Serum protein profile study of myocardial infarction using a LED induced fluorescence based HPLC system

•Performance of UV-LED based Fluorescence detection system for HPLC is evaluated. Limits of detection of proteins are shown to be in the nanomolar range.•Protein profile of serum samples of Myocardial Infarction (MI) patients were recorded using the HPLC-LED-IF system.•Serum protein profile analysis...

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Published in:Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Analytical technologies in the biomedical and life sciences, 2023-02, Vol.1217, p.123616-123616, Article 123616
Main Authors: John, Reena V., Devasia, Tom, Adigal, Sphurti S, Lukose, Jijo, Kartha, V.B., Chidangil, Santhosh
Format: Article
Language:English
Subjects:
Diagnosis
High Performance Liquid Chromatography
LED- Induced Fluorescence
Myocardial Infarction
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Summary:•Performance of UV-LED based Fluorescence detection system for HPLC is evaluated. Limits of detection of proteins are shown to be in the nanomolar range.•Protein profile of serum samples of Myocardial Infarction (MI) patients were recorded using the HPLC-LED-IF system.•Serum protein profile analysis demonstrated good discrimination between the serum samples of MI before treatment, after the treatment, and normal subjects. Cardiovascular diseases (CVDs) are the major health conditions for high mortality and morbidity in humans. Delay in the diagnosis of CVDs effect patients long and short-term health condition. In -house assembled UV-light emitting diode (LED) based fluorescence detector for high -performance liquid chromatography (HPLC) (HPLC-LED-IF) system is used to record serum chromatograms of three categories of samples namely, before medicated- myocardial infarction (B-MI), after medicated- MI (A-MI), and normal. The sensitivity and performance of HPLC-LED-IF system is estimated using commercial serum proteins. Statistical analysis tools like, descriptive statistics, principal component analysis (PCA), and Match/ No Match test were applied to visualize the variation in three groups of samples. Statistical analysis of the protein profile data showed fairly good discrimination among the three categories. The receiver operating characteristic (ROC) curve also supported the reliability of the method to diagnose MI.
ISSN:1570-0232
1873-376X
DOI:10.1016/j.jchromb.2023.123616