The gut microbiota correlate with the disease characteristics and immune status of patients with untreated diffuse large B-cell lymphoma

Meta-analysis: Risk of lymphoma in patients with inflammatory bowel disease in population-based cohort studies

BACKGROUND

There are inconsistencies in the results of the studies investigating the association between inflammatory bowel disease (IBD) and lymphoma.

AIMS

The aim of this study is to systematically appraise the risk of lymphoma development in patients with IBD.

METHODS

We searched Embase, PubMed and Scopus from inception to 30 April 2024 to identify population-based cohort studies that evaluated the risk of lymphoma in patients with IBD in comparison with those without IBD. We carried out random-effects meta-analyses and estimated pooled relative risks (RRs) with 95% confidence intervals (CIs).

RESULTS

We identified 23 eligible studies reporting 2078 lymphoma events in 656,731 patients with IBD. Patients with IBD had 30% higher odds of lymphoma (RR = 1.30 [95% CI: 1.21-1.40]). The risk of developing both Hodgkin's lymphoma (nine studies, RR = 1.29 [95% CI: 1.06-1.53]) and non-Hodgkin's lymphoma (16 studies, RR = 1.31 [95% CI: 1.20-1.42]) was increased in patients with IBD (p for interaction = 0.881). The increased risk of lymphoma was observed in both Crohn's disease (17 studies, RR = 1.54 [95% CI: 1.27-1.80]) and ulcerative colitis (20 studies, RR = 1.22 [95% CI: 1.09-1.35]) (p for interaction = 0.026). Meta-regression demonstrated that mean age of patients, study year, mean study follow-up duration, and percentages of immunomodulators and biologics use did not influence study outcome.

CONCLUSIONS

The risk of lymphoma is only modestly increased in patients with IBD, with Crohn's disease having a slightly higher risk than ulcerative colitis. In IBD, there appears to be no difference between the risks of Hodgkin's and non-Hodgkin's lymphoma.

Effects of immune cells in mediating the relationship between gut microbiota and myelodysplastic syndrome: a bidirectional two-sample, two-step Mendelian randomization study

BACKGROUND

The definitive establishment of a causal relationship between gut microbiota and myelodysplastic syndrome (MDS) has not been achieved. Furthermore, the involvement of immune cells in mediating the connection between gut microbiota and MDS is presently unclear.

METHODS

To elucidate the bidirectional correlation between gut microbiota and MDS, as well as to investigate the mediating role of immune cells, a bidirectional two-sample, two-step Mendelian randomization (MR) study was conducted. Summary statistics were obtained from genome-wide association studies (GWAS), including MDS (456,348 individuals), gut microbiota (18,340 individuals), and 731 immune cells signatures (3757 individuals).

RESULTS

Genetically predicted eight gut microbiota traits were significantly associated with MDS risk, but not vice versa. Through biological annotation of host-microbiome shared genes, we found that immune regulation may mediate the impact of gut microbiota on MDS. Subsequently, twenty-three immunophenotypes that exhibited significant associations with MDS risk and five of these immunophenotypes were under the causal influence of gut microbiota. Importantly, the causal effects of gut microbiota on MDS were significantly mediated by five immunophenotypes, including CD4 +T cell %leukocyte, CD127 on CD45RA - CD4 not regulatory T cell, CD45 on CD33 + HLA DR + WHR, CD33 on basophil, and Monocyte AC.

CONCLUSIONS

Gut microbiota was causally associated with MDS risk, and five specific immunophenotypes served as potential causal mediators of the effect of gut microbiota on MDS. Understanding the causality among gut microbiota, immune cells and MDS is critical in identifying potential targets for diagnosis and treatment.

Causal relationships of gut microbiota, plasma metabolites, and metabolite ratios with diffuse large B-cell lymphoma: a Mendelian randomization study

Background

Recent studies have revealed changes in microbiota constitution and metabolites associated with tumor progression, however, no causal relation between microbiota or metabolites and diffuse large B-cell lymphoma (DLBCL) has yet been reported.

Methods

We download a microbiota dataset from the MiBioGen study, a metabolites dataset from the Canadian Longitudinal Study on Aging (CLSA) study, and a DLBCL dataset from Integrative Epidemiology Unit Open genome-wide association study (GWAS) project. Mendelian randomization (MR) analysis was conducted using the R packages, TwoSampleMR and MR-PRESSO. Five MR methods were used: MR-Egger, inverse variance weighting (IVW), weighted median, simple mode, and weighted mode. Reverse MR analyses were also conducted to explore the causal effects of DLBCL on the microbiome, metabolites, and metabolite ratios. Pleiotropy was evaluated by MR Egger regression and MR-PRESSO global analyses, heterogeneity was assessed by Cochran's Q-test, and stability analyzed using the leave-one-out method.

