Evidence map›Paper›PMID 41440997›Full record

ReviewMetabolites2025

The Crosstalk Between Brain Energy Metabolism and Neuropathic Pain: Mechanisms and Therapeutic Implications.

Jiangtao Wang, Baitong Liu, Jinyan Liu, Zhuoxi Hou, Guangxin Xie, Xiaoyi Xiong, Shuguang Yu

Abstract readReview
In one paragraph

Review in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jiangtao WangAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Baitong LiuAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.ORCID 0009-0005-6235-1089
Jinyan LiuAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Zhuoxi HouAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Guangxin XieAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Xiaoyi XiongAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Shuguang YuAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.ORCID 0000-0002-1413-8989

Funding

the National Natural Science Foundation of China 82230127
6 · The paper itself

Abstract

Normal physiological brain activity relies on precise and orderly energy supply. The brain's complex energy metabolism (encompassing glucose, lipid, lactate, and amino acid metabolic pathways) underpins neuronal function. Neuropathic pain severely impacts patients' quality of life, and traditional therapies often prove ineffective. This condition is frequently accompanied by energy metabolism disorders in relevant brain regions. Dysregulation of metabolic pathways disrupts neuronal energy supply and signaling, impairs synaptic transmission, and triggers abnormal glial interactions and neuroinflammation, thereby driving the onset and chronic progression of neuropathic pain. This paper systematically elucidates the impact of metabolic pathway imbalances on neuropathic pain and explores potential therapeutic strategies targeting energy homeostasis. It aims to provide novel theoretical foundations and treatment approaches for the clinical management of neuropathic pain.

Indexed as

amino acid metabolismglucose metabolismlactate metabolismlipid metabolismneuropathic pain

Identifiers

PMID41440997
PMCPMC12735086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.