Evidence map›Paper›PMID 37920490›Full record

ArticleHeliyon2023

Human endogenous retroviruses of the HERV-K (HML-2) family are expressed in the brain of healthy individuals and modify the composition of the brain-infiltrating immune cells.

Tapio Nevalainen, Arttu Autio, Mikko Hurme

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

3 authors at 1 institution in 1 country.

Tapio NevalainenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Arttu AutioFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Mikko HurmeFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Tampere University · FI

Funding

LIMBIC &MEDULLARY MECH. IN COCAINE-RELATED SUDDEN DEATHR01DA006227 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MASH, DEBORAH C. · 1990 to 2012
$3.7M
Methods for high-resolution analysis of genetic effects on gene expressionR01MH101814 · NIMH · UNIVERSITY OF GENEVA · PI BUSTAMANTE, CARLOS DANIEL, DERMITZAKIS, EMMANOUIL · 2013 to 2016
$2.3M
Harnessing GTEx to Create Transcriptome Knowledge and Inform Disease BiologyR01MH101820 · NIMH · UNIVERSITY OF CHICAGO · PI COX, NANCY J, NICOLAE, DAN LIVIU · 2013 to 2015
$2.3M
Identification and validation of cell specific eQTLs by Bayesian modelingR01MH101822 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BROWN, CHRISTOPHER DAVID, ENGELHARDT, BARBARA · 2013 to 2016
$1.9M
Genetic Regulation of Gene Expression and its Impact on Phenotypes - SupplementR01MH101782 · NIMH · STANFORD UNIVERSITY · PI SABATTI, CHIARA · 2013 to 2016
$1.3M
MODELING THE EFFECTS OF STRUCTURAL VARIATION IN GTEX DATA AND MENDELIAN DISEASER01MH101810 · NIMH · WASHINGTON UNIVERSITY · PI CONRAD, DONALD F. · 2013 to 2016
$1.3M
Systems approaches to link tissue-specific expression to diseaseR01MH101819 · NIMH · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI NOBEL, ANDREW B, WRIGHT, FRED A. · 2013 to 2015
$1.3M
Statistical analysis of gene expression quantitative trait loci (eQTL)R01MH101825 · NIMH · UNIVERSITY OF CHICAGO · PI STEPHENS, MATTHEW · 2013 to 2015
$1.1M
Statistical analysis of gene expression quantitative trait loci (eQTL)R01MH090951 · NIMH · UNIVERSITY OF CHICAGO · PI PRITCHARD, JONATHAN K · 2010 to 2012
$873k
Methods for high-resolution analysis of genetic effects on gene expressionR01MH090941 · NIMH · UNIVERSITY OF GENEVA · PI DERMITZAKIS, EMMANOUIL, GUIGO, RODERIC · 2010 to 2012
$863k
FACILITATING GTEx, DISEASE, AND GxE ANALYSES VIA FAST EXPRESSION (e)QTL MAPPINGR01MH090936 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NOBEL, ANDREW B, RUSYN, IVAN · 2010 to 2012
$847k
Using the Transcriptome for SNP and Gene AnnotationR01MH090937 · NIMH · UNIVERSITY OF CHICAGO · PI COX, NANCY J, NICOLAE, DAN LIVIU · 2010 to 2012
$825k
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENHLBI NIH HHS HHSN268201000029CNIDA NIH HHS R01 DA006227NIMH NIH HHS R01 MH090936NIMH NIH HHS R01 MH090937NIMH NIH HHS R01 MH090941NIMH NIH HHS R01 MH090948NIMH NIH HHS R01 MH090951NIMH NIH HHS R01 MH101782NIMH NIH HHS R01 MH101810NIMH NIH HHS R01 MH101814NIMH NIH HHS R01 MH101819NIMH NIH HHS R01 MH101820NIMH NIH HHS R01 MH101822NIMH NIH HHS R01 MH101825
6 · The paper itself

Abstract

Human endogenous retroviruses (HERVs) are remnants of ancient retroviral infections in the human genome. RNA expression of individual HERVs has frequently been observed in various pathologic conditions, but some activity can also be seen in healthy individuals, e.g. in the blood. To quantitate the basal expression levels of HERVs in the brain, we now used high-throughput sequencing-based metagenomic analysis to characterize the expression profiles of the HERV-K (HML-2) family proviruses in different brain regions of healthy brain tissue. To this end, RNA-seq data from the Genotype-Tissue Expression (GTEx) project was used. The GTEx project is a public resource to study tissue-specific gene expression and regulation, consisting of a large selection of sequenced samples from different tissues. The GTEx data used in this study consisted of 378 samples taken from 13 brain regions from 55 individuals. The data demonstrated that out of 99 intact proviruses in the family 58 were expressed, but the expression profiles were highly divergent and there were no significant differences in the expression profiles between the various anatomic regions of the brain. It is known that the brain contains a variety of infiltrating immune cells, which are probably of great importance both in the normal defense mechanisms as well as in the various pathogenic processes. Digital cytometry (CIBERSORTx) was used to quantify the proportions of the infiltrating immune cells in the same brain samples. Six most abundant (>5 % of the total population) cell types were observed to be CD4 memory resting T cells, M0 macrophages, plasma cells, CD8 T cells, CD4 memory activated T cells, and monocytes. Analysis of the correlations between the individual HERVs and infiltrating cell types indicated that a cluster of 6 HERVs had a notable correlation signature between T cell type infiltrating cell proportions and HERV RNA expression intensity. The correlations between inflammatory type infiltrating cells were negative or weak. Taken together, these data indicate that the expression of HERVs is associated with a T cell type immunity.

Indexed as

BrainCIBERSORTxGTExHERV-KT cells

Identifiers

PMID37920490
PMCPMC10618496
OpenAlexW4387855134

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.