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ORIGINAL RESEARCH article

Front. Immunol., 27 July 2023
Sec. Autoimmune and Autoinflammatory Disorders: Autoinflammatory Disorders
This article is part of the Research Topic The Gut-immune Axis: A Complex Training Ground Impacting Inflammatory Pathologies View all 10 articles

Causality between inflammatory bowel disease and the cerebral cortex: insights from Mendelian randomization and integrated bioinformatics analysis

Shubei He,,,&#x;Shubei He1,2,3,4†Ying Peng,,,&#x;Ying Peng1,2,3,4†Xiaofang Chen,,,Xiaofang Chen1,2,3,4Ying Ou*Ying Ou5*
  • 1Department of Gastroenterology, The First Affiliated Hospital (Southwest Hospital) to Third Military Medical University (Army Medical University), Chongqing, China
  • 2Institute of Digestive Diseases of the People's Liberation Army, The First Affiliated Hospital (Southwest Hospital) to Third Military Medical University (Army Medical University), Chongqing, China
  • 3Cholestatic Liver Diseases Center, The First Affiliated Hospital (Southwest Hospital) to Third Military Medical University (Army Medical University), Chongqing, China
  • 4Center for Metabolic Associated Fatty Liver Disease, The First Affiliated Hospital (Southwest Hospital) to Third Military Medical University (Army Medical University), Chongqing, China
  • 5Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China

Background: Inflammatory bowel disease (IBD), which includes ulcerative colitis (UC) and Crohn’s disease (CD), is a chronic, progressive, and recurrent intestinal condition that poses a significant global health burden. The high prevalence of neuropsychiatric comorbidities in IBD necessitates the development of targeted management strategies.

Methods: Leveraging genetic data from genome-wide association studies and Immunochip genotype analyses of nearly 150,000 individuals, we conducted a two-sample Mendelian randomization study to elucidate the driving force of IBD, UC, and CD on cortical reshaping. Genetic variants mediating the causality were collected to disclose the biological pathways linking intestinal inflammation to brain dysfunction.

Results: Here, 115, 69, and 98 instrumental variables genetically predicted IBD, UC, and CD. We found that CD significantly decreased the surface area of the temporal pole gyrus (β = −0.946 mm2, P = 0.005, false discovery rate-P = 0.085). Additionally, we identified suggestive variations in cortical surface area and thickness induced by exposure across eight functional gyri. The top 10 variant-matched genes were STAT3, FOS, NFKB1, JAK2, STAT4, TYK2, SMAD3, IL12B, MYC, and CCL2, which are interconnected in the interaction network and play a role in inflammatory and immune processes.

Conclusion: We explore the causality between intestinal inflammation and altered cortical morphology. It is likely that neuroinflammation-induced damage, impaired neurological function, and persistent nociceptive input lead to morphological changes in the cerebral cortex, which may trigger neuropsychiatric disorders.

1 Introduction

Inflammatory bowel disease (IBD) encompasses a range of chronic nonspecific inflammatory disorders affecting the intestine and extraintestinal organs (1). The two primary phenotypes of IBD are ulcerative colitis (UC) and Crohn’s disease (CD), which are differentiated based on clinical characteristics. Historically, IBD has been predominantly observed in individuals of European descent. However, there has been a significant increase in the incidence of IBD among Americans and non-white populations, leading to a global health burden (2).

More than 20% of IBD patients suffer from mental disorders (3), while the prevalence of combined neurodegenerative diseases is at least 1.14-fold higher than that in healthy populations or patients with other long-standing illnesses (4). The correlation between chronic gut inflammation and neuropsychologic abnormalities has been proactively initiated these years, spawning the concept of the gut–brain axis—a bidirectional communication network between the intestine and the brain (5, 6). Animal experiments have demonstrated reduced neurogenesis and inhibited neuronal progenitor proliferation in mice with induced colitis (7, 8). Similarly, clinical trials targeting IBD populations with neuropsychiatric symptoms revealed regionally morphologic changes in the gray matter, making them promising neuroimaging biomarkers (9, 10). Taken together, these findings suggest that IBD can trigger structural variations in the brain, particularly in the cerebral cortex, which is the foundation for advanced neural activity. However, there are still gaps in our understanding of the causal relationship between IBD and the cerebral cortex due to incomplete translation of animal models to humans. Moreover, limited sample sizes and confounding factors in clinical cohorts present challenges when drawing definitive conclusions.

