Megamonas funiformis, Plasma Zonulin, and Sodium Intake Affect C3 Complement Levels in Inactive Systemic Lupus Erythematosus

Balmant, Bianca Depieri; Fonseca, Danielle Cristina; Prudêncio, Ana Paula Aguiar; Rocha, Ilanna Marques Gomes da; Callado, L.; Alves, Juliana Tepedino Martins; Torrinhas, Raquel Susana; Borba, Eduardo Ferreira; Waitzberg, Dan Linetzky

doi:10.3390/nu15081999

Cited by 9 publications

(3 citation statements)

References 45 publications

(49 reference statements)

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“…Balmant et al explored the difference of gut microbiome between inactive SLE women using hydroxychloroquine (HCQ) and healthy women. Megamonas is abundant in SLE females and negatively regulates C3 complement levels [ 24 ]. Additionally, a study had evaluated the association between bladder microbiome and urine metabolism, cytokines as well as disease phenotype in active patients SLE, and reported a negative correlation between the abundance of Megamonas and C3 complement levels [ 25 ].…”

Section: Discussionmentioning

confidence: 99%

Gut microbiota regulation of T lymphocyte subsets during systemic lupus erythematosus

Lian,

Zhang,

Zhao

et al. 2024

BMC Immunol

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Background Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by disturbance of pro-inflammatory and anti-inflammatory lymphocytes. Growing evidence shown that gut microbiota participated in the occurrence and development of SLE by affecting the differentiation and function of intestinal immune cells. The purpose of this study was to investigate the changes of gut microbiota in SLE and judge its associations with peripheral T lymphocytes. Methods A total of 19 SLE patients and 16 HCs were enrolled in this study. Flow cytometry was used to detect the number of peripheral T lymphocyte subsets, and 16 s rRNA was used to detect the relative abundance of gut microbiota. Analyzed the correlation between gut microbiota with SLEDAI, ESR, ds-DNA and complement. SPSS26.0 software was used to analyze the experimental data. Mann–Whitney U test was applied to compare T lymphocyte subsets. Spearman analysis was used for calculating correlation. Results Compared with HCs, the proportions of Tregs (P = 0.001), Tfh cells (P = 0.018) and Naïve CD4 + T cells (P = 0.004) significantly decreased in SLE patients, and proportions of Th17 cells (P = 0.020) and γδT cells (P = 0.018) increased in SLE. The diversity of SLE patients were significantly decreased. Addition, there were 11 species of flora were discovered to be distinctly different in SLE group (P < 0.05). In the correlation analysis of SLE, Tregs were positively correlated with Ruminococcus2 (P = 0.042), Th17 cells were positively correlated with Megamonas (P = 0.009), γδT cells were positively correlated with Megamonas (P = 0.003) and Streptococcus (P = 0.004), Tfh cells were positively correlated with Bacteroides (P = 0.040), and Th1 cells were negatively correlated with Bifidobacterium (P = 0.005). As for clinical indicators, the level of Tregs was negatively correlated with ESR (P = 0.031), but not with C3 and C4, and the remaining cells were not significantly correlated with ESR, C3 and C4. Conclusion Gut microbiota and T lymphocyte subsets of SLE changed and related to each other, which may break the immune balance and affect the occurrence and development of SLE. Therefore, it is necessary to pay attention to the changes of gut microbiota and provide new ideas for the treatment of SLE.

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Section: Discussionmentioning

confidence: 99%

Gut microbiota regulation of T lymphocyte subsets during systemic lupus erythematosus

Lian,

Zhang,

Zhao

et al. 2024

BMC Immunol

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“…After treating the hindgut with RIHR, there was a notable increase in the levels of Megamonas, Sellimonas and Shuttleworthia. Megamonas is typically exclusive to cachexia groups [41], Sellimonas [42] is known to be pro-inflammatory, and Shuttleworthia is considered potentially pathogenic [43]. It is interesting to observe the elevated levels of beneficial bacteria like Faecalibacterium and Blautia in the hindgut as well.…”

Section: Discussionmentioning

confidence: 99%

The Effects of Radix isatidis Raw Material on Egg Quality, Serum Biochemistry, Gut Morphology and Gut Flora

