Rath Suvasmita, Hawsawi Yousef M, Alzahrani Faisal, Khan Mohammad Imran
Center of Environment, Climate Change and Public Health, Utkal University, Vani Vihar, Bhubaneswar 751004, Odisha, India.
Research Center, King Faisal Specialist Hospital and Research Center, P.O. Box 40047, Jeddah 21499, Saudi Arabia; College of Medicine, Al-Faisal University, P.O. Box 50927, Riyadh 11533, Saudi Arabia.
Semin Cell Dev Biol. 2024 Feb 15;154(Pt C):355-363. doi: 10.1016/j.semcdb.2022.09.008. Epub 2022 Sep 18.
Epigenetic factors are considered the regulator of complex machinery behind inflammatory disorders and significantly contributed to the expression of inflammation-associated genes. Epigenetic modifications modulate variation in the expression pattern of target genes without affecting the DNA sequence. The current knowledge of epigenetic research focused on their role in the pathogenesis of various inflammatory diseases that causes morbidity and mortality worldwide. Inflammatory diseases are categorized as acute and chronic based on the disease severity and are regulated by the expression pattern of various genes. Hence, understanding the role of epigenetic modifications during inflammation progression will contribute to the disease outcomes and therapeutic approaches. This review also focuses on the metabolomics approach associated with the study of inflammatory disorders. Inflammatory responses and metabolic regulation are highly integrated and various advanced techniques are adopted to study the metabolic signature molecules. Here we discuss several metabolomics approaches used to link inflammatory disorders and epigenetic changes. We proposed that deciphering the mechanism behind the inflammation-metabolism loop may have immense importance in biomarkers research and may act as a principal component in drug discovery as well as therapeutic applications.
表观遗传因素被认为是炎症性疾病背后复杂机制的调节因子，并对炎症相关基因的表达有显著贡献。表观遗传修饰可调节靶基因表达模式的变化，而不影响DNA序列。目前表观遗传学研究的重点是它们在各种炎症性疾病发病机制中的作用，这些疾病在全球范围内导致发病和死亡。炎症性疾病根据疾病严重程度分为急性和慢性，并受各种基因表达模式的调节。因此，了解表观遗传修饰在炎症进展过程中的作用将有助于疾病的转归和治疗方法。本综述还聚焦于与炎症性疾病研究相关的代谢组学方法。炎症反应和代谢调节高度整合，人们采用了各种先进技术来研究代谢特征分子。在此，我们讨论几种用于将炎症性疾病与表观遗传变化联系起来的代谢组学方法。我们提出，破解炎症-代谢循环背后的机制可能在生物标志物研究中具有巨大重要性，并且可能在药物发现以及治疗应用中充当主要成分。
