Evidence map›Paper›PMID 36250426›Full record

ReviewElectrophoresis2022

Analysis of drug interactions with serum proteins and related binding agents by affinity capillary electrophoresis: A review.

Sadia Sharmeen, Isaac Kyei, Arden Hatch, David S Hage

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Electrophoresis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 24 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

4 authors at 1 institution in 1 country.

Sadia SharmeenDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Isaac KyeiDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Arden HatchDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
David S HageDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID https://orcid.org/0000-0003-1145-5003
University of Nebraska–Lincoln · US

Funding

National Science Foundation CMI 2108881University of Nebraska Research Council
6 · The paper itself

Abstract

Biomolecules such as serum proteins can interact with drugs in the body and influence their pharmaceutical effects. Specific and precise methods that analyze these interactions are critical for drug development or monitoring and for diagnostic purposes. Affinity capillary electrophoresis (ACE) is one technique that can be used to examine the binding between drugs and serum proteins, or other agents found in serum or blood. This article will review the basic principles of ACE, along with related affinity-based capillary electrophoresis (CE) methods, and examine recent developments that have occurred in this field as related to the characterization of drug-protein interactions. An overview will be given of the various formats that can be used in ACE and CE for such work, including the relative advantages or weaknesses of each approach. Various applications of ACE and affinity-based CE methods for the analysis of drug interactions with serum proteins and other binding agents will also be presented. Applications of ACE and related techniques that will be discussed include drug interaction studies with serum agents, chiral drug separations employing serum proteins, and the use of CE in hybrid methods to characterize drug binding with serum proteins.

Indexed as

Blood ProteinsElectrophoresis, CapillaryDrug InteractionsBlood Proteinsaffinity capillary electrophoresisdrug-protein bindingHummel-Dreyer methodmobility shift assayserum proteins

Identifiers

PMID36250426
PMCPMC10098505
OpenAlexW4306403226

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.