMCID: PMC9722965 DOI: 10.3389/fmicb.2022.994170] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/01/2022] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Gut microbiota alterations are strongly associated with prescription opioid use (POU) and multisite chronic pain (MCP). However, whether or not these associations are causal remains unknown. Therefore, we aim to explore the causal relationships between them comprehensively. METHODS A two-sample bi-directional Mendelian randomization was conducted to assess the potential associations between gut microbiota and POU/MCP using summary level Genome-wide association studies (GWASs) that were based on predominantly European ancestry. RESULTS Potential causal effects were identified between seven host genetic-driven traits of gut microbiota on POU, including Adlercreutzia, Allisonella, Dialister, Anaerofilum, Anaerostipes, ChristensenellaceaeR.7group, and LachnospiraceaeNC2004group at the genus level (p < 0.05) by the Inverse-variance weighted method, with significant causal effects of ChristensenellaceaeR.7group and Allisonella on POU (p < 0.025). A total of five genetically greater abundance of gut microbiota traits were identified to be possibly related to the level of MCP (p < 0.05), including genus ErysipelotrichaceaeUCG003, family Clostridiaceae1, order Gastranaerophilales, order Actinomycetales, and family Actinomycetaceae. In the other direction, no clear evidence was found to support a significant causal relationship between POU and gut microbiota, as well as MCP and gut microbiota. In addition, evidence was also provided for the relationship between triacylglycerols and diacylglycerol elevation, and an increased risk of POU and MCP. No evidence was found across various sensitivity analyses, including reverse causality, pleiotropy, and heterogeneity. CONCLUSION The findings from this study provide robust evidence that gut microbiota alterations may be a risk of POU/MCP, but not vice versa.
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Affiliation(s)
- Liling Lin
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jianwei Lin
- Big Data Laboratory, Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Junxiong Qiu
- Department of Cardiovascular Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Feng Wei
- Department of Cardiovascular Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiaohui Bai
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Weiying Ma
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jingxian Zeng
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Daowei Lin
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
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