As an epidemiologic approach, Mendelian randomization (MR) allows for assessing causal relationships between specific exposure and outcome traits by randomly allocating genetic variants as instrumental variables (11, 12), which is applicable in etiological studies. Recently, MR has been employed to identify genetic overlap between intestinal inflammation and brain function (13). The application of MR in the field of the gut–brain axis has yielded valuable insights into potential therapeutic targets for related diseases and has sparked further investigations. Compared with traditional observations and randomized controlled trials, MR eliminates the drawbacks of potential confounding effects, inverse causality, and high execution difficulty.

Using publicly available genome-wide association studies (GWASs), we conducted a two-sample MR analysis to investigate the effect of IBD, UC, and CD on the cortical structure. This study aims to identify underlying factors that contribute to neuropsychiatric symptoms in patients with IBD and facilitate the discovery of the gut–brain axis. By exploring the mechanisms underlying cortical structural modifications, we hope to gain new insights that can inform the development of pharmaceutical therapies.

2 Methods

2.1 Data sources

2.1.1 Exposure: inflammatory bowel disease

The GWAS summary statistics for IBD, UC, and CD were obtained from a trans-ethnic association study conducted by Liu et al. (14), who aggregated GWASs and Immunochip genotype data from a total of 86,640 European participants (38,155 cases; 48,485 controls) as well as 9,846 non-European ancestry participants (Supplementary Table S1). We downloaded the compiled information from the NHGRI-EBI GWAS catalog (15), which serves as a comprehensive repository of freely accessible bioinformatics resources.

2.1.2 Outcome: cerebral cortex structure

The GWAS summary statistics of the cerebral cortex were derived from a structural magnetic resonance imaging (MRI)-based study that included 51,665 European individuals (Supplementary Table S2). Grasby et al. (16) comprehensively analyzed the entire cortex. They developed 138 distinctive phenotypes [total surface area (SA) and average thickness (TH), 34 globally controlled cortical SA and TH, 34 non-globally controlled cortical SA and TH]. We employed the GWAS data for these 138 cortical traits to explore whether IBD, UC, and CD causally induce cortical structural changes.

Our study only extracted GWAS summary statistics from published studies, which were also publicly accessible. No extra ethical approval or informed consent was required.

2.2 Selection of genetic instruments

In essence, MR involves using a genome-wide single nucleotide polymorphism (SNP) as an instrumental variable to validate the exposure–outcome association. The beta values and standard errors of SNPs for each trait are selected for MR analysis. A qualified instrumental variant must adhere to the following principles (11): 1) it should be strongly correlated with the exposure data at a test threshold of 5 × 10−8; 2) it should not be directly associated with the outcome trait, indicating that any observed causality is solely driven by the exposure; and 3) it should independently establish exposure–outcome causality, excluding the influence of confounding factors (Figure 1A).

FIGURE 1
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Figure 1 Study design overview. (A) Three essential hypotheses of Mendelian randomization in our study. (B) Flowchart of Mendelian randomization analysis disclosing the underlying role of IBD, UC, and CD in the altered brain structure. IBD, inflammatory bowel disease; UC, ulcerative colitis; CD, Crohn’s disease; SNP, single nucleotide polymorphism.

