Evidence map›Paper›PMID 41224763›Full record

ArticleNature communications2025

Genetic underpinnings and causal effects of brain structure and function on chronic pain intensity.

Xiuzhi Wang, Jinyu Liu, Xichen Wang, Jin Yang, Yipeng Le, Yingchao Song, Qian Su, Xiaoxiao Xiao, Yifan Li, Wen Qin and 3 more

Abstract read
In one paragraph

Article in Nature communications, 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. Article
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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

13 authors.

Xiuzhi WangDivision of Medical Technology and Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0003-4107-3073
Jinyu LiuDivision of Medical Technology and Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.
Xichen WangDivision of Medical Technology and Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.
Jin YangDivision of Medical Technology and Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.
Yipeng LeDivision of Medical Technology and Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.
Yingchao SongCollege of Medical Information and Artificial Intelligence, Shandong First Medical University, Jinan, China.
Qian SuDepartment of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China.
Xiaoxiao XiaoDivision of Medical Technology and Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.
Yifan LiDivision of Medical Technology and Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.
Wen QinDepartment of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, China.ORCID http://orcid.org/0000-0002-9121-8296
Chunshui YuDivision of Medical Technology and Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0001-5648-5199
Ping WangDivision of Medical Technology and Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.
Meng LiangDivision of Medical Technology and Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China. liangmeng@tmu.edu.cn.ORCID http://orcid.org/0000-0003-0916-520X

Funding

China Postdoctoral Science Foundation 2024M761870National Natural Science Foundation of China (National Science Foundation of China) 81425013National Natural Science Foundation of China (National Science Foundation of China) 81971694National Natural Science Foundation of China (National Science Foundation of China) 82030053National Natural Science Foundation of China (National Science Foundation of China) 82102133National Natural Science Foundation of China (National Science Foundation of China) 82430063National Natural Science Foundation of China (National Science Foundation of China) 82472052
6 · The paper itself

Abstract

Chronic pain represents a major clinical burden, with its intensity being a key measure of its severity. However, the genetic and neural underpinnings of chronic pain intensity remain unraveled. Here, we identified six genetic loci (including a novel discovery) significantly associated with chronic pain intensity using a genome-wide association study in the UK Biobank (n = 134,627). We then systematically investigate its relationship with 3924 brain imaging-derived phenotypes. Phenotypic correlation analyses revealed 29 imaging-derived phenotypes predictive of future chronic pain intensity. Genetic correlation and polygenic risk score analyses showed 13 of these imaging-derived phenotypes share a genetic basis with chronic pain intensity. Mediation analyses indicated that 12 imaging-derived phenotypes mediate genetic effects on chronic pain intensity. Mendelian randomization further supported a causal influence of three imaging-derived phenotypes, including brain structure and functional network connectivity, on chronic pain intensity. Our findings elucidate the genetic architecture and neurobiological pathways of chronic pain intensity, highlighting the brain's central role in chronic pain pathophysiology.

Indexed as

BrainChronic PainAdultAgedFemaleGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMendelian Randomization AnalysisMiddle AgedMultifactorial InheritancePhenotypePolymorphism, Single Nucleotide

Identifiers

PMID41224763
PMCPMC12612055

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.