Identification of potential prognostic plasma biomarkers of acute ischemic stroke via untargeted LC-MS metabolomics
Ontology highlight
ABSTRACT:
INSTRUMENT(S): maXis, TSQ Quantum Access
ORGANISM(S): Homo Sapiens (ncbitaxon:9606)
SUBMITTER: 
Chao-Jung Chen
PROVIDER: MSV000089746 | MassIVE | Mon Jun 27 22:18:00 BST 2022
REPOSITORIES: MassIVE
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Project description:To discover biomarkers for stroke, untargeted LC/MS-based metabolomics was performed in 42 plasma samples from subjects of prognosis and non-prognosis. The results showed that there were 10 up-regulated markers and 26 down-regulated markers.
2022-06-27 | MSV000089746 | GNPS
Project description:In order to determine the serum microRNAs profile from middle-old aged patients with acute ischemic stroke and investigate possible diagnostic value of these differential microRNAs.The blood samples of 117 IS patients and 82 healthy people were collected. Differential miRNAs in serum from IS and control were screened with miRNA microarray analysis, and the expression of selected miRNAs were validated by quantitative reverse-transcriptase polymerase chain reaction assays (qRT-PCR). Results: We discovered 115 differentially expressed miRNAs, among which miR-32-3p, miR-106-5p, miR-532-5p were found be related to IS for the first time. Conclusions: In the present study, we identified the changed expression pattern of miRNAs in IS. Serum miR-32-3p, miR-106-5p, miR-1246 and miR-532-5p may serve as potential diagnostic biomarkers for IS. During the initial screening stage, we divided the serum samples into five groups (10 serum samples were pooled to form a group). Group A1: A denotes thrombotic stroke and 1 denotes hepertension. Group A14: A denotes thrombotic stroke, 1 denotes hepertension and 4 denotes hyperlipidemia. Group B2: B denotes embolic stroke and 2 denotes heart disease. Group B12: B denotes embolic stroke, 1 denotes hepertension and 2 denotes heart disease. Group 0: healthy control group.
2015-08-12 | E-GEOD-60319 | biostudies-arrayexpress
Project description:Many hospitals lack facilities for accurate diagnosis of acute ischemic stroke (AIS). Circular RNA (circRNA) is highly expressed in the brain and is closely associated with stroke. In this study, we examined whether the blood-borne circRNAs can be promising candidates as adjunctive diagnostic biomarkers and their pathophysiological roles after stroke. We profiled the blood circRNA expression in mice subjected to experimental focal cerebral ischemia, and validated the selected circRNAs in AIS patients. We demonstrated that 128, 198 and 789 circRNAs were significantly altered at 5 min, 3 h and 24 h after ischemic stroke, respectively.
2020-01-23 | GSE138849 | GEO
Project description:Stroke remains a major leading cause of death and disability worldwide. Despite continuous advances, the identification of key molecular signatures of ischemic stroke within the hyper-acute phase of the disease is still of primary interest for a real translational research on stroke diagnosis, prognosis and treatment. High-throughput - omics technologies are enabling large-scale studies on stroke pathology at different molecular levels. Data integration resulting from these -omics approaches is becoming crucial to unravel the interactions among all different molecular elements and highly contribute to interpret all findings in a complex biological context. Here, we have used advanced data integration methods for multi-level joint analysis of transcriptomics and proteomics datasets depicted from the mouse brain 2h after cerebral ischemia. By modeling network-like correlation structures, we identified a set of differentially expressed genes and proteins by ischemia with a relevant association in stroke pathology. The ischemia-induced deregulation of 10 of these inter-correlated elements was successfully verified in a new cohort of ischemic mice, and changes in their expression pattern were also evaluated at a later time-point after cerebral ischemia. Of those, CLDN20, GADD45G, RGS2, BAG5 and CTNND2 were highlighted and evaluated as potential blood biomarkers of cerebral ischemia in blood samples from ischemic and sham-control mice and from ischemic strokes and other patients presenting stroke-mimicking conditions. Our findings indicated that CTNND2 and GADD45G levels in blood within the first hours after ischemic stroke might be potentially useful to discriminate ischemic strokes from mimics and to predict patients’ poor outcome after stroke, respectively. In summary, we have here used for the first time an integrative approach to elucidate by means of biostatistical tools key elements of the initial stages of the stroke pathophysiology, highlighting new outstanding proteins that might be further considered as blood biomarkers of ischemic stroke.
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Project description:In order to determine the serum microRNAs profile from middle-old aged patients with acute ischemic stroke and investigate possible diagnostic value of these differential microRNAs.The blood samples of 117 IS patients and 82 healthy people were collected. Differential miRNAs in serum from IS and control were screened with miRNA microarray analysis, and the expression of selected miRNAs were validated by quantitative reverse-transcriptase polymerase chain reaction assays (qRT-PCR). Results: We discovered 115 differentially expressed miRNAs, among which miR-32-3p, miR-106-5p, miR-532-5p were found be related to IS for the first time. Conclusions: In the present study, we identified the changed expression pattern of miRNAs in IS. Serum miR-32-3p, miR-106-5p, miR-1246 and miR-532-5p may serve as potential diagnostic biomarkers for IS.
