Preksha Dhyana Meditation Serum Metabolomics and Lipidomics Data

Bassam Abomoelak's study provides metabolomic and lipidomic analysis of serum samples from 43 participants. The data captures metabolite and lipid concentration levels before and after an 8-week Preksha Dhyana meditation intervention. The dataset was last updated on 2026-04-15 and is licensed under CC-BY-4.0.

Use Cases

• Identify biomarkers for meditation response based on metabolite and lipid concentration changes.
• Perform pathway enrichment analysis based on described associations with purine degradation, glycerophospholipid, and glutathione metabolism.
• Conduct multi-omics correlation analysis based on described links between metabolites, DNA methylation sites, and cognitive outcomes.
• Study the relationship between lysophosphatidylcholine (LPC) and lysophosphatidylethanolamine (LPE) species and cellular membrane integrity.

Strengths

• Includes pre- and post-intervention data from 38 meditation-naïve participants and 5 controls.
• Analysis identified specific metabolites (hypoxanthine, oxoproline, choline, cystine) and lipid species with statistical significance (Bonferroni correction p < 0.05, FDR).
• Linked to a registered clinical trial (NCT03779269).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (827.3 KB), indicating limited scope.

Provenance

Source

figshare, author Bassam Abomoelak.

Collection Method

Serum samples analyzed using capillary electrophoresis and reversed-phase liquid chromatography coupled to electrospray ionization–mass spectrometry.

Time Range

Data collection occurred around an 8-week meditation intervention.

Freshness

Last updated 2026-04-15 04:22:03; freshness should be verified.

Geography

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