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. 2024 May 28:15:1374938.
doi: 10.3389/fimmu.2024.1374938. eCollection 2024.

Exploring risk factors for autoimmune diseases complicated by non-hodgkin lymphoma through regulatory T cell immune-related traits: a Mendelian randomization study

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Exploring risk factors for autoimmune diseases complicated by non-hodgkin lymphoma through regulatory T cell immune-related traits: a Mendelian randomization study

Qi Liu et al. Front Immunol. .

Abstract

Background: The effect of immune cells on autoimmune diseases (ADs) complicated by non-Hodgkin lymphoma (NHL) has been widely recognized, but a causal relationship between regulatory T cell (Treg) immune traits and ADs complicated by NHL remains debated.

Methods: Aggregate data for 84 Treg-related immune traits were downloaded from the Genome-Wide Association Study (GWAS) catalog, and GWAS data for diffuse large B-cell lymphoma (DLBCL; n=315243), follicular lymphoma (FL; n=325831), sjögren's syndrome (SS; n=402090), rheumatoid arthritis (RA; n=276465), dermatopolymyositis (DM; n=311640), psoriasis (n=407876), atopic dermatitis (AD; n=382254), ulcerative colitis (UC; n=411317), crohn's disease(CD; n=411973) and systemic lupus erythematosus (SLE; n=307587) were downloaded from the FinnGen database. The inverse variance weighting (IVW) method was mainly used to infer any causal association between Treg-related immune traits and DLBCL, FL, SS, DM, RA, Psoriasis, AD, UC, CD and SLE, supplemented by MR-Egger, weighted median, simple mode, and weighted mode. Moreover, we performed sensitivity analyses to assess the validity of the causal relationships.

Results: There was a potential genetic predisposition association identified between CD39+ CD8br AC, CD39+ CD8br % T cell, and the risk of DLBCL (OR=1.51, p<0.001; OR=1.25, p=0.001) (adjusted FDR<0.1). Genetic prediction revealed potential associations between CD25++ CD8br AC, CD28- CD25++ CD8br % T cell, CD39+ CD8br % CD8br, and the risk of FL (OR=1.13, p=0.022; OR=1.28, p=0.042; OR=0.90, p=0.016) (adjusted FDR>0.1). Furthermore, SLE and CD exhibited a genetically predicted potential association with the CD39+ CD8+ Tregs subset. SS and DM were possibly associated with an increase in the quantity of the CD4+ Tregs subset; RA may have reduced the quantity of the CD39+ CD8+ Tregs subset, although no causal relationship was identified. Sensitivity analyses supported the robustness of our findings.

Conclusions: There existed a genetically predicted potential association between the CD39+ CD8+ Tregs subset and the risk of DLBCL, while SLE and CD were genetically predicted to be potentially associated with the CD39+ CD8+ Tregs subset. The CD39+ CD8+ Tregs subset potentially aided in the clinical diagnosis and treatment of SLE or CD complicated by DLBCL.

Keywords: GWAS data; Mendelian randomization; autoimmune disease; non-Hodgkin lymphoma; regulatory T cell.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Study design and workflow: Key analysis MR Flow diagram. SLE, systemic lupus erythematosus; DLBCL, diffuse large B-cell lymphoma; FL, follicular lymphoma; GWAS, Genome-Wide Association Study; IVW, inverse variance weighted; ADs, autoimmune diseases; SS, sjögren's syndrome; RA, rheumatoid arthritis; DM, dermatopolymyositis; UC,ulcerative colitis; AD,atopic dermatitis; CD, crohn’s disease.
Figure 2
Figure 2
Evaluating the causal relationship between regulatory T cell immune-related traits and NHL-related risk using the IVW analysis method. nSNP, the number of single nucleotide polymorphisms; IVW, Inverse Variance Weighted; DLBCL, diffuse large B-cell lymphoma; FL, follicular lymphoma.
Figure 3
Figure 3
Evaluating the causal relationship between NHL and traits associated with regulatory T cell immunity using the IVW analysis method. IVW, inverse variance weighted; nSNP, the number of single nucleotide polymorphisms; DLBCL, diffuse large B-cell lymphoma; FL, follicular lymphoma.
Figure 4
Figure 4
Evaluate the causal relationship between ADs and regulatory T cell immune-related characteristics based on the IVW analysis method. CD, crohn’s disease; DM, dermatopolymyositis; RA, rheumatoid arthritis; SS, sjögren’s syndrome; SLE, systemic lupus erythematosus.

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