Evidence map›Paper›PMID 40762123›Full record

ArticleCNS neuroscience & therapeutics2025

Study on the Central Neural Pathways Connecting the Brain and Peripheral Acupoints Using Neural Tracers.

Junquan Liang, Weikang Sun, Yifu Zhou, Pan Zhang, Yuang Chen, Xuejie Li, Haoxuan He, Xiangkai Liu, Shibiao Zhou, Jingran Shen and 4 more

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 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. Review
  2. Review
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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

14 authors.

Junquan LiangShenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.ORCID 0000-0002-3185-0927
Weikang SunSchool of Life Sciences, Northwestern Polytechnical University, Xi'an, China.
Yifu ZhouShenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Pan ZhangShenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Yuang ChenFaculty of Healthy Science (FHS), Institute of Collaborative Innovation (ICI), University of Macau, Macau, China.
Xuejie LiShenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Haoxuan HeShenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Xiangkai LiuShenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Shibiao ZhouShenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Jingran ShenShenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Hongli JiangShenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Yanzhang ChenBeijing University of Chemical Technology, Beijing, China.
Rundong TangShenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Luda YanShenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.

Funding

2024 High-Quality Development Research Project of Public Hospitals in Bao'an District BAGZL2024108Bao'an Traditional Chinese Medicine Development Foundation of Shenzhen City 2022KJCX-ZJZL-9National Natural Science Foundation of China 82305372Shenzhen Natural Science Foundation General Program for Basic Research JCYJ20230807115516032
6 · The paper itself

Abstract

backgroundAcupuncture is widely used for therapeutic purposes, but the neural mechanisms underlying its effects are not fully understood. This study aims to investigate the neural projections from acupoints and subcutaneous (sham acupoints) sites to the central nervous system, using retrograde tracing technology, to clarify the specificity of acupuncture's neural pathways.

methodsAdult C57BL/6J mice were injected with the retrograde tracer PRV-CAG-3 × mScarlet at seven acupoints (LI4, GV20, LI11, BL23, LR3, ST25, ST36) and their corresponding subcutaneous sites (sham acupoints). After 120 h, the brains were processed to assess viral expression and neural projections using histological analysis and imaging techniques.

resultsThe results revealed differences in neural projections between the acupoint groups and their corresponding subcutaneous sites. Acupoints exhibited common neural projections to regions such as the primary motor cortex (M1), secondary motor cortex (M2), gigantocellular reticular nucleus (Gi), and ventrolateral periaqueductal gray (VLPAG), while subcutaneous sites showed more diffuse and less specific projections.

conclusionsCompared to subcutaneous injection sites (sham acupoints), acupoints exhibit common neural projections in the brain. In contrast to the more diffuse neural projection patterns observed in subcutaneous sites (sham acupoints), acupoints display more numerous and specific neural projections in the brain.

Indexed as

Acupuncture PointsBrainNeural PathwaysAnimalsMaleMiceMice, Inbred C57BLacupointsneural projectionsPRV‐CAG‐3 × mScarletretrograde tracing

Identifiers

PMID40762123
PMCPMC12322693

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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.