MAIT Cell Data in Sepsis-Related Liver Injury from Clinical and Murine Models

A study by Wei Bu, published on figshare in April 2026, investigates the role of Mucosal-associated invariant T (MAIT) cells in sepsis-related liver injury. The research includes data from 233 human participants across four clinical groups and a murine model established via LPS injection. The findings describe MAIT cell frequency, activation, exhaustion phenotypes, and cytokine production.

Use Cases

• Modeling immune cell dynamics in sepsis based on described MAIT cell frequency and phenotype data.
• Analyzing correlations between bilirubin levels and T-cell activation/exhaustion as suggested by the in vitro findings.
• Investigating Th17-like differentiation bias in immune responses using the described cytokine production profiles (IL-17A, TNF-α, granzyme B).
• Comparing liver injury severity between immune-deficient and wild-type models as described in the murine experiments.

Strengths

• Includes data from a defined clinical cohort of 233 participants across four distinct groups.
• Combines human clinical data with experimental murine model data for validation.
• Published under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• The dataset is a 13.7 KB DOCX file, which suggests it is likely a summary document or table, not a raw data repository.
• Column-level documentation and sample data are unavailable, making direct computational analysis impossible without further extraction.
• Row count and data structure are unknown, limiting suitability assessment for machine learning.

Provenance

Source

figshare

Collection Method

Clinical cohort study and murine model experiments, with data characterized by flow cytometry.

Time Range

The study period is not specified in the provided metadata.

Freshness

Last updated 2026-04-15 05:44:20.

Geography

The geographic origin of the clinical cohort is not specified.