Plasma Metabolic Profile Determination in Young ST-segment Elevation Myocardial Infarction Patients with Ischemia and Reperfusion: Ultra-performance Liquid Chromatography and Mass Spectrometry for Pathway Analysis

Overview

Journal Chin Med J (Engl)

Specialty General Medicine

Date 2016 Apr 22

PMID 27098794

Citations 13

Authors

Lei Huang

Tong Li

Ying-Wu Liu

Lei Zhang

Zhi-Huan Dong

Shu-Ye Liu

Ying-Tang Gao

Affiliations

Soon will be listed here.

Abstract

Background: This study was to establish a disease differentiation model for ST-segment elevation myocardial infarction (STEMI) youth patients experiencing ischemia and reperfusion via ultra-performance liquid chromatography and mass spectrometry (UPLC/MS) platform, which searches for closely related characteristic metabolites and metabolic pathways to evaluate their predictive value in the prognosis after discharge.

Methods: Forty-seven consecutive STEMI patients (23 patients under 45 years of age, referred to here as "youth," and 24 "elderly" patients) and 48 healthy control group members (24 youth, 24 elderly) were registered prospectively. The youth patients were required to provide a second blood draw during a follow-up visit one year after morbidity (n = 22, one lost). Characteristic metabolites and relative metabolic pathways were screened via UPLC/MS platform base on the Kyoto encyclopedia of genes and genomes (KEGG) and Human Metabolome Database. Receiver operating characteristic (ROC) curves were drawn to evaluate the predictive value of characteristic metabolites in the prognosis after discharge.

Results: We successfully established an orthogonal partial least squares discriminated analysis model (R2X = 71.2%, R2Y = 79.6%, and Q2 = 55.9%) and screened out 24 ions; the sphingolipid metabolism pathway showed the most drastic change. The ROC curve analysis showed that ceramide [Cer(d18:0/16:0), Cer(t18:0/12:0)] and sphinganine in the sphingolipid pathway have high sensitivity and specificity on the prognosis related to major adverse cardiovascular events after youth patients were discharged. The area under curve (AUC) was 0.671, 0.750, and 0.711, respectively. A follow-up validation one year after morbidity showed corresponding AUC of 0.778, 0.833, and 0.806.

Conclusions: By analyzing the plasma metabolism of myocardial infarction patients, we successfully established a model that can distinguish two different factors simultaneously: pathological conditions and age. Sphingolipid metabolism is the top most altered pathway in young STEMI patients and as such may represent a valuable prognostic factor and potential therapeutic target.

Citing Articles

Targeted metabolomic profiling of acute ST-segment elevation myocardial infarction.

Markin S, Ponomarenko E, Romashova Y, Pleshakova T, Ivanov S, Beregovykh V Sci Rep. 2024; 14(1):23838.

PMID: 39394398 PMC: 11470145. DOI: 10.1038/s41598-024-75635-3.

Sphingolipid Metabolism Is Associated with Cardiac Dyssynchrony in Patients with Acute Myocardial Infarction.

Huang C, Kuo C, Cheng Y, Huang C, Liu C, Chang C Biomedicines. 2024; 12(8).

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Sphingolipid metabolism and signaling in cardiovascular diseases.

Borodzicz-Jazdzyk S, Jazdzyk P, Lysik W, Cudnoch-Jdrzejewska A, Czarzasta K Front Cardiovasc Med. 2022; 9:915961.

PMID: 36119733 PMC: 9471951. DOI: 10.3389/fcvm.2022.915961.

Clinical Parameters and Metabolomic Biomarkers That Predict Inhospital Outcomes in Patients With ST-Segment Elevated Myocardial Infarctions.

Liu J, Huang L, Shi X, Gu C, Xu H, Liu S Front Physiol. 2022; 12:820240.

PMID: 35211029 PMC: 8862746. DOI: 10.3389/fphys.2021.820240.

Emerging Roles of Ceramide in Cardiovascular Diseases.

Shu H, Peng Y, Hang W, Li N, Zhou N, Wang D Aging Dis. 2022; 13(1):232-245.

PMID: 35111371 PMC: 8782558. DOI: 10.14336/AD.2021.0710.

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