For our study, we applied three main hypotheses to select genetic variants (Figure 1B). Firstly, we excluded SNPs that did not reach genome-wide significance at a threshold of 5 × 10−8 in the respective summarized dataset for the exposure phenotypes. We also removed SNPs in high linkage disequilibrium with an r2 value of 0.001 and a physical distance of 10,000 kb from the index variant. Additionally, we calculated F-statistics for candidate SNPs and retained those with an F-statistic exceeding 10 (17, 18). After incorporating the outcome data, instruments significantly associated with the cerebral cortex at a significance level of 5 × 10−8 were excluded.

To establish a direct causal IBD–brain relationship, we accounted for potential confounding factors such as obesity, body mass index, type 1 and type 2 diabetes mellitus, hypertension, smoking, drinking, and neuropsychiatric diseases. We employed PhenoScanner, an online database of human genotype–phenotype associations (www.phenoscanner.medschl.cam.ac.uk), to identify and exclude confounder SNPs from the genetic variants (P-value: 1 × 10-5, r2: 0.8, European, reference: GRCh37).

2.3 Analyses of causal effect

Outlier SNPs should be identified and removed using the MR-PRESSO method prior to conducting the MR analysis. In our study, a two-sample MR analysis was employed to extrapolate the extent and direction of the effect of IBD on brain structure. Five strategies were utilized: MR-Egger, random-effect inverse-variance weighted (IVW), weighted median, simple mode, and weighted mode. The MR-Egger method accommodates the presence of horizontal pleiotropy from genetic variants, provided that it is uncorrelated with the instrument–exposure correlation (19). The weighted median-based MR approach remains unbiased as long as at least half of the instrumental variables are non-pleiotropic (20). The mode-based approaches cluster similar variants and derive estimates based on the specific aggregation with the highest number of SNPs (21). We have opted to endorse the IVW method among these approaches, as it conducts a meta-analysis of the Wald ratio across all instrumental SNPs (22). Meanwhile, if the results from the remaining four methods are consistent with those generated by IVW, they can be employed to supplement IVW estimates.

Once causality is established, heterogeneity and pleiotropy tests are required to confirm the findings’ reliability. The estimate is non-heterogenetic if the P-value from Cochran’s Q test exceeds 0.05. MR-Egger intercept test (P-value threshold of 0.05) and leave-one-out plot are utilized to verify the presence of horizontal pleiotropy. Additionally, a funnel plot evaluates if directional pleiotropy is presented. To reinforce the credibility of our results, we employed an online calculator to assess the power of MR analyses (https://sb452.shinyapps.io/power/).

2.4 Function exploration of mediator genes

We curated and consolidated mediator instruments that establish a connection between IBD and the cerebral cortex. Open Targets Genetics (https://genetics.opentargets.org/) is a variant-centric tool that integrates functional genomics data and quantitative trait loci from multiple heterogeneous sources to generate overall variant-to-gene (V2G) scores, which enables us to prioritize candidate genes. Genes with the highest overall V2G scores were selected and annotated using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Those pathways with less than five genes and more than 500 genes should be removed before the enrichment analysis.

Using bioinformatics approaches, we further established interaction networks and tracked hub nodes that regulate other genes in various physiological processes. These efforts were valuable in detecting shared loci with the cerebral cortex in several loci confirmed to be associated with IBD, thereby providing fresh insights into targeted therapies.

2.5 Statistical analysis

R studio (version 4.1.2) was utilized for conducting MR analyses and function annotation. The TwoSampleMR package (version 0.5.6) was employed for the MR analysis, while org.Hs.eg.db (version 3.16.0) and clusterProfiler (version 4.2.2) packages were used for species annotation and subsequent pathway enrichment.

To address the issue of repeated calculations within the same datasets, we implemented the Benjamini–Hochberg procedure to control the false discovery rate (FDR). Significant estimates were those with a P-value < 0.05 and an FDR-adjusted P-value < 0.1. We considered results with a P-value < 0.05 but an FDR-adjusted P-value > 0.1 to be suggestive in nature.

