Causal effects of gut microbiota on scoliosis: A bidirectional two-sample mendelian randomization study

Causal link between gut microbiota and obsessive-compulsive disorder: A two-sample Mendelian randomization analysis

BACKGROUND

Previous studies have indicated a potential link between the gut microbiota and obsessive-compulsive disorder (OCD). However, the exact causal relationship remains uncertain. In this study, we employed a two-sample Mendelian randomization (MR) analysis to evaluate the causal connection between gut microbiota and OCD.

METHODS

We collected Genome-Wide Association Study (GWAS) summary data on gut microbiota (n = 18, 340) and OCD (n = 199, 169), using single nucleotide polymorphisms (SNPs) as the instrumental variable. SNPs with an F-statistic of <10 were deemed weak instrumental variables and subsequently excluded. The MR analysis was conducted using five methods: inverse variance weighting (IVW), MR Egger, weighted median, weighted mode, and simple mode. Heterogeneity and pleiotropy were assessed using Cochran's Q-test and MR Egger intercept test, while sensitivity analysis was performed using a leave-one-out approach.

RESULTS

The IVW analysis revealed that at the phylum level, Proteobacteria (OR = 0.545, 95%CI: 0.347-0.855, P = 0.008) served as a protective factor for OCD, whereas at the order level, Bacillales (OR = 1.327, 95%CI: 1.032-1.707, P = 0.027) was identified as a risk factor. At the family level, Ruminococcaceae (OR = 0.570, 95%CI: 0.354-0.918, P = 0.021) also acted as a protective factor. At the genus level, Bilophila (OR = 0.623, 95%CI: 0.425-0.911, P = 0.015) was a protective factor, while Eubacterium ruminantium group (OR = 1.347, 95%CI: 1.012-1.794, P = 0.041) and Lachnospiraceae UCG001 (OR = 1.384, 95%CI: 1.003-1.910, P = 0.048) were identified risk factors. Reverse MR analysis showed no significant causal relationship between OCD and the gut microbiota, with no significant heterogeneity or horizontal pleiotropy observed.

CONCLUSION

Our analysis suggested that specific gut microbiota might have a causal relationship with OCD, revealing potential intervention strategies for the prevention and treatment of this disorder.

Evidence of synbiotic potential of oat beverage enriched with inulin and fermented by L. rhamnosus LR B in a dynamic in vitro model of human colon

Fermented dairy products are known for their efficiency in delivering and protecting probiotic microorganisms. However, there is a growing demand for diversification of the market with plant-based products. The aim of this study was to develop an oat beverage enriched with inulin and fermented with Lacticaseibacillus rhamnosus LR B and evaluate its synbiotic effects in vitro. For this purpose, the validated dynamic colon model (the TNO Intestinal Model TIM-2) was used with focus on the composition of the gut microbiota and its production of metabolites to evaluate the functionality. The fermentation kinetics, sugars, organic acids and inulin dosage in the fermented oat beverage were also evaluated. The acidification rate was 16.91 10-3 pH units.min-1, reaching the final pH of 4.5 in 2.38 ± 0.05 h. Dosages of sucrose, glucose and lactic acid were 23.35 ± 0.45 g.L-1, 21.37 ± 0.77 g.L-1, 0.94 ± 0.05 g.L-1, respectively. After simulated in vitro digestion, the inulin concentration was partially preserved with 20.11 ± 0.21 maltose equivalent (μg.mL-1). The fermented and pre-digested oat beverage (with 7.71 ± 0.44 log CFU.mL-1) was fed into TIM-2, which was previously inoculated with feces from healthy adults. The analysis identified nine bacterial taxa that were significantly modulated compared to the standard ileal effluent medium (SIEM) control. An increase in relative abundance of Lactobacillus and Catenibacterium, and reduction in Citrobacter, Escherichia-Shigella, and Klebsiella was observed. In addition, the cumulative means of short-chain fatty acids (SCFAs) increased, especially for acetate and butyrate. These findings suggest that the developed oat beverage can positively influence the gut microbiota and its activity, highlighting possible health benefits.

Association between bone mineral density and scoliosis: a two-sample mendelian randomization study in european populations

BACKGROUND

Previous studies have shown that bone mineral density (BMD) has a certain impact on scoliosis. However, up to now, there is no clear evidence that there is a causal association between the two. The aim of this study is to investigate whether there is a causal association between BMD at different body positions and scoliosis by two-sample Mendelian randomization (MR).

