Evidence map›Paper›PMID 28844666›Full record

ArticleGene2017

Genetic regulation of adipose tissue transcript expression is involved in modulating serum triglyceride and HDL-cholesterol.

Satria P Sajuthi, Neeraj K Sharma, Mary E Comeau, Jeff W Chou, Donald W Bowden, Barry I Freedman, Carl D Langefeld, John S Parks, Swapan K Das

Abstract read
In one paragraph

Article in Gene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 14 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

9 authors at 1 institution in 1 country.

Satria P SajuthiDepartment of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States.
Neeraj K SharmaDepartment of Internal Medicine, Section on Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States.
Mary E ComeauDepartment of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States.
Jeff W ChouDepartment of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States.
Donald W BowdenDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States.
Barry I FreedmanDepartment of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States.
Carl D LangefeldDepartment of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States.
John S ParksDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States.
Swapan K DasDepartment of Internal Medicine, Section on Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States. Electronic address: sdas@wakehealth.edu.
Wake Forest University · US

Funding

The Role of Hepatocyte ABCA1 in Lipid Mobilization and TransportR01HL119962 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI PARKS, JOHN S · 2013 to 2022
$3.9M
Mapping Diabetes Susceptibility by Expression Traits in African AmericansR01DK090111 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAS, SWAPAN KUMAR · 2011 to 2015
$2.5M
NHLBI NIH HHS R01 HL119962NIDDK NIH HHS R01 DK090111
6 · The paper itself

Abstract

Dyslipidemia is a major contributor to the increased cardiovascular disease and mortality associated with obesity and type 2 diabetes. We hypothesized that variation in expression of adipose tissue transcripts is associated with serum lipid concentrations in African Americans (AAs), and common genetic variants regulate expression levels of these transcripts. Fasting serum lipid levels, genome-wide transcript expression profiles of subcutaneous adipose tissue, and genome-wide SNP genotypes were analyzed in a cohort of non-diabetic AAs (N=250). Serum triglyceride (TRIG) and high density lipoprotein-cholesterol (HDL-C) levels were associated (FDR<0.01) with expression level of 1021 and 1875 adipose tissue transcripts, respectively, but none associated with total cholesterol or LDL-C levels. Serum HDL-C-associated transcripts were enriched for salient biological pathways, including branched-chain amino acid degradation, and oxidative phosphorylation. Genes in immuno-inflammatory pathways were activated among individuals with higher serum TRIG levels. We identified significant cis-regulatory SNPs (cis-eSNPs) for 449 serum lipid-associated transcripts in adipose tissue. The cis-eSNPs of 12 genes were nominally associated (p<0.001) with serum lipid level in genome wide association studies in Global Lipids Genetics Consortium (GLGC) cohorts. Allelic effect direction of cis-eSNPs on expression of MARCH2, BEST1 and TMEM258 matched with effect direction of these SNP alleles on serum TRIG or HDL-C levels in GLGC cohorts. These data suggest that expressions of serum lipid-associated transcripts in adipose tissue are dependent on common cis-eSNPs in African Americans. Thus, genetically-mediated transcriptional regulation in adipose tissue may play a role in reducing HDL-C and increasing TRIG in serum.

Indexed as

TranscriptomeAdipose TissueAdolescentAdultBlack or African AmericanCholesterol, HDLFemaleHumansMaleMiddle AgedPolymorphism, Single NucleotideTriglyceridesCholesterol, HDLTriglyceridesAfrican AmericansExpression quantitative trait loci (eQTL)Gene expression profilingGenotypeHDL-cholesterolTriglyceride

Identifiers

PMID28844666
PMCPMC5600164
OpenAlexW2747210075

What OpenQuestion holds

Textmetadata
LicenceTDM
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.