Dash Pujarini, Mohapatra Soumya R, Pati Sanghamitra
Regional Medical Research Centre, Bhubaneswar, India.
Department of Research and Development, Kalinga Institute of Medical Sciences, KIIT Deemed to Be University, Bhubaneswar, India.
Front Mol Biosci. 2022 Mar 11;9:848971. doi: 10.3389/fmolb.2022.848971. eCollection 2022.
Multimorbidity, the simultaneous presence of two or more chronic diseases, affects the health care to a great extent. Its association with health care cost, more disability, and poor quality of life makes it a major public health risk. The matter of worry is that management of a multimorbid condition is complicated by the fact that multiple types of treatment may be required to treat different diseases at a time, and the interaction between some of the therapies can be detrimental. Understanding the causal factors of simultaneously occurring disease conditions and investigating the connected pathways involved in the whole process may resolve the complication. When different disease conditions present in an individual share common responsible factors, treatment strategies targeting at those common causes will certainly reduce the chance of development of multimorbidity occurring because of those factors. Metabolomics that can dig out the underlying metabolites/molecules of a medical condition is believed to be an effective technique for identification of biomarkers and intervention of effective treatment strategies for multiple diseases. We hypothesize that understanding the metabolic profile may shed light on targeting the common culprit for different/similar chronic diseases ultimately making the treatment strategy more effective with a combinatorial effect.
多重疾病，即同时存在两种或更多慢性疾病，在很大程度上影响着医疗保健。它与医疗费用增加、更多残疾以及生活质量差相关联，使其成为一个重大的公共卫生风险。令人担忧的是，多重疾病状态的管理很复杂，因为可能需要同时采用多种类型的治疗来治疗不同疾病，而且某些治疗之间的相互作用可能是有害的。了解同时发生的疾病状况的因果因素并研究整个过程中涉及的相关途径可能会解决这一复杂性。当个体中不同的疾病状况有共同的责任因素时，针对这些共同原因的治疗策略肯定会降低因这些因素而发生多重疾病的几率。代谢组学能够挖掘出疾病潜在的代谢物/分子，被认为是一种识别生物标志物以及干预多种疾病有效治疗策略的有效技术。我们假设，了解代谢谱可能有助于针对不同/相似慢性疾病的共同罪魁祸首进行靶向治疗，最终使治疗策略通过联合效应更有效。
