Transcriptomic Analysis of Arachidonic Acid Pathway Genes Provides Mechanistic Insight into Multi-Organ Inflammatory and Vascular Diseases.
Vaishnavi AradhyulaJoshua D BreidenbachBella Z Khatib-ShahidiJulia N SlogarSonia A EyongDhilhani FaleelPrabhatchandra DubeRajesh GuptaSamer J KhouriSteven T HallerDavid J KennedyPublished in: Genes (2024)
Arachidonic acid (AA) metabolites have been associated with several diseases across various organ systems, including the cardiovascular, pulmonary, and renal systems. Lipid mediators generated from AA oxidation have been studied to control macrophages, T-cells, cytokines, and fibroblasts, and regulate inflammatory mediators that induce vascular remodeling and dysfunction. AA is metabolized by cyclooxygenase (COX), lipoxygenase (LOX), and cytochrome P450 (CYP) to generate anti-inflammatory, pro-inflammatory, and pro-resolutory oxidized lipids. As comorbid states such as diabetes, hypertension, and obesity become more prevalent in cardiovascular disease, studying the expression of AA pathway genes and their association with these diseases can provide unique pathophysiological insights. In addition, the AA pathway of oxidized lipids exhibits diverse functions across different organ systems, where a lipid can be both anti-inflammatory and pro-inflammatory depending on the location of metabolic activity. Therefore, we aimed to characterize the gene expression of these lipid enzymes and receptors throughout multi-organ diseases via a transcriptomic meta-analysis using the Gene Expression Omnibus (GEO) Database. In our study, we found that distinct AA pathways were expressed in various comorbid conditions, especially those with prominent inflammatory risk factors. Comorbidities, such as hypertension, diabetes, and obesity appeared to contribute to elevated expression of pro-inflammatory lipid mediator genes. Our results demonstrate that expression of inflammatory AA pathway genes may potentiate and attenuate disease; therefore, we suggest further exploration of these pathways as therapeutic targets to improve outcomes.
Keyphrases
- gene expression
- cardiovascular disease
- anti inflammatory
- type diabetes
- poor prognosis
- genome wide
- oxidative stress
- bioinformatics analysis
- fatty acid
- risk factors
- blood pressure
- dna methylation
- metabolic syndrome
- insulin resistance
- weight loss
- genome wide identification
- glycemic control
- weight gain
- long non coding rna
- pulmonary hypertension
- low density lipoprotein
- genome wide analysis
- physical activity
- hydrogen peroxide
- solid state
- electronic health record
- visible light