Table 2: Multi-Omics Data Linking Autonomic Dysfunction and Atrial Fibrillation

Multi-omics evidence from a clinical cohort and mouse model suggests an autonomic-immune-atrial remodeling axis in atrial fibrillation. The dataset likely contains results from targeted LC–MS/MS profiling of 39 plasma neurotransmitters, integrated atrial transcriptomes, and in vivo validation data. Author Xiaohan Zhang uploaded this 14.8 KB Excel file to figshare in May 2026 under a CC-BY-4.0 license.

Use Cases

• Training machine learning models for AF susceptibility based on the autonomic-imbalance neurotransmitter signature.
• Validating bioinformatic hub genes (CDKN2D, FYTTD1, LRR1, POPDC3) identified through multi-omics integration.
• Studying the role of CD47-mediated efferocytosis in atrial inflammation and remodeling.
• Assessing the therapeutic effects of valsartan on autonomic remodeling and calcium handling in an Ang II-infused model.

Strengths

• Includes targeted profiling of 39 specific plasma neurotransmitters.
• Integrates data from a clinical cohort, transcriptomic analysis, and an in vivo mouse model for validation.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small (14.8 KB), indicating limited scope, likely a summary table of key results.
• Description metadata is limited; actual data quality and completeness require manual inspection.

Provenance

Source

figshare, author Xiaohan Zhang.

Collection Method

Targeted LC–MS/MS profiling, transcriptomic integration (DEGs, WGCNA), machine-learning feature selection, and in vivo validation with an Ang II–infused mouse model.

Freshness

Last updated 2026-05-22 07:38:52; freshness should be verified.