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Background: Ischemic stroke (IS) is a common cerebrovascular disease. Although the formation of atherosclerosis, which is closely related to oxidative stress (OS), is associated with stroke-related deaths. However, the role of OS in IS is unknown.

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Spatial metabolomics platform combining mass spectrometry imaging and in-depth chemical characterization with capillary electrophoresis.

Talanta

January 2025

Department of Chemistry-BMC, Uppsala University, 75123, Uppsala, Sweden; Center of Excellence for the Chemical Mechanisms of Life, Uppsala University, Sweden. Electronic address:

Spatial metabolomics offers the combination of molecular identification and localization. As a tool for spatial metabolomics, mass spectrometry imaging (MSI) can provide detailed information on localization. However, molecular annotation with MSI is challenging due to the lack of separation prior to mass spectrometric analysis.

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Article Synopsis
  • Hyperacute cardiac CT is more effective than transthoracic echocardiography in detecting intracardiac thrombus, but its routine use is limited due to costs and risks.
  • A study of 1,136 ischemic stroke or TIA patients found that longer arterial input function (AIF) dispersal times correlate with the presence of thrombus and worse outcomes, with a specific cutoff of 33 seconds indicating higher risk.
  • The findings support using AIF dispersal measurements to help identify patients who may benefit from cardiac imaging, potentially optimizing resource use in stroke management.
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Background: Mitochondrial encephalopathy, lactic acidosis, and stroke-like episodes (MELAS) is a rare and progressive mitochondrial disorder characterized by multi-systemic involvement. This disease manifests in various clinical manifestations, with heart and kidney disorders being among the most common. Accurate diagnosis of MELAS often necessitates a range of complex investigations.

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Background: Heat stroke (HS), a potentially fatal heat-related illness, is often accompanied by disseminated intravascular coagulation (DIC) early, resulting in a poorer prognosis. Unfortunately, diagnosis by current DIC scores is often too late to identify DIC. This study aims to investigate the predictors and predictive model of DIC in HS to identify DIC early.

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