Ion Source & Biotechnologies (ISB) srl, Biotechnology, Bresso, Italy.
Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Multimedica, Biotechnology and cardiovascular medicine, Milan, Italy.
Rapid Commun Mass Spectrom. 2021 Jan 30;35(2):e8976. doi: 10.1002/rcm.8976.
Advances in metabolomics, together with consolidated genetic approaches, have opened the way for investigating the health of patients using a large number of molecules simultaneously, thus providing firm scientific evidence for personalized medicine and consequent interventions. Metabolomics is an ideal approach for investigating specific biochemical alterations occurring in rare clinical situations, such as those caused by rare associations between comorbidities and immunosuppression.
Metabolomic database matching enables clear identification of molecular factors associated with a metabolic disorder and can provide a rationale for elaborating personalized therapeutic protocols. Mass spectrometry (MS) forms the basis of metabolomics and uses mass-to-charge ratios for metabolite identification. Here, we used an MS-based approach to diagnose and develop treatment options in the clinical case of a patient afflicted with a rare disease further complicated by immunosuppression. The patient's data were analyzed using proprietary databases, and a personalized and efficient therapeutic protocol was consequently elaborated.
The patient exhibited significant alterations in homocysteine:methionine and homocysteine:thiodiglycol acid plasma concentration ratios, and these were associated with low immune system function. This led to cysteine concentration deficiency causing extreme oxidative stress. Plasmatic thioglycolic acid concentrations were initially altered and were used for therapeutic follow-up and to evaluate cysteine levels.
An MS-based pharmacometabolomics approach was used to define a personalized protocol in a clinical case of rare peritoneal carcinosis with confounding immunosuppression. This personalized protocol reduced both oxidative stress and resistance to antibiotics and antiviral drugs.
代谢组学的进步,加上巩固的遗传方法,为同时研究大量分子的患者健康开辟了道路,从而为个性化医学和随之而来的干预措施提供了坚实的科学依据。代谢组学是研究罕见临床情况下特定生化改变的理想方法,例如由罕见的合并症和免疫抑制之间的关联引起的情况。
代谢组学数据库匹配可明确识别与代谢紊乱相关的分子因素,并为制定个性化治疗方案提供依据。质谱 (MS) 是代谢组学的基础,它使用质荷比来识别代谢物。在这里,我们使用基于 MS 的方法来诊断和制定患有罕见疾病的患者的治疗方案,该患者进一步因免疫抑制而变得复杂。使用专有的数据库分析患者的数据,并随后精心制定个性化和有效的治疗方案。
患者的同型半胱氨酸:蛋氨酸和同型半胱氨酸:硫代二甘酸血浆浓度比发生显著变化,这与免疫系统功能低下有关。这导致半胱氨酸浓度缺乏引起极端的氧化应激。最初改变了血浆硫代甘氨酸酸浓度,并用于治疗随访和评估半胱氨酸水平。
在伴有免疫抑制的罕见腹膜癌的临床病例中,使用基于 MS 的临床药物代谢组学方法来定义个性化方案。该个性化方案降低了氧化应激和对抗生素和抗病毒药物的耐药性。