Sanabria-de la Torre Raquel, Montero-Vílchez Trinidad, García-Gavín Juan, Arias-Santiago Salvador
Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain; Department of Biochemistry and Molecular Biology III and Immunology, University of Granada, Granada, Spain; Dermatology Department, Virgen de las Nieves University Hospital, Granada, Spain.
Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain; Dermatology Department, Virgen de las Nieves University Hospital, Granada, Spain.
J Invest Dermatol. 2025 May;145(5):1105-1116.e6. doi: 10.1016/j.jid.2024.09.003. Epub 2024 Sep 18.
Inflammatory dermatoses and lipid disturbances are interrelated, especially owing to chronic inflammatory conditions. This study aimed to investigate recent findings about lipidomic and dermatologic diseases as well as on the sampling techniques developed to study lipidomics in vivo and analytical and statistical approaches employed. A systematic review was designed using the search algorithm (lipidomics) AND (skin OR dermatology OR stratum corneum OR sebum OR epidermis), following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The literature search identified 1013 references, and finally, only 48 were selected, including a total of 2651 participants with a mean age of 34.13 ± 16.28 years. The dermatologic diseases evaluated were atopic dermatitis, acne, psoriasis, hidradenitis suppurativa, and other skin diseases. Sebutape was the primary sampling technique for lipidomics research. Most of the studies performed untargeted profiling through liquid chromatography with tandem mass spectrometry statistically analyzed with principal component analysis, orthogonal partial least-squares discriminate analysis, heatmap, and volcano plot models. The most consulted databases were LIPIDMAPS Structure Database, MetaboAnalyst, and Human Metabolome Database. A large heterogeneity of lipidomic and lipid metabolism profiles was observed in patients with skin diseases. Skin lipidomic analysis is valuable in exploring skin disease and has ample translational potential.
炎症性皮肤病与脂质紊乱相互关联，尤其是在慢性炎症状态下。本研究旨在探讨脂质组学与皮肤病学疾病的最新研究结果，以及体内研究脂质组学所开发的采样技术，以及所采用的分析和统计方法。按照系统评价与荟萃分析的首选报告项目（PRISMA）指南，使用搜索算法（脂质组学）AND（皮肤或皮肤病学或角质层或皮脂或表皮）设计了一项系统评价。文献检索共识别出1013篇参考文献，最终仅筛选出48篇，共纳入2651名参与者，平均年龄为34.13±16.28岁。所评估的皮肤病包括特应性皮炎、痤疮、银屑病、化脓性汗腺炎和其他皮肤病。皮脂胶带是脂质组学研究的主要采样技术。大多数研究通过液相色谱-串联质谱进行非靶向分析，并采用主成分分析、正交偏最小二乘判别分析、热图和火山图模型进行统计分析。查阅最多的数据库是脂质地图结构数据库、MetaboAnalyst和人类代谢组数据库。在皮肤病患者中观察到脂质组学和脂质代谢谱的高度异质性。皮肤脂质组学分析在探索皮肤病方面具有重要价值，并且具有很大的转化潜力。
