Evidence map›Paper›PMID 36440417›Full record

ArticleFrontiers in psychiatry2022

Per1 gene polymorphisms influence the relationship between brain white matter microstructure and depression risk.

Rui Zhao, Jin-Bo Sun, Hui Deng, Chen Cheng, Xue Li, Fu-Min Wang, Zhao-Yang He, Meng-Ying Chang, Li-Ming Lu, Chun-Zhi Tang and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. 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

13 authors at 3 institutions in 1 country.

Rui ZhaoSchool of Electronics and Information, Xi'an Polytechnic University, Xi'an, China.
Jin-Bo SunIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Hui DengIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Chen ChengIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Xue LiIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Fu-Min WangSchool of Electronics and Information, Xi'an Polytechnic University, Xi'an, China.
Zhao-Yang HeSchool of Electronics and Information, Xi'an Polytechnic University, Xi'an, China.
Meng-Ying ChangSchool of Electronics and Information, Xi'an Polytechnic University, Xi'an, China.
Li-Ming LuSouth China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Chun-Zhi TangSouth China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Neng-Gui XuSouth China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xue-Juan YangIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Wei QinIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Xidian University · CNXi'an Polytechnic University · CNGuangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Circadian rhythm was involved in the pathogenesis of depression. The detection of circadian genes and white matter (WM) integrity achieved increasing focus for early prediction and diagnosis of major depressive disorder (MDD). This study aimed to explore the effects of PER1 gene polymorphisms (rs7221412), one of the key circadian genes, on the association between depressive level and WM microstructural integrity. Materials and methods: Diffusion tensor imaging scanning and depression assessment (Beck Depression Inventory, BDI) were performed in 77 healthy college students. Participants also underwent PER1 polymorphism detection and were divided into the AG group and AA group. The effects of PER1 genotypes on the association between the WM characteristics and BDI were analyzed using tract-based spatial statistics method. Results: Compared with homozygous form of PER1 gene (AA), more individuals with risk allele G of PER1 gene (AG) were in depression state with BDI cutoff of 14 ( Conclusion: Our findings suggested that the PER1 genotypes and emotion-related WM microstructure may provide more effective measures of depression risk at an early phase.

Indexed as

Beck Depression Inventorydepressive riskdiffusion tensor imagingPER1 gene polymorphismstract-based spatial statistics

Identifiers

PMID36440417
PMCPMC9691780
OpenAlexW4308802861

What OpenQuestion holds

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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.