Evidence mapPaperPMID 42185404Full record

ArticleScientific reports2026

Distinct psychophysiological biomarkers and risk stratification models for irritable bowel syndrome with constipation (IBS-C) and diarrhea (IBS-D).

Xiaoqing Chen, Yujing Wang, Yanhong Hou, Lin Zhang, Kai Wu, Chao Wang

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Xiaoqing Chen *Hebei North University, Zhangjiakou, 075000, Hebei, China.
Yujing Wang *Department of Medical Psychology, The eighth medical center, PLA general hospital, Beijing, 100091, China.
Yanhong HouDepartment of Medical Psychology, The eighth medical center, PLA general hospital, Beijing, 100091, China. houyan211@sina.com.
Lin ZhangDepartment of gastroenterology, The eighth medical center, PLA general hospital, Beijing, 100091, China. stepinghuns2@163.com.
Kai WuDepartment of gastroenterology, The eighth medical center, PLA general hospital, Beijing, 100091, China.
Chao WangDepartment of gastroenterology, The eighth medical center, PLA general hospital, Beijing, 100091, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Irritable bowel syndrome (IBS) is a prevalent disorder of gut-brain interaction (DGBI) with a complex, multifactorial pathogenesis. Emerging evidence underscores the significant role of psychosocial factors; however, comprehensive models integrating multidimensional psychophysiological biomarkers to predict IBS subtypes often lack validation in this highly heterogeneous population. To evaluate the value of a psychophysiological multimodal approach in identifying predictive signatures for irritable bowel syndrome with constipation (IBS-C) and diarrhea (IBS-D). In this cross-sectional study, 80 IBS-C patients, 80 IBS-D patients, and 80 healthy controls were included. Assessments included eye-tracking (cognitive-emotional interaction), heart rate variability (autonomic function), psychological scales (SCL-90, SCSQ, EPQ), and the Pittsburgh Sleep Quality Index (PSQI). Multivariable logistic regression and ROC analyses were utilized to identify predictors and evaluate internal model performance. Shared predictive factors for both subtypes included the SCL-90 hostility factor, EPQ neuroticism, negative coping, and global PSQI score (all P < 0.05). IBS-C was specifically associated with hostility and neuroticism, whereas IBS-D was distinctively predicted by prolonged prosaccade latency, reduced HRV medium-frequency power, and a lack of positive coping. The models demonstrated strong internal discrimination, with AUCs up to 0.983 for IBS-C and 0.967 for IBS-D. Psychosocial factors and sleep disturbances are robust shared predictive risk factors for IBS-C and IBS-D. Furthermore, multimodal profiling reveals subtype-specific predictive signatures: prominent emotional reactivity in IBS-C, and altered sensory-autonomic integration in IBS-D. These findings underscore the associative heterogeneity of IBS and highlight the potential utility of psychophysiologically targeted interventions.

Indexed as

ConstipationDiarrheaIrritable Bowel SyndromeAdultBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk AssessmentBiomarkersEye-Tracking TechnologyIrritable Bowel SyndromeLogistic ModelsPsychophysiologyROC Curve

Identifiers

PMID42185404
PMCPMC13434587

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.