Evidence map›Paper›PMID 42658336›Full record

ReviewNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Immunoinflammatory mechanisms and emerging therapies for postherpetic neuralgia.

Shunv He, Dan Deng, Wen-Fei Luo

Abstract readReview
In one paragraph

Review in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shunv HeHangzhou Linping Integrated Traditional Chinese and Western Medicine Hospital, Hangzhou, Zhejiang, China.
Dan DengHangzhou Linping Integrated Traditional Chinese and Western Medicine Hospital, Hangzhou, Zhejiang, China.
Wen-Fei LuoNingxia Medical University, The General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China. luowf728@nxmu.edu.cn.

Funding

Hangzhou Municipal Medical and Health Science and Technology Project Grant No. B20254968
6 · The paper itself

Abstract

This review examines the immunoinflammatory mechanisms underlying postherpetic neuralgia (PHN) and emerging mechanism-based therapies. PHN is increasingly recognized as a neuroimmune disorder driven by varicella-zoster virus reactivation, peripheral nerve injury, cytokine-mediated inflammation, oxidative stress, glial activation, and central sensitization. Although conventional treatments, including antidepressants, anticonvulsants, topical agents, opioids, and neuromodulation, provide symptomatic relief, they rarely modify the underlying disease process. A key scientific gap is the lack of consensus on the optimal timing, patient selection, and targets for immunomodulatory, gene-based, or RNA-based interventions to prevent the transition from acute neuroinflammation to chronic pain. Therefore, this review briefly summarizes standard-of-care therapies and focuses on emerging strategies targeting upstream mechanisms, including cytokine modulation, NLRP3 inflammasome inhibition, oxidative stress regulation, viral vector-based gene therapy, RNA interference, non-coding RNA approaches, and phenotype-guided precision medicine. We propose a stage-specific, mechanism-oriented framework for future PHN management.

Indexed as

Neuralgia, PostherpeticNeuroinflammatory DiseasesAnimalsHumansHerpes zoster (HZ)Immune-inflammatory mechanismsNeuropathic painPostherpetic neuralgia (PHN)Treatments

Identifiers

PMID42658336
PMCPMC13521990

What OpenQuestion holds

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Registered trials

None linked

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.