Gut Microbiome Analysis Can Be Used as a Noninvasive Diagnostic Tool and Plays an Essential Role in the Onset of Membranous Nephropathy

Shang, Jin; Zhang, Yiding; Guo, Renhua; Liu, Wenli; Zhang, Jun; Ge, Yan; Wu, Feng; Cui, Wen; Wang, Peipei; Zheng, Xuejun; Wang, Ting; Dong, Yijun; Zhao, Jing; Wang, Li; Xiao, Jing; Zhao, Zhanzheng

doi:10.1002/advs.202201581

Cited by 11 publications

(7 citation statements)

References 44 publications

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“…Interestingly, Bacteroides, members of which were Frontiers in Physiology frontiersin.org uremic toxin producers, was found decreased in patients with MCD. However, the similar results was observed in patients with membranous nephropathy (Shang et al, 2022). In addition, the increase of Firmicutes/Bacteroidetes ratio was thought to be related to many diseases such as obesity, type 2 diabetes, and chronic kidney disease, which was consistent with our study (Grigor'eva, 2020;Guan et al, 2020).…”

Section: Discussionsupporting

confidence: 91%

Characterization and diagnostic value of the gut microbial composition in patients with minimal change disease

et al. 2022

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Background: Minimal change disease (MCD) is one of the most common causes of primary nephrotic syndrome with high morbidity. This study aimed to explore the typical alterations of gut microbiota in MCD and establish a non-invasive classifier using key gut microbiome. We also aimed to evaluate the therapeutic efficiency of gut microbiota intervention in MCD through animal experiments.Methods: A total of 222 stool samples were collected from MCD patients and healthy controls at the First Affiliated Hospital of Zhengzhou University and Shandong Provincial Hospital for 16S rRNA sequencing. Optimum operational taxonomic units (OTUs) were obtained for constructing a diagnostic model. MCD rat models were established using doxorubicin hydrochloride for exploring the therapeutic efficiency of gut microbial intervention through fecal microbiota transplantation (FMT).Results: The α-diversity of gut microbiota decreased in MCD patients when compared with healthy controls. The relative abundance of bacterial species also changed significantly. We constructed a diagnostic model based on eight optimal OTUs and it achieved efficiency of 97.81% in discovery cohort. The high efficiency of diagnostic model was also validated in the patients with different disease states and cross-regional cohorts. The treatment partially recovered the gut microbial dysbiosis in patients with MCD. In animal experiments, likewise, the gut microbiota changed sharply in MCD rats. However, gut microbial interventions did not reduce urinary protein or pathological kidney damage.Conclusion: Gut Microbiota shifts sharply in both patients and rats with MCD. Typical microbial changes can be used as biomarkers for MCD diagnosis. The gut microbiota compositions in patients with MCD tended to normalize after treatment. However, the intervention of gut microbiota seems to have no therapeutic effect on MCD.

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Section: Discussionsupporting

confidence: 91%

Characterization and diagnostic value of the gut microbial composition in patients with minimal change disease

et al. 2022

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“…Microbial biomarkers have been shown to be novel diagnostic and differential diagnostic tools, and help to identify new molecular therapeutic targets for diseases [ 9 – 13 ]. Generally, 16 S rRNA sequencing is mainly used to characterize the bacterial microbial composition, and explore the association between altered gut microbiota and various diseases [ 12 , 13 ]. Previous studies have found that Bacteroides is the hub of perturbed gut microbiota in unipolar depression, while enriched Prevotella is the characteristic of bipolar depression [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Changes of gut microbiota reflect the severity of major depressive disorder: a cross sectional study

et al. 2023

Transl Psychiatry

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Disturbed gut microbiota is a potential factor in the pathogenesis of major depressive disorder (MDD), yet whether gut microbiota dysbiosis is associated with the severity of MDD remains unclear. Here, we performed shotgun metagenomic profiling of cross-sectional stool samples from MDD (n = 138) and healthy controls (n = 155). The patients with MDD were divided into three groups according to Hamilton Depression Rating Scale 17 (HAMD-17), including mild (n = 24), moderate (n = 72) and severe (n = 42) individuals, respectively. We found that microbial diversity was closely related to the severity of MDD. Compared to HCs, the abundance of Bacteroides was significantly increased in both moderate and severe MDD, while Ruminococcus and Eubacterium depleted mainly in severe group. In addition, we identified 99 bacteria species specific to severity of depression. Furthermore, a panel of microbiota marker comprising of 37 bacteria species enabled to effectively distinguish MDD patients with different severity. Together, we identified different perturbation patterns of gut microbiota in mild-to-severe depression, and identified potential diagnostic and therapeutic targets.

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“…One novel study shows that gut microbiota dysbiosis promotes age-related atrial fibrillation by lipopolysaccharide and glucose-induced activation of NOD-like receptor protein (NLRP)-3 inflammasome [60], which also provides evidence that NOD-like receptor pathway may be one of common pathways through which microbiota dysbiosis induce the diseases. Previous study by Jin Shang et al [61] also suggests that gut microbiota existence is necessary for rats to show the MN characteristics when Heymann nephritis are induced.…”

Section: Discussionmentioning

confidence: 98%

Altered Intestinal Microbial Flora and Metabolism in Patients with Idiopathic Membranous Nephropathy

Shi,

Li,

Lin

et al. 2023

Am J Nephrol

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Introduction: Dysbiosis of the intestinal microbiome and related metabolites have been observed in chronic kidney disease (CKD), yet their roles in idiopathic membranous nephropathy (IMN) is poorly understood. Methods: In this study, we describe the variation of intestinal bacteria and fecal metabolites in patients with IMN in Chinese population. Stool samples are collected from 41 IMN patients at the beginning of diagnosis confirmation and 41 gender and age matched healthy control (HC). Microbial communities are investigated by sequencing of 16S rRNA genes and functional profiles predicted using Tax4Fun, and the correlation between intestinal bacteria and IMN clinical characteristics is also analyzed. Untargeted metabolomic analysis is performed to explore the relationship between colon’s microbiota and fecal metabolites. Results: IMN gastrointestinal microbiota demonstrates lower richness and diversity compared to HC, and exhibits a marked taxonomic and inferred functional dysbiosis when compared to HC. Some genera are closely related to the clinical parameters, such as Citrobacter and Akkermansia. 20 characteristic microbial biomarkers are selected to establish a disease prediction model with a diagnostic accuracy of 93.53%. Fecal metabolomics shows that tryptophan metabolism is reduced in IMN patients but uremic toxin accumulation in feces is not noticeable. Fecal microbiota transplantation demonstrates that gut dysbiosis impairs gut permeability in microbiota-depleted mice and induces NOD-like receptor activation in kidneys. Discussion/Conclusions: Clarifying the changes in intestinal microbiota in IMN patients will help further know the pathogenesis of this disease, and microbiota-targeted biomarkers will provide a potentially powerful tool for diagnosing and treating IMN.

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Gut Microbiome Analysis Can Be Used as a Noninvasive Diagnostic Tool and Plays an Essential Role in the Onset of Membranous Nephropathy

Cited by 11 publications

References 44 publications

Characterization and diagnostic value of the gut microbial composition in patients with minimal change disease

Characterization and diagnostic value of the gut microbial composition in patients with minimal change disease

Changes of gut microbiota reflect the severity of major depressive disorder: a cross sectional study

Altered Intestinal Microbial Flora and Metabolism in Patients with Idiopathic Membranous Nephropathy

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