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Li F, Zhao Q, Tang T, Liu Y, Wang Z, Wang Z, Han X, Xu Z, Chang Y, Li Y. Brain imaging derived phenotypes: a biomarker for the onset of inflammatory bowel disease and a potential mediator of mental complications. Front Immunol 2024; 15:1359540. [PMID: 38469291 PMCID: PMC10925669 DOI: 10.3389/fimmu.2024.1359540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 02/14/2024] [Indexed: 03/13/2024] Open
Abstract
Background and aims Inflammatory bowel disease (IBD), mainly categorized into Crohn's disease (CD) and ulcerative colitis (UC), is a chronic relapsing gastrointestinal disorder that significantly impairs patients' quality of life. IBD patients often experience comorbidities such as anxiety and depression, and the underlying mechanisms and treatment strategies remain areas of investigation. Methods We conducted a Mendelian randomization(MR) analysis utilizing brain image derived phenotypes (IDP) from the UK Biobank database to investigate the causal relationships between IBD and alterations in brain structural morphology and connectivity of neural tracts. This study aimed to identify biological evidence linking IBD to psychiatric disorders such as anxiety and depression. Results Specifically, the volume of grey matter in the Left Frontal Orbital Cortex exhibited a negative association with the onset of Crohn's disease (odds ratio (OR) [95% confidence interval (CI)]: 0.315[0.180~0.551], adjusted P=0.001), while the volume of the superior frontal cortex in the right hemisphere showed a positive correlation with the development of Ulcerative colitis (OR [95% CI]: 2.285[1.793~2.911], adjusted P<0.001), and the volume of lateral occipital cortex in the left hemisphere demonstrated a positive relationship with Crohn's disease onset (OR [95% CI]: 1.709[1.671~1.747], adjusted P<0.001). In the context of reverse causality, the onset of UC or CD has led to alterations in imaging derived phenotypes associated with five disorders (anxiety, depression, schizophrenia, bipolar disorder, pain) and three functions (memory, emotion, language). Conclusion Our study has demonstrated a causal relationship between IBD and IDPs. IDPs may serve as potential biomarkers for the progression of IBD and as predictive intermediaries for the development of neurological diseases in IBD patients.
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Affiliation(s)
- Fan Li
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Qi Zhao
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Tongyu Tang
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
| | - Yuyuan Liu
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Zhaodi Wang
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Zhi Wang
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Xiaoping Han
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Zifeng Xu
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Yu Chang
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
- Norman Bethune Health Science Center, Jilin University, Changchun, China
| | - Yuqin Li
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
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Han Q, Xiao X, Wang S, Qin W, Yu C, Liang M. Characterization of the effects of outliers on ComBat harmonization for removing inter-site data heterogeneity in multisite neuroimaging studies. Front Neurosci 2023; 17:1146175. [PMID: 37304022 PMCID: PMC10249749 DOI: 10.3389/fnins.2023.1146175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 05/10/2023] [Indexed: 06/13/2023] Open
Abstract
Data harmonization is a key step widely used in multisite neuroimaging studies to remove inter-site heterogeneity of data distribution. However, data harmonization may even introduce additional inter-site differences in neuroimaging data if outliers are present in the data of one or more sites. It remains unclear how the presence of outliers could affect the effectiveness of data harmonization and consequently the results of analyses using harmonized data. To address this question, we generated a normal simulation dataset without outliers and a series of simulation datasets with outliers of varying properties (e.g., outlier location, outlier quantity, and outlier score) based on a real large-sample neuroimaging dataset. We first verified the effectiveness of the most commonly used ComBat harmonization method in the removal of inter-site heterogeneity using the normal simulation data, and then characterized the effects of outliers on the effectiveness of ComBat harmonization and on the results of association analyses between brain imaging-derived phenotypes and a simulated behavioral variable using the simulation datasets with outliers. We found that, although ComBat harmonization effectively removed the inter-site heterogeneity in multisite data and consequently improved the detection of the true brain-behavior relationships, the presence of outliers could damage severely the effectiveness of ComBat harmonization in the removal of data heterogeneity or even introduce extra heterogeneity in the data. Moreover, we found that the effects of outliers on the improvement of the detection of brain-behavior associations by ComBat harmonization were dependent on how such associations were assessed (i.e., by Pearson correlation or Spearman correlation), and on the outlier location, quantity, and outlier score. These findings help us better understand the influences of outliers on data harmonization and highlight the importance of detecting and removing outliers prior to data harmonization in multisite neuroimaging studies.
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Affiliation(s)
- Qichao Han
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Xiaoxiao Xiao
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Sijia Wang
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Chunshui Yu
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Meng Liang
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
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