ArticleFrontiers in molecular neuroscience2022
Characterization of plasma metabolites and proteins in patients with herpetic neuralgia and development of machine learning predictive models based on metabolomic profiling.
Article in Frontiers in molecular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.
- Advancements in Herpes Zoster Diagnosis, Treatment, and Management: Systematic Review of Artificial Intelligence Applications.Journal of medical Internet research · 2025Pooled it
- Evaluating the efficacy of machine learning in predicting postherpetic neuralgia: a systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- Risk prediction models for postherpetic neuralgia: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Current state of research and future developments of artificial intelligence in pain diagnosis and treatment.Journal of translational medicine · 2026Review
- Prediction of Postherpetic Neuralgia in Patients with Acute and Subacute Herpetic Neuralgia Using Structural Magnetic Resonance Imaging: A Retrospective Study.Pain and therapy · 2026Article
- Unraveling immune-inflammation-aging network interactions: an interpretable machine learning model predicts the risk of postherpetic neuralgia.Frontiers in immunology · 2026Article
- NMRAL1 as a Causal Factor in Postherpetic Neuralgia: A Proteome-Wide Mendelian Randomization Study.Journal of pain research · 2025Article
- S100A8/A9 in herpes zoster neuralgia: molecular mechanisms and therapeutic perspectives.Frontiers in immunology · 2025Review
- Identifying and Evaluating Biological Markers of Postherpetic Neuralgia: A Comprehensive Review.Pain and therapy · 2024Review
- Exploring blood transcriptomic signatures in patients with herpes zoster and postherpetic neuralgia.Frontiers in cellular and infection microbiology · 2024Article
- Investigating the causal effect of various metabolites on postherpetic neuralgia: a Mendelian randomization study.Frontiers in neurology · 2024Article
- Cerebrospinal Fluid Proteomic Profiles in Patients with Postherpetic Neuralgia.Journal of proteome research · 2023Article
- Development and validation of a machine learning model for predicting postherpetic neuralgia risk.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Herpes zoster (HZ) is a localized, painful cutaneous eruption that occurs upon reactivation of the herpes virus. Postherpetic neuralgia (PHN) is the most common chronic complication of HZ. In this study, we examined the metabolomic and proteomic signatures of disease progression in patients with HZ and PHN. We identified differentially expressed metabolites (DEMs), differentially expressed proteins (DEPs), and key signaling pathways that transition from healthy volunteers to the acute or/and chronic phases of herpetic neuralgia. Moreover, some specific metabolites correlated with pain scores, disease duration, age, and pain in sex dimorphism. In addition, we developed and validated three optimal predictive models (AUC > 0.9) for classifying HZ and PHN from healthy individuals based on metabolic patterns and machine learning. These findings may reveal the overall metabolomics and proteomics landscapes and proposed the optimal machine learning predictive models, which provide insights into the mechanisms of HZ and PHN.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.