Exhaled Breath Condensate Proteomic and Metabolomic Data from a PM2.5 Panel Study in China

Proteomic and metabolomic data from a 35-day panel study of 30 healthy young adult males in Shijiazhuang, China, under ambient PM2.5 exposure. The dataset includes measurements from exhaled breath condensate, plasma, and urine, linked to personal PM2.5 concentrations and health indicators. It was authored by Qian Song and last updated in May 2026.

Use Cases

• Identify protein expression changes in exhaled breath condensate based on PM2.5 exposure levels mentioned in the description
• Analyze disrupted energy metabolism and lipid homeostasis linked to inflammatory responses from metabolomic data
• Validate cross-compartment biomarkers like leucine, ornithine, and phenylalanine across EBC, plasma, and urine
• Correlate molecular signatures with mild lung function decline and systemic inflammation data

Strengths

• Data is linked to quantified personal PM2.5 exposure, with average (73.08 μg/m³), high (131.33 μg/m³), and low (40.46 μg/m³) periods
• Includes multi-omic data (proteomic and metabolomic) from a minimally invasive matrix (exhaled breath condensate)
• Study design involves 30 participants over a 35-day panel, providing longitudinal context

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is from a specific demographic (30 healthy young adult males in one Chinese city), which may limit generalizability

Provenance

Source

figshare, author Qian Song

Collection Method

Collected via a 35-day panel study measuring personal PM2.5 exposure and multi-omic profiling of biological samples.

Time Range

Study period not specified beyond the 35-day panel duration.

Freshness

Last updated 2026-05-21 09:22:47; freshness should be verified

Geography

Shijiazhuang, China