Differences in Alpha Diversity of Gut Microbiota in Neurological Diseases.
Differences in Alpha Diversity of Gut Microbiota in Neurological Diseases.
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神经系统疾病中肠道微生物群的α多样性差异。
DOI：
10.3389/fnins.2022.879318
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发表时间：
2022
影响因子：
4.3
通讯作者：
Huang, Jiegang
中科院分区：
文献类型：
--
作者：
Li, Zhuoxin;Zhou, Jie;Liang, Hao;Ye, Li;Lan, Liuyan;Lu, Fang;Wang, Qing;Lei, Ting;Yang, Xiping;Cui, Ping;Huang, Jiegang
神经系统疾病难以及时诊断，目前缺乏有效的预测方法。以前的研究表明，各种神经系统疾病会导致肠道微生物区系的变化。α多样性是描述肠道微生物区系多样性的主要指标。目前，神经系统疾病与肠道微生物区系的阿尔法多样性之间的关系尚不清楚。我们对Pubmed和BioProject数据库进行了系统的文献搜索，直到2021年1月。用6个指数来衡量α多样性，包括群落丰富度(观察到的物种，Chao1和ACE)，群落多样性(Shannon，Simpson)和系统发育多样性(PD)。对α多样性指数进行标准化平均差(SMD)的随机效应Meta分析。亚组分析被用来探索研究间异质性的来源。通过将疾病组的年龄、性别和体重指数(BMI)与对照组进行匹配，对文章进行Meta分析。同时，进行亚组分析以控制测序区域、平台、地理区域、仪器和疾病的变异性。计算受试者工作特征(ROC)曲线的曲线下面积(AUC)值以评估微生物α多样性指数的预测有效性。我们对Pubmed和Bioproject数据库中已发表的24项关于肠道微生物区系和神经疾病的16S rRNA基因扩增序列的研究进行了荟萃分析(患者，n=1,469；对照组，n=1,289)。合并估计表明，患者和对照组之间的α多样性没有显著差异(P<；0.05)。阿尔法多样性仅在帕金森氏症患者中减少，而在神经性厌食症患者中与对照组相比增加。在调整了年龄、性别、体重指数和地理区域后，阿尔法多样性与神经疾病无关。在Illumina HiSeq 2000和V3-V5测序区方面，结果表明，与对照相比，Illumina HiSeq 2500的α多样性显著增加，而Illumina HiSeq 2500的α多样性显著降低。ROC曲线提示α多样性可作为预测AD(辛普森，AUC=0.769，P=0.0001)、MS(观察物种，AUC=0.737，P=0.001)、精神分裂症(CHO1，AUC=0.739，P=0.002)的生物标志物。我们的综述总结了肠道微生物区系的α多样性与神经系统疾病之间的关系。肠道微生物区系的阿尔法多样性可能是AD、精神分裂症和多发性硬化症的有希望的预测指标，但不是所有神经疾病的预测指标。
Neurological diseases are difficult to diagnose in time, and there is currently a lack of effective predictive methods. Previous studies have indicated that a variety of neurological diseases cause changes in the gut microbiota. Alpha diversity is a major indicator to describe the diversity of the gut microbiota. At present, the relationship between neurological diseases and the alpha diversity of the gut microbiota remains unclear. We performed a systematic literature search of Pubmed and Bioproject databases up to January 2021. Six indices were used to measure alpha diversity, including community richness (observed species, Chao1 and ACE), community diversity (Shannon, Simpson), and phylogenetic diversity (PD). Random-effects meta-analyses on the standardized mean difference (SMD) were carried out on the alpha diversity indices. Subgroup analyses were performed to explore the sources of interstudy heterogeneity. Meta-analysis was performed on articles by matching the age, sex, and body mass index (BMI) of the disease group with the control group. Meanwhile, subgroup analysis was performed to control the variability of the sequencing region, platform, geographical region, instrument, and diseases. The area under the curve (AUC) value of the receiver operating characteristic (ROC) curve was calculated to assess the prediction effectiveness of the microbial alpha diversity indices. We conducted a meta-analysis of 24 published studies on 16S rRNA gene amplified sequencing of the gut microbiota and neurological diseases from the Pubmed and Bioproject database (patients, n = 1,469; controls, n = 1,289). The pooled estimate demonstrated that there was no significant difference in the alpha diversity between patients and controls (P < 0.05). Alpha diversity decreased only in Parkinson's disease patients, while it increased in anorexia nervosa patients compared to controls. After adjusting for age, sex, BMI, and geographical region, none of the alpha diversity was associated with neurological diseases. In terms of Illumina HiSeq 2000 and the V3-V5 sequencing region, the results showed that alpha diversity increased significantly in comparison with the controls, while decreased in Illumina HiSeq 2500. ROC curves suggested that alpha diversity could be used as a biomarker to predict the AD (Simpson, AUC= 0.769, P = 0.0001), MS (observed species, AUC= 0.737, P = 0.001), schizophrenia (Chao1, AUC = 0.739, P = 0.002). Our review summarized the relationship between alpha diversity of the gut microbiota and neurological diseases. The alpha diversity of gut microbiota could be a promising predictor for AD, schizophrenia, and MS, but not for all neurological diseases.
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影响因子：
2
作者：
Gong D;Gong X;Wang L;Yu X;Dong Q
通讯作者：
Dong Q
DOI：
10.1097/j.pbj.0000000000000059
发表时间：
2020-03
期刊：
Porto biomedical journal
影响因子：
--
作者：
Almeida C;Oliveira R;Soares R;Barata P
通讯作者：
Barata P
影响因子：
4.6
作者：
Annalisa N;Alessio T;Claudette TD;Erald V;Antonino de L;Nicola DD
通讯作者：
Nicola DD
影响因子：
48
作者：
Callahan BJ;McMurdie PJ;Rosen MJ;Han AW;Johnson AJ;Holmes SP
通讯作者：
Holmes SP
影响因子：
5.6
作者：
Averina OV;Zorkina YA;Yunes RA;Kovtun AS;Ushakova VM;Morozova AY;Kostyuk GP;Danilenko VN;Chekhonin VP
通讯作者：
Chekhonin VP