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Fecal sulfatide as a non-invasive biomarker for predicting coronary heart disease
Rui Hu1, Yihan Li2, Kefan Xue2
1Clinical Laboratory, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, chinese academy of medical scie, Beijing, China.
Insights
Fecal sulfatide levels are significantly higher in patients with coronary heart disease (CHD). This novel, non-invasive biomarker shows strong potential for early CHD prediction and risk stratification.
Area of Science:
- Biochemistry
- Cardiovascular Medicine
- Biomarker Discovery
Background:
- Coronary heart disease (CHD) poses a significant global health burden.
- Early detection and risk stratification are crucial for effective CHD management.
- Non-invasive biomarkers are highly sought after for improved diagnostic strategies.
Purpose of the Study:
- To investigate fecal sulfatide levels as a potential non-invasive biomarker for predicting coronary heart disease.
- To compare fecal sulfatide levels across different CHD patient groups and healthy controls.
- To assess the independent risk factor status and predictive value of fecal sulfatide for CHD.
Main Methods:
- A retrospective study involving 593 CHD patients (acute myocardial infarction, unstable angina pectoris, stable angina pectoris) and 200 healthy controls.
- Comparison of fecal sulfatide levels among the groups.
- Binary logistic regression and multivariate logistic regression analyses to determine the correlation and independent risk factor status.
- Receiver operating characteristic (ROC) curve analysis to evaluate predictive value.
Main Results:
- Significant differences in demographic and clinical characteristics were observed between CHD patients and controls.
- Fecal sulfatide levels were significantly elevated in all CHD groups compared to controls.
- Fecal sulfatide levels were highest in the acute myocardial infarction group.
- Fecal sulfatide was identified as an independent risk factor for CHD with strong predictive value (AUC = 0.893).
Conclusions:
- Fecal sulfatide emerges as a promising novel, non-invasive biomarker for the early prediction and risk stratification of coronary heart disease.
- The findings suggest potential clinical utility in identifying individuals at risk for CHD.
- Further large-scale, multi-center prospective studies are warranted to validate these findings and confirm generalizability.
Objectives:
The study aimed to investigate a non-invasive biomarker for predicting coronary heart disease by analyzing fecal sulfatide levels.
Methods:
A retrospective study was conducted on 593 patients with coronary heart disease, divided into acute myocardial infarction (AMI), unstable angina pectoris (UAP), and stable angina pectoris groups (SAP), and a control group of 200 healthy adults. General information was collected for analysis, and fecal sulfatide levels were compared among groups. Binary logistic regression analysis assessed the correlation between fecal sulfatide levels and coronary heart disease. Statistical analyses were performed to evaluate the risk factors, and predictive value was assessed using receiver operating characteristic (ROC) curves.
Results:
Statistically significant differences were observed in the characteristics of age, complete blood cell count, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol between the group of patients with coronary heart disease and the control group (P < 0.05). Noteworthy, fecal sulfatide levels were notably higher in coronary heart disease groups. Furthermore, fecal sulfatide levels in AMI group significantly exceeded those in SAP and UAP groups (P < 0.05). Multivariate logistic regression analysis identified fecal sulfatide as an independent risk factor for coronary heart disease, with an area under the ROC curve of 0.893 (95% CI 0.869, 0.921), indicating strong predictive value.
Conclusions:
Fecal sulfatide may serve as a novel, non-invasive biomarker for early coronary heart disease prediction and risk stratification. However, the retrospective and single-center design of this study limits the generalizability of the results, and future large-scale, multi-center prospective studies are needed to validate these findings.
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