Gut Microbiota as an Objective Measurement for Auxiliary Diagnosis of Insomnia Disorder

Liu, Bingdong; Lin, Win; Chen, Shujie; Xiang, Ting; Yang, Yifan; Yin, Yulong; Xu, Guohuan; Liu, Zhihong; Liu, Li; Pan, Jiyang; Xie, Liwei

doi:10.3389/fmicb.2019.01770

Cited by 77 publications

(70 citation statements)

References 71 publications

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“…Although IL-6 did not change signi cantly in insomnia patients, we still found a correlation between IL-6 and gut bacteria, which is different from the results of Smith et al Bacteroides have been shown to increase signi cantly in the intestines of patients with insomnia 21 . It plays an important role in the gut microbiome and can be used as an important biomarker for identifying insomnia patients.…”

Section: Discussioncontrasting

confidence: 99%

“…The shift in populations of gut microbiota has been associated with various diseases, in this study, we demonstrated that α-and β-diversity of the gut microbiota in insomnia patients is signi cantly altered, which is similar to the result of Liu et al 21 . We found primarily the beta diversity of the gut microbiota in insomniacs is different, alpha diversity rarely varied.…”

Section: Discussionsupporting

confidence: 89%

“…At present, research on the effects of the gut microbiome on the pathogenesis of insomnia is incomplete. Liu et al demonstrated that the composition, diversity and metabolic function of the gut microbiota are signi cantly changed between insomnia patients and healthy controls 21 . But the assessment of metabolic function is only based on PICRUSt function prediction.…”

Section: Discussionmentioning

confidence: 99%

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Correlations of Gut Microbiome, Serum Metabolome and Immune Factors in Insomnia

Man¹,

Chen²,

Wang³

et al. 2020

Preprint

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Insomnia is a common sleep disorder of unclear etiology characterized by individuals experiencing the inability to sleep or the difficulty staying asleep. Gut-brain interaction is being explored with the intent of discerning gut microbiota and its role in many brain-related conditions including insomnia. The number and diversity of gut microbiota that colonize the digestive tract could have a significant association with insomnia, given the microbes that colonize the digestive tract integrate with and impact on the central nervous system, the immune system and multiple metabolic pathways. We aim to examine the diversity and to explore the functional impact of gut microbiota in insomniacs by examining fecal microbiome using 16S rRNA gene sequencing, serum metabolome using ultra-high-performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS), and various immune factors. Our results discover altered and distinct gut microbiota in insomniacs, with enriched Desulfovibrio, Lactobacillus and Streptococcus, and decreased abundance of Bifidobacterium, Gardnerella, Sneathia, Aerococcus and Atopobium. Non-targeted metabolomics identify 31 aberrant metabolites and implicate metabolic pathways in insomniacs. Most importantly, correlations across gut microbiome, serum metabolome and inflammatory factors are unraveled. Our study provides a better understanding of gut microbiota’s role in insomnia and new insights into potential novel etiologies for insomnia.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

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Correlations of Gut Microbiome, Serum Metabolome and Immune Factors in Insomnia

Man¹,

Chen²,

Wang³

et al. 2020

Preprint

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“…Random forest together with cross-validation identified two signature bacteria, which could be used to distinguish insomnia patients from the healthy population (Bactecteroides; Clostridiales). The gut flora interaction networks were significantly altered for patients with insomnia compared with the control group [81]. Smith et al used actigraphy to quantify sleep measures coupled with gut microbiome sampling to determine how the gut microbiome correlates with various measures of sleep physiology.…”

Section: Gut Microbiome Diversity Is Associated With Sleep Physiologymentioning

confidence: 99%

Sleep and Microbiome in Psychiatric Diseases

et al. 2020

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Objectives: Disturbances in the gut–brain barrier play an essential role in the development of mental disorders. There is considerable evidence showing that the gut microbiome not only affects digestive, metabolic and immune functions of the host but also regulates host sleep and mental states through the microbiota–gut–brain axis. The present review summarizes the role of the gut microbiome in the context of circadian rhythms, nutrition and sleep in psychiatric disorders. Methods: A PubMed search (studies published between April 2015–April 2020) was conducted with the keywords: “sleep, microbiome and psychiatry”; “sleep, microbiome and depression”; “sleep, microbiome and bipolar disorder”, “sleep, microbiome and schizophrenia”, “sleep, microbiome and anorexia nervosa”, “sleep, microbiome and substance use disorder”, “sleep, microbiome and anxiety”; “clock gene expression and microbiome”, “clock gene expression and nutrition”. Only studies investigating the relationship between sleep and microbiome in psychiatric patients were included in the review. Results: Search results yielded two cross-sectional studies analyzing sleep and gut microbiome in 154 individuals with bipolar disorder and one interventional study analyzing the effect of fecal microbiota transplantation in 17 individuals with irritable bowel syndrome on sleep. In patients with bipolar disorder, Faecalibacterium was significantly associated with improved sleep quality scores and a significant correlation between Lactobacillus counts and sleep. Conclusion: Translational research on this important field is limited and further investigation of the bidirectional pathways on sleep and the gut microbiome in mood disorders is warranted.

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“…The gut microbiota, despite its complexity and great variation between individuals, was shown to be predictive of various intestinal diseases and conditions, such as irritable bowel syndrome (IBS) [ 3 ], Crohn’s disease [ 4 , 5 ], and colorectal cancer [ 6 ]. Interestingly, the composition of the gut microbiome also predicts some non-intestinal illnesses, such as coronary artery disease [ 7 ], liver fibrosis [ 8 ], metabolic diseases/obesity [ 9 ], insomnia [ 10 ], and bipolar depression [ 11 ]. Another classification setting is the detection of contamination in samples.…”

Section: Introductionmentioning

confidence: 99%

Pet-Human Gut Microbiome Host Classifier Using Data from Different Studies

Bykova¹,

Litovka²,

Popenko³

et al. 2020

Microorganisms

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(1) Background: microbiome host classification can be used to identify sources of contamination in environmental data. However, there is no ready-to-use host classifier. Here, we aimed to build a model that would be able to discriminate between pet and human microbiomes samples. The challenge of the study was to build a classifier using data solely from publicly available studies that normally contain sequencing data for only one type of host. (2) Results: we have developed a random forest model that distinguishes human microbiota from domestic pet microbiota (cats and dogs) with 97% accuracy. In order to prevent overfitting, samples from several (at least four) different projects were necessary. Feature importance analysis revealed that the model relied on several taxa known to be key components in domestic cat and dog microbiomes (such as Fusobacteriaceae and Peptostreptococcaeae), as well as on some taxa exclusively found in humans (as Akkermansiaceae). (3) Conclusion: we have shown that it is possible to make a reliable pet/human gut microbiome classifier on the basis of the data collected from different studies.

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Gut Microbiota as an Objective Measurement for Auxiliary Diagnosis of Insomnia Disorder

Cited by 77 publications

References 71 publications

Correlations of Gut Microbiome, Serum Metabolome and Immune Factors in Insomnia

Correlations of Gut Microbiome, Serum Metabolome and Immune Factors in Insomnia

Sleep and Microbiome in Psychiatric Diseases

Pet-Human Gut Microbiome Host Classifier Using Data from Different Studies

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