Protein–protein interactions were investigated using STRING (Search Tool for the Retrieval of Interacting Genes), a database of known and predicted interactions between proteins. The complex networks were visualized and integrated with Cytoscape (version 3.9.1), while candidate genes were ranked based on their degree centrality values calculated by the cytoHubba plugin. Hub genes were defined as those with the top 10 highest degree values.

3 Results

3.1 IBD causally affects brain cortical structure

We obtained robust instruments with average F-values surpassing 300 as genetic substitutes for IBD, UC, and CD. We then utilized PhenoScanner to detect and eliminate genetic variants shared with confounders. Ultimately, we employed 115, 69, and 98 SNPs to genetically predict IBD, UC, and CD (Supplementary Tables S3-S5). An outlier SNP, rs72924296, was excluded before estimating the causality between IBD and the globally adjusted TH of the postcentral gyrus. No outliers were detected in other phenotypic pairs. Details of SNPs used in every MR analysis are presented in Supplementary Table S6.

Figure 2 shows 12 significant and suggestive IVW-derived estimates. Following FDR correction, we realized that CD significantly decreased the globally adjusted SA of the temporal pole gyrus (β = −0.946 mm2, P = 0.005, FDR-P = 0.085). We have also identified 11 suggestive findings indicating regionally cortical variations induced by chronic colitis with IVW-derived P-values < 0.05. In terms of the affected areas, we observed that the SA was reduced in three functional gyri (inferior parietal, inferior temporal, and temporal pole) as well as a variably changed TH in the frontal pole, postcentral, caudal middle frontal, lateral orbitofrontal, and superior frontal (Figure 3). Our research findings showed that IBD and CD tended to promote changes in the SA and TH across distinct brain regions, whereas UC primarily affected the inferior parietal lobe by diminishing its SA. Supplementary Figure S1 presents scatter plots illustrating the causal relationships.

FIGURE 2
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Figure 2 Presentation of IVW estimates derived from the IBD–cortex relationship. The color of each block represents the IVW-produced beta values, and the 12 numbers printed on the blocks are IVW-generated P-values. IVW, inverse-variance weighted; IBD, inflammatory bowel disease; UC, ulcerative colitis; CD, Crohn’s disease; SA, surface area; TH, thickness.

FIGURE 3
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Figure 3 Details of causality between 12 phenotype pairs. IVW estimates from significant and suggestive causality between IBD, UC, and CD and regionally cortical SA and TH. IVW, inverse-variance weighted; IBD, inflammatory bowel disease; UC, ulcerative colitis; CD, Crohn’s disease; SA, surface area; TH, thickness; CI, confidence interval; FDR, false discovery rate.

Due to regional interactions, the structural variations of the entire cortex triggered by IBD, UC, and CD were found to be offset. No genetic evidence supported a causal relationship between IBD and the total SA or the average TH (βSA = 27.885 mm2, PSA = 0.810; βTH = 1.793 × 10−4 mm, PTH = 0.846). Genetic analyses suggested that neither UC nor CD had significant effects on the global SA and TH measurements (βSA = −140.892 mm2, PSA = 0.387 for UC; βTH = 5.812 × 10−5 mm, PTH = 0.953 for UC; βSA = −40.268 mm2, PSA = 0.715 for CD; βTH = −0.001 mm, PTH = 0.428 for CD).

All MR-Egger intercept P-values exceeding 0.05 and nearly deviation-free leave-one-out plots indicated that horizontal pleiotropy was effectively controlled, providing evidence for a direct causal relationship between the gut and the cerebral cortex (Supplementary Figure S2). We observed heterogeneity in the causal effects of IBD and CD on the postcentral and superior frontal gyri (Supplementary Table S7), which was deemed acceptable given the use of a random-effects model. Visually symmetric funnel plots provided evidence against directional pleiotropy (Supplementary Figure S3) (23). The power of MR analyses in different pairs was 100% at an alpha rate of 5%.

