Evidence map›Paper›PMID 36082055›Full record

ArticleContrast media & molecular imaging2022

Brain Magnetic Resonance Imaging Features of Nicotine-Dependent Individuals and Its Correlation with Polymorphisms of Dopamine D Receptor Gene.

Hongfeng Liu, Lixin Guan, Ying Nie, Qi Li, Jiting Xue, Yong Yang, Shengzhong Rong, Jun Liang, Yanzhong Guan, Fengguo Zhai and 4 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Contrast media & molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07108673 (Value of Voxel-Based Morphometry in Assessing Brain Structural Abnormalities in Schizophrenia and Nicotine Use Disorder.), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 52% of its field
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.

NCT07108673 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Value of Voxel-Based Morphometry in Assessing Brain Structural Abnormalities in Schizophrenia and Nicotine Use Disorder.

TypeobservationalSponsorAssiut UniversityRan2025 to 2026Enrolled96ConditionsSchizophreniaArmsMRI
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Association of smoking with brain gray and white matter volume: a Mendelian randomization study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
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 at 2 institutions in 1 country.

Hongfeng LiuMudanjiang Medical University, Mudanjiang 157011, China.
Lixin GuanMudanjiang Medical University, Mudanjiang 157011, China.
Ying NieMudanjiang Medical University, Mudanjiang 157011, China.
Qi LiMudanjiang Medical University, Mudanjiang 157011, China.
Jiting XueMudanjiang Medical University, Mudanjiang 157011, China.
Yong YangMudanjiang Medical University, Mudanjiang 157011, China.
Shengzhong RongMudanjiang Medical University, Mudanjiang 157011, China.
Jun LiangMudanjiang Medical University, Mudanjiang 157011, China.
Yanzhong GuanMudanjiang Medical University, Mudanjiang 157011, China.
Fengguo ZhaiMudanjiang Medical University, Mudanjiang 157011, China.
Yanhai RenMudanjiang Medical University, Mudanjiang 157011, China.
Ziyi AnMudanjiang Medical University, Mudanjiang 157011, China.
Zesong DongMudanjiang Medical University, Mudanjiang 157011, China.
Zhixue HanMudanjiang Medical University, Mudanjiang 157011, China.ORCID 0000-0003-2414-8870
Mudanjiang Medical University · CNHeilongjiang University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this research was developed to provide a scientific basis for individualized prevention, clinical diagnosis, and corrective treatment of nicotine addiction. The objects were 214 cases in the smoke group and 43 cases in the control group. According to the Fagerstrom Nicotine Dependence Test (FTND), the smokers were divided into mild nicotine dependence group (FTND < 6 points, 138 cases) and nicotine severe dependence group (≥6 points, 76 cases). The brain structure in long-term smokers was evaluated by using magnetic resonance imaging (MRI). The nicotine dependence was further analyzed by grouping the included individuals, and some candidate genes related to nicotine addiction were screened by combining with bioinformatics analysis. The family research strategy was adopted to detect nicotine addiction susceptibility genes and their polymorphisms. The MRI imaging results showed that the bilateral thalamus, right parietal, and left lens gram-molecule volume (GMV) were negatively correlated with smoking index and smoking years in the smoking group. The GMV of the posterior cingulate cortex in the severe nicotine dependence group was lower than that of the control group, and the GMVs of bilateral thalamus and bilateral superior limbic gyrus in the mild nicotine dependence group were lower than those of the control group. The gene polymorphism detection showed that rs6275 was highly polymorphic in the target population and the frequency of rs6275-C allele was 53.26%. Therefore, the MRI imaging characteristics suggested that the affected brain regions of smokers and people with varying degrees of nicotine dependence were mainly concentrated in response-related pathways and the limbic system and had cumulative effects on the central nervous system. In addition, the M6275 polymorphism of DRD2 gene was associated with susceptibility to nicotine addiction in Chinese population, and the M6275-C allele had a protective effect on susceptibility to nicotine addiction and smoking initiation.

Indexed as

Receptors, DopamineTobacco Use DisorderBrainDopamineHumansMagnetic Resonance ImagingNicotinePolymorphism, GeneticDopamineNicotineReceptors, Dopamine

Identifiers

PMID36082055
PMCPMC9433208
OpenAlexW4293215222

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.