Beyond the Scale: Investigating Adiponectin, ICAM-1, and VCAM-1 as Metabolic Markers in Obese Adolescents with Metabolic Syndrome

Widjaja, Nur Aisiyah; Caesar, Leonardo Alexander; Nova, Suhasta; Ardianah, Eva

doi:10.1155/2023/4574042

Cited by 2 publications

(1 citation statement)

References 77 publications

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“…LMNA (lamin A/C) [676], VCAM1 [657], DDX3X [708], S100A9 [745], FKBP5 [747], SNCA (synuclein alpha) [690], FOSL2 [1450], FHL2 [680], ATF3 [63], FOSL1 [718], S100A8 [67] and MPO (myeloperoxidase) [787] altered expression is associated with poor prognosis of diabetes mellitus. LMNA (lamin A/C) [676], VCAM1 [986], PHGDH (phosphoglycerate dehydrogenase) [1100], S100A9 [1045], FKBP5 [1046], FHL2 [1003], ATF3 [85] and MPO (myeloperoxidase) [1084] plays an important role in the development of obesity. LMNA (lamin A/C) [1127], VCAM1 [1110], S100A9 [239], TP63 [1125], JUND (JunD proto-oncogene, AP-1 transcription factor subunit) [1118], FHL2 [1132], ATF3 [93], BPI (bactericidal permeability increasing protein) [1178], DYSF (dysferlin) [1180], MPO (myeloperoxidase) [1195] and ALPL (alkaline phosphatase, biomineralization associated) [1194] were reported to be associated with the prognosis of heart problems.…”

Section: Discussionmentioning

confidence: 99%

Identification of key genes and biological pathways in chronic obstructive pulmonary disease using bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2024

Preprint

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Identification of accurate biomarkers is still particularly urgent for improving the poor survival of chronic obstructive pulmonary disease (COPD) patients. In this investigation, we aimed to identity the potential biomarkers in COPD via bioinformatics and next generation sequencing (NGS) data analysis. In this investigation, the differentially expressed genes (DEGs) in COPD were identified using NGS dataset (GSE239897) from Gene Expression Omnibus (GEO) database. Subsequently, gene ontology (GO) and pathway enrichment analysis was conducted to evaluate the underlying molecular mechanisms involved in progression of COPD. Protein-protein interaction (PPI), modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network analysis were performed to determine the hub genes, miRNAs and TFs. The receiver operating characteristic (ROC) analysis was performed to determine the diagnostic value of hub genes. A total of 956 overlapping DEGs (478 up regulated and 478 down regulated genes) were identified in the NGS dataset. DEGs were mainly associated with GO functional terms and pathways in cellular response to stimulus. response to stimulus, immune system and neutrophil degranulation. There were 10 hub genes (MYC, LMNA, VCAM1, MAPK6, DDX3X, SHMT2, PHGDH, S100A9, FKBP5 and RPS6KA2) identified by PPI, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network analysis. In conclusion, the DEGs, relative GO terms, pathways and hub genes identified in the present investigation might aid in understanding of the molecular mechanisms underlying COPD progression and provide potential molecular targets and biomarkers for COPD.

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Section: Discussionmentioning

confidence: 99%

Identification of key genes and biological pathways in chronic obstructive pulmonary disease using bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2024

Preprint

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Soluble P-selectin as an inflammatory mediator potentially influencing endothelial activation in people living with HIV in sub-rural areas of Limpopo, South Africa

Mokoena,

Mabhida,

Choshi

et al. 2024

PLoS ONE

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Objectives There is a growing need to understand the potential role of soluble platelet selectin (sP-selectin) in sustained endothelial activation through increased levels of soluble intercellular adhesion molecule-1 (sICAM-1) and soluble vascular adhesion-1 (sVCAM-1) in people living with HIV (PLWH) on highly active antiretroviral therapy (HAART). Methodology This was a cross-sectional study involving PLWH on HAART (n = 55), in comparison to PLWH not on treatment (HAART-naïve) (n = 29), and (iii) HIV negative controls (n = 48) from the Mankweng area in the Limpopo province, South Africa. We quantified serum levels of sP-selectin, together with sICAM-1 and sVCAM-1. Most of the HAART-exposed group were on treatment for <5 years. We further performed frequency distribution and descriptive statistics for categorical variables. Results Soluble P-selectin was positively correlated with sVCAM-1 (r = 0.469; p<0.001) in PLWH on HAART, even after adjusting for confounding factor such as age, BMI, and total cholesterol (r = 0.467; p<0.001). Moreover, in PLWH on HAART sP-selecting was independently associated with the release of sVCAM-1 (β = 0.445; p<0.001), even after adjusting for confounders (β = 0.475; p = 0.001). Serum levels of low-density lipoprotein cholesterol (LDL-C) (p = 0.004) and total cholesterol (p<0.001) were significantly higher in PLWH on HAART as compared to the HAART-naïve group. Conclusion There is a need for more studies to investigate the role of sP-selectin in promoting endothelial activation and CVD-risk in PLWH on HAART, especially within the sub-Saharan Africa region.

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Beyond the Scale: Investigating Adiponectin, ICAM-1, and VCAM-1 as Metabolic Markers in Obese Adolescents with Metabolic Syndrome

Cited by 2 publications

References 77 publications

Identification of key genes and biological pathways in chronic obstructive pulmonary disease using bioinformatics and next generation sequencing data analysis

Identification of key genes and biological pathways in chronic obstructive pulmonary disease using bioinformatics and next generation sequencing data analysis

Soluble P-selectin as an inflammatory mediator potentially influencing endothelial activation in people living with HIV in sub-rural areas of Limpopo, South Africa

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