Wei Feng, Liang Diefei, Qiu Junxiong, Fu Yuan, Zeng Zhaopei, Zhang Jiarui, Zhang Xinyi, Lin Jianwei, Zheng Junmeng, Lin Liling
Department of Cardiovascular Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China.
Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China.
J Med Microbiol. 2025 Jun;74(6). doi: 10.1099/jmm.0.002028.
The relationship between analgesic use and gut microbiota alterations has garnered increasing attention. However, the causal link between these two factors remains to be elucidated. Given the prevalence of analgesic use and the significant role of gut microbiota in human health, clarifying this relationship is of great importance. Existing observational studies are limited in their ability to establish causality between analgesic use and gut microbiota alterations. Therefore, there is a need for robust causal inference methods to explore this relationship and uncover the underlying mechanisms. This study aims to investigate the causal associations between genetic susceptibility to four common analgesics (NSAIDs, salicylic acid, opioids, and anilides) and gut microbiota composition, as well as circulating metabolites, using a two-sample Mendelian randomization approach. A two-sample Mendelian randomization was used to investigate the potential association between genetic susceptibility to four analgesic uses and gut microbiota composition, as well as circulating metabolites. Summary-level statistics of genome-wide association studies were obtained from primarily European ancestry cohorts, including 466,457 participants from the UK Biobank and 18,340 individuals from the MiBioGen consortium. Only one suggestive causal association was found between NSAID use and elevated abundance of gut microbiota, namely group . In addition, salicylic use was correlated with an increased abundance of the family (=0.006) while it was negatively associated with the abundance of 8 microbiota traits, including genus , , , family , , phylum , class and order with value ranging from 0.009 to 0.043. No clear evidence was found between opioid and anilide use and gut microbiota alteration. Meanwhile, salicylic use was potentially causally associated with four metabolites, including acetoacetate, creatinine, omega-3 fatty acids and triglycerides in very large high-density lipoprotein, with values ranging from 0.005 to 0.046. The results of this study offer powerful evidence that the long-term use of salicylic acid may substantially impact gut microbiota composition and circulating metabolites. Further investigations are needed to uncover the underlying mechanisms.
镇痛药使用与肠道微生物群改变之间的关系已受到越来越多的关注。然而,这两个因素之间的因果联系仍有待阐明。鉴于镇痛药使用的普遍性以及肠道微生物群在人类健康中的重要作用,阐明这种关系至关重要。现有的观察性研究在确定镇痛药使用与肠道微生物群改变之间的因果关系方面能力有限。因此,需要强大的因果推断方法来探索这种关系并揭示潜在机制。本研究旨在使用两样本孟德尔随机化方法,研究对四种常见镇痛药(非甾体抗炎药、水杨酸、阿片类药物和酰苯胺)的遗传易感性与肠道微生物群组成以及循环代谢物之间的因果关联。采用两样本孟德尔随机化方法研究对四种镇痛药使用的遗传易感性与肠道微生物群组成以及循环代谢物之间的潜在关联。全基因组关联研究的汇总统计数据主要来自欧洲血统队列,包括英国生物银行的466457名参与者和微生物组全基因组关联研究联盟的18340名个体。在非甾体抗炎药使用与肠道微生物群丰度升高之间仅发现一个提示性因果关联,即组。此外,水杨酸使用与科丰度增加相关(=0.006),而与8种微生物特征的丰度呈负相关,包括属、、、科、、门、纲和目,值范围为0.009至0.043。在阿片类药物和酰苯胺使用与肠道微生物群改变之间未发现明确证据。同时,水杨酸使用可能与四种代谢物因果相关,包括乙酰乙酸、肌酐、ω-3脂肪酸和超大高密度脂蛋白中的甘油三酯,值范围为0.005至0.046。本研究结果提供了有力证据,表明长期使用水杨酸可能会对肠道微生物群组成和循环代谢物产生重大影响。需要进一步研究以揭示潜在机制。