Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2026
Metabolomic analysis of arterial blood near intracranial occlusions reveals biochemical signatures of acute ischemic stroke.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Troisi Jacopo, Lombardi Martina, Abenante Vera, Palmieri Nicole, Trotta Alessio, Ingenito Andrea, Cavallo Armando Ugo, Di Giuliano Francesca, Trulli Mariafrancesca, Sabuzi Federico, Argirò Renato, Morosetti Daniele, Nezzo Marco, Garaci Francesco, Da Ros Valerio
Аннотация
BACKGROUND: Acute ischemic stroke is a major cause of death and disability, and timely assessment of symptom onset is essential for appropriate treatment. Conventional imaging often lacks accuracy in estimating the timing of ischemic injury, especially in patients with unclear or unwitnessed onset. Metabolomic profiling may provide biochemical information reflecting tissue damage, collateral circulation, and clinical progression.
METHODS: We performed an untargeted metabolomic study of arterial blood collected during mechanical thrombectomy from one hundred sixty-one patients with acute ischemic stroke and known onset time. Blood was drawn near the intracranial occlusion and analyzed with gas chromatography and mass spectrometry. Two hundred eleven consistent metabolic signals were identified. Multivariate models based on partial least squares discriminant analysis and least absolute shrinkage and selection operator regression were used to examine associations between metabolic patterns and clinical, radiological, and procedural features, including onset time, neurological worsening within forty-eight hours, and collateral flow.
RESULTS: Distinct metabolic signatures were associated with occlusion site, onset time, and clinical evolution. Elevated glucose and lactate were linked to early neurological worsening. Increased three-hydroxybutyric acid and niacinamide were associated with larger clot burden. Gamma-aminobutyric acid and branched-chain amino acids correlated with higher clinical severity and unfavorable outcome. Pathway analysis showed alterations in carbohydrate, amino acid, and fatty acid metabolism.
CONCLUSIONS: Arterial blood metabolomics reveals metabolic reprogramming associated with acute ischemic injury and compensatory responses. These findings support the potential use of metabolomic profiling for patient stratification and therapeutic decision-making, which requires validation in independent cohorts.
METHODS: We performed an untargeted metabolomic study of arterial blood collected during mechanical thrombectomy from one hundred sixty-one patients with acute ischemic stroke and known onset time. Blood was drawn near the intracranial occlusion and analyzed with gas chromatography and mass spectrometry. Two hundred eleven consistent metabolic signals were identified. Multivariate models based on partial least squares discriminant analysis and least absolute shrinkage and selection operator regression were used to examine associations between metabolic patterns and clinical, radiological, and procedural features, including onset time, neurological worsening within forty-eight hours, and collateral flow.
RESULTS: Distinct metabolic signatures were associated with occlusion site, onset time, and clinical evolution. Elevated glucose and lactate were linked to early neurological worsening. Increased three-hydroxybutyric acid and niacinamide were associated with larger clot burden. Gamma-aminobutyric acid and branched-chain amino acids correlated with higher clinical severity and unfavorable outcome. Pathway analysis showed alterations in carbohydrate, amino acid, and fatty acid metabolism.
CONCLUSIONS: Arterial blood metabolomics reveals metabolic reprogramming associated with acute ischemic injury and compensatory responses. These findings support the potential use of metabolomic profiling for patient stratification and therapeutic decision-making, which requires validation in independent cohorts.