Evidence map›Paper›PMID 21915367›Full record

ArticleInternational journal of molecular epidemiology and genetics2011

Maternal plasma protein profiles in response to oral 50-gram glucose load in mid-pregnancy: a pilot study.

Daniel A Enquobahrie, Chun-Fang Qiu, Karin Hevner, Dejene Abetew, Michelle A Williams

Abstract read
In one paragraph

Article in International journal of molecular epidemiology and genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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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

5 authors.

Daniel A Enquobahrie
Chun-Fang Qiu
Karin Hevner
Dejene Abetew
Michelle A Williams

Funding

The Epidemiology of Marine Fatty Acids and PreeclampsiaR01HD032562 · NICHD · SWEDISH MEDICAL CENTER, FIRST HILL · PI WILLIAMS, MICHELLE A. · 1996 to 2006
$3.0M
A Prospective Cohort Study of Migraines, Platelet Activation, and PreeclampsiaR01HD055566 · NICHD · SWEDISH MEDICAL CENTER, FIRST HILL · PI WILLIAMS, MICHELLE A. · 2008 to 2012
$2.9M
Vitamin D related genes and developmental origins of cardiometabolic riskK01HL103174 · NHLBI · UNIVERSITY OF WASHINGTON · PI ENQUOBAHRIE, DANIEL ASMAMAW · 2010 to 2014
$661k
NHLBI NIH HHS K01 HL103174NICHD NIH HHS R01 HD032562NICHD NIH HHS R01 HD055566
6 · The paper itself

Abstract

Accumulating evidence documents the initiation of diverse physiologic and biochemical response subsequent to an oral glucose load. However, significant gaps in knowledge exist in the understanding of consequences of glucose load during pregnancy, a state of insulin resistance. Using high dimensional protein arrays, we conducted a pilot proof-of-concept and feasibility study to investigate profiles of 120 plasma proteins in pre- and post- 50-gram oral glucose challenge samples. Participants (N = 10) were selected from among women enrolled in a pregnancy cohort. Differences in plasma protein concentrations between pre- and post-glucose load challenge samples were evaluated using Student's T-test (paired) and mean fold change comparisons. Multiple testing adjusted p-values (i.e., false discovery rate q values) were computed using Benjamini-Hochberg (BH) corrections. Plasma haptoglobulin, epidermal growth factor, hemoglobin, thrombospondin-1, and S100 protein concentrations were two to five fold higher in post-glucose load compared with pre-glucose load samples (all q-values <0.05). Among women aged >31 years (above median), post-load S100 protein was elevated 9.92-fold above pre-load concentrations, while it was elevated 4.10-fold among women aged <31 years (below median). Similarly, among women with post-load glucose concentrations <101mg/dl (below median), S100 was elevated 8.26-fold while it was elevated 3.28 fold among women with post-load glucose concentrations >101mg/dl (above median). Our study findings suggest that post-glucose load changes in plasma biomarkers represent a diverse set of cellular responses including receptor for advanced glycation end products (RAGE), inflammation, oxidative stress and adipogenesis, during mid-pregnancy. Future studies of larger populations and longer periods of follow-up are warranted.

Indexed as

mid-pregnancyoral glucose loadPlasma protein

Identifiers

PMID21915367
PMCPMC3166156

What OpenQuestion holds

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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.