Evidence map›Paper›PMID 31433079›Full record

ArticleGenetic epidemiology2019

Leveraging cell-specific differentially methylated regions to identify leukocyte infiltration in adipose tissue.

Su H Chu, Karl T Kelsey, Devin C Koestler, Eric B Loucks, Yen-Tsung Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetic epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Su H ChuDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.ORCID 0000-0002-6345-008X
Karl T KelseyDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Devin C KoestlerDepartment of Biostatistics, University of Kansas Medical Center, Kansas City, Kanas.
Eric B LoucksDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Yen-Tsung HuangDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.

Funding

Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Kalyani Pyaram, Steven Allan Soper · 2019 to 2026
$21.5M
The New England Family Study: Fifty Year Post-Perinatal Follow-Up for Life CourseRC2AG036666 · NIA · BROWN UNIVERSITY · PI BUKA, STEPHEN L, EATON, CHARLES B · 2009 to 2010
$1.7M
Widely Distributed Software for Using Mass Spectrometry to Identify GlycansR01GM103428 · NIGMS · PALO ALTO RESEARCH CENTER · PI BERN, MARSHALL WAYNE · 2012 to 2013
$799k
Identifying Targets for Reducing Obesity Caused by Early Life DisadvantageR01AG048825 · NIA · BROWN UNIVERSITY · PI GILMAN, STEPHEN E, LOUCKS, ERIC · 2014 to 2015
$576k
Integrative Modeling of Gene Expression into GWAS of GliomaR03CA182937 · NCI · TUFTS UNIVERSITY BOSTON · PI HUANG, YEN-TSUNG, MICHAUD, DOMINIQUE S. · 2014 to 2015
$167k
NCI NIH HHS R03 CA182937NIA NIH HHS R01 AG048825NIA NIH HHS RC2 AG036666NIA NIH HHS RC2AG036666NIGMS NIH HHS P20GM103428NIGMS NIH HHS P20 GM130423NIGMS NIH HHS R01 GM103428
6 · The paper itself

Abstract

Obesity is understood to be an inflammatory condition characterized in part by changes in resident immune cell populations in adipose tissue. However, much of this knowledge has been obtained through experimental animal models. Epigenetic mechanisms, such as DNA methylation may be useful tools for characterizing the changes in immune cell populations in human subjects. In this study, we introduce a simple and intuitive method for assessing cellular infiltration by blood into other heterogeneous, admixed tissues such as adipose tissue, and apply this approach in a large human cohort study. Associations between higher leukocyte infiltration, measured by evaluating a distance measure between the methylation signatures of leukocytes and adipose tissue, and increasing body mass index (BMI) or android fat mass (AFM) were identified and validated in independent replication samples for CD4 (p

Indexed as

DNA MethylationAdipose TissueAdiposityAdultAnimalsB-LymphocytesBody Mass IndexCell MovementCohort StudiesEpigenesis, GeneticFemaleHumansLeukocytesMaleMiddle AgedMonocytesadipose tissuecellular admixtureDNA methylationepigeneticsleukocyte infiltrationmethylation signatures

Identifiers

PMID31433079
PMCPMC6829028

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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.