Evidence map›Paper›PMID 25490993›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2015

Evidence for the contribution of NOS1 gene polymorphism (rs3782206) to prefrontal function in schizophrenia patients and healthy controls.

Zhifang Zhang, Xiongying Chen, Ping Yu, Qiumei Zhang, Xiaochen Sun, Huang Gu, Hao Zhang, Jinguo Zhai, Min Chen, Boqi Du and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Shaping the Trans-Scale Properties of SchizophreniaFrontiers in human neuroscience · 2021
    Review
  9. Genetic Factors of Nitric Oxide's System in Psychoneurologic Disorders.International journal of molecular sciences · 2020
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Polymorphism in schizophrenia risk geneNeuroImage. Clinical · 2018
    Article
  15. Imaging genetics in neurodevelopmental psychopathology.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
    Review
  16. Article
  17. 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

19 authors at 8 institutions in 2 countries.

Zhifang Zhang1] State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China [2] Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.
Xiongying Chen1] State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China [2] Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.
Ping Yu1] State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China [2] Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.
Qiumei ZhangSchool of Mental Health, Jining Medical University, Jining, Shandong Province, P.R. China.
Xiaochen Sun1] State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China [2] Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.
Huang Gu1] State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China [2] Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.
Hao Zhang1] College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, P. R. China [2] Key Laboratory of Opto-electronics Information Technology, Ministry of Education, Tianjin, China.
Jinguo ZhaiSchool of Mental Health, Jining Medical University, Jining, Shandong Province, P.R. China.
Min ChenSchool of Mental Health, Jining Medical University, Jining, Shandong Province, P.R. China.
Boqi Du1] State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China [2] Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.
Xiaoxiang Deng1] State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China [2] Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.
Feng JiSchool of Mental Health, Jining Medical University, Jining, Shandong Province, P.R. China.
Chuanyue WangBeijing Anding Hospital, Beijing, China.
Yutao Xiang1] Beijing Anding Hospital, Beijing, China [2] Faculty of Health Sciences, Macau University of Science and Technology, Taipa, Macau, China.
Dawei LiCenter for Cognitive Neuroscience, Duke University, Durham, NC, USA.
Hongjie WuShengli Hospital of Shengli Petroleum Administration Bureau, Dongying, Shandong province, P.R. China.
Jun Li1] State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China [2] Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.
Qi Dong1] State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China [2] Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.
Chuansheng ChenDepartment of Psychology and Social Behavior, University of California, Irvine, CA, USA.
Beijing Normal University · CNJining Medical University · CNBeijing Anding Hospital · CNChinese Institute for Brain Research · CNDuke University · USShengli Oilfield Central Hospital · CNTianjin University · CNUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitric oxide (NO), a gaseous neurotransmitter, has been implicated in the pathogenesis of schizophrenia. Accordingly, several polymorphisms of the gene that codes for the main NO-producing enzyme, the nitric oxide synthase 1 (NOS1), have been found to convey a risk for schizophrenia. This study examined the role of NOS1 gene polymorphisms in cognitive functions and related neural mechanism. First, with a sample of 580 schizophrenia patients and 720 healthy controls, we found that rs3782206 genotype had main effects on the 1-back task (P=0.005), the 2-back task (P=0.049), the AY condition of the dot-pattern expectancy (DPX) task (P=0.001), and the conflict effect of the attention network (ANT) test (P<0.001 for RT differences and P=0.002 for RT ratio) and interaction effects with diagnosis on the BX condition of the DPX (P=0.009), the AY condition of the DPX (P<0.001), and the Stroop conflict effect (P=0.003 for RT differences and P=0.038 for RT ratio). Simple effect analyses further showed that the schizophrenia risk allele (T) of rs3782206 was associated with poorer performance in five measures for the patients (1-back, P=0.025; BX, P=0.017; AY, P<0.001; ANT conflict effect (RT differences), P=0.005; Stroop conflict effect (RT differences), P=0.019) and three measures for the controls ( for the 2-back task, P=0.042; for the ANT conlict effect (RT differences), P=0.013; for the ANT conflict effect (RT ratios), P=0.028). Then, with a separate sample of 78 healthy controls, we examined the association between rs3782206 and brain activation patterns during the N-back task and the Stroop task. Whole brain analyses found that the risk allele carriers showed reduced activation at the right inferior frontal gyrus (IFG) during both tasks. Finally, we examined functional connectivity seeded from the right IFG to the dorsolateral prefrontal cortex (DLPFC) and anterior cingulate cortex under three conditions (the N-back task, the Stroop task, and the resting state). Results showed reduced connectivity with the DLPFC for the risk allele carriers mainly in the Stroop task and the resting state. Taken together, results of this study strongly suggested a link between NOS1 gene polymorphism at rs3782206 and cognitive functions and their neural underpinnings at the IFG. These results have important implications for our understanding of the neural mechanism underlying the association between NOS1 gene polymorphism and schizophrenia.

Indexed as

Polymorphism, Single NucleotideAdultBrain MappingFemaleFunctional LateralityGenetic Predisposition to DiseaseGenotypeGenotyping TechniquesHumansMagnetic Resonance ImagingMaleNeural PathwaysNeuropsychological TestsNitric Oxide Synthase Type IPrefrontal CortexReaction TimeNitric Oxide Synthase Type INOS1 protein, human

Identifiers

PMID25490993
PMCPMC4397396
OpenAlexW2027827021

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.