METHODS

Genetic variants (SNPS) strongly associated with BMD (total body BMD (TB-BMD), lumbar spine BMD (LS-BMD), femoral neck BMD (FN-BMD), heel BMD (HE-BMD), and forearm BMD (FA-BMD)) were extracted from GEFOS and genome-wide association analysis (GWAS) databases SNPs) were used as instrumental variables (IVs). Scoliosis was also selected from the Finnish database as the outcome. Inverse variance weighting (IVW) method was used as the main analysis method, and multiple sensitivity analysis was performed by combining weighted median, MR-Egger, MR Multi-effect residuals and outliers.

RESULTS

IVW results showed that TB-BMD (OR = 0.83, 95%CI: 0.66-1.55 P = 0.13), LS-BMD (OR = 0.72, 95%CI: 0.52-0.99, P = 0.04), FN-BMD (OR = 0.74, 95%CI: 0.50-1.09, P = 0.13), FA-BMD (OR = 0.95,95%CI: 0.70-1.28, P = 0.75), HE-BMD (OR = 0.91, 95%CI: 0.77-1.08, P = 0.29). Sensitivity analyses showed no evidence of pleiotropy or heterogeneity (p > 0.05) (MR-PRESSO and Cochrane). The results were further validated by leave-one-out test and MR-Egger intercept, which confirmed the robustness of the study results.

CONCLUSION

In conclusion, the present study demonstrates that the causal role of genetic prediction of scoliosis increases with decreasing lumbar BMD. There was no evidence that BMD at the remaining sites has a significant causal effect on scoliosis. Our results suggest that the lumbar spine BMD should be routinely measured in the population at high risk of scoliosis. If osteoporosis occurs, appropriate treatment should be given to reduce the incidence of scoliosis.

CLINICAL TRIAL NUMBER

Not applicable.

Impact of Lactocaseibacillus (Lactobacillus) paracasei sup. paracasei TISTR 2593 Probiotic Supplementation on the Gut Microbiome of Hypercholesterolemia Patients: A Randomized Controlled Trial

Probiotics have shown potential in managing hypercholesterolemia and related metabolic conditions. This study evaluated the effects of Lactocaseibacillus (Lactobacillus) paracasei sup. paracasei TISTR 2593 on the gut microbiome and metabolic health in patients with hypercholesterolemia, and was registered in the Thai Clinical Trial Registry (TCTR 20220917002). In a randomized, double-blind, placebo-controlled trial, 22 hypercholesterolemic participants received either the probiotic or a placebo daily for 90 days. Fecal samples collected before and after the intervention revealed significant microbiome changes, including a decrease in Subdoligranulum, linked to rheumatoid arthritis, and an increase in Flavonifractor, known for its anti-inflammatory properties. Additionally, the probiotic group exhibited a significant reduction in low-density lipoprotein cholesterol (LDL-C) levels. These findings suggest that L. paracasei TISTR 2593 can modulate the gut microbiome and improve metabolic health, warranting further investigation into its mechanisms and long-term benefits.

Gut microbiota influence acute pancreatitis through inflammatory proteins: a Mendelian randomization analysis

Background/Aim

We employed Mendelian randomization (MR) analysis to investigate the causal relationship between the gut microbiota, acute pancreatitis, and potential inflammatory proteins.

Methods

The data for gut microbiota, acute pancreatitis, and inflammatory proteins are sourced from public databases. We conducted a bidirectional MR analysis to explore the causal relationship between gut microbiota and acute pancreatitis, and employed a two-step MR analysis to identify potential mediating inflammatory proteins. IVW is the primary analysis method, heterogeneity, pleiotropy, and sensitivity analyses were also conducted simultaneously.

Results

We identified five bacterial genera associated with the risk of acute pancreatitis, namely genus.Coprococcus3, genus.Eubacterium fissicatena group, genus.Erysipelotrichaceae UCG-003, genus.Fusicatenibacter, and genus.Ruminiclostridium6. Additionally, we have discovered three inflammatory proteins that are also associated with the occurrence of acute pancreatitis, namely interleukin-15 receptor subunit alpha (IL-15RA), monocyte chemoattractant protein-4 (CCL13), and tumor necrosis factor receptor superfamily member 9 (TNFRSF9). Following a two-step MR analysis, we ultimately identified IL-15RA as a potential intermediate factor, with a mediated effect of 0.018 (95% CI: 0.005 - 0.032).

