Herpes Zoster Pain Outcomes Predicted by VZV Genotypes and gE Mutations

A 2026 study by Ying Shi integrates viral genotypic features and host immune responses to predict pain outcomes in herpes zoster. The dataset likely contains clinical and immunological data from 52 outpatients in Chongqing, with 46 samples sequenced. A predictive model for pain relief was developed using L1-regularized regression.

Use Cases

• Predicting poor pain relief outcomes based on VZV genotype and gE mutation patterns.
• Analyzing associations between glycoprotein E mutations and immunological markers like gE antigen and antibody levels.
• Investigating the distribution of VZV genotypes (Clade 2, 3, 4, etc.) in a specific patient cohort.
• Building regression models for clinical stratification using viral and host immune variables.

Strengths

• Includes detailed viral sequencing data for 46 samples, identifying specific gE mutations and VZV genotypes.
• Integrates multiple data types: clinical pain outcomes, immunological indicators (gE antigen, antibodies, IgG, complement, CD4+ T cells), and viral genomic features.
• The predictive model for pain outcomes demonstrated good performance with an AUC of 0.87.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific geographic bias, being from 52 outpatients in Chongqing.

Provenance

Source

figshare

Collection Method

Clinical study involving sequencing, immunological assays, and predictive modeling.

Freshness

Last updated 2026-04-29 05:58:19; freshness should be verified.

Geography

Chongqing, China