3.2 Genetic architecture mediating the causal effects of IBD

We identified dominant instrumental loci in IBD–cortex causality and mapped them to the gene database. The distribution of 1,126 instruments is shown in detail in Supplementary Figure S4. After removing duplicates, we finally matched 195 independent SNPs to 140 independent genes with the highest V2G scores (Supplementary Table S8).

GO biological process analysis indicated that these mediators were mainly concentrated in “mononuclear cell differentiation,” “regulation of T cell activation,” “lymphocyte differentiation,” “regulation of leukocyte cell-cell adhesion,” and “leukocyte cell-cell adhesion” (Figures 4A, B). In GO cellular component analysis, causal genes were particularly enriched in “RNA polymerase II transcription regulator complex,” “interleukin-23 receptor complex,” “heteromeric SMAD protein complex,” “SMAD protein complex,” and “presynaptic cytosol.” Regarding GO molecular function analysis, the top 5 significantly enriched terms were “cytokine receptor binding,” “DNA-binding transcription factor binding,” “RNA polymerase II-specific DNA-binding transcription factor binding,” “DNA-binding transcription repressor activity,” and “cytokine receptor activity.” The critical KEGG-enriched pathways were “Th17 cell differentiation,” “Th1 and Th2 cell differentiation,” “Cytokine−cytokine receptor interaction,” “Inflammatory bowel disease,” and “Hepatitis B” (Figures 4C, D).

FIGURE 4
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Figure 4 The biological functions of mediator genes. (A, B) The top 15 GO terms are presented in three categories: BP, CC, and MF. (C, D) The top 15 KEGG-enriched pathways are demonstrated. GO-term and KEGG-pathway enrichment analysis was conducted based on overrepresentation analysis, while the background gene list was the entire human genome. GO, Gene Ontology; BP, biological process; CC, cellular component; MF, molecular function; KEGG, Kyoto Encyclopedia of Genes and Genomes.

The interaction networks demonstrated interconnections among the variant-associated genes (Figure 5A). Degree centrality values were calculated (Figure 5B), and the hub genes identified were STAT3, FOS, NFKB1, JAK2, STAT4, TYK2, SMAD3, IL12B, MYC, and CCL2 (Figure 5C). The shared genetic architecture between IBD and the cerebral cortex was implicated in cytokine regulation and interaction, immune cell differentiation and activation, and immune response modulation.

FIGURE 5
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Figure 5 Interactions of mediator genes and hub gene identification. (A) Interaction network of target genes was constructed using the STRING database. (B) After excluding the isolated genes, other genes are ranked based on degree values and listed in descending order of importance, reflected in circle size and color shade, from red to orange to yellow. (C) Genes with the top 20 highest degree values are listed, of which hub genes are STAT3, FOS, NFKB1, JAK2, STAT4, TYK2, SMAD3, IL12B, MYC, and CCL2. STRING, Search Tool for the Retrieval of Interacting Genes.

4 Discussion

Despite the high stability and heritability of structural parameters during cortical development, multiple genetic and environmental factors likely influence the postnatal remodeling of the cerebral cortex. In our study, we utilized genetic variants obtained from large-scale GWAS datasets to disclose the promoting impact of IBD, UC, and CD on the altered cortical SA and TH. This ongoing project elucidates the regionally specific morphological changes of the human brain induced by IBD, UC, and CD and their underlying mechanisms using MR and bioinformatics approaches. This research provides a theoretical foundation for comprehending the higher prevalence of neuropsychiatric disorders and enriches our knowledge of the gut–brain axis.

