The gut microbiota-inflammation-brain axis in end-stage renal disease: perspectives from default mode network

Wang, Yun Fei; Zheng, Li Juan; Liu, Ya; Ye, Yu Bing; Luo, Song; Lu, Guang Ming; Gong, Dehua; Zhang, Long Jiang

doi:10.7150/thno.35387

Cited by 42 publications

(30 citation statements)

References 54 publications

(50 reference statements)

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“…Our study observed that the change in gut microbiota in patients with ESRD, which was consistent with many literatures ( Wang et al., 2019 ; Hu et al., 2020b ). Besides, gut microbiota was correlated with the clinical indicators of patients, suggesting disease complications and gut microflora dysbiosis may influence each other.…”

Section: Discussionsupporting

confidence: 93%

The Effects of Hemodialysis and Peritoneal Dialysis on the Gut Microbiota of End-Stage Renal Disease Patients, and the Relationship Between Gut Microbiota and Patient Prognoses

Luo

Zhao

et al. 2021

Front. Cell. Infect. Microbiol.

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Gut microbiota alterations occur in end-stage renal disease (ESRD) patients with or without dialysis. However, it remains unclear whether changes in gut microbiota of dialysis ESRD patients result from dialysis or ESRD, or both. Similarly, there is a dearth of information on the relationship between gut microbiota and ESRD prognoses. We collected fecal samples and tracked clinical outcomes from 73 ESRD patients, including 33 pre-dialysis ESRD patients, 19 peritoneal dialysis (PD) patients, and 21 hemodialysis (HD) patients. 16S rRNA sequencing and bioinformatics tools were used to analyze the gut microbiota of ESRD patients and healthy controls. Gut microbiota diversity was different before and after dialysis. Bacteroidetes were significantly deceased in HD patients. Twelve bacterial genera exhibited statistically significant differences, due to dialysis (all P < 0.05, FDR corrected). HD reversed abnormal changes in Oscillospira and SMB53 in pre-dialysis patients. Functional predictions of microbial communities showed that PD and HD altered signal transduction and metabolic pathways in ESRD patients. Furthermore, Bacteroides and Phascolarctobacterium were associated with cardiovascular mortality. Dorea, Clostridium, and SMB53 were related to peritonitis in PD patients. This study not only demonstrated differences in gut microbiota between pre-dialysis and dialysis ESRD patients, but also firstly proposed gut bacteria may exert an impact on patient prognosis.

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Section: Discussionsupporting

confidence: 93%

The Effects of Hemodialysis and Peritoneal Dialysis on the Gut Microbiota of End-Stage Renal Disease Patients, and the Relationship Between Gut Microbiota and Patient Prognoses

Luo

Zhao

et al. 2021

Front. Cell. Infect. Microbiol.

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“…Our finding of a positive correlation of Prevotella with DMN and ECN functioning and also fronto-parietal attention network modulations support these results. Previous work showed a link between gut microbiota and restingstate functional connectivity, as assessed here (9,49). Interestingly, in one study assessing bivariate relationships, Prevotella and Bacteroides were associated with insular connectivity (8).…”

Section: Discussionmentioning

confidence: 72%

“…Other exploratory region-of-interest (ROI) analyses did not reveal significant associations. Another resting state fMRI study (n=28 vs 19) demonstrated that in end-stage renal disease, the integrity of the default mode network (DMN) was decreased along with alterations in the gut-microbiota composition (9). Taken together, these results are difficult to integrate and comprehend, as studies focus on one aspect of the modalities, such as connectivity from one particular ROI, or the gut-brain axis in targeted patient groups, or with different types of interventions.…”

Section: Introductionmentioning

confidence: 99%

Multivariate associative patterns between the gut microbiota and large-scale brain network connectivity

Kohn

Llera

Beckmann

et al. 2020

Preprint

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Research on the gut-brain axis has accelerated substantially over the course of the last years. Many reviews have outlined the important implications of understanding the relation of the gut microbiota with human brain function and behavior. One substantial drawback in integrating gut microbiome and brain data is the lack of integrative multivariate approaches that enable capturing variance in both modalities simultaneously. To address this issue, we applied a linked independent component analysis (LICA) to microbiota and brain connectivity data. We analyzed data from 58 healthy females (mean age=21.5 years). Magnetic Resonance Imaging data were acquired using resting state functional imaging data. The assessment of gut microbial composition from feces was based on sequencing of the V4 16S rRNA gene region. We used the LICA model to simultaneously factorize the subjects' large-scale brain networks and microbiome relative abundance data into 10 independent components of spatial and abundance variation. LICA decomposition resulted in four components with non-marginal contribution of the microbiota data. The default mode network featured strongly in three components, whereas the two-lateralized fronto-parietal attention networks contributed to one component. The executive-control (with the default mode) network was associated to another component. We found the abundance of Prevotella genus was associated to the strength of expression of all networks, whereas Bifidobacterium was associated with the default mode and frontoparietal-attention networks. We provide the first exploratory evidence for multivariate associative patterns between the gut microbiota and brain network connectivity in healthy humans, taking into account the complexity of both systems.

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“…It has been estimated that the intestinal tract harbors up to 100 trillion microbes 26 . These gut microbiota maintain the integrity of the epithelial barrier and shape the intestinal immune system, balancing host defense with microbial metabolites, components, and attachment to host cells 96 . Concomitantly, intestinal mucosa contains a large number of different immune cells that participate in the maintenance of a healthy microbiota community, as well as reinforce epithelial barrier functions 97 .…”

Section: The Role Of Gut Microbiota In Iga/gd-iga1 Immunitymentioning

confidence: 99%

Perspectives on how mucosal immune responses, infections and gut microbiome shape IgA nephropathy and future therapies

He¹,

Zhou²,

Lv³

et al. 2020

Theranostics

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Infections have been considered to play a critical role in the pathogenesis of IgA nephropathy (IgAN) because synpharyngitic hematuria is a common feature in IgAN. However, how infections participate in this process is still debated. More recent studies have also revealed that the alteration of the gut microbiome exerts a profound effect on host immune responses, contributing to the etiology or progression of autoimmunity. Considering IgA as the first line of defense against bacterial and viral antigens, this review evaluates the relationships among intestinal infections, gut microbiome, and IgA for a better understanding of the pathogenesis of IgAN. Moreover, as a prototype of IgA immunity, we provide detailed clarification of IgAN pathogenesis to shed light on other diseases in which IgA plays a role. Finally, we discuss potential therapies focusing on microbes and mucosal immune responses in IgAN.

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The gut microbiota-inflammation-brain axis in end-stage renal disease: perspectives from default mode network

Cited by 42 publications

References 54 publications

The Effects of Hemodialysis and Peritoneal Dialysis on the Gut Microbiota of End-Stage Renal Disease Patients, and the Relationship Between Gut Microbiota and Patient Prognoses

The Effects of Hemodialysis and Peritoneal Dialysis on the Gut Microbiota of End-Stage Renal Disease Patients, and the Relationship Between Gut Microbiota and Patient Prognoses

Multivariate associative patterns between the gut microbiota and large-scale brain network connectivity

Perspectives on how mucosal immune responses, infections and gut microbiome shape IgA nephropathy and future therapies

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