Department of Dermatology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
Department of Dermatology, Taiyuan Central Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Drug Des Devel Ther. 2024 Sep 6;18:4003-4016. doi: 10.2147/DDDT.S476649. eCollection 2024.
Acne vulgaris (AV), a chronic inflammatory pilosebaceous disorder, affects 80-90% of teenagers. This study aimed to discover lipid profiles and biomarkers of the rabbit ear acne model, and investigate the mechanism of isotretinoin in treating acne at the lipid level.
Untargeted lipidomic analysis using ultra-high performance liquid chromatography system (UHPLC) coupled to q-extraction plus was performed to identify skin lipid metabolites in blank control (groups C), model group (group M) and isotretinoin group (group T). Multivariate statistical analysis was used to process the lipidomics data.
A total of 43 lipid classes comprising 6989 lipid species were identified from the mass spectrometry data. The orthogonal partial least squares discriminant analysis (OPLS-DA) model demonstrated significant separation in skin lipidomic profiles between group M and group C. With variable influence on projection (VIP) > 1.0 and P-value < 0.05, 299 significantly different lipid metabolites were identified. These lipid metabolites consisted mainly of ceramides (Cer) (53.85%), phosphatidylethanolamines (PE) (9.03%), phosphatidylcholines (PC)(5.35%), and sphingomyelin (SM)(4.01%). Combining with AUC ≥ 0.9 as the elected criteria, Cer (d18;1_24:0), zymosterol (ZyE)(33:5), Cer (t43:1), ZyE (33:6), ZyE (24:7), and ZyE (35:6) have "high" accuracy. Isotretinoin treatment normalized 25 lipid metabolites in the acne model.
Our findings provide new insights into the role of lipid metabolism in the pathogenesis of acne and the action mechanism of isotretinoin.
寻常痤疮（AV）是一种慢性炎症性毛囊皮脂腺疾病，影响 80-90%的青少年。本研究旨在发现兔耳痤疮模型的脂质谱和生物标志物，并从脂质水平探讨异维 A 酸治疗痤疮的机制。
使用超高效液相色谱系统（UHPLC）与 q-提取 plus 联用进行非靶向脂质组学分析，以鉴定空白对照（C 组）、模型组（M 组）和异维 A 酸组（T 组）皮肤中的脂质代谢物。使用多变量统计分析处理脂质组学数据。
从质谱数据中鉴定出 43 个脂质类，包含 6989 个脂质种类。正交偏最小二乘判别分析（OPLS-DA）模型显示 M 组和 C 组之间皮肤脂质组学图谱有显著分离。具有 VIP>1.0 和 P 值<0.05 的 299 种差异显著的脂质代谢物被鉴定出来。这些脂质代谢物主要由神经酰胺（Cer）（53.85%）、磷脂酰乙醇胺（PE）（9.03%）、磷脂酰胆碱（PC）（5.35%）和鞘磷脂（SM）（4.01%）组成。结合 AUC≥0.9 作为选择标准，Cer（d18;1_24:0）、zymosterol（ZyE）（33:5）、Cer（t43:1）、ZyE（33:6）、ZyE（24:7）和 ZyE（35:6）具有“高”准确性。异维 A 酸治疗使痤疮模型中的 25 种脂质代谢物恢复正常。
我们的研究结果为脂质代谢在痤疮发病机制和异维 A 酸作用机制中的作用提供了新的见解。