MR estimates suggest that CD significantly reduces the SA of the temporal pole, a region long associated with socioemotional function. We have also identified a potentially decreased SA of the inferior parietal lobe in individuals with IBD, UC, and CD. It is reported that anomalies in the anatomical structure of the temporal pole can lead to unstable mood states (24). The inferior parietal lobe is known to play a crucial role in attention, language, and social functioning, serving as a central neural substrate for various cognitive operations (25). General cognitive ability is positively associated with an expanded SA of the evolutionary inferior parietal region (26), while a decreased cortical SA indicates a higher susceptibility to neuropsychiatric conditions (2729). Our findings have shed light on the role of cortical reshaping in neuropsychiatric disorders induced by intestinal inflammation, encouraging the clinical utility of brain MRI. However, a previous observation has shown that a thinner TH of the inferior parietal cortex was observed in populations at greater risk of psychosis rather than a diminished SA (30). This phenomenon may be attributed to a heterogeneous population without definitive psychiatric diagnoses.

The theory of radial units posits that increased cell number resulting from neurogenic divisions is responsible for cortical TH growth (31). We found that IBD thickened the postcentral cortex, which seems complicated to understand, since the region is traditionally known as a crucial somatosensory cortex perceiving general bodily rather than visceral sensations (32). The postcentral cortex is believed to contain a visceral information region in rats (33). Furthermore, visceral perception has been confirmed to be directly relevant to regional activity and information flow around the postcentral gyrus (34). Therefore, visceral perception seems structurally or functionally relevant to the postcentral gyrus. We then hypothesize that prolonged mucosal inflammation in patients with IBD may lead to enhanced sensory input from the viscera, further activating neurogenic divisions and thickening the postcentral gyrus. Compared with patients with irritable bowel syndrome and healthy controls, the TH of the postcentral was considerably increased and positively associated with symptom duration in patients with colitis, thus supporting our proposed hypotheses (35). Meanwhile, we assume that a thickened postcentral may not be the primary cause of neuropsychiatric disorders in IBD patients as what constitutes the underlying pathophysiological mechanisms of cognitive impairment is its thinning structure (36). Further investigations are required to determine whether changes in specific cortices, such as the inferior parietal and postcentral regions, are implicated in psychosis triggered by chronic colitis.

Genetic overlap between IBD and the cerebral cortex accounts for alterations in cortical structure. A significant portion (40%) of identified hub genes were enriched in the Janus kinase-signal transducer and activator of transcription (JAK-STAT) signaling pathway, which is known to disrupt intestinal homeostasis and contribute to the development of IBD by generating multiple cytokines (37). In the brain, the aberrantly activated JAK-STAT pathway regulates pro-inflammatory gene transcription and elicits neuroinflammation (38). We propose that neuroinflammation, triggered by the JAK-STAT pathway, is a crucial agent responsible for the observed causality. Chronic gut inflammation resulting from mucosal immunity promotes the translocation of inflammatory mediators from peripheral tissues to the central nervous system, where neuroglial cells are recruited and induce neuroinflammation (39, 40). Neuroinflammation, in turn, significantly downregulates the expression of brain-derived neurotrophic factors, leading to neuronal degeneration, apoptosis, and dystrophy, ultimately resulting in altered cortical structure (41). The identification of FOS and NFKB1 in the interaction network supports our assumptions. As an immediate early gene, the expression of FOS indicates neuronal activation to multiple stimuli (42), which has also been confirmed as a master regulator of autoimmunity and inflammation in the central nervous system (43). Given that NFKB1 fuels neuroinflammation (44), its presence emphasizes the role of neuroinflammation in cortical morphology changes.

Other genetic loci in the gene network offer novel insights into mechanisms of cortical alterations. Genes such as CEBPB, PTPN2, and NFATC1 exert neuroprotective effects by alleviating inflammatory responses and facilitating neurological function repair (4547). PDGFB is a protein-encoding gene responsible for maintaining the integrity of the blood–brain barrier by activating pericytes, and its mutation facilitates the neuroinflammatory cascade in the brain (48). Additionally, mutant PDGFB has been associated with a neurodegenerative condition characterized by extensive calcification of brain areas, including the cerebral cortex (49).

