Probiotic Heavy Metal Detoxification Assessment in Simulated Gut Models
by Marco Pane·Updated 1mo ago
16.3 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
Marco Pane's dataset, published on figshare in April 2026, contains results from a study evaluating three probiotic lactobacilli strains for detoxifying cadmium, chromium, mercury, and lead. The data likely includes measurements from a Simulator of the Human Intestinal Microbial Ecosystem (SHIME®) model and a gut ex vivo system, assessing strain survival, metal sequestration, and effects on intestinal barrier integrity.
Use Cases
Compare strain-specific detoxification efficacy based on the described performance of Lactiplantibacillus plantarum LP14, Lactobacillus crispatus LCR04, and Lactobacillus acidophilus LA12.
Analyze the relationship between probiotic metabolic activity and heavy metal removal based on the mechanistic finding linking proliferation to substantial HM removal.
Model the mitigation of heavy metal-induced intestinal damage based on the described restoration of permeability and cytokine profiles in the ex vivo system.
Strengths
Data is derived from a dynamic Simulator of the Human Intestinal Microbial Ecosystem (SHIME®) model, simulating sequential gastric, small-intestinal, and colonic conditions.
Results include assessments of three specific probiotic strains (LP14, LCR04, LA12) against four specific heavy metals (cadmium, chromium, mercury, lead).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The dataset is very small (16.3 KB), indicating limited scope or summary-level data.
Provenance
Source
figshare
Collection Method
Experimental assessment using SHIME® model and gut ex vivo system.
Freshness
Last updated 2026-04-29 05:56:56; freshness should be verified.
Data is provided in XLSX format; requires spreadsheet software or library for analysis.