RESUMEN
INTRODUCTION: Acute ischemic stroke (AIS) accounts for the majority of all stroke, globally the second leading cause of death. Due to its rapid development after onset, its early diagnosis is crucial. OBJECTIVES: We aim to identify potential highly reliable blood-based biomarkers for early diagnosis of AIS using quantitative plasma lipid profiling via a machine learning approach. METHODS: Lipidomics was used for quantitative plasma lipid profiling, based on ultra-performance liquid chromatography tandem mass spectrometry. Our samples were divided into a discovery and a validation set, each containing 30 AIS patients and 30 health controls (HC). Differentially expressed lipid metabolites were screened based on the criteria VIP > 1, p < 0.05, and fold change > 1.5 or < 0.67. The least absolute shrinkage and selection operator (LASSO) and random forest algorithms in machine learning were used to select differential lipid metabolites as potential biomarkers. RESULTS: Three key differential lipid metabolites, CarnitineC10:1, CarnitineC10:1-OH and Cer(d18:0/16:0), were identified as potential biomarkers for early diagnosis of AIS. The former two, associated with thermogenesis, were down-regulated, whereas the latter, associated with necroptosis and sphingolipd metabolism, was upregulated. Univariate and multivariate logistic regressions showed that these three lipid metabolites and the resulting diagnostic model exhibited a strong ability in discriminating between AIS patients and HCs in both the discovery and validation sets, with an area under the curve above 0.9. CONCLUSIONS: Our work provides valuable information on the pathophysiology of AIS and constitutes an important step toward clinical application of blood-based biomarkers for diagnosing AIS.
Asunto(s)
Accidente Cerebrovascular Isquémico , Lipidómica , Humanos , Metabolómica , Biomarcadores , Diagnóstico Precoz , LípidosRESUMEN
A total synthetic route for two natural dihydrostilbenes with significant cytotoxicity toward human cancer cell lines, (3-(2-(7-methoxybenzo[d][1,3]dioxol-5-yl)ethyl)phenol 1a and 6-(3-hydroxyphenethyl)benzo[d][1,3]dioxol-4-ol 1b), which were isolated from Bulbophyllum odoratissimum Lindl, was developed via Wittig-Horner reaction. The natural products 1a and 1b were obtained in 28% and 20% overall yield, respectively. Additionally, nine analogues, 1c-1k, of the two natural dihydrostilbenes were synthesized and evaluated for their anti-proliferative activity against human SGC-7901, KB and HT-1080 cell lines by MTT assay. The activities of 1c and 1d were in the same range as those of the natural products 1a and 1b.