Metabolomics of ischemic stroke: insights into risk prediction and mechanisms.
Metab Brain Dis
; 37(7): 2163-2180, 2022 10.
Article
em En
| MEDLINE
| ID: mdl-35612695
ABSTRACT
Ischemic stroke (IS) is the most prevalent type of stroke. The early diagnosis and prognosis of IS are crucial for successful therapy and early intervention. Metabolomics, a tool in systems biology based on several innovative technologies, can be used to identify disease biomarkers and unveil underlying pathophysiological processes. Accordingly, in recent years, an increasing number of studies have identified metabolites from cerebral ischemia patients and animal models that could improve the diagnosis of IS and prediction of its outcome. In this paper, metabolomic research is comprehensively reviewed with a focus on describing the metabolic changes and related pathways associated with IS. Most clinical studies use biofluids (e.g., blood or plasma) because their collection is minimally invasive and they are ideal for analyzing changes in metabolites in patients of IS. We review the application of animal models in metabolomic analyses aimed at investigating potential mechanisms of IS and developing novel therapeutic approaches. In addition, this review presents the strengths and limitations of current metabolomic studies on IS, providing a reference for future related studies.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Isquemia Encefálica
/
Acidente Vascular Cerebral
/
AVC Isquêmico
Tipo de estudo:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
/
Screening_studies
Limite:
Animals
Idioma:
En
Revista:
Metab Brain Dis
Assunto da revista:
CEREBRO
/
METABOLISMO
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
China