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Published on: October 7, 2021
Blood bile acid profiles in chronic inflammatory demyelinating polyneuropathy
Chun-Wei Chang1, Mei-Ling Cheng2, Chiung-Mei Chen1
1Section of Neuromuscular Diseases, Department of Neurology, Chang Gung Memorial Hospital-Linkou Medical Center, Taoyuan City, Taiwan; Center of Neuroimmunological and Rare Diseases, Chang Gung Memorial Hospital-Linkou Medical Center, Taoyuan City, Taiwan.
Bile acid profiles show promise as novel biomarkers for diagnosing chronic inflammatory demyelinating polyneuropathy (CIDP). This research identifies specific bile acids that can help differentiate CIDP patients from healthy individuals and those with Guillain-Barré syndrome (GBS).
Area of Science:
- Biochemistry
- Immunology
- Neurology
Background:
- Chronic inflammatory demyelinating polyneuropathy (CIDP) is an immune-mediated neuropathy lacking specific diagnostic blood biomarkers.
- Bile acids (BA), known for immune-modulatory properties, are investigated as potential novel markers.
- Early diagnosis and monitoring of CIDP require improved diagnostic tools.
Purpose of the Study:
- To investigate plasma bile acid profiles in patients with CIDP.
- To evaluate the potential of bile acid profiles as diagnostic biomarkers for CIDP.
- To differentiate CIDP from Guillain-Barré syndrome (GBS) and healthy controls (HCs) using bile acid profiles.
Main Methods:
- Plasma bile acid profiles were analyzed in treatment-naïve CIDP patients, GBS patients, and HCs using liquid chromatography-mass spectrometry.
- A supervised machine learning model (support vector machine) was employed to assess discriminatory power.
- A simplified tree-based algorithm was developed using key bile acid features for classification.
Main Results:
- CIDP patients exhibited significantly elevated levels of glycochenodeoxycholic acid (GCDCA) and glycohyocholic acid (GHCA) compared to HCs.
- Elevated GCDCA and cholenic acid levels were observed in CIDP patients compared to GBS patients.
- Machine learning models, particularly a simplified tree-based algorithm, demonstrated high accuracy (AUROC: 0.929) in differentiating CIDP, GBS, and HCs based on BA profiles.
Conclusions:
- Plasma bile acid profiles hold significant potential as diagnostic biomarkers for CIDP.
- These findings suggest that bile acid analysis can aid in precise and timely patient management for CIDP.
- Further research into bile acid profiles may lead to improved diagnostic strategies for immune-mediated neuropathies.
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