The Effect of Fentanyl Abuse on the Gut Microbiota Pattern, Inflammation, and Metabolic Alterations in a Fentanyl Dependance Rat Model.

IF 4.2 3区 医学 Q2 CELL BIOLOGY
Mediators of Inflammation Pub Date : 2025-08-03 eCollection Date: 2025-01-01 DOI:10.1155/mi/6661864
Kianoosh Ferdosnejad, Parvaneh Maghami, Mohammad-Reza Zarrindast, Seyed Davar Siadat
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引用次数: 0

Abstract

Introduction: This study examines the effects of fentanyl misuse on gut microbiota, inflammation, and metabolic pathways using a rat model. As the opioid crisis, driven by synthetic opioids like fentanyl, escalates, identifying new biomarkers, and therapeutic strategies becomes crucial to mitigate its negative impacts and rising overdose cases. Methods: This study was done using species-specific 16S rRNA gene profiling through absolute real-time PCR techniques, alongside relative real-time PCR analysis for inflammatory and metabolic markers and liquid chromatography-mass spectrometry (LC-MS) for metabolite quantification. To visualize the correlations between microbial abundance and inflammatory/metabolic markers, Spearman/Pearson correlation analyses were performed. Results: Fentanyl treatment increased Clostridium sensu stricto (p=0.69) and Bacteroides fragilis (p=0.04), while Faecalibacterium prausnitzii (p=0.14) and Lacticaseibacillus rhamnosus (p=0.14) showed a tendency to decrease. Additionally, fentanyl-treated rats exhibited heightened levels of pro-inflammatory cytokines (IL-1β, p=0.01; TNF-α, p=0.083; IL-6, p=0.17) and increased expression of toll-like receptors (TLR-2, p=0.005; TLR-4, p=0.001), indicating intestinal inflammation. Metabolic pathway analysis revealed significant alterations, including increased BCoAT expression (p  < 0.001) and decreased tph1 expression (p  < 0.001) in fentanyl-treated rats. LC-MS analysis indicated a significant reduction in butyrate levels (45.49 ± 7.82; 73.52 ± 5.4 µM; p  < 0.001), suggesting impaired short-chain fatty acid production and potential gut barrier integrity issues. Tryptophan levels were also significantly lower (14.96 ± 1.3; 22.38 ± 2.1 µM; p  < 0.001), indicating possible disruptions in serotonin synthesis, while deoxycholic acid levels increased (106.1 ± 7.3; 77.35 ± 3.5 µM; p  < 0.001), suggesting altered bile acid metabolism contributing to gut inflammation. Leucine levels (31.8 ± 1.5; 30.67 ± 1.6 µM; p=0.15) remained comparable between groups. Conclusion: This study reveals complex relationships between fentanyl consumption, gut microbiota alterations, gut inflammation, and metabolic functions. The identified changes in specific bacterial species and inflammatory markers suggest a potential mechanism by which fentanyl may exacerbate gut inflammation and disrupt metabolic pathways, highlighting the importance of these dynamics in understanding the microbiota importance and opioid dependance.

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芬太尼滥用对芬太尼依赖大鼠模型中肠道微生物群模式、炎症和代谢改变的影响
本研究通过大鼠模型研究了芬太尼滥用对肠道微生物群、炎症和代谢途径的影响。随着由芬太尼等合成阿片类药物引发的阿片类药物危机升级,确定新的生物标志物和治疗策略对于减轻其负面影响和不断上升的过量病例至关重要。方法:本研究通过绝对实时PCR技术对物种特异性16S rRNA基因进行分析,同时对炎症和代谢标志物进行相对实时PCR分析,并对代谢物进行液相色谱-质谱(LC-MS)定量分析。为了可视化微生物丰度与炎症/代谢标志物之间的相关性,进行了Spearman/Pearson相关分析。结果:芬太尼使严格感梭菌(p=0.69)和脆弱拟杆菌(p=0.04)增加,prausnitfaecalibacterium (p=0.14)和鼠李糖乳杆菌(p=0.14)有减少的趋势。此外,芬太尼处理的大鼠表现出高水平的促炎细胞因子(IL-1β, p=0.01;肿瘤坏死因子-α,p = 0.083;IL-6, p=0.17)和toll样受体(TLR-2, p=0.005;TLR-4, p=0.001),提示肠道炎症。代谢途径分析显示,芬太尼处理大鼠的BCoAT表达增加(p < 0.001), tph1表达减少(p < 0.001)。LC-MS分析显示,丁酸盐水平显著降低(45.49±7.82;73.52±5.4µm;P < 0.001),提示短链脂肪酸生成受损和潜在的肠道屏障完整性问题。色氨酸水平也显著降低(14.96±1.3;22.38±2.1µm;P < 0.001),提示血清素合成可能受到干扰,而去氧胆酸水平升高(106.1±7.3;77.35±3.5µm;P < 0.001),表明胆汁酸代谢的改变有助于肠道炎症。亮氨酸水平(31.8±1.5;30.67±1.6µm;P =0.15)组间具有可比性。结论:本研究揭示了芬太尼摄入、肠道菌群改变、肠道炎症和代谢功能之间的复杂关系。已确定的特定细菌种类和炎症标志物的变化提示芬太尼可能加剧肠道炎症和破坏代谢途径的潜在机制,强调了这些动力学在理解微生物群重要性和阿片类药物依赖性方面的重要性。
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来源期刊
Mediators of Inflammation
Mediators of Inflammation 医学-免疫学
CiteScore
8.70
自引率
0.00%
发文量
202
审稿时长
4 months
期刊介绍: Mediators of Inflammation is a peer-reviewed, Open Access journal that publishes original research and review articles on all types of inflammatory mediators, including cytokines, histamine, bradykinin, prostaglandins, leukotrienes, PAF, biological response modifiers and the family of cell adhesion-promoting molecules.
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