Discovering lipid phenotypic changes of sepsis-induced lung injury using high-throughput lipidomic analysis

Abstract

The aim of this study was to use lipidomics to identify lipid molecules that could predict patients with sepsis-induced lung injury.

Retracted Article: A high-throughput metabolomics strategy for discovering the influence of differential metabolites and metabolic pathways of huaxian capsules on sepsis-associated Qi deficiency and blood stasis syndrome

“…29 The integration of these approaches could bring out a substantial challenge but also a huge probability for advances in solving the problems in the TCM eld. [30][31][32][33][34] Currently, the work process of metabolomics is tedious, which is adverse to real-time data collection used for therapeutic schedule making in clinical practice. The qualitative and quantitative identication of metabolites and pathways will be indispensable to the TCM drug response and syndrome analysis.…”

Lipidomic profile and candidate biomarkers in septic patients

“…Liang et al, 2016 [70] Prospective ICU patients with sepsis induced lung injury -SLI (80) and healthy volunteers (82) Plasma samples were collected in the morning at ICU with 10 h of fasting and analyzed by chromatography/mass spectrometry. Cho et al, analyzed LPC concentration in blood samples on the first day after diagnosis of septic patients and compared them with a control group of healthy blood donors.…”

“…Schmerler et al demonstrate that acylcarnitines and glycerophosphatidylcholines may be helpful for differentiating infectious from non-infectious systemic inflammation due to their significantly higher concentration in sepsis patients [69]. Three lipids (PC(17:0/0:0, PE(P-19: 1(12Z)/0:0), PE(22:2(13Z,16Z)/15:0),)) were selected to form a biomarker group to improve risk discrimination between the sepsis-induced lung injury patients and healthy cases [70].…”

Technological advances in current metabolomics and its application in tradition Chinese medicine

“…Over the past decade, metabolomics research has provided the necessary advanced methods to identify changing metabolite levels, leading to rapid progress in disease biomarker discovery. [53][54][55] Diagnostic cancer biomarkers detected by metabolomics have gained much attention in the eld of clinical cancer research, to further understand its complex heterogeneity, to indicate changes in metabolic biomarkers during therapeutic intervention and to explore pathways involving cancer that can be used for new targets. 56 We take the colon cancer as an example to demonstrate the metabolomics used within the eld of colorectal cancer (CRC).…”