Multi-Omics Data on Autonomic Dysfunction and Atrial Fibrillation with In Vivo Validation

A clinical cohort and bioinformatic dataset investigating links between autonomic dysfunction and atrial fibrillation. The data includes targeted LC–MS/MS profiling of 39 plasma neurotransmitters, atrial transcriptomes, and results from an Ang II–infused mouse model. It was authored by Xiaohan Zhang and last updated on 2026-05-22.

Use Cases

• Identify plasma neurotransmitter signatures associated with atrial fibrillation based on the 39-analyte LC–MS/MS profile.
• Validate bioinformatic hub gene predictions (e.g., CDKN2D, FYTTD1) using integrated atrial transcriptome and sympathetic neuron activation data.
• Investigate the role of CD47-mediated efferocytosis in atrial inflammation and remodeling using the described immune infiltration analyses.
• Assess the therapeutic modulation of the ANS–immune axis using data from the valsartan-intervention mouse model.

Strengths

• Includes multi-modal data from a clinical cohort, transcriptomics, and an in vivo mouse model for validation.
• Targeted profiling covers 39 specific plasma neurotransmitters.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 2.5 MB DOCX document, which may not be a standard format for structured data analysis.

Provenance

Source

figshare

Collection Method

Targeted LC–MS/MS profiling, transcriptomic analysis, and in vivo validation using an Ang II–infused mouse model.

Freshness

Last updated 2026-05-22 07:38:51; freshness should be verified.