UPLC-MS/MS dataset from 10 batches of temporal samples from paired subjects

Sleep deprivation (SD) produces a wide range of acute and chronic physiological effects. Acute SD impairs multiple neurobehavioral functions, including attention and cognition, which can substantially reduce quality of life and may even become life-threatening in situations requiring sustained vigilance, such as long-distance driving. Notably, the neurobehavioral response to SD varies markedly across individuals: while some remain relatively resistant to sleep loss, others exhibit pronounced vulnerability. The molecular mechanisms underlying this inter-individual variability remain poorly understood. We hypothesized that differences in the dynamic regulation of metabolic rhythms may contribute to these distinct neurobehavioral phenotypes. To test this, we compared the temporal metabolic profiles of 20 age-, sex-, and BMI-matched individuals classified as either SD-resistant (n=10) or SD-vulnerable (n=10). Plasma samples were collected at 4-hour intervals during a baseline day and during 36 hours of total SD and analyzed using UPLC-MS/MS-based metabolomics. We examined metabolite dynamics associated with both homeostatic sleep pressure and circadian rhythmicity. Plasma samples of ten pairs of subjects were analyzed using 10 batches of UPLC-MS/MS run. Data was integrated and normalized using PQN method. The data was batch corrected using ComBat.