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肌痛性脑脊髓炎/慢性疲劳综合征患者亚组的粪便宏基因组特征。

Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome.

机构信息

Center for Infection and Immunity, Columbia University Mailman School of Public Health, 722 W 168th Street 17th Floor, New York,, NY, 10032, USA.

Fatigue Consultation Clinic, Salt Lake City, UT, 84102, USA.

出版信息

Microbiome. 2017 Apr 26;5(1):44. doi: 10.1186/s40168-017-0261-y.

Abstract

BACKGROUND

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is characterized by unexplained persistent fatigue, commonly accompanied by cognitive dysfunction, sleeping disturbances, orthostatic intolerance, fever, lymphadenopathy, and irritable bowel syndrome (IBS). The extent to which the gastrointestinal microbiome and peripheral inflammation are associated with ME/CFS remains unclear. We pursued rigorous clinical characterization, fecal bacterial metagenomics, and plasma immune molecule analyses in 50 ME/CFS patients and 50 healthy controls frequency-matched for age, sex, race/ethnicity, geographic site, and season of sampling.

RESULTS

Topological analysis revealed associations between IBS co-morbidity, body mass index, fecal bacterial composition, and bacterial metabolic pathways but not plasma immune molecules. IBS co-morbidity was the strongest driving factor in the separation of topological networks based on bacterial profiles and metabolic pathways. Predictive selection models based on bacterial profiles supported findings from topological analyses indicating that ME/CFS subgroups, defined by IBS status, could be distinguished from control subjects with high predictive accuracy. Bacterial taxa predictive of ME/CFS patients with IBS were distinct from taxa associated with ME/CFS patients without IBS. Increased abundance of unclassified Alistipes and decreased Faecalibacterium emerged as the top biomarkers of ME/CFS with IBS; while increased unclassified Bacteroides abundance and decreased Bacteroides vulgatus were the top biomarkers of ME/CFS without IBS. Despite findings of differences in bacterial taxa and metabolic pathways defining ME/CFS subgroups, decreased metabolic pathways associated with unsaturated fatty acid biosynthesis and increased atrazine degradation pathways were independent of IBS co-morbidity. Increased vitamin B6 biosynthesis/salvage and pyrimidine ribonucleoside degradation were the top metabolic pathways in ME/CFS without IBS as well as in the total ME/CFS cohort. In ME/CFS subgroups, symptom severity measures including pain, fatigue, and reduced motivation were correlated with the abundance of distinct bacterial taxa and metabolic pathways.

CONCLUSIONS

Independent of IBS, ME/CFS is associated with dysbiosis and distinct bacterial metabolic disturbances that may influence disease severity. However, our findings indicate that dysbiotic features that are uniquely ME/CFS-associated may be masked by disturbances arising from the high prevalence of IBS co-morbidity in ME/CFS. These insights may enable more accurate diagnosis and lead to insights that inform the development of specific therapeutic strategies in ME/CFS subgroups.

摘要

背景

肌痛性脑脊髓炎/慢性疲劳综合征(ME/CFS)的特征是不明原因的持续性疲劳,通常伴有认知功能障碍、睡眠障碍、直立不耐受、发热、淋巴结病和肠易激综合征(IBS)。胃肠道微生物组和外周炎症与 ME/CFS 的关联程度尚不清楚。我们对 50 名 ME/CFS 患者和 50 名健康对照者进行了严格的临床特征描述、粪便细菌宏基因组学和血浆免疫分子分析,这些对照者在年龄、性别、种族/民族、地理位置和采样季节方面进行了匹配。

结果

拓扑分析显示,IBS 合并症、体重指数、粪便细菌组成和细菌代谢途径与血浆免疫分子之间存在关联。IBS 合并症是基于细菌谱和代谢途径分离拓扑网络的最强驱动因素。基于细菌谱的预测选择模型支持拓扑分析的结果,表明基于 IBS 状态定义的 ME/CFS 亚组可以用高预测准确性与对照者区分开来。与无 IBS 的 ME/CFS 患者相关的细菌分类群与与有 IBS 的 ME/CFS 患者相关的细菌分类群不同。未分类的 Alistipes 丰度增加和 Faecalibacterium 减少成为有 IBS 的 ME/CFS 的顶级生物标志物;而未分类的 Bacteroides 丰度增加和 Bacteroides vulgatus 减少是无 IBS 的 ME/CFS 的顶级生物标志物。尽管发现了定义 ME/CFS 亚组的细菌分类群和代谢途径存在差异,但与不饱和脂肪酸生物合成和莠去津降解途径相关的代谢途径减少与 IBS 合并症无关。增加的维生素 B6 生物合成/回收和嘧啶核糖核苷降解是无 IBS 的 ME/CFS 以及整个 ME/CFS 队列中的顶级代谢途径。在 ME/CFS 亚组中,包括疼痛、疲劳和动机降低在内的症状严重程度测量值与特定细菌分类群和代谢途径的丰度相关。

结论

独立于 IBS,ME/CFS 与肠道菌群失调和独特的细菌代谢紊乱有关,这些紊乱可能影响疾病的严重程度。然而,我们的研究结果表明,可能会掩盖 ME/CFS 中 IBS 合并症高患病率引起的紊乱特征,这些特征是 ME/CFS 特有的。这些见解可能有助于更准确的诊断,并为 ME/CFS 亚组的特定治疗策略的发展提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8189/5405467/0864d436acdd/40168_2017_261_Fig1_HTML.jpg

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