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Serum metabolic profiles of septic shock patients based upon co-morbidities and other underlying conditions
Molecular Omics ( IF 2.9 ) Pub Date : 2020-12-12 , DOI: 10.1039/d0mo00177e
Swarnima Pandey 1 , Mohd Adnan Siddiqui , Afzal Azim , Surendra Kumar Trigun , Neeraj Sinha
Affiliation  

Diagnosis and management of patients with septic shock is still a significant challenge for clinicians with its high mortality amongst hospitalized patients. Septic shock is a heterogeneous condition and is usually accompanied by various underlying disease conditions. Dissecting the specific metabolic changes induced by these underlying disease conditions through metabolomics has shown the potential to improve our understanding of the disease's relevant pathophysiological mechanisms, leading to improved treatment. This study has shown the metabolic alterations caused due to co-morbid conditions like diabetes, hypertension, CAD, and CKD in septic shock. It has also shown the distinct metabolic profiles of septic shock patients with underlying respiratory illnesses and encephalopathy. Metabolic profiling of sera obtained from 50 septic shock patients and 20 healthy controls was performed using high-resolution 1D 1H CPMG and diffusion-edited NMR spectra. Univariate and multivariate statistical analyses were performed to identify the potential molecular biomarkers. Noted dysregulations in amino acids, carbohydrates, and lipid metabolism were observed in septic shock patients. Further stratification within the septic shock patients based on co-morbid conditions and primary diagnosis has shown their role in causing metabolic alterations. Evaluation of these compounds during treatment will help design a personalized treatment protocol for the patients, improving therapeutics.

中文翻译:

基于合并症和其他潜在疾病的脓毒性休克患者的血清代谢特征

感染性休克患者的诊断和管理仍然是临床医生面临的重大挑战,因为住院患者的死亡率很高。感染性休克是一种异质性疾病,通常伴有各种潜在的疾病。通过代谢组学分析由这些潜在疾病引起的特定代谢变化已经显示出提高我们对疾病相关病理生理机制的理解的潜力,从而改善治疗。该研究显示了感染性休克中由糖尿病、高血压、CAD 和 CKD 等合并症引起的代谢改变。它还显示了患有潜在呼吸系统疾病和脑病的感染性休克患者的不同代谢特征。1 H CPMG 和扩散编辑 NMR 光谱。进行单变量和多变量统计分析以确定潜在的分子生物标志物。在感染性休克患者中观察到氨基酸、碳水化合物和脂质代谢异常。基于合并症和初步诊断的脓毒性休克患者的进一步分层显示了它们在引起代谢改变方面的作用。在治疗过程中对这些化合物的评估将有助于为患者设计个性化的治疗方案,从而改善治疗效果。
更新日期:2021-01-05
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