Teixeira Francisca S, Costa Paula T, Soares Ana M S, Fontes Ana Luiza, Pintado Manuela E, Vidigal Susana S M P, Pimentel Lígia L, Rodríguez-Alcalá Luís M
CBQF-Centro de Biotecnologia e Química Fina-Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal.
Foods. 2023 Jul 1;12(13):2576. doi: 10.3390/foods12132576.
Lipid molecules, such as policosanol, ergosterol, sphingomyelin, omega 3 rich phosphatidylcholine, α-tocopherol, and sodium butyrate, have emerged as novel additions to the portfolio of bioactive lipids. In this state-of-the-art review, we discuss these lipids, and their activity against obesity and mental or neurological disorders, with a focus on their proposed cellular targets and the ways in which they produce their beneficial effects. Furthermore, this available information is compared with that provided by in silico Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) models in order to understand the usefulness of these tools for the discovery of new bioactive compounds. Accordingly, it was possible to highlight how these lipids interact with various cellular targets related to the molecule transportation and absorption (e.g., α-tocopherol transfer protein for α-Tocopherol, ATP-binding cassette ABC transporters or Apolipoprotein E for sphingomyelins and phospholipids) or other processes, such as the regulation of gene expression (involving Sterol Regulatory Element-Binding Proteins for ergosterol or Peroxisome Proliferator-Activated Receptors in the case of policosanol) and inflammation (the regulation of interleukins by sodium butyrate). When comparing the literature with in silico Quantitative Structure-Activity Relationship (QSAR) models, it was observed that although they are useful for selecting bioactive molecules when compared in batch, the information they provide does not coincide when assessed individually. Our review highlights the importance of considering a broad range of lipids as potential bioactives and the need for accurate prediction of ADMET parameters in the discovery of new biomolecules. The information presented here provides a useful resource for researchers interested in developing new strategies for the treatment of obesity and mental or neurological disorders.
诸如多廿醇、麦角固醇、鞘磷脂、富含ω-3的磷脂酰胆碱、α-生育酚和丁酸钠等脂质分子,已成为生物活性脂质组合中的新成员。在本前沿综述中,我们讨论了这些脂质及其对肥胖症和精神或神经疾病的活性,重点关注其假定的细胞靶点以及它们产生有益作用的方式。此外,将这些现有信息与计算机模拟的吸收、分布、代谢、排泄和毒性(ADMET)模型提供的信息进行比较,以了解这些工具在发现新生物活性化合物方面的有用性。因此,有可能突出这些脂质如何与与分子运输和吸收相关的各种细胞靶点相互作用(例如,α-生育酚的α-生育酚转移蛋白、鞘磷脂和磷脂的ATP结合盒式ABC转运蛋白或载脂蛋白E)或其他过程,如基因表达的调节(麦角固醇涉及固醇调节元件结合蛋白,多廿醇则涉及过氧化物酶体增殖物激活受体)和炎症(丁酸钠对白介素的调节)。在将文献与计算机模拟的定量构效关系(QSAR)模型进行比较时,发现尽管在批量比较时它们有助于选择生物活性分子,但单独评估时它们提供的信息并不一致。我们的综述强调了将广泛的脂质视为潜在生物活性物质的重要性,以及在发现新生物分子时准确预测ADMET参数的必要性。此处提供的信息为有兴趣开发治疗肥胖症和精神或神经疾病新策略的研究人员提供了有用的资源。