0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Human Health Effects Sign in to save

Network Toxicology and Multi-omics Analysis

Figshare 2025 Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Huang, Renfa

Summary

This is a duplicate entry for data and code supporting a computational study on how microplastics may contribute to diabetic kidney disease. The parent study used network analysis and molecular modeling to identify potential biological mechanisms linking microplastic exposure to kidney damage.

The original data code for the article "Revealing the Molecular Toxicity of Microplastics in Diabetic Nephropathy: Integrated Insights from Network Toxicology and Multi-omics Analysis."

Share this paper