Li,

Yan,

Shi

et al. 2023

Antioxidants

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China produces more than 30 million tons of drug residues every year. Therefore, innovative solutions are needed to mitigate environmental damage. Certain plant compounds boost hens’ health and performance. Radix isatidis is promising for layer production. This study elucidates the multidimensional impact of Radix isatidis residual material (RIHR) on laying hens, focusing on the egg quality, intestinal health and the microbial landscape. A total of 288 55-week-old Peking powder laying hens with similar laying rates and body weights were randomly divided into four groups, with eight replicates per group and nine hens per replicate. The groups were divided into a control group, an RIHR low-dose group, a medium-dose group and a high-dose group according to a single-factor, completely randomized design. For the three RIHR treatment groups, the added amounts were 5 kg/t, 10 kg/t and 15 kg/t, respectively. Liquid chromatography- mass spectrometry (LC-MS), molecular docking, fluorescence quantitative PCR and other methods were used. The results showed that three main anti-inflammatory and antiviral compounds were identified in RIHR-indirubin (0.21 μg/g), deoxyvasicinone (0.18 μg/g) and epigoitrin (0.39 μg/g). RIHR significantly increased the eggshell thickness, Haugh unit and protein height (p < 0.05). It also had significant antioxidant and anti-inflammatory effects on ilea and ceca (p < 0.05). The microbial analysis demonstrated that RIHR supplementation led to a significant reduction in foregut Lactobacillus levels (p < 0.05). In the hindgut, a significant increase in pathogenic bacteria was observed (p < 0.05). The study concludes that RIHR’s anti-inflammatory compounds may directly act on the intestinal tract to modulate inflammation, highlighting its potential for targeted interventions in poultry health and nutrition.

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“…Furthermore, our findings suggest that GM composition is influenced by multiple factors, including intrinsic characteristics of the individual, as well as the combined effects of environmental, social, dietary, lifestyle factors, and others. The complex interplay of these factors likely contributes to the unique individualized nature of GM composition, making it challenging to identify a definitive healthy or dysbiotic pattern [27,28].…”

Section: Discussionmentioning

confidence: 99%

Dys-R Questionnaire: A Novel Screening Tool for Dysbiosis Linked to Impaired Gut Microbiota Richness

Balmant,

Fonseca,

Rocha

et al. 2023

Nutrients

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Practical and affordable tools to screen intestinal dysbiosis are needed to support clinical decision making. Our study aimed to design a new subjective screening tool for the risk of intestinal dysbiosis from a previously described nonvalidated questionnaire (DYS/FQM) and based on subjective and objective data. A total of 219 individuals comprised the chronic diseases (CD; n = 167) and healthy control (HC; 52 subjects) groups. Sociodemographic, anthropometric, body composition, lifestyle, past history, intestinal health, and dietary data were collected. The gut microbiota (GM) profile was assessed from fecal samples using the 16S rRNA sequencing. Scores for the new tool (Dys-R Questionnaire) were assigned using discrete optimization techniques. The association between Dys-R scores and dysbiosis risk was assessed through correlation, simple linear models, sensitivity, specificity, as well as positive and negative predictive values. We found significant differences in the Chao1 Index between CD and HC groups (adjusted p-value = 0.029), highlighting lower GM richness as the primary marker for intestinal dysbiosis. DYS/FQM showed poor performance in identifying poor GM richness. Dys-R exhibited a 42% sensitivity, 82% specificity, 79% positive predictive value (PPV), and 55% negative predictive value (NPV) to identify poor GM richness. The new Dys-R questionnaire showed good performance in ruling out dysbiosis.

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Megamonas funiformis, Plasma Zonulin, and Sodium Intake Affect C3 Complement Levels in Inactive Systemic Lupus Erythematosus

Cited by 9 publications

References 45 publications

Gut microbiota regulation of T lymphocyte subsets during systemic lupus erythematosus

Gut microbiota regulation of T lymphocyte subsets during systemic lupus erythematosus

The Effects of Radix isatidis Raw Material on Egg Quality, Serum Biochemistry, Gut Morphology and Gut Flora

Dys-R Questionnaire: A Novel Screening Tool for Dysbiosis Linked to Impaired Gut Microbiota Richness

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