Pandey Swarnima, Siddiqui Mohd Adnan, Trigun Surendra Kumar, Azim Afzal, Sinha Neeraj
Centre of Biomedical Research, SGPGIMS Campus, Raebareli Road, Lucknow, 226014, India.
Department of Zoology, Institute of Science, Banaras Hindu University, Varanasi - 221005, India.
Mol Omics. 2022 Feb 21;18(2):143-153. doi: 10.1039/d1mo00398d.
: Sepsis and septic shock are still associated with a high mortality rate. The early-stage prediction of septic shock outcomes would be helpful to clinicians for designing their treatment protocol. In addition, it would aid clinicians in patient management by understanding gender disparity in terms of clinical outcomes of septic shock by identifying whether there are sex-based differences in sepsis-associated mortality. : This study aimed to test the hypothesis that gender-based metabolic heterogeneity is associated with sepsis survival and identify the biomarkers of mortality for septic shock in an Indian cohort. : The study was performed in an Indian population cohort diagnosed with sepsis/septic shock within 24 hours of admission. The study group was 50 patients admitted to intensive care, comprising 23 females and 27 males. Univariate and multivariate analysis were performed to identify the biomarkers for septic shock mortality and the gender-specific metabolic fingerprint in septic shock-associated mortality. : The energy-related metabolites, ketone bodies, choline, and NAG were found to be primarily responsible for differentiating survivors and non-survivors. The gender-based mortality stratification identified a female-specific association of the anti-inflammatory response, innate immune response, and β oxidation, and a male-specific association of the pro-inflammatory response to septic shock. : The identified mortality biomarkers may help clinicians estimate the severity of a case, as well as predict the outcome and treatment efficacy. The study underlines that gender is one of the most significant biological factors influencing septic shock metabolomic profiles. This understanding can be utilized to identify novel gender-specific biomarkers and innovative targets relevant for gender medicine.
脓毒症和脓毒性休克的死亡率仍然很高。脓毒性休克预后的早期预测将有助于临床医生设计治疗方案。此外,通过确定脓毒症相关死亡率是否存在基于性别的差异,了解脓毒性休克临床结果中的性别差异,这将有助于临床医生进行患者管理。本研究旨在验证基于性别的代谢异质性与脓毒症生存率相关这一假设,并确定印度队列中脓毒性休克死亡率的生物标志物。该研究在入院24小时内被诊断为脓毒症/脓毒性休克的印度人群队列中进行。研究组为50名入住重症监护病房的患者,其中23名女性和27名男性。进行单变量和多变量分析以确定脓毒性休克死亡率的生物标志物以及脓毒性休克相关死亡率中的性别特异性代谢指纹。发现能量相关代谢物、酮体、胆碱和N-乙酰葡糖胺是区分幸存者和非幸存者的主要因素。基于性别的死亡率分层确定了抗炎反应、先天免疫反应和β氧化在女性中存在特异性关联,以及脓毒性休克促炎反应在男性中存在特异性关联。所确定的死亡率生物标志物可能有助于临床医生评估病例的严重程度,以及预测预后和治疗效果。该研究强调性别是影响脓毒性休克代谢组学特征的最重要生物学因素之一。这种认识可用于识别与性别医学相关的新型性别特异性生物标志物和创新靶点。