IDDF2024-ABS-0393 Causal relationship between peripheral immune cell counts and inflammatory bowel diseases: a bidirectional two-sample mendelian randomization study

<h3>Background</h3> Observational studies have described an association between peripheral immune cell counts and inflammatory bowel diseases (IBD), but the exact causal relationship between them remains unclear. Therefore, a bidirectional two-sample Mendelian Randomization (MR) study is conducted to explore this potential causality. <h3>Methods</h3> GWAS summary data for peripheral immune cell counts were obtained from the Blood Cell Consortium with 563,085 subjects of European ancestry, and data for IBD, Cronh’s disease (CD), and ulcerative colitis (UC) were obtained from five independent cohorts with 368,819 subjects of European ancestry. Single-variable Mendelian randomization (SVMR) was performed and followed by multivariable Mendelian randomization (MVMR) to assess the causal effects of peripheral immune cell counts on IBD risk (IDDF2024-ABS-0393 Figure 1. The flowchart providing an overview of instrumental variables (IVs) selection process and MR analysis plan). <h3>Results</h3> SVMR estimates showed that genetically predicted higher leukocytes [odds ratio (OR):1.225, 95% confidence interval (CI):1.027-1.452, p=0.027] and neutrophils (OR:1.281, 95% CI:1.044-1.572, p=0.018) increased risk of CD, and higher eosinophils increased risk of UC (OR:1.288, 95% CI:1.067-1.412, p=0.005). In MVMR, the effects of neutrophils (OR:1.653, 95% CI:1.139-2.405, p=0.010) and eosinophils (OR:1.303, 95% CI:1.016-1.668, p=0.040) were still significant. Reverse MR analysis showed higher basophils (OR:1.013, 95% CI:1.001-1.014, p=0.049) and eosinophils (OR:1.012, 95% CI:1.004-1.023, p=0.027), and lower lymphocytes (OR:0.993, 95% CI:0.984-0,997, p=0.015) in IBD patients, with specific increase in neutrophils for CD (OR:1.011, 95% CI:1.005-1.014, p=0.044) and basophils for UC (OR:1.012, 95% CI:1.004-1.023, p=0.013) (IDDF2024-ABS-0393 Figure 2. Forest plot for the causal effect of peripheral immune cell counts on IBD and vice versa). <h3>Conclusions</h3> These findings imply that increased neutrophil and eosinophil counts are potential causal risk factors for IBD, and IBD could affect the level of basophil, neutrophil, and lymphocyte count in turn. Our results may offer potential insights for the development of biomarkers and targeted treatment strategies for IBD.

Authors

Institutions

Publication Details

Journal
Clinical Gastroenterology
Published
2024-08-01
DOI
https://doi.org/10.1136/gutjnl-2024-iddf.327
Primary Topic
Inflammatory Bowel Disease
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IDDF2024-ABS-0393 Causal relationship between peripheral immune cell counts and inflammatory bowel diseases: a bidirectional two-sample mendelian randomization study

Hai Yun Shi, Xue Ping Huang, Hao Wang
Clinical Gastroenterology
Inflammatory Bowel Disease
article

IDDF2024-ABS-0393 Causal relationship between peripheral immune cell counts and inflammatory bowel diseases: a bidirectional two-sample mendelian randomization study

Hai Yun Shi, Xue Ping Huang, Hao Wang
article en

Abstract

<h3>Background</h3> Observational studies have described an association between peripheral immune cell counts and inflammatory bowel diseases (IBD), but the exact causal relationship between them remains unclear. Therefore, a bidirectional two-sample Mendelian Randomization (MR) study is conducted to explore this potential causality. <h3>Methods</h3> GWAS summary data for peripheral immune cell counts were obtained from the Blood Cell Consortium with 563,085 subjects of European ancestry, and data for IBD, Cronh’s disease (CD), and ulcerative colitis (UC) were obtained from five independent cohorts with 368,819 subjects of European ancestry. Single-variable Mendelian randomization (SVMR) was performed and followed by multivariable Mendelian randomization (MVMR) to assess the causal effects of peripheral immune cell counts on IBD risk (IDDF2024-ABS-0393 Figure 1. The flowchart providing an overview of instrumental variables (IVs) selection process and MR analysis plan). <h3>Results</h3> SVMR estimates showed that genetically predicted higher leukocytes [odds ratio (OR):1.225, 95% confidence interval (CI):1.027-1.452, p=0.027] and neutrophils (OR:1.281, 95% CI:1.044-1.572, p=0.018) increased risk of CD, and higher eosinophils increased risk of UC (OR:1.288, 95% CI:1.067-1.412, p=0.005). In MVMR, the effects of neutrophils (OR:1.653, 95% CI:1.139-2.405, p=0.010) and eosinophils (OR:1.303, 95% CI:1.016-1.668, p=0.040) were still significant. Reverse MR analysis showed higher basophils (OR:1.013, 95% CI:1.001-1.014, p=0.049) and eosinophils (OR:1.012, 95% CI:1.004-1.023, p=0.027), and lower lymphocytes (OR:0.993, 95% CI:0.984-0,997, p=0.015) in IBD patients, with specific increase in neutrophils for CD (OR:1.011, 95% CI:1.005-1.014, p=0.044) and basophils for UC (OR:1.012, 95% CI:1.004-1.023, p=0.013) (IDDF2024-ABS-0393 Figure 2. Forest plot for the causal effect of peripheral immune cell counts on IBD and vice versa). <h3>Conclusions</h3> These findings imply that increased neutrophil and eosinophil counts are potential causal risk factors for IBD, and IBD could affect the level of basophil, neutrophil, and lymphocyte count in turn. Our results may offer potential insights for the development of biomarkers and targeted treatment strategies for IBD.

Clinical Gastroenterology
Capital Medical University (CN), National Clinical Research Center for Digestive Diseases (CN), Beijing Friendship Hospital (CN)
Good health and well-being
Openalex Percentile: Top 48%
Inflammatory Bowel Disease
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.