Perturbed Microbial Ecology in Myasthenia Gravis: Evidence from the Gut Microbiome and Fecal Metabolome

Zheng, Peng; Li, Yifan; Wu, Jing; Zhang, Hanping; Huang, Yu; Tan, Xunmin; Pan, Junxi; Duan, Jiajia; Liang, Weiwei; Yin, Bangmin; Deng, Feng-Li; Perry, Seth W.; Wong, Ma‐Li; Licinio, Júlio; Wei, Hong; Yu, Gang; Xie, Peng

doi:10.1002/advs.201901441

Cited by 54 publications

(104 citation statements)

References 46 publications

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“…All the data were derived from our previous investigation (Zheng et al, 2019a). Briefly, ptients with MG were diagnosed and classified based on previous literature (Cortes-Vicente et al, 2016).…”

Section: Subject Recruitment and Sample Collectionmentioning

confidence: 99%

“…Totally, 31 OMG, 39 GMG subjects and 74 HCs were recruited from our previous study (Zheng et al, 2019a). The detailed clinical characteristics of these subjects were presented in Table 1.…”

Section: Omg Subjects Exhibited Different Gut Microbiota Versus Gmg Smentioning

confidence: 99%

“…In recent years, mounting evidences have shown that gut microbiota plays a crucial role in the onset of central [e.g., autism spectrum disorder (Hsiao et al, 2013;Sharon et al, 2019)] and peripheral [e.g., irritable bowel syndrome (Duerkop et al, 2018)] diseases. Meanwhile, previous studies have found that gut microbial disorders may attribute to the onset of MG patients through fecal metabolism (Qiu et al, 2018;Zheng et al, 2019a). For instance, previous studies have observed that patients with MG showed a decrease in α-phylogenetic diversity, and significantly altered gut microbiome and fecal metabolome.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, germ-free (GF) mice colonized with MG microbiota (MMb) showed substantially impaired locomotion ability relative to the mice colonized with healthy microbiota (HMb). And this effect could be effectively reversed by co-housing procedures (Zheng et al, 2019a). However, until now, whether there were significant differences of gut microbial and metabolomic phenotypes in different subtypes of MG patients (OMG and GMG) remains largely unknown.…”

Section: Introductionmentioning

confidence: 99%

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Differential Gut Microbiota and Fecal Metabolites Related With the Clinical Subtypes of Myasthenia Gravis

et al. 2020

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Myasthenia gravis (MG) is a devastating acquired autoimmune disease. Previous studies have observed that disturbances of gut microbiome may attribute to the development of MG through fecal metabolomic signatures in humans. However, whether there were differential gut microbial and fecal metabolomic phenotypes in different subtypes of MG remains unclear. Here, our objective was to explore whether the microbial and metabolic signatures of ocular (OMG) and generalized myasthenia gravis (GMG) were different, and further identify the shared and distinct markers for patients with OMG and GMG. In this study, 16S ribosomal RNA (rRNA) gene sequencing and gas chromatographymass spectrometry (GC/MS) were performed to capture the microbial and metabolic signatures of OMG and GMG, respectively. Random forest (RF) classifiers was used to identify the discriminative markers for OMG and GMG. Compared with healthy control (HC) group, GMG group, but not OMG group, showed a significant decrease in α-phylogenetic diversity. Both OMG and GMG groups, however, displayed significant gut microbial and metabolic disorders. Totally, we identified 20 OTUs and 9 metabolites specific to OMG group, and 23 OTUs and 7 metabolites specific to GMG group. Moreover, combinatorial biomarkers containing 15 discriminative OTUs and 2 differential metabolites were capable of discriminating OMG and GMG from each other, as well as from HCs, with AUC values ranging from 0.934 to 0.990. In conclusion, different subtypes of MG harbored differential gut microbiota, which generated discriminative fecal metabolism.

