Genome-Wide Expression Profiles for Ischemic Stroke: A Meta-Analysis

Gutiérrez-Garzón, Eulogia; Barreto, George E.; Forero, Diego A.

doi:10.1016/j.jstrokecerebrovasdis.2018.07.035

Cited by 4 publications

(3 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fibrinogen is an essential element of the coagulation system, and the increase in its concentrations is related to ischemic stroke. Fibrin/fibrinogen also represents a fundamental scaffolding component of thrombi retrieved by mechanical thrombectomy from ischemic stroke patients, as reported by structural studies ( Moreno-Ramírez et al, 2018 ; Pir et al, 2022 ). Fibrins polymerize to form an insoluble fibrin matrix for blood clots; thus, its elevated levels are a risk factor for stroke.…”

Section: Discussionmentioning

confidence: 80%

“…FIBG and FIBB polymerize to form an insoluble fibrin matrix for blood clots; thus, its elevated levels are a risk factor for stroke. TTC16 belongs to a family of structural tetratricopeptide repeat proteins that have shown changes in expression in ischemic stroke genome-wide association studies ( Li, 2009 ; Moreno-Ramírez et al, 2018 ), which showed that anti-platelet therapy involving aspirin led to the downregulation of TTC16, and among several other proteins, in cardiovascular patients resistant to aspirin ( Li, 2009 ). Notably, all patients in the DS group and 85% of patients in the nDS group were undergoing anti-platelet therapy, indicating the potential role of this protein in complications associated with stroke.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Mass spectrometry-based proteomic profiling of extracellular vesicle proteins in diabetic and non-diabetic ischemic stroke patients: a case-control study

Qadri,

Sohail,

Akhtar

et al. 2024

Front. Mol. Biosci.

View full text Add to dashboard Cite

Acute ischemic stroke is the most common cause of neurologic dysfunction caused by focal brain ischemia and tissue injury. Diabetes is a major risk factor of stroke, exacerbating disease management and prognosis. Therefore, discovering new diagnostic markers and therapeutic targets is critical for stroke prevention and treatment. Extracellular vesicles (EVs), with their distinctive properties, have emerged as promising candidates for biomarker discovery and therapeutic application. This case-control study utilized mass spectrometry-based proteomics to compare EVs from non-diabetic stroke (nDS = 14), diabetic stroke (DS = 13), and healthy control (HC = 12) subjects. Among 1288 identified proteins, 387 were statistically compared. Statistical comparisons using a general linear model (log2 foldchange ≥0.58 and FDR-p≤0.05) were performed for nDS vs HC, DS vs HC, and DS vs nDS. DS vs HC and DS vs nDS comparisons produced 123 and 149 differentially expressed proteins, respectively. Fibrinogen gamma chain (FIBG), Fibrinogen beta chain (FIBB), Tetratricopeptide repeat protein 16 (TTC16), Proline rich 14-like (PR14L), Inhibitor of nuclear factor kappa-B kinase subunit epsilon (IKKE), Biorientation of chromosomes in cell division protein 1-like 1 (BD1L1), and protein PR14L exhibited significant differences in the DS group. The pathway analysis revealed that the complement system pathways were activated, and blood coagulation and neuroprotection were inhibited in the DS group (z-score ≥2; p ≤ 0.05). These findings underscore the potential of EVs proteomics in identifying biomarkers for stroke management and prevention, warranting further clinical investigation.

show abstract

Section: Discussionmentioning

confidence: 80%

Section: Discussionmentioning

confidence: 99%

Mass spectrometry-based proteomic profiling of extracellular vesicle proteins in diabetic and non-diabetic ischemic stroke patients: a case-control study

Qadri,

Sohail,

Akhtar

et al. 2024

Front. Mol. Biosci.

View full text Add to dashboard Cite

show abstract

“…As we can see in Table 2, HSD17B12 is overlapped in the two tests. Moreno et al (2018) found upregulation of HSD17B12 is associated ischemic stroke using 82 cases and 67 controls. ALDH2 is generally considered as a gene (Guo et al, 2013) which can protect against ischemic stroke, because overexpression of ALDH2 rescued neuronal survival against 4-HNE treatment in PC12 cells (Lee et al, 2012).…”

Section: Snps and Genes For Ischemic Strokementioning

confidence: 87%

Integrating Multi-Omics Data to Identify Novel Disease Genes and Single-Neucleotide Polymorphisms

et al. 2020

View full text Add to dashboard Cite

Stroke ranks the second leading cause of death among people over the age of 60 in the world. Stroke is widely regarded as a complex disease that is affected by genetic and environmental factors. Evidence from twin and family studies suggests that genetic factors may play an important role in its pathogenesis. Therefore, research on the genetic association of susceptibility genes can help understand the mechanism of stroke. Genome-wide association study (GWAS) has found a large number of stroke-related loci, but their mechanism is unknown. In order to explore the function of single-nucleotide polymorphisms (SNPs) at the molecular level, in this paper, we integrated 8 GWAS datasets with brain expression quantitative trait loci (eQTL) dataset to identify SNPs and genes which are related to four types of stroke (ischemic stroke, large artery stroke, cardioembolic stroke, small vessel stroke). Thirty-eight SNPs which can affect 14 genes expression are found to be associated with stroke. Among these 14 genes, 10 genes expression are associated with ischemic stroke, one gene for large artery stroke, six genes for cardioembolic stroke and eight genes for small vessel stroke. To explore the effects of environmental factors on stroke, we identified methylation susceptibility loci associated with stroke using methylation quantitative trait loci (MQTL). Thirty-one of these 38 SNPs are at greater risk of methylation and can significantly change gene expression level. Overall, the genetic pathogenesis of stroke is explored from locus to gene, gene to gene expression and gene expression to phenotype.

show abstract

Should We Care About Early Post-Stroke Rehabilitation? Not Yet, but Soon

Zeiler¹

2019

Curr Neurol Neurosci Rep

View full text Add to dashboard Cite

Genome-Wide Expression Profiles for Ischemic Stroke: A Meta-Analysis

Cited by 4 publications

References 59 publications

Mass spectrometry-based proteomic profiling of extracellular vesicle proteins in diabetic and non-diabetic ischemic stroke patients: a case-control study

Mass spectrometry-based proteomic profiling of extracellular vesicle proteins in diabetic and non-diabetic ischemic stroke patients: a case-control study

Integrating Multi-Omics Data to Identify Novel Disease Genes and Single-Neucleotide Polymorphisms

Should We Care About Early Post-Stroke Rehabilitation? Not Yet, but Soon

Contact Info

Product

Resources

About