Integrated Omics Analysis Uncovers the Culprit behind Exacerbated Atopic Dermatitis in a Diet-Induced Obesity Model.
You Mee AhnJeeyoun JungSo Min LeePublished in: International journal of molecular sciences (2024)
Atopic dermatitis (AD), a chronic inflammatory skin disease, is exacerbated by obesity, yet the precise linking mechanism remains elusive. This study aimed to elucidate how obesity amplifies AD symptoms. We studied skin samples from three mouse groups: sham control, AD, and high-fat (HF) + AD. The HF + AD mice exhibited more severe AD symptoms than the AD or sham control mice. Skin lipidome analysis revealed noteworthy changes in arachidonic acid (AA) metabolism, including increased expression of pla2g4 , a key enzyme in AA generation. Genes for phospholipid transport ( Scarb1 ) and acyltransferase utilizing AA as the acyl donor ( Agpat3 ) were upregulated in HF + AD skin. Associations were observed between AA-containing phospholipids and skin lipids containing AA and its metabolites. Furthermore, imbalanced phospholipid metabolism was identified in the HF + AD mice, marked by excessive activation of the AA and phosphatidic acid (PA)-mediated pathway. This imbalance featured increased expression of Plcb1 , Plcg1 , and Dgk involved in PA generation, along with a decrease in genes converting PA into diglycerol (DG) and CDP-DG ( Lpin1 and cds1 ). This investigation revealed imbalanced phospholipid metabolism in the skin of HF + AD mice, contributing to the heightened inflammatory response observed in HF + AD, shedding light on potential mechanisms linking obesity to the exacerbation of AD symptoms.
Keyphrases
- high fat diet induced
- insulin resistance
- inflammatory response
- metabolic syndrome
- weight loss
- soft tissue
- type diabetes
- atopic dermatitis
- weight gain
- wound healing
- fatty acid
- poor prognosis
- single cell
- oxidative stress
- risk assessment
- dna methylation
- climate change
- intensive care unit
- binding protein
- body mass index
- skeletal muscle
- long non coding rna
- bioinformatics analysis
- genome wide identification
- data analysis
- double blind