biostudies-literatureSu SNational Natural Science Foundation of ChinaInnovative Leading Talents Project of ChongqingClinical Research Foundation of TMMUtkae007https://www.ebi.ac.uk/biostudies/studies/S-EPMC11097601biostudies-literatureUnknown12<h4>Background</h4>Severe burn injury causes a hypermetabolic response, resulting in muscle protein catabolism and multiple organ damage syndrome. However, this response has not yet been continuously characterized by metabolomics in patients. This study aims to quantify temporal changes in the metabolic processes of patients with severe burns.<h4>Methods</h4>We employed ¹H-nuclear magnetic resonance (NMR) spectroscopy to scrutinize metabolic alterations during the initial 35 days following burn injury in a cohort of 17 adult patients with severe burns, with 10 healthy individuals included as controls. Plasma specimens were collected from patients on postburn days 1, 3, 7, 14, 21, 28 and 35. After performing multivariate statistical analysis, repeated-measures analysis of variancBurns & trauma¹H-nuclear magnetic resonance analysis reveals dynamic changes in the metabolic profile of patients with severe burns.PMC11097601cstc2022ycjh-bgzxm0148821722022018XLC2006Peng XSu SHu JZhang YWang CWu DWei Yfalse¹H-nuclear magnetic resonance analysis reveals dynamic changes in the metabolic profile of patients with severe burns.<h4>Background</h4>Severe burn injury causes a hypermetabolic response, resulting in muscle protein catabolism and multiple organ damage syndrome. However, this response has not yet been continuously characterized by metabolomics in patients. This study aims to quantify temporal changes in the metabolic processes of patients with severe burns.<h4>Methods</h4>We employed ¹H-nuclear magnetic resonance (NMR) spectroscopy to scrutinize metabolic alterations during the initial 35 days following burn injury in a cohort of 17 adult patients with severe burns, with 10 healthy individuals included as controls. Plasma specimens were collected from patients on postburn days 1, 3, 7, 14, 21, 28 and 35. After performing multivariate statistical analysis, repeated-measures analysis of varianc2024-01-01T00:00:00Z20242026-04-12T15:31:22.148Z2026-04-07T13:17:44.044ZS-EPMC110976013875618510.1093/burnst/tkae007