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肠道微生物谱的改变伴随着异常的短链脂肪酸代谢会加剧非酒精性脂肪性肝病的进展。

Altered gut microbial profile accompanied by abnormal short chain fatty acid metabolism exacerbates nonalcoholic fatty liver disease progression.

机构信息

Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, No. 1800, Lihu Avenue, Binhu District, Wuxi, 214000, China.

Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China.

出版信息

Sci Rep. 2024 Sep 27;14(1):22385. doi: 10.1038/s41598-024-72909-8.

Abstract

Dysregulation of the gut microbiome has associated with the occurrence and progression of non-alcoholic fatty liver disease (NAFLD). To determine the diagnostic capacity of this association, we compared fecal microbiomes across 104 participants including non-NAFLD controls and NAFLD subtypes patients that were distinguished by magnetic resonance imaging. We measured their blood biochemical parameters, 16 S rRNA-based gut microbiota and fecal short-chain fatty acids (SCFAs). Multi-omic analyses revealed that NAFLD patients exhibited specific changes in gut microbiota and fecal SCFAs as compared to non-NAFLD subjects. Four bacterial genera (Faecalibacterium, Subdoligranulum, Haemophilus, and Roseburia) and two fecal SCFAs profiles (acetic acid, and butyric acid) were closely related to NAFLD phenotypes and could accurately distinguish NAFLD patients from healthy non-NAFLD subjects. Twelve genera belonging to Faecalibacterium, Subdoligranulum, Haemophilus, Intestinibacter, Agathobacter, Lachnospiraceae_UCG-004, Roseburia, Butyricicoccus, Actinomycetales_unclassified, [Eubacterium]_ventriosum_group, Rothia, and Rhodococcus were effective to distinguish NAFLD subtypes. Of them, combination of five genera can distinguish effectively mild NAFLD from non-NAFLD with an area under curve (AUC) of 0.84. Seven genera distinguish moderate NAFLD with an AUC of 0.83. Eight genera distinguish severe NAFLD with an AUC of 0.90. In our study, butyric acid distinguished mild-NAFLD from non-NAFLD with AUC value of 0.83. And acetic acid distinguished moderate-NAFLD and severe-NAFLD from non-NAFLD with AUC value of 0.84 and 0.70. In summary, our study and further analysis showed that gut microbiota and fecal SCFAs maybe a method with convenient detection advantages and invasive manner that are not only a good prediction model for early warning of NAFLD occurrence, but also have a strong ability to distinguish NAFLD subtypes.

摘要

肠道微生物组的失调与非酒精性脂肪性肝病(NAFLD)的发生和进展有关。为了确定这种关联的诊断能力,我们比较了 104 名参与者的粪便微生物组,包括非 NAFLD 对照组和通过磁共振成像区分的 NAFLD 亚型患者。我们测量了他们的血液生化参数、16S rRNA 肠道微生物组和粪便短链脂肪酸(SCFAs)。多组学分析显示,与非 NAFLD 受试者相比,NAFLD 患者的肠道微生物组和粪便 SCFAs 表现出特定的变化。四个细菌属(Faecalibacterium、Subdoligranulum、Haemophilus 和 Roseburia)和两种粪便 SCFAs 谱(乙酸和丁酸)与 NAFLD 表型密切相关,可以准确地区分 NAFLD 患者和健康的非 NAFLD 受试者。属于 Faecalibacterium、Subdoligranulum、Haemophilus、Intestinibacter、Agathobacter、Lachnospiraceae_UCG-004、Roseburia、Butyricicoccus、Actinomycetales_unclassified、[Eubacterium]_ventriosum_group、Rothia 和 Rhodococcus 的 12 个属可有效区分 NAFLD 亚型。其中,五个属的组合可以有效地将轻度 NAFLD 与非 NAFLD 区分开来,曲线下面积(AUC)为 0.84。七个属可将中度 NAFLD 与非 NAFLD 区分开来,AUC 值为 0.83。八个属可将重度 NAFLD 与非 NAFLD 区分开来,AUC 值分别为 0.90。在我们的研究中,丁酸区分轻度 NAFLD 与非 NAFLD 的 AUC 值为 0.83。而乙酸则以 AUC 值 0.84 和 0.70 将中度 NAFLD 和重度 NAFLD 与非 NAFLD 区分开来。总之,我们的研究和进一步分析表明,肠道微生物组和粪便 SCFAs 可能是一种具有方便检测优势和非侵入性的方法,不仅是 NAFLD 发生的早期预警的良好预测模型,而且具有很强的区分 NAFLD 亚型的能力。

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