Conclusion

Our results support the idea that genus.Coprococcus3 promotes the occurrence of acute pancreatitis through IL-15RA. Furthermore, there is a potential causal relationship between the gut microbiota, inflammatory proteins, and acute pancreatitis. These findings provide new insights for subsequent acute pancreatitis prevention.

Gut Microbiota Alterations in Adolescent Idiopathic Scoliosis Are Associated with Aberrant Bone Homeostasis

OBJECTIVE

Low bone mineral density is the major prognostic factor for adolescent idiopathic scoliosis (AIS), but the underlying mechanisms remain unclear. Accumulating evidence suggests that gut microbiota (GM) have the potential to affect bone development, and the GM signatures are altered in AIS patients. However, the effect of GM alterations on aberrant bone homeostasis in AIS remains unclear. This study aims to investigate the GM profile in AIS patients with different bone mineral density (BMD) and explore the association between GM, osteopenia, and aberrant bone turnover.

METHODS

A total of 126 patients with AIS who received surgical treatment were retrospectively included in this study. We analyzed the composition of the GM by 16S rRNA sequencing and BMD by dual X-ray absorptiometry. Based on the BMD of the femur neck, the patients were divided into the osteopenia group (OPN) if the Z score < -1, and the normal (NOR) group if the Z score ≥ -1 SD compared to the healthy control. For the 16S rRNA sequencing, the raw reads were filtered to remove low-quality reads, and operational taxonomic units were identified with the Uparse program. Weighted UniFrac distance matrix for the beta-diversity metrics and principal coordinate analysis (PCoA) was performed, and the statistical comparisons were made with permutational multivariate analysis of variance (PERMANOVA) and analysis of similarity (ANONISM). Linear discriminant analysis effect size (LEfSe) was used to identify the enriched species in two groups. The "Random forest" was applied to determine the optimal biomarker for OPN according to the mean decrease in Gini value. The metabolic function was predicted by the Tax4Fun analysis. The Pearson correlation coefficient was used to evaluate the associations between GM species, bone turnover markers, and BMD.

RESULTS

The serum β-CTX was increased in the OPN group (n = 67) compared to the NOR group (n = 59). Patients in OPN groups showed significantly decreased α diversity indicated by the Shannon index. Principal coordinate analysis (PCoA) analysis showed significant clustering of GM between OPN and NOR groups. At genus level, the Escherichia-Shigella and Faecalibacterium were significantly enriched in the OPN group compared to that in the NOR group (p < 0.05), whereas the abundance of Prevotella was significantly decreased (p = 0.0012). The relative abundance of Megamonas and Prevotella was positively correlated with the femur BMD. The abundance of Escherichia-Shigella was negatively correlated with femur BMD and positively correlated with serum β-CTX levels. Functional analysis revealed significant differences in starch and sucrose metabolism, pyruvate and cysteine, and methionine metabolism between NOR and OPN groups.

CONCLUSION

The alterations of GM in AIS patients are correlated with osteopenia. The association between enriched species, BMD, and bone turnover markers provides novel diagnostic and therapeutic targets for the clinical management of AIS.

Association between gut microbiota and Hirschsprung disease: a bidirectional two-sample Mendelian randomization study

Background

Several studies have pointed to the critical role of gut microbiota (GM) and their metabolites in Hirschsprung disease (HSCR) pathogenesis. However, the detailed causal relationship between GM and HSCR remains unknown.

Methods

In this study, we used two-sample Mendelian randomization (MR) analysis to investigate the causal relationship between GM and HSCR, based on the MiBioGen Consortium's genome-wide association study (GWAS) and the GWAS Catalog's HSCR data. Reverse MR analysis was performed subsequently, and the sensitivity analysis, Cochran's Q-test, MR pleiotropy residual sum, outlier (MR-PRESSO), and the MR-Egger intercept were used to analyze heterogeneity or horizontal pleiotropy. 16S rDNA sequencing and targeted mass spectrometry were developed for initial validation.

