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September 27, 2022CellsOpen Access

Identification of Metabolomics Biomarkers in Extracranial Carotid Artery Stenosis

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Why the study?

Biochemical identification of carotid artery stenosis remains a clinical challenge.

Can serum metabolomics profiles identify and predict the severity of extracranial carotid artery stenosis in male stroke patients compared to normal controls?

Population

349 male subjects including 173 stroke patients with extracranial CAS and 176 normal controls

Comparison

Stroke patients with extracranial CAS ≥ 50% vs normal controls

Design

Case-control study

Authors

CLChia‐Ni LinKHKai-Cheng HsuKHKuo‐Lun Huang

Discussion

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Overview

Metabolite profiling in CAS is hypothesis-generating; prospective validation required before any clinical application.

Structured PICO

Can serum metabolomics profiles identify and predict the severity of extracranial carotid artery stenosis in male stroke patients compared to normal controls?

P
Population
349 male subjects (176 normal controls and 173 stroke patients with extracranial carotid artery stenosis ≥ 50% diameter stenosis), blood samples collected 14 days after stroke onset with no acute illness.
I
Intervention
Serum metabolite profiling using a targeted Absolute IDQ®p180 kit
C
Comparator
Normal controls
O
Outcome
Detection and prediction of carotid artery stenosis (CAS) severity defined by carotid plaque score (≥2, ≥5 and ≥8)surrogate

Specific serum metabolites, including acylcarnitines, amino acids, and glycerophospholipids, show high specificity but low sensitivity for detecting carotid artery stenosis severity in male stroke patients.

Cite This Study

Lin et al. (2022) studied this question.

synapsesocial.com/papers/6a867118da4bf993812ee006https://doi.org/10.3390/cells11193022
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Also Consider

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  1. 1Serum metabolomics coupled with HR-VWI radiomics reveals metabolic alterations in asymptomatic carotid artery stenosis.2026
  2. 2Combining ultrasound with bio-indicators reveals progression of carotid stenosis2021 · 3 citations
  3. 3Identification of High Risk Carotid Artery Stenosis: A Multimodal Vascular and Perfusion Imaging Study2019 · 16 citations
  4. 4Inflammatory Biomarkers to Predict Major Adverse Cardiovascular Events in Patients with Carotid Artery Stenosis2024 · 7 citations
  5. 5Effect of lipid parameters on carotid artery disease progression in patients undergoing carotid endarterectomy and unoperated patients with non-severe carotid artery stenosis2018