Evidence map›Paper›PMID 36843037›Full record

ArticleTranslational psychiatry2023

Cross-tissue correlations of genome-wide DNA methylation in Japanese live human brain and blood, saliva, and buccal epithelial tissues.

Shota Nishitani, Makoto Isozaki, Akiko Yao, Yoshifumi Higashino, Takahiro Yamauchi, Masamune Kidoguchi, Satoshi Kawajiri, Kenzo Tsunetoshi, Hiroyuki Neish, Hirochika Imoto and 7 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 4 pooled it
14.3field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 4 syntheses or guidelines pooled it, 73 citations in OpenAlex.

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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

17 authors at 4 institutions in 2 countries.

Shota NishitaniResearch Center for Child Mental Development, University of Fukui, Fukui, Japan. nshota@u-fukui.ac.jp.ORCID 0000-0002-6234-295X
Makoto IsozakiDepartment of Neurosurgery, University of Fukui, Fukui, Japan.
Akiko YaoResearch Center for Child Mental Development, University of Fukui, Fukui, Japan.
Yoshifumi HigashinoDepartment of Neurosurgery, University of Fukui, Fukui, Japan.
Takahiro YamauchiDepartment of Neurosurgery, University of Fukui, Fukui, Japan.
Masamune KidoguchiDepartment of Neurosurgery, University of Fukui, Fukui, Japan.
Satoshi KawajiriDepartment of Neurosurgery, University of Fukui, Fukui, Japan.
Kenzo TsunetoshiDepartment of Neurosurgery, University of Fukui, Fukui, Japan.
Hiroyuki NeishDepartment of Neurosurgery, University of Fukui, Fukui, Japan.
Hirochika ImotoDepartment of Neurosurgery, Yamaguchi University School of Medicine, Ube, Japan.
Hidetaka ArishimaDepartment of Neurosurgery, University of Fukui, Fukui, Japan.
Toshiaki KoderaDepartment of Neurosurgery, University of Fukui, Fukui, Japan.
Takashi X FujisawaResearch Center for Child Mental Development, University of Fukui, Fukui, Japan.
Sadahiro NomuraDepartment of Neurosurgery, Yamaguchi University School of Medicine, Ube, Japan.
Kenichiro KikutaDepartment of Neurosurgery, University of Fukui, Fukui, Japan.
Gen ShinozakiStanford University School of Medicine, Department of Psychiatry and Behavioral Sciences, Palo Alto, CA, USA.
Akemi TomodaResearch Center for Child Mental Development, University of Fukui, Fukui, Japan. atomoda@u-fukui.ac.jp.ORCID 0000-0002-6558-5017
University of Fukui · JPKanazawa University · JPYamaguchi University · JPStanford University · US

Funding

Identification of Epigenetics Correlates between Brain and Peripheral TissuesR01MH119165 · NIMH · UNIVERSITY OF IOWA · PI SHINOZAKI, GEN · 2020 to 2024
$3.0M
NIMH NIH HHS R01 MH119165
6 · The paper itself

Abstract

Neuroepigenetics considers genetic sequences and the interplay with environmental influences to elucidate vulnerability risk for various neurological and psychiatric disorders. However, evaluating DNA methylation of brain tissue is challenging owing to the issue of tissue specificity. Consequently, peripheral surrogate tissues were used, resulting in limited progress compared with other epigenetic studies, such as cancer research. Therefore, we developed databases to establish correlations between the brain and peripheral tissues in the same individuals. Four tissues, resected brain tissue, blood, saliva, and buccal mucosa (buccal), were collected from 19 patients (aged 13-73 years) who underwent neurosurgery. Moreover, their genome-wide DNA methylation was assessed using the Infinium HumanMethylationEPIC BeadChip arrays to determine the cross-tissue correlation of each combination. These correlation analyses were conducted with all methylation sites and with variable CpGs, and with when these were adjusted for cellular proportions. For the averaged data for each CpG across individuals, the saliva-brain correlation (r = 0.90) was higher than that for blood-brain (r = 0.87) and buccal-brain (r = 0.88) comparisons. Among individual CpGs, blood had the highest proportion of CpGs correlated to the brain at nominally significant levels (19.0%), followed by saliva (14.4%) and buccal (9.8%). These results were similar to the previous IMAGE-CpG results; however, cross-database correlations of the correlation coefficients revealed a relatively low (brain vs. blood: r = 0.27, saliva: r = 0.18, and buccal: r = 0.24). To the best of our knowledge, this is the fifth study in the literature initiating the development of databases for correlations between the brain and peripheral tissues in the same individuals. We present the first database developed from an Asian population, specifically Japanese samples (AMAZE-CpG), which would contribute to interpreting individual epigenetic study results from various Asian populations.

Indexed as

DNA MethylationAdolescentAdultAgedBloodBrainCheekCpG IslandsDNAEast Asian PeopleEpigenesis, GeneticEpitheliumHumansMiddle AgedSalivaYoung AdultDNA

Identifiers

PMID36843037
PMCPMC9968710
OpenAlexW4322207838

What OpenQuestion holds

Textmetadata
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.