Evidence map›Paper›PMID 32066712›Full record

ArticleTranslational psychiatry2020

Neuregulin 3 rs10748842 polymorphism contributes to the effect of body mass index on cognitive impairment in patients with schizophrenia.

Yongjie Zhou, Yuhuan Li, Yujie Meng, Jiesi Wang, Fengchun Wu, Yuping Ning, Yi Li, Ryan M Cassidy, Zezhi Li, Xiang Yang Zhang

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 10% 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.

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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Sexual dimorphism in the relationship betweenFrontiers in aging neuroscience · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Neuregulins in Neurodegenerative Diseases.Frontiers in aging neuroscience · 2021
    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

10 authors at 7 institutions in 2 countries.

Yongjie ZhouResearch Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China.
Yuhuan LiQingdao Mental Health Center, Qingdao, China.
Yujie MengQingdao Mental Health Center, Qingdao, China.
Jiesi WangCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Fengchun WuThe Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.
Yuping NingThe Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.
Yi LiResearch Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China.
Ryan M CassidyDepartment of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Zezhi LiDepartment of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. lizezhi1981@aliyun.com.
Xiang Yang ZhangCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. zhangxy@psych.ac.cn.
China University of Geosciences · CNGuangzhou Medical University · CNInstitute of Psychology, Chinese Academy of Sciences · CNHuazhong University of Science and Technology · CNQingdao Mental Health Center · CNRenji Hospital · CNThe University of Texas Health Science Center at Houston · US

Funding

Health and Family Planning Commission of Wuhan Municipality WX15C06National Natural Science Foundation of China (National Science Foundation of China) 81401127
6 · The paper itself

Abstract

There is evidence that obesity or higher body mass index is correlated with cognitive impairment in schizophrenia. Recent studies have demonstrated that genetic risk factors, such as the NRG3, are correlated with both elevated BMI and reduced cognitive function. In present study, we aimed to determine whether possession of the NRG3 rs10748842 influences the correlation between elevated BMI and reduced cognitive ability in schizophrenia. To our knowledge, this has never been examined before. A total of 625 inpatients with schizophrenia and 400 controls were recruited. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was performed to assess cognitive function. We used multiple analysis of covariance (MANCOVA), analyses of covariance (ANCOVA), Pearson correlations, partial correlations, and multivariate regression analysis to test the influence of NRG3 rs10748842 on the aforementioned variables. All RBANS five sub-scores and total score were lower in patients than those in controls (all p < 0.001). Patients carrying NRG3 rs10748842 TC + CC heterozygous genotype had lower attention score compared to TT homozygous genotype (adjusted F = 4.77, p = 0.029). BMI was positively associated with language score in patients (β = 0.387, t = 2.59, p = 0.01). Interestingly, we further found positive association between BMI and language score in TT carriers (partial correlations: r = 0.13, adjusted p = 0.004; multivariate regression: β = 0.42, t = 2.66, p = 0.008), but not in CT + CC carrier (p > 0.05). Our study demonstrated that NRG3 rs10748842 was associated with cognitive impairments, especially attention performance in schizophrenia. Moreover, NRG3 rs10748842 altered the effect of BMI on cognitive impairments as measured by the RBANS language score in chronic patients with schizophrenia.

Indexed as

Cognitive DysfunctionSchizophreniaBody Mass IndexHumansNeuregulinsNeuropsychological TestsPolymorphism, GeneticNeuregulinsNRG3 protein, human

Identifiers

PMID32066712
PMCPMC7026092
OpenAlexW3006557931

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LicenceCC BY
Read underepoch 390

Registered trials

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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.