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Section: Subject Recruitment and Sample Collectionmentioning

confidence: 99%

“…Totally, 31 OMG, 39 GMG subjects and 74 HCs were recruited from our previous study (Zheng et al, 2019a). The detailed clinical characteristics of these subjects were presented in Table 1.…”

Section: Omg Subjects Exhibited Different Gut Microbiota Versus Gmg Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Differential Gut Microbiota and Fecal Metabolites Related With the Clinical Subtypes of Myasthenia Gravis

et al. 2020

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“…This integration of metagenomic and metabolomic methods has proven an effective way to uncover gut microbial composition and function in various diseases. 19 Using this well-established strategy, we compared the microbial and metabolic signatures of GDM patients versus HCs, to uncover their reciprocal interactions in the gut ecosystem of GDM. In addition, we examined correlations between the altered gut microbes, fecal and urine metabolites, and various clinical indexes (e.g.…”

Section: Introductionmentioning

confidence: 99%

Altered gut bacterial and metabolic signatures and their interaction in gestational diabetes mellitus

Wang

Liu

et al. 2020

Gut Microbes

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Emerging evidence indicates that the gut microbiome can modulate metabolic homeostasis, and thus may influence the development of gestational diabetes mellitus (GDM). However, whether and how the gut microbiome and its correlated metabolites change in GDM is uncertain. Herein we compare the gut microbial compositions, and fecal and urine metabolomes, of 59 patients with GDM versus 48 pregnant healthy controls (HCs). We showed that the microbial and metabolic signatures of GDM patients were significantly different from those of HCs. Compared to HCs, the GDM subjects were characterized by enriched bacterial operational taxonomic units (OTUs) of the family Lachnospiraceae, and depleted OTUs of the families Enterobacteriaceae and Ruminococcaceae. Some altered gut microbes were significantly correlated with glucose values and fetal ultrasonography indexes. Moreover, we identified four fecal and 15 urine metabolites that discriminate GDM from HC. These differential metabolites are mainly involved in carbohydrate and amino acid metabolism. Significantly, co-occurrence network analysis revealed that Lachnospiraceae and Enterobacteriaceae bacterial OTUs formed strong co-occurring relationships with metabolites involved in carbohydrate and amino acid metabolism, suggesting that disturbed gut microbiome may mediate GDM. Furthermore, we identified a novel combinatorial marker panel that could distinguish GDM from HC subjects with high accuracy. Together our findings demonstrate that altered microbial composition and metabolic function may be relevant to the pathogenesis and pathophysiology of GDM.

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Gut Microbial Signatures Can Discriminate Unipolar from Bipolar Depression

et al. 2020

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Discriminating depressive episodes of bipolar disorder (BD) from major depressive disorder (MDD) is a major clinical challenge. Recently, gut microbiome alterations are implicated in these two mood disorders; however, little is known about the shared and distinct microbial characteristics in MDD versus BD. Here, using 16S ribosomal RNA (rRNA) gene sequencing, the microbial compositions of 165 subjects with MDD are compared with 217 BD, and 217 healthy controls (HCs). It is found that the microbial compositions are different between the three groups. Compared to HCs, MDD is characterized by altered covarying operational taxonomic units (OTUs) assigned to the Bacteroidaceae family, and BD shows disturbed covarying OTUs belonging to Lachnospiraceae, Prevotellaceae, and Ruminococcaceae families. Furthermore, a signature of 26 OTUs is identified that can distinguish patients with MDD from those with BD or HCs, with area under the curve (AUC) values ranging from 0.961 to 0.986 in discovery sets, and 0.702 to 0.741 in validation sets. Moreover, 4 of 26 microbial markers correlate with disease severity in MDD or BD. Together, distinct gut microbial compositions are identified in MDD compared to BD and HCs, and a novel marker panel is provided for distinguishing MDD from BD based on gut microbiome signatures.

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Perturbed Microbial Ecology in Myasthenia Gravis: Evidence from the Gut Microbiome and Fecal Metabolome

Cited by 54 publications

References 46 publications

Differential Gut Microbiota and Fecal Metabolites Related With the Clinical Subtypes of Myasthenia Gravis

Differential Gut Microbiota and Fecal Metabolites Related With the Clinical Subtypes of Myasthenia Gravis

Altered gut bacterial and metabolic signatures and their interaction in gestational diabetes mellitus

Gut Microbial Signatures Can Discriminate Unipolar from Bipolar Depression

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