Results

In the forward MR analysis, inverse-variance weighted (IVW) estimates suggested that Eggerthella (OR: 2.66, 95%CI: 1.23-5.74, p = 0.01) was a risk factor for HSCR, while Peptococcus (OR: 0.37, 95%CI: 0.18-0.73, p = 0.004), Ruminococcus2 (OR: 0.32, 95%CI: 0.11-0.91, p = 0.03), Clostridiaceae1 (OR: 0.22, 95%CI: 0.06-0.78, p = 0.02), Mollicutes RF9 (OR: 0.27, 95%CI: 0.09-0.8, p = 0.02), Ruminococcaceae (OR: 0.16, 95%CI: 0.04-0.66, p = 0.01), and Paraprevotella (OR: 0.45, 95%CI: 0.21-0.98, p = 0.04) were protective factors for HSCR, which had no heterogeneity or horizontal pleiotropy. However, reverse MR analysis showed that HSCR (OR: 1.02, 95%CI: 1-1.03, p = 0.049) is the risk factor for Eggerthella. Furthermore, some of the above microbiota and short-chain fatty acids (SCFAs) were altered in HSCR, showing a correlation.

Conclusion

Our analysis established the relationship between specific GM and HSCR, identifying specific bacteria as protective or risk factors. Significant microbiota and SCFAs were altered in HSCR, underlining the importance of further study and providing new insights into the pathogenesis and treatment.

The mutual interactions among Helicobacter pylori, chronic gastritis, and the gut microbiota: a population-based study in Jinjiang, Fujian

Objectives

Helicobacter pylori (H. pylori) is a type of bacteria that infects the stomach lining, and it is a major cause of chronic gastritis (CG). H. pylori infection can influence the composition of the gastric microbiota. Additionally, alterations in the gut microbiome have been associated with various health conditions, including gastrointestinal disorders. The dysbiosis in gut microbiota of human is associated with the decreased secretion of gastric acid. Chronic atrophic gastritis (CAG) and H. pylori infection are also causes of reduced gastric acid secretion. However, the specific details of how H. pylori infection and CG, especially for CAG, influence the gut microbiome can vary and are still an area of ongoing investigation. The incidence of CAG and infection rate of H. pylori has obvious regional characteristics, and Fujian Province in China is a high incidence area of CAG as well as H. pylori infection. We aimed to characterize the microbial changes and find potential diagnostic markers associated with infection of H. pylori as well as CG of subjects in Jinjiang City, Fujian Province, China.

Participants

Enrollment involved sequencing the 16S rRNA gene in fecal samples from 176 cases, adhering to stringent inclusion and exclusion criteria. For our study, we included healthy volunteers (Normal), individuals with chronic non-atrophic gastritis (CNAG), and those with CAG from Fujian, China. The aim was to assess gut microbiome dysbiosis based on various histopathological features. QIIME and LEfSe analyses were performed. There were 176 cases, comprising 126 individuals who tested negative for H. pylori and 50 who tested positive defined by C14 urea breath tests and histopathological findings in biopsies obtained through endoscopy. CAG was also staged by applying OLGIM system.

Results

When merging the outcomes from 16S rRNA gene sequencing results, there were no notable variations in alpha diversity among the following groups: Normal, CNAG, and CAG; OLGIM I and OLGIM II; and H. pylori positive [Hp (+)] and H. pylori negative [Hp (-)] groups. Beta diversity among different groups show significant separation through the NMDS diagrams. LEfSe analyses confirmed 2, 3, and 6 bacterial species were in abundance in the Normal, CNAG, and CAG groups; 26 and 2 species in the OLGIM I and OLGIM II group; 22 significant phylotypes were identified in Hp (+) and Hp (-) group, 21 and 1, respectively; 9 bacterial species exhibited significant differences between individuals with CG who were Hp (+) and those who were Hp (-).

Conclusion

The study uncovered notable distinctions in the characteristics of gut microbiota among the following groups: Normal, CNAG, and CAG; OLGIM I and OLGIM II; and Hp (+) and Hp (-) groups. Through the analysis of H. pylori infection in CNAG and CAG groups, we found the gut microbiota characteristics of different group show significant difference because of H. pylori infection. Several bacterial genera could potentially serve as diagnostic markers for H. pylori infection and the progression of CG.