Impact of Serum Granulocyte-Macrophage Colony-Stimulating Factor Levels among Diabetes Patients in Hilla City - Iraq

Al-Hassnawi, Alaa Tareq Shakir; Al-Thaheb, Azhar Omran Lattef; Al-Dahmoshi, Hussein O. M.; Al-Mammori, Raheem T. Obyes; Al-Shareef, Hasanain Khaleel; Al-Khafaji, Noor S. K.

doi:10.5923/j.als.20140406.02

Cited by 2 publications

(2 citation statements)

References 20 publications

(21 reference statements)

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“…Previously, researchers reported that GM-CSF protects from diabetes by increasing a tolerogenic dendritic cells population [38]. Recently, Al-Hassnawi et al reported decreased GM-CSF levels in type 2 diabetes patients and found indirect association with blood glucose levels [39]. Present study also confirmed that GM-CSF could be used in the disease progressive marker for diabetes and diabetes with CAD.…”

Section: Discussionsupporting

confidence: 83%

Serum protein signature of coronary artery disease in type 2 diabetes mellitus

et al. 2019

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BackgroundCoronary artery disease (CAD) is the leading cause of morbidity and mortality in patients with type 2 diabetes mellitus (T2DM). The purpose of the present study was to discriminate the Indian CAD patients with or without T2DM by using multiple pathophysiological biomarkers.MethodsUsing sensitive multiplex protein assays, we assessed 46 protein markers including cytokines/chemokines, metabolic hormones, adipokines and apolipoproteins for evaluating different pathophysiological conditions of control, T2DM, CAD and T2DM with CAD patients (T2DM_CAD). Network analysis was performed to create protein-protein interaction networks by using significantly (p < 0.05) altered protein markers in each disease using STRING 10.5 database. We used two supervised analysis methods i.e., between class analysis (BCA) and principal component analysis (PCA) to reveals distinct biomarkers profiles. Further, random forest classification (RF) was used to classify the diseases by the panel of markers.ResultsOur two supervised analysis methods BCA and PCA revealed a distinct biomarker profiles and high degree of variability in the marker profiles for T2DM_CAD and CAD. Thereafter, the present study identified multiple potential biomarkers to differentiate T2DM, CAD, and T2DM_CAD patients based on their relative abundance in serum. RF classified T2DM based on the abundance patterns of nine markers i.e., IL-1β, GM-CSF, glucagon, PAI-I, rantes, IP-10, resistin, GIP and Apo-B; CAD by 14 markers i.e., resistin, PDGF-BB, PAI-1, lipocalin-2, leptin, IL-13, eotaxin, GM-CSF, Apo-E, ghrelin, adipsin, GIP, Apo-CII and IP-10; and T2DM _CAD by 12 markers i.e., insulin, resistin, PAI-1, adiponectin, lipocalin-2, GM-CSF, adipsin, leptin, Apo-AII, rantes, IL-6 and ghrelin with respect to the control subjects. Using network analysis, we have identified several cellular network proteins like PTPN1, AKT1, INSR, LEPR, IRS1, IRS2, IL1R2, IL6R, PCSK9 and MYD88, which are responsible for regulating inflammation, insulin resistance, and atherosclerosis.ConclusionWe have identified three distinct sets of serum markers for diabetes, CAD and diabetes associated with CAD in Indian patients using nonparametric-based machine learning approach. These multiple marker classifiers may be useful for monitoring progression from a healthy person to T2DM and T2DM to T2DM_CAD. However, these findings need to be further confirmed in the future studies with large number of samples.Electronic supplementary materialThe online version of this article (10.1186/s12967-018-1755-5) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 83%

Serum protein signature of coronary artery disease in type 2 diabetes mellitus

et al. 2019

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“…34 However, our results contrast to another study that G-CSF level decreased in patients with T1DM or T2DM compared to control. 35 G-CSF can play a significant role in stimulating vascular endothelium injury and granulocytes, which may play a significant role in the development of preeclampsia. 36 That effect could explain the significant positive correlation in the current study between the G-CSF and the endothelin-1 as the endothelin-1, known as a potent vasoconstrictor.…”

mentioning

confidence: 99%

Altered Expression of Angiogenic Biomarkers in Pregnancy Associated with Gestational Diabetes

Al-ofi

Alrafiah

Maidi

et al. 2021

IJGM

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Background: Gestational diabetes mellitus (GDM) typically occurs during the third trimester of pregnancy. Maternal hyperglycemic may influence the expression of pro-and antiangiogenic factors. Altered levels of angiogenic biomarkers in GDM pregnant women are associated with abnormal placentation. This study aimed to investigate the rates of expression of five angiogenic biomarkers called vascular endothelial growth factor-A (VEGF-A), angiopoietin-2, endoglin, endothelin-1, and granulocyte colony-stimulating factor (G-CSF) in GDM. Methods: The samples were obtained from normal (n=9) and GDM (n=10) pregnancies. Multiplex assay was used to assess the levels of angiogenic biomarkers including VEGF-A, endoglin, endothelin-1, angiopoietin-2, and G-CSF in serum samples. All data were statistically analyzed using an unpaired Student's t-test. Correlations between measured parameters were made using Pearson correlations. Results: VEGF-A, endoglin, endothelin-1, and angiopoietin-2 levels in GDM were significantly higher (P value = 0.001, 0.042, 0.049, 0.001; respectively) compared to control. However, G-CSF level exhibited a non-significant increase (P=0.466) in GDM compared to healthy controls. There was a significant positive correlation between angiopoietin-2 with endoglin, endothelin-1, and VEGF-A. Moreover, there was a significant positive correlation between VEGF-A with endoglin and endothelin-1. Most interestingly, there was a significant positive correlation between G-CSF with endothelin-1. Conclusion:The angiogenic biomarkers were highly altered in pregnant women with GDM.The study provides a novel advance in the field of gestational diabetes, in terms of increase of angiogenic factors that can modify the vascularization of the placenta, the development of fetal vascular system and the insulin resistance itself.

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Impact of Serum Granulocyte-Macrophage Colony-Stimulating Factor Levels among Diabetes Patients in Hilla City - Iraq

Cited by 2 publications

References 20 publications

Serum protein signature of coronary artery disease in type 2 diabetes mellitus

Serum protein signature of coronary artery disease in type 2 diabetes mellitus

Altered Expression of Angiogenic Biomarkers in Pregnancy Associated with Gestational Diabetes

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