Dataset Information

Exploring biomarkers based on ischemic stroke proteomics studies

ABSTRACT: Exploring biomarkers based on ischemic stroke proteomics studies

ORGANISM(S): Homo Sapiens

SUBMITTER: Wei Hu

PROVIDER: PXD036840 | iProX | Thu Oct 27 00:00:00 BST 2022

REPOSITORIES: iProX

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Publications

DIA-based technology explores hub pathways and biomarkers of neurological recovery in ischemic stroke after rehabilitation.

Hu Wei W Li Ping P Zeng Nianju N Tan Sheng S

Frontiers in neurology 20230307

<h4>Objective</h4>Ischemic stroke (IS) is a common disease that causes severe and long-term neurological disability in people worldwide. Although rehabilitation is indispensable to promote neurological recovery in ischemic stroke, it is limited to providing a timely and efficient reference for developing and adjusting treatment strategies because neurological assessment after stroke treatment is mostly performed using scales and imaging. Therefore, there is an urgent need to find biomarkers that ...[more]

PMID: 36959823

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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.

Dataset Information

Exploring biomarkers based on ischemic stroke proteomics studies

Publications

DIA-based technology explores hub pathways and biomarkers of neurological recovery in ischemic stroke after rehabilitation.

Similar Datasets

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