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Probiotic and commensal gut microbial therapies in multiple sclerosis and its animal models: a comprehensive review

机译:多发性硬化和动物模型中的益生菌和共生肠道微生物疗法:全面审查

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摘要

The need for alternative treatments for multiple sclerosis (MS) has triggered copious amounts of research into microbial therapies focused on manipulating the microbiota–gut–brain axis. This comprehensive review was intended to present and systematically evaluate the current clinical and preclinical evidence for various probiotic and commensal gut microbial therapies as treatments for MS, using the Bradford Hill criteria (BHC) as a multi-parameter assessment rubric. Literature searches were performed to identify a total of 37 relevant studies (6 human, 31 animal), including 28 probiotic therapy and 9 commensal therapy studies. In addition to presenting qualitative summaries of these findings, therapeutic evidence for each bacterial formulation was assessed using the BHC to generate summative scores. These scores, which encompassed study quality, replication, and other considerations, were used to rank the most promising therapies and highlight deficiencies. Several therapeutic formulations, including VSL#3, Lactobacillus paracasei, Bifidobacterium animalis, E. coli Nissle 1917, and Prevotella histicola, emerged as the most promising. In contrast, a number of other therapies were hindered by limited evidence of replicable findings and other criteria, which need to be addressed by future studies in order to harness gut microbial therapies to ultimately provide cheaper, safer, and more durable treatments for MS.
机译:对多发性硬化症(MS)的替代治疗需要将大量的研究触发到微生物疗法的微生物疗法上,其重点是操纵微生物血对肠血管轴。这种全面的审查旨在提供和系统地评估各种益生菌和共生肠道微生物疗法的当前临床和临床前依据作为MS的治疗,使用Bradford Hill标准(BHC)作为多参数评估量规。进行文献搜索以确定共37项相关研究(6人,31只动物),包括28例益生菌治疗和9项共谋治疗研究。除了呈现这些发现的定性摘要外,使用BHC评估每种细菌制剂的治疗证据以产生总结分数。这些分数包括学习质量,复制和其他考虑因素,用于对最有前途的疗法进行排名并突出缺陷。几种治疗制剂,包括VSL#3,Lactobacillus Paraca帕拉沙萨氏菌,动物杆菌,动物杆菌,大肠杆菌Nissle 1917和Fvootella Hevotella Hitishola,作为最有前途的。相比之下,通过可复制的发现和其他标准的有限证据阻碍了许多其他疗法,这需要通过未来的研究来解决,以便利用肠道微生物疗法最终为MS提供更便宜,更安全和更耐用的治疗。

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