Dataset
Metabolomic stratification of long COVID reveals inflammatory and neuroendocrine subtypes and divergent recovery trajectories
- Documentation:
- This dataset contains the metabolomic data from a study of Long COVID. Participants were non-hospitalised adults with confirmed SARS-CoV-2 infection, recruited in Oxford, UK: 65 with Long COVID and 64 recovered COVID-19 controls, frequency-matched for age, sex, and BMI. Samples were collected at baseline and, where available, at follow-up 9–12 months later (42 with Long COVID, 44 controls). Serum and urine ¹H NMR spectra were acquired on a 950 MHz Bruker Avance III HD spectrometer (serum: CPMG; urine: 1D NOESY presaturation). Resonances were manually integrated and sum-normalised, and are reported as relative intensities. Variables are labelled by chemical-shift range in ppm, prefixed S (serum) or U (urine). Serum steroids and endocannabinoids were quantified by targeted LC-MS/MS (SCIEX 7500). Baseline and follow-up LC-MS/MS data were acquired in separate batches and are not directly comparable in absolute terms.
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- Files:
-
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(Submitted manuscript under review, sheet, 720.3KB, Terms of use)
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Authors/Creators
Contributors
+ Xiong, W
- Role:
- Contributor
+ Miller, J
- Role:
- Contributor
+ Anthony, S
- Role:
- Contributor
+ Hofer, L
- Role:
- Contributor
+ Kråkström, M
- Role:
- Contributor
+ Wellcome Trust
More from this funder
- Funder identifier:
- https://ror.org/029chgv08
- Grant:
- 223501/Z/21/Z
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- 2758414
- Publisher:
- University of Oxford
- Publication date:
- 2026
- DOI:
- Language:
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English
- Keywords:
- Pubs id:
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2468085
- Local pid:
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pubs:2468085
- Deposit date:
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2026-10-18
- ARK identifier:
Terms of use
- Copyright date:
- 2026
- Licence:
- CC Attribution (CC BY)
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