Evidence map›Paper›PMID 27375814›Full record

ArticleBiomicrofluidics2016

Field amplified sample stacking of amyloid beta (1-42) oligomers using capillary electrophoresis.

Sadia Paracha, Christa Hestekin

Abstract read
In one paragraph

Article in Biomicrofluidics, 2016. 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
–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

4 citing papers in PubMed.

  1. Isolation and Self-Association Studies of Beta-Lactoglobulin.International journal of molecular sciences · 2020
    Article
  2. Article
  3. Article
  4. Article
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

2 authors.

Sadia ParachaRalph E. Martin Department of Chemical Engineering, University of Arkansas , Fayetteville, Arkansas 72701, USA.
Christa HestekinRalph E. Martin Department of Chemical Engineering, University of Arkansas , Fayetteville, Arkansas 72701, USA.

Funding

Center for Protein Structure and FunctionP30GM103450 · NIGMS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI MILLETT, FRANCIS S · 2012 to 2014
$3.2M
RESEARCH PILOT PROJECT PROGRAMP30RR031154 · NCRR · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI HINTON, JAMES F · 2010 to 2011
$2.2M
NCRR NIH HHS P30 RR031154NIGMS NIH HHS P30 GM103450
6 · The paper itself

Abstract

Oligomeric forms of the amyloid beta (Aβ) protein have been indicated to be an important factor in the development of Alzheimer's disease (AD). Since the oligomeric forms of Aβ can vary in size and conformation, it is vital to understand the early stages of Aβ aggregation in order to improve the care and treatment of patients with AD. This is the first study to determine the effect of field amplified sample stacking (FASS) on the separation of oligomeric forms of Aβ1-42 using capillary electrophoresis (CE) with ultraviolet (UV) detection. UV-CE was able to separate two different species of Aβ1-42 oligomers (<7 mers and 7-22 mers). Although FASS required the use of a higher ionic strength buffer, Aβ1-42 oligomers had the same aggregation behavior as under the non-FASS conditions with only small changes in the amounts of oligomers observed. In general, FASS provided smaller peak widths (>75% average reduction) and increased peak heights (>60% average increase) when compared to non-FASS conditions. UV-CE with FASS also provided higher resolution between the Aβ1-42 oligomers for all aggregation time points studied. In addition, Congo red and Orange G inhibition studies were used to help evaluate the conformation of the observed species. This work demonstrates the ability of UV-CE employing FASS to provide higher resolution between oligomeric forms of Aβ1-42 without significantly altering their aggregation.

Identifiers

PMID27375814
PMCPMC4912557

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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.