Takić Marija, Jovanović Vesna, Marković Suzana, Miladinović Zoran, Jadranin Milka, Krstić Gordana, Miljević Čedo, Tešević Vele, Mandić Boris
Group for Nutrition and Metabolism, Center of Research Excellence for Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Dr Subotića 4, 11000 Belgrade, Serbia.
University of Belgrade-Faculty of Chemistry, Studentski trg 12-16, 11000 Belgrade, Serbia.
Int J Mol Sci. 2025 Jun 26;26(13):6134. doi: 10.3390/ijms26136134.
Bipolar disorder (BD) and schizophrenia (SCH) are results of the complex interactions between genetic and environmental factors, and the underlying pathophysiology is not yet completely understood. The current diagnostic criteria for psychiatric diagnosis are based purely on clinical phenomenology and they are limited to psychiatrist judgment after a standardized clinical interview, with no precise biomarkers used to discriminate between the disorders. Besides gaps in the understanding and diagnosis of these diseases, there is also a need for personalized and precise approaches to patients through customized medical treatment and reliable monitoring of treatment response. To fulfill existing gaps, the establishment of disorder biomarker sets is a necessary step. LC-MS lipidomic blood sample analysis is one of the ongoing omics approaches. In the last ten years, several studies have identified alterations in lipid metabolism associated with BD and SCH, and this review summarizes current knowledge on their lipidomic patterns, which is essential for identifying lipid biomarkers. Currently, findings indicate decreases in plasmalogens and acyl-carnitines, along with increases in certain triacylglycerol species, shared by both conditions. In contrast, serum LC-MS lipidomic profiles of sphingolipids including ceramides could be unique to BD, indicating the need for further investigation in future studies.
双相情感障碍(BD)和精神分裂症(SCH)是遗传因素与环境因素复杂相互作用的结果,其潜在的病理生理学尚未完全明确。目前精神疾病诊断的标准完全基于临床现象学,仅限于在标准化临床访谈后由精神科医生进行判断,没有精确的生物标志物用于区分这些疾病。除了在这些疾病的理解和诊断方面存在差距外,还需要通过定制化医疗和对治疗反应的可靠监测,为患者提供个性化和精准的治疗方法。为填补现有差距,建立疾病生物标志物集是必要的一步。液相色谱 - 质谱联用脂质组学血液样本分析是正在进行的组学方法之一。在过去十年中,多项研究已确定与双相情感障碍和精神分裂症相关的脂质代谢改变,本综述总结了目前关于它们脂质组学模式的知识,这对于识别脂质生物标志物至关重要。目前的研究结果表明,这两种疾病都存在缩醛磷脂和酰基肉碱减少,以及某些三酰甘油种类增加的情况。相比之下,包括神经酰胺在内的鞘脂类血清液相色谱 - 质谱联用脂质组学谱可能是双相情感障碍所特有的,这表明未来的研究需要进一步深入探究。