Evidence map›Paper›PMID 23303871›Full record

ArticleThe Journal of nutrition2013

Genetic variants at PSMD3 interact with dietary fat and carbohydrate to modulate insulin resistance.

Ju-Sheng Zheng, Donna K Arnett, Laurence D Parnell, Yu-Chi Lee, Yiyi Ma, Caren E Smith, Kris Richardson, Duo Li, Ingrid B Borecki, Jose M Ordovas and 2 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in The Journal of nutrition, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01231958 (The Boston Puerto Rican Health Study), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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.

NCT01231958 completednot on this map

The Boston Puerto Rican Health Study: Center for Population Health and Health Disparities

TypeobservationalSponsorUniversity of Massachusetts, LowellRan2004 to 2017Enrolled1,650ConditionsCardiovascular Risk FactorArmsThe Heart Healthy Initiative for Hispanic Adults (HIP)
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 5 institutions in 2 countries.

Ju-Sheng ZhengDepartment of Food Science and Nutrition, Zhejiang University, Hangzhou, China.
Donna K Arnett
Laurence D Parnell
Yu-Chi Lee
Yiyi Ma
Caren E Smith
Kris Richardson
Duo Li
Ingrid B Borecki
Jose M Ordovas
Katherine L Tucker
Chao-Qiang Lai
Tufts University · USNortheastern University · USUniversity of Alabama at Birmingham · USWashington University in St. Louis · USZhejiang University · CN

Funding

Genetic and Environmental Determinants of TriglyceridesU01HL072524 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 2002 to 2008
$11.9M
STATISTICSP50HL105185 · NHLBI · UNIVERSITY OF MASSACHUSETTS LOWELL · PI BRUGGE, DOUG · 2010 to 2015
$10.4M
Genomewide Association Study of Lipid Response to Fenofibrate and Dietary FatR01HL091357 · NHLBI · UNIVERSITY OF KENTUCKY · PI ARNETT, DONNA K · 2008 to 2018
$5.8M
GENE/DIET EFFECTS ON PLASMA LIPOPROTEIN LEVELSR01HL054776 · NHLBI · TUFTS UNIVERSITY BOSTON · PI ORDOVAS, JOSE M. · 1996 to 2010
$2.6M
Case-control Association Studies and Genetic ConfoundingR01HL078885 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BURCHARD, ESTEBAN GONZALEZ · 2005 to 2009
$1.9M
Genetic predictors of metabolic responses to dairyK08HL112845 · NHLBI · TUFTS UNIVERSITY BOSTON · PI SMITH, CAREN ELIZABETH · 2013 to 2017
$474k
NHLBI NIH HHS HL078885NHLBI NIH HHS HL54776NHLBI NIH HHS K08 HL112845NHLBI NIH HHS P50 HL105185NHLBI NIH HHS R01 HL091357NHLBI NIH HHS U01 HL072524NIMHD NIH HHS L60 MD003562
6 · The paper itself

Abstract

PSMD3 encodes subunit 3 of the 26S proteasome, which is involved in regulating insulin signal transduction, and dietary factors could potentially regulate the function of this gene. We aimed to investigate the associations of PSMD3 variants with glucose-related traits and the interactions of those variants with dietary fat and carbohydrate for glucose-related traits in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study and to replicate the findings in the Boston Puerto Rican Health Study (BPRHS). Ten single nucleotide polymorphisms (SNPs) were selected, covering 90% the genetic variations in or near PSMD3. Minor allele (C) carriers of rs4065321 had higher homeostasis model assessment of insulin resistance (HOMA-IR) than noncarriers in males of both the GOLDN (P = 0.022) and BPRHS (P = 0.036). Minor allele (T) carriers of rs709592 had significantly higher HOMA-IR (P = 0.032) than C homozygotes in the GOLDN, whereas the T allele carriers of rs709592 tended to have higher HOMA-IR (P = 0.08) than C homozygotes in the BPRHS. In the GOLDN, there was an interaction between rs709592 and dietary carbohydrate on HOMA-IR (P = 0.049). Subjects carrying the T allele of rs709592 had higher HOMA-IR compared only with noncarriers with low carbohydrate intake (≤49.1% energy; P = 0.004). SNPs rs4065321 and rs709592 both significantly interacted with dietary MUFAs and carbohydrate on glucose concentrations in the GOLDN. Our study suggests that PSMD3 variants are associated with insulin resistance in populations of different ancestries and that these relationships may also be modified by dietary factors.

Indexed as

Polymorphism, Single NucleotideAdultAgedAllelesBlood GlucoseBostonDietary CarbohydratesDietary FatsFatty Acids, MonounsaturatedFemaleHispanic or LatinoHomozygoteHumansInsulinInsulin ResistanceMaleBlood GlucoseDietary CarbohydratesDietary FatsFatty Acids, MonounsaturatedInsulinproteasome activator PA700 subunit p58, humanProteasome Endopeptidase Complex

Identifiers

PMID23303871
PMCPMC3713024
OpenAlexW2153621139

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.