Longitudinal Transcriptomic and Metabolomic Profiles for Non-Hospitalized Long COVID Cases

Integrated transcriptomic and metabolomic data from a longitudinal cohort study of 12 non-hospitalized healthcare workers with long COVID and 35 matched controls. The dataset includes whole-blood RNA sequencing results from the NanoString nCounter PanCancer Immune Panel and serum metabolite profiles from untargeted mass spectrometry. It was authored by Estefanía Espín and last updated on June 4, 2026.

Use Cases

• Identify candidate biomarkers for long COVID based on the 63 differentially expressed genes and 24 annotated metabolites.
• Analyze coordinated immune-metabolic dysregulation using integrated network and pathway analysis results.
• Investigate longitudinal metabolic trajectories, such as oxoglutarate levels, in post-acute COVID-19 sequelae.
• Study pathway-level convergence on biological processes like necroptosis and serotonergic synapse signaling.
• Validate findings related to neutrophil-associated inflammatory pathways (e.g., S100A8, LY96) in independent cohorts.

Strengths

• Includes multi-omic data integration (transcriptomics and metabolomics) from the same cohort.
• Focuses on an underrepresented population: 12 non-hospitalized healthcare workers with long COVID.
• Employs a longitudinal design with pre- and post-infection serum metabolite sampling.
• Uses matched controls (N=35) who recovered from SARS-CoV-2 infection without sequelae.

Limitations

• The cohort size is small (12 cases), which limits statistical power and generalizability.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.

Provenance

Source

figshare

Collection Method

Whole-blood RNA profiling via NanoString nCounter PanCancer Immune Panel and serum metabolite analysis via untargeted ultra-high-performance liquid chromatography–mass spectrometry.

Freshness

Last updated 2026-06-04 05:44:40; freshness should be verified.