Evidence map›Paper›PMID 26526139›Full record

ArticleReviews in analytical chemistry2014

Studies of drug interactions with glycated human serum albumin by high-performance affinity chromatography.

Ryan Matsuda, So-Hwang Kye, Jeanethe Anguizola, David S Hage

Open access · hybridAbstract read
In one paragraph

Article in Reviews in analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Characterization of binding by sulfonylureas with normal or modified human serum albumin using affinity microcolumns prepared by entrapment.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2023
    Article
  4. Analysis of the binding of warfarin to glyoxal- and methylglyoxal-modified human serum albumin by ultrafast affinity extraction.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2022
    Article
  5. Article
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

Ryan Matsuda
So-Hwang Kye
Jeanethe Anguizola
David S Hage
University of Nebraska–Lincoln · US

Funding

CHROMATOGRAPHIC AUTOMATION OF IMMUNOASSAYSR01GM044931 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI HAGE, DAVID S · 1998 to 2014
$2.7M
CHROMATOGRAPHIC STUDIES OF FUNCTIONAL PROTEOMICSR01DK069629 · NIDDK · UNIVERSITY OF NEBRASKA LINCOLN · PI HAGE, DAVID S · 2006 to 2017
$1.8M
NIDDK NIH HHS R01 DK069629NIGMS NIH HHS R01 GM044931
6 · The paper itself

Abstract

Diabetes is a health condition associated with elevated levels of glucose in the bloodstream and affects 366 million people worldwide. Type II diabetes is often treated with sulfonylurea drugs, which are known to bind tightly in blood to the transport protein human serum albumin (HSA). One consequence of the elevated levels of glucose in diabetes is the non-enzymatic glycation of proteins such as HSA. Several areas of HSA are now known to be affected by glycation-related modifications, which may in turn affect the binding of sulfonylurea drugs and other solutes to this protein. This review discusses some recent studies that have examined these changes in drug-protein binding by employing high-performance affinity chromatography (HPAC). A description of the theoretical and experimental techniques that were used in these studies is given. The information on drug interactions with glycated HSA, as obtained through this method, is also summarized. In addition, the potential advantages of this approach in the areas of biointeraction analysis and personalized medicine are considered.

Indexed as

binding studiesdiabetesdrug-protein bindingglycationhigh-performance affinity chromatographyhuman serum albuminsulfonylurea drugs

Identifiers

PMID26526139
PMCPMC4623599
OpenAlexW2060672233

What OpenQuestion holds

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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.