This study innovatively adopted a combination of MR analysis, functional enrichment, and protein–protein interaction network to investigate the correlation between IBD and the human cortex, offering novel insights into IBD-induced brain dysfunction. Due to the differential formation pattern of UC and CD, we have implemented genetic instruments that independently predicted IBD, UC, and CD, yielding more precise estimates. The most effective genetic instruments correlated with exposure events with F-statistics over 10 were selected, and we avoided disruptions from possible confounders in every causal analysis. These considerations ensure the robustness and reliability of the MR estimates presented in the study.

However, several limitations should be acknowledged. Firstly, due to the utilization of summary statistics, stratified discussions based on age, sex, disease activity, and subjective perception score were not feasible. Secondly, target genes can only be qualitatively analyzed due to the lack of expression data, thereby impeding measuring their upregulation and downregulation within the pathways. Finally, this study focused on individuals of European heritage; therefore, our observations could be more conclusive if supplemented with large-scale studies on individuals from diverse ethnic backgrounds.

5 Conclusion

By utilizing GWAS summary statistics, we have shed light on the causality between intestinal inflammation and altered cortical morphology, thereby facilitating the application of brain MRI in patients with IBD. Bioinformatics analyses showed that neuroinflammation-induced neuronal damage and impaired neurological repair likely trigger cortical atrophy, whereas continuous nociceptive input increases cortical TH. Further studies on the causality between IBD and cortex as well as disease-associated mechanisms are necessary for future advancement.

Data availability statement

All data are publicly available. The summarized inflammatory bowel disease data adopted in this paper are available from the GWAS Catalog (https://www.ebi.ac.uk/gwas/summary-statistics). The meta-analytic brain structure data presented in this paper are available from the ENIGMA consortium website (http://enigma.ini.usc.edu/research/download-enigma-gwas-results). Operation codes of two-sample MR could be obtained from the corresponding author upon a reasonable request.

Ethics statement

Our study only extracted GWAS summary statistics from published studies, which were also publicly accessible. No extra ethical approval or informed consent was required.

Author contributions

Research conception and design: YO, SH, and YP. Data collection and analysis: SH and YP. Figure and table production: SH, YP, and XC. Data verification: YO and XC. First drafting of article: SH and YP. All authors have revised the article and approved the submission

Funding

This study is supported by grants from the Natural Science Youth Foundation Project of Southwest Medical University (2022QN032).

Acknowledgments

We thank the medical members who have contributed to this study. We thank the participants and investigators of the International IBD Genetics Consortium and the ENIGMA Consortium.

Conflict of interest

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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2023.1175873/full#supplementary-material

Abbreviations

IBD, inflammatory bowel disease; UC, ulcerative colitis; CD, Crohn’s disease; MR, Mendelian randomization; GWAS, genome-wide association study; MRI, magnetic resonance imaging; SA, surface area; TH, thickness; SNP, single nucleotide polymorphism; IVW, inverse-variance weighted; V2G, variant-to-gene; GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; FDR, false discovery rate; JAK-STAT, Janus kinase-signal transducer and activator of transcription.

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Keywords: inflammatory bowel disease, cerebral cortex, causality, Mendelian randomization, integrated bioinformatics

Citation: He S, Peng Y, Chen X and Ou Y (2023) Causality between inflammatory bowel disease and the cerebral cortex: insights from Mendelian randomization and integrated bioinformatics analysis. Front. Immunol. 14:1175873. doi: 10.3389/fimmu.2023.1175873

Received: 28 February 2023; Accepted: 06 July 2023;
Published: 27 July 2023.

Edited by:

Jose Garrido-Mesa, King’s College London, United Kingdom

Reviewed by:

Zhenqiu Huang, Albert Einstein College of Medicine, United States
Haritz Irizar, Icahn School of Medicine at Mount Sinai, United States

Copyright © 2023 He, Peng, Chen and Ou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ying Ou, eWluZy1vdUBzd211LmVkdS5jbg==

These authors have contributed equally to this work and share first authorship

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