A Novel Marker of Inflammation: Azurocidin in Patients with ST Segment Elevation Myocardial Infarction

İpek, Emrah; Yolcu, Mustafa; Yıldırım, Erkan; Altınkaynak, Konca; Şebin, Saime Özbek; Kalkan, Kamuran; Gülcü, Oktay; Ermis, Emrah; Öztürk, Mustafa

doi:10.3390/ijms19123797

Cited by 9 publications

(15 citation statements)

References 31 publications

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“…In a separate study, the inflammatory response protein azurocidin (AZU1) was identified as being elevated in the serum of diabetic patients, especially in patients with diabetic complications including retinopathy [109]. This protein is released by neutrophils in response to inflammatory stimuli on vascular endothelium and is known to play a role in vascular permeability within the retina [110,111].…”

Section: Proteomic Changes In Biofluids Associated With Diabetic Rmentioning

confidence: 99%

Proteomic Biomarkers of Retinal Inflammation in Diabetic Retinopathy

Youngblood

Robinson

Sharma

et al. 2019

IJMS

119

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Diabetic retinopathy (DR), a sight-threatening neurovasculopathy, is the leading cause of irreversible blindness in the developed world. DR arises as the result of prolonged hyperglycemia and is characterized by leaky retinal vasculature, retinal ischemia, retinal inflammation, angiogenesis, and neovascularization. The number of DR patients is growing with an increase in the elderly population, and therapeutic approaches are limited, therefore, new therapies to prevent retinal injury and enhance repair are a critical unmet need. Besides vascular endothelial growth factor (VEGF)-induced vascular proliferation, several other mechanisms are important in the pathogenesis of diabetic retinopathy, including vascular inflammation. Thus, combining anti-VEGF therapy with other new therapies targeting these pathophysiological pathways of DR may further optimize treatment outcomes. Technological advancements have allowed for high-throughput proteomic studies examining biofluids such as aqueous humor, vitreous humor, tear, and serum. Many DR biomarkers have been identified, especially proteins involved in retinal inflammatory processes. This review attempts to summarize the proteomic biomarkers of DR-associated retinal inflammation identified over the last several years.

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Section: Proteomic Changes In Biofluids Associated With Diabetic Rmentioning

confidence: 99%

Proteomic Biomarkers of Retinal Inflammation in Diabetic Retinopathy

Youngblood

Robinson

Sharma

et al. 2019

IJMS

119

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“…Table (1) showed that there was no statistically significant difference between both groups regarding demographic data and risk factors (p > 0.05). Data are represented by mean ± SD.…”

Section: Resultsmentioning

confidence: 89%

“…Acute myocardial infarction (AMI) is one of the leading causes of morbidity and mortality throughout the world (1) . Acute transmural myocardial infarction induces ST-segment elevation, enlargement of the R wave, and widening of the QRS complex in electrocardiogram (ECG) leads, which are directly related to the ischemic region (2) .…”

Section: Introductionmentioning

confidence: 99%

Association between Reciprocal Changes and Syntax Score in Patients with ST-Segment Elevation Myocardial Infarction

Abol-eineen¹,

Elawady²,

Hallalah³

et al. 2022

The Egyptian Journal of Hospital Medicine

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Background: The reciprocal change is a surrogate marker of the severity of myocardial infarction (MI). Patients exhibiting this reciprocal change tend to have a larger infarction, poorer left ventricular systolic function, higher incidence of proximal left anterior descending artery (LAD) lesions, multivessel diseases, and worse prognosis.Objective: This study aimed to find the association between reciprocal ST segment changes and syntax score in patients undergoing primary percutaneous coronary intervention (PCI) for ST elevation myocardial infarction (STEMI). Patients and methods:The study included sixty patients who were presented to Emergency Room with STEMI and underwent primary PCI. Echocardiographic evaluation was performed within 24 h of PPCI. We assessed the severity of coronary artery disease (CAD) using syntax and gensini scores. Results: There was significant difference regarding gensini score and syntax score that was higher in with reciprocal change group than without reciprocal change group. Conclusion:We concluded that there is an association between reciprocal ST segment changes and syntax score in patients undergoing primary PCI for ST elevation myocardial infarction.

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“… 30 A clinical trial showed that the significant positive correlation of AZU1 with the SYNTAX score, Grace score and Killip class in MI patients, suggesting the strong association between inflammation and disease severity. 31 The mechanism remains unclear and demands further investigation. CAMP (also named as LL-37) is produced in the atherosclerotic lesions, where it may function as an immune modulator by activating adhesion molecule and chemokine expression, thus increasing innate immunity in atherosclerosis.…”

Section: Discussionmentioning

confidence: 99%

Bioinformatic Analysis for Potential Biomarkers and Therapeutic Targets of T2DM-related MI

Li¹,

Liu²

2021

IJGM

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Background Type 2 diabetes mellitus (T2DM), a major risk factor of coronary heart disease, is associated with an approximately twofold increase in the risk of myocardial infarction (MI). We studied co-expressed genes to demonstrate relationships between DM and MI and revealed the potential biomarkers and therapeutic targets of T2DM-related MI. Methods DM and MI-related differentially expressed genes (DEGs) were identified by bioinformatic analysis, Gene Expression Omnibus (GEO) datasets GSE42148 and GSE61144 of MI patients, and the normal control and GSE26168 and GSE15932 of DM patients and normal controls, respectively. Further target prediction and network analysis method were used to detect protein-protein interaction (PPI) networks, gene ontology (GO) terms, and pathway enrichment of DEGs. Co-expressed DEGs of T2DM-related MI were analyzed as well. Results We identified 210 upregulated and 127 downregulated DEGs in T2DM, as well as 264 upregulated and 242 downregulated DEGs in MI. Eighteen upregulated and four downregulated DEGs were identified as co-DEGs of T2DM and MI. Functional analysis revealed that T2DM-related DEGs were mostly enriched in the viral process and ubiquitin-mediated proteolysis, while MI-related DEGs were mostly enriched in protein phosphorylation and TNF signaling pathway. MPO , MMP9 , CAMP , LTF , AZU1 , DEFA4 , STAT3 , and PECAM1 were recognized as the hub genes of the co-DEGs with acceptable diagnostic values in T2DM and MI datasets. Adenosine receptor agonist IB-MECA was predicted to be a potential drug for T2DM-related MI with the highest CMap connectivity score. Conclusion Our study identified that the co-DEGs of MPO , MMP9 , CAMP , LTF , AZU1 , DEFA4 , STAT3 , and PECAM1 are significantly associated with novel biomarkers involved in T2DM-related MI. However, more experimental research and clinical trials are demanded to verify our results.

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A Novel Marker of Inflammation: Azurocidin in Patients with ST Segment Elevation Myocardial Infarction

Cited by 9 publications

References 31 publications

Proteomic Biomarkers of Retinal Inflammation in Diabetic Retinopathy

Proteomic Biomarkers of Retinal Inflammation in Diabetic Retinopathy

Association between Reciprocal Changes and Syntax Score in Patients with ST-Segment Elevation Myocardial Infarction

Bioinformatic Analysis for Potential Biomarkers and Therapeutic Targets of T2DM-related MI

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