IDDF2024-ABS-0279 Inter-relationship between pathological mechanisms in functional dyspepsia: insights from systematic clustering and correlation analysis

<h3>Background</h3> Multiple pathophysiologies were proposed for functional dyspepsia (FD), including mucosal microinflammation, barrier dysfunction, visceral hypersensitivity, and psychological factors. However, none of the studies has explored the relationship between mechanisms. This study aimed to identify FD subclusters with different pathophysiologies and investigate the interrelationship between different mechanisms. <h3>Methods</h3> A total of 57 FD patients who met the Rome IV criteria and 10 healthy controls (HCs) were included. Symptom and psychological evaluations were fulfilled at baseline. The biopsies of gastric fundus and duodenum were taken for histological analysis. Histological indices of inflammation (count of eosinophil, mast cells (MC)), barrier function (Claudin 2 (CLDN2), Occulin (OCLN) and Zonula occluden-1 (ZO-1)), visceral hypersensitivity (5-HT-positive cells, 5-HT receptors (5-HT1AR and 5-HT3R), nociceptors transient receptor potential vanilloid 1 (TRPV1), transient receptor potential vanilloid 4 (TRPV4) and acid-sensing ion channel 1 (ASIC1)) were analyzed. Unsupervised cluster analysis was used to identify potential FD subclusters, and explore the coexistence or exclusive relationship between mechanisms. <h3>Results</h3> Gastroduodenal microinflammation, altered visceral hypersensitivity, barrier dysfunction and higher psychological burden were observed in FD patients as compared to HC groups. Systematic clustering categorized FD patients into 3 subclusters: cluster 1 (n=32, 56.1%, IDDF2024-ABS-0279 Figure 1 (A)) was characterized by impaired barrier function but normal visceral sensitivity; Cluster 2 (n=7, 12.3%, IDDF2024-ABS-0279 Figure 1 (B)) by higher symptom burden, along with barrier dysfunction and altered visceral hypersensitivity; and cluster 3 (n=18, 31.6%, IDDF2024-ABS-0279 Figure 1 (C)) by increased mast cell infiltration, but normal barrier function and sensitivity. Correlation analysis showed a significant correlation in histological indices between visceral hypersensitivity and barrier function, while microinflammation was a relatively independent pathologic mechanism (IDDF2024-ABS-0279 Figure 2). <h3>Conclusions</h3> Three different subclusters with different pathological mechanisms were identified in FD. Visceral hypersensitivity and barrier dysfunction might coexist and contribute to a higher symptom burden, while microinflammation was an independent pathological factor for FD.

Authors

Institutions

Publication Details

Journal
Clinical Gastroenterology
Published
2024-08-01
DOI
https://doi.org/10.1136/gutjnl-2024-iddf.293
Primary Topic
Nutrition, Genetics, and 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-0279 Inter-relationship between pathological mechanisms in functional dyspepsia: insights from systematic clustering and correlation analysis

Xinran Jiang, Qianjun Zhuang, Niandi Tan, Zhanye Zhang et al.
Clinical Gastroenterology
Nutrition, Genetics, and Disease
article

IDDF2024-ABS-0279 Inter-relationship between pathological mechanisms in functional dyspepsia: insights from systematic clustering and correlation analysis

Xinran Jiang, Qianjun Zhuang, Niandi Tan, Zhanye Zhang, Fangfei Chen, Mengyu Zhang, Yinglian Xiao, Xingyu Jia, Songfeng Chen, Junnan Hu
article en

Abstract

<h3>Background</h3> Multiple pathophysiologies were proposed for functional dyspepsia (FD), including mucosal microinflammation, barrier dysfunction, visceral hypersensitivity, and psychological factors. However, none of the studies has explored the relationship between mechanisms. This study aimed to identify FD subclusters with different pathophysiologies and investigate the interrelationship between different mechanisms. <h3>Methods</h3> A total of 57 FD patients who met the Rome IV criteria and 10 healthy controls (HCs) were included. Symptom and psychological evaluations were fulfilled at baseline. The biopsies of gastric fundus and duodenum were taken for histological analysis. Histological indices of inflammation (count of eosinophil, mast cells (MC)), barrier function (Claudin 2 (CLDN2), Occulin (OCLN) and Zonula occluden-1 (ZO-1)), visceral hypersensitivity (5-HT-positive cells, 5-HT receptors (5-HT1AR and 5-HT3R), nociceptors transient receptor potential vanilloid 1 (TRPV1), transient receptor potential vanilloid 4 (TRPV4) and acid-sensing ion channel 1 (ASIC1)) were analyzed. Unsupervised cluster analysis was used to identify potential FD subclusters, and explore the coexistence or exclusive relationship between mechanisms. <h3>Results</h3> Gastroduodenal microinflammation, altered visceral hypersensitivity, barrier dysfunction and higher psychological burden were observed in FD patients as compared to HC groups. Systematic clustering categorized FD patients into 3 subclusters: cluster 1 (n=32, 56.1%, IDDF2024-ABS-0279 Figure 1 (A)) was characterized by impaired barrier function but normal visceral sensitivity; Cluster 2 (n=7, 12.3%, IDDF2024-ABS-0279 Figure 1 (B)) by higher symptom burden, along with barrier dysfunction and altered visceral hypersensitivity; and cluster 3 (n=18, 31.6%, IDDF2024-ABS-0279 Figure 1 (C)) by increased mast cell infiltration, but normal barrier function and sensitivity. Correlation analysis showed a significant correlation in histological indices between visceral hypersensitivity and barrier function, while microinflammation was a relatively independent pathologic mechanism (IDDF2024-ABS-0279 Figure 2). <h3>Conclusions</h3> Three different subclusters with different pathological mechanisms were identified in FD. Visceral hypersensitivity and barrier dysfunction might coexist and contribute to a higher symptom burden, while microinflammation was an independent pathological factor for FD.

Clinical Gastroenterology
Sun Yat-sen University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN)
Openalex Percentile: Top 43%
Nutrition, Genetics, and 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.