Snake Venom-Induced Toxicity Protein Profiles from Clinical Cases

Proteomic data from 14 snakebite cases treated at the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine. Serum protein quantification was performed using LC-MS/MS, identifying 474 unique proteins and 93 differential abundance proteins. The dataset was created by Degang Dong to investigate pathways of venom-induced toxicity and antioxidant defense.

Use Cases

• Identify protein biomarkers for snake species classification based on differential abundance protein analysis.
• Study oxidative stress and antioxidant defense pathways based on protein interaction networks involving hydrogen peroxide.
• Investigate traditional Chinese medicine toxin classifications (wind-fire vs. fire toxin) based on distinct protein expression profiles.
• Analyze protein functions related to bicarbonate/oxygen transport and hydrogen peroxide catabolic processes based on Gene Ontology results.

Strengths

• Includes data from 14 clinical snakebite cases with species identification.
• Identified 474 unique proteins and 93 differential abundance proteins for analysis.
• Protein interaction network analysis clustered results into four functional groups: lipid metabolism, IGF-mediated growth, oxygen transport, and innate immunity.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Degang Dong, Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine

Collection Method

Serum protein quantification via LC-MS/MS from clinical snakebite cases.

Geography

Likely China, based on the hospital location.