Evidence map›Paper›PMID 35278810›Full record

ArticleJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2022

UPLC-MS/MS method for the quantification of MCI-77, a novel sigma-1 receptor ligand, and its application to pharmacokinetic studies.

Raluca Popa, Shyam H Kamble, Raju S Kanumuri, Tamara I King, Erin C Berthold, Sebastiano Intagliata, Abhisheak Sharma, Christopher R McCurdy

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

Article in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
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

8 authors at 1 institution in 1 country.

Raluca PopaDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Shyam H KambleDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, USA; Translational Drug Development Core, Clinical and Translational Science Institute, University of Florida, Gainesville, FL, USA.
Raju S KanumuriDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, USA; Translational Drug Development Core, Clinical and Translational Science Institute, University of Florida, Gainesville, FL, USA.
Tamara I KingDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Erin C BertholdDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Sebastiano IntagliataDepartment of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Abhisheak SharmaDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, USA; Translational Drug Development Core, Clinical and Translational Science Institute, University of Florida, Gainesville, FL, USA.
Christopher R McCurdyDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, USA; Translational Drug Development Core, Clinical and Translational Science Institute, University of Florida, Gainesville, FL, USA; Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL, USA. Electronic address: cmccurdy@cop.ufl.edu.
University of Florida · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

Sigma-1 receptors are involved in pain modulation, particularly in cases of nerve injury and neuropathic pain. High-affinity ligands with improved pharmacokinetic profiles are needed to further investigate the properties of these receptors and their potential as a therapeutic target. The novel compound MCI-77 is one such selective sigma-1 receptor ligand, and the purpose of this study was to characterize its preclinical pharmacokinetic parameters. An ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was developed and validated to quantify MCI-77 in mouse plasma and brain homogenate. The method was validated for sensitivity, selectivity, linearity, accuracy, precision, stability, and dilution integrity. The method has a linearity range of 2-200 ng/mL, a short run-time of 3.2 min, and requires a low sample volume of 25 µL. A simple protein precipitation procedure was used for compound extraction. Samples were run on an Acquity UPLC BEH C

Indexed as

Tandem Mass SpectrometryAnimalsChromatography, High Pressure LiquidChromatography, LiquidLigandsMiceReceptors, sigmaReproducibility of ResultsSigma-1 ReceptorLigandsReceptors, sigmaSigma-1 ReceptorMethod validationPharmacokineticsSigma-