Results

119 microorganisms, 1,091 plasma metabolite, and 309 metabolite ratios were analyzed. According to IVW analysis, five microorganisms were associated with risk of DLBCL. The genera Terrisporobacter (OR: 3.431, p = 0.049) andgenera Oscillibacter (OR: 2.406, p = 0.029) were associated with higher risk of DLBCL. Further, 27 plasma metabolites were identified as having a significant causal relationships with DLBCL, among which citrate levels had the most significant protective causal effect against DLBCL (p = 0.006), while glycosyl-N-tricosanoyl-sphingadienine levels was related to higher risk of DLBCL (p = 0.003). In addition, we identified 19 metabolite ratios with significant causal relationships to DLBCL, of which taurine/glutamate ratio had the most significant protective causal effect (p = 0.005), while the phosphoethanolamine/choline ratio was related to higher risk of DLBCL (p = 0.009). Reverse MR analysis did not reveal any significant causal influence of DLBCL on the above microbiota, metabolites, and metabolite ratios (p > 0.05). Sensitivity analyses revealed no significant heterogeneity or pleiotropy (p > 0.05).

Conclusion

We present the first elucidation of the causal influence of microbiota and metabolites on DLBCL using MR methods, providing novel insights for potential targeting of specific microbiota or metabolites to prevent, assist in diagnosis, and treat DLBCL.

Dissecting causal links between gut microbiota, inflammatory cytokines, and DLBCL: a Mendelian randomization study

ABSTRACT

Causal relationships between gut microbiota, inflammatory cytokines, and diffuse large B-cell lymphoma (DLBCL) remain elusive. In addressing this gap, our Mendelian randomization (MR) study used data from the MiBioGen consortium encompassing 211 microbiota taxa (n = 18 340), genome-wide association study meta-analyses of 47 inflammatory cytokines, and DLBCL cases and controls from the FinnGen consortium (cases, n = 1010; controls, n = 287 137). Through bidirectional MR analyses, we examined the causal links between gut microbiota and DLBCL and used mediation analyses, including 2-step MR and multivariable MR (MVMR), to identify potential mediating inflammatory cytokines. Our findings revealed that 4 microbiota taxa were causally associated with DLBCL, and conversely, DLBCL influenced the abundance of 20 taxa. Specifically, in the 2-step MR analysis, both the genus Ruminococcaceae UCG-002 (odds ratio [OR], 1.427; 95% confidence interval [CI], 1.011-2.015; P = .043) and the inflammatory cytokine monokine induced by gamma (MIG) (OR, 1.244; 95% CI, 1.034-1.487; P = .020) were found to be causally associated with an increased risk of DLBCL. Additionally, a positive association was observed between genus Ruminococcaceae UCG-002 and MIG (OR, 1.275; 95% CI, 1.069-1.520; P = .007). Furthermore, MVMR analysis indicated that the association between genus Ruminococcaceae UCG-002 and DLBCL was mediated by MIG, contributing to 14.9% of the effect (P = .005). In conclusion, our MR study provides evidence that supports the causal relationship between genus Ruminococcaceae UCG-002 and DLBCL, with a potential mediating role played by the inflammatory cytokine MIG.

The Gut Connection: Exploring the Possibility of Implementing Gut Microbial Metabolites in Lymphoma Treatment

Recent research has implicated the gut microbiota in the development of lymphoma. Dysbiosis of the gut microbial community can disrupt the production of gut microbial metabolites, thereby impacting host physiology and potentially contributing to lymphoma. Dysbiosis-driven release of gut microbial metabolites such as lipopolysaccharides can promote chronic inflammation, potentially elevating the risk of lymphoma. In contrast, gut microbial metabolites, such as short-chain fatty acids, have shown promise in preclinical studies by promoting regulatory T-cell function, suppressing inflammation, and potentially preventing lymphoma. Another metabolite, urolithin A, exhibited immunomodulatory and antiproliferative properties against lymphoma cell lines in vitro. While research on the role of gut microbial metabolites in lymphoma is limited, this article emphasizes the need to comprehend their significance, including therapeutic applications, molecular mechanisms of action, and interactions with standard chemotherapies. The article also suggests promising directions for future research in this emerging field of connection between lymphoma and gut microbiome.

The Gut Microbiome Correlated to Chemotherapy Efficacy in Diffuse Large B-Cell Lymphoma Patients

The gut microbiome (GMB) has been extensively reported to be associated with the development and prognosis of human diseases. This study aims to investigate the relationship between GMB composition and chemotherapy efficacy in diffuse large B-cell lymphoma (DLBCL). We demonstrated that DLBCL patients at diagnosis have altered GMB compositions. Significant enrichment of the Proteobacteria phylum in DLBCL patients was observed. Gene analysis showed a high abundance of virulence factors genes. We found baseline GMB to be associated with clinical outcomes. The emergence of Lactobacillus fermentum was correlated with better treatment outcome. Our pilot results suggested a correlation between GMB composition and DLBCL development and prognosis. Clues from our study, together with previous research, provided a rational foundation for further investigation on the pathogenesis, prognosis value, and targeted therapy of GMB in DLBCL.