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Project description:Rationale: Currently, there are no blood-based biomarkers with clinical utility for acute ischemic stroke (IS). microRNAs (miRNAs) show promise as disease markers due to their cell-type specific expression patterns and stability in peripheral blood. Objective: To identify circulating miRNAs associated with acute IS, determine their temporal course up to 90 days post-stroke, and explore their utility as an early diagnostic marker. Methods and Results: We used RNA sequencing to study expression changes of circulating miRNAs in a discovery sample of 20 IS patients and 20 matched healthy control subjects (HCs). We further applied qRT-PCR in independent samples for validation (40 IS patients and 40 matched controls), replication (200 IS patients, 100 HCs), and in 72 patients with transient ischemic attacks (TIA). Sampling of patient plasma was done immediately upon hospital arrival. We identified, validated, and replicated three differentially expressed miRNAs, which were upregulated in IS patients compared to both HCs (miR-125a-5p [1.8-fold; P=1.5x10-6], miR-125b-5p [2.5-fold; P=5.6x10-6], and miR-143-3p [4.8-fold; P=7.8x10-9]) and TIA patients (miR-125a-5p: P=0.003, miR-125b-5p: P=0.003, miR-143-3p: P=0.005). Longitudinal analysis of expression levels up to 90 days after stroke revealed a normalization to control levels for miR-125b-5p and miR-143-3p starting at day two, while miR-125a-5p remained elevated. Levels of all three miRNAs depended on platelet numbers in a platelet spike-in experiment, but were unaffected by chemical hypoxia in N2a cells and in experimental stroke models. In a random forest classification, miR-125a-5p, miR-125b-5p and miR-143-3p differentiated between HCs and IS patients with an area under the curve (AUC) of 0.90 (sensitivity: 85.6%; specificity: 76.3%), which was superior to multimodal cranial computed tomography obtained for routine diagnostics (sensitivity: 72.5%) and previously reported biomarkers of acute IS (neuron specific enolase: AUC=0.69, interleukin 6: AUC=0.82). Conclusions: A set of circulating miRNAs (miR-125a-5p, miR-125b-5p, miR-143-3p) associates with acute IS and might have clinical utility as an early diagnostic marker.
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Project description:Acute stroke, with ischemic stroke comprising 80% of all cerebrovascular incidents, has been recognized as one of the core problems in clinical medicine in need of prevention and treatment. Intravenous rtPA is the mainstay and the highest class evidence based method of acute ischemic stroke treatment, and is currently recommended 0-4.5 hours after stroke onset. In most patients decision on i.v. rtPA administration is striaghtforward, however the biggest concern is the symptomatic intracranial haemorrhage (sICH), which occurs in 3-7% of all treated patients, and is associated with worse 90-day functional outcome and higher disability than in those untreated. Finding a method of the powerful (highly specific and selective) identification of patients at highest risk of sICH, in order to increase the percentage of stroke patients safely treated with rtPA, is one of the most important challenges in stroke research. To address this problem we designed a major and complex project to identify blood, neuroimaging, and clinical biomarkers combined for prospective assessment of the risk of intracranial hemorrhage (ICH) after thrombolytic treatment of acute ischemic stroke. Herein, we reveal our general methodological approach with shortlisting of blood protein candidates selected with Sequential Window Acquisition of All Theoretical Mass Spectra (SWATH-MS) that in the future might increase sensitivity and selectivity of the rtPA-associated sICH risk calculations.
2021-11-25 | PXD021713 | Pride
Project description:Stroke remains a leading cause of death and disability worldwide. Despite continuous advances, the identification of key molecular signatures of acute ischemic stroke is still of primary interest for a real translational research on stroke diagnosis, prognosis and treatment. Integration of data
from high-throughput -omics techniques is crucial to unravel key interactions among different molecular elements in a complex biological context. Here, we used advanced data integration methods for a multi-level joint analysis of transcriptomics and proteomics datasets depicted
from the mouse brain 2h after cerebral ischemia. We identified a correlation-based integrated network of genes and proteins differentially expressed acutely after stroke. Of those, CLDN20, GADD45G, RGS2, BAG5 and CTNND2 were further evaluated as blood biomarkers of cerebral ischemia in mice and human blood samples. Our findings indicated that CTNND2 and
GADD45G levels in blood within the first hours after ischemic stroke might be potentially useful to discriminate ischemic strokes from stroke-mimicking conditions and to predict stroke patients’ poor outcome, respectively. Together, we used for the first time an integrative
biostatistical approach to elucidate key molecules of the initial stages of stroke pathophysiology and highlight new outstanding proteins that might be further considered as blood biomarkers of ischemic stroke.
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