Evidence map›Paper›PMID 40688684›Full record

ArticleMaterials today. Bio2025

Dorsal root ganglion-targeted analgesic delivery for effective relief of neuropathic pain.

Jiajia Sun, Jia Gu, Yan Ding, Xinyi Tu, Xiaohui Cai, Baochun Jiang, Zhongping Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Engineering Nanoscale Drug Delivery Systems for Pain.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    Review
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

7 authors.

Jiajia SunInstitute of Special Environmental Medicine, Nantong University, Nantong, People's Republic of China.
Jia GuInstitute of Special Environmental Medicine, Nantong University, Nantong, People's Republic of China.
Yan DingInstitute of Special Environmental Medicine, Nantong University, Nantong, People's Republic of China.
Xinyi TuInstitute of Special Environmental Medicine, Nantong University, Nantong, People's Republic of China.
Xiaohui CaiDepartment of Hematology, The Third Affiliated Hospital of Nanjing Medical University, Changzhou, People's Republic of China.
Baochun JiangDepartment of Anesthesiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Zhongping ChenInstitute of Special Environmental Medicine, Nantong University, Nantong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuropathic pain is a devastating experience for patients and its treatment remains challenging. Dorsal root ganglion (DRG) is currently an important therapeutic target and DRG-targeted analgesic delivery through systemic injection is however not reported. Herein, a disintegrin and metalloproteinase protein 8 (ADAM8), a membrane-anchored protein primarily recognized as a cancer biomarker, is found to be de novo and persistently upregulated in the DRG neurons in spared nerve injury (SNI) and chemotherapy-induced neuropathic pain (CINP), two neuropathic pain models with distinct mechanisms. We thus designed a DRG-targeted delivery strategy using lipid nanoparticles (LNPs), aiming to effectively deliver conventional analgesics to the DRG to improve analgesic effect through blocking pain signal transduction from the periphery to central nervous system.

Indexed as

ADAM8Dorsal root ganglionLipid nanoparticlesNeuropathic painTargeted drug delivery

Identifiers

PMID40688684
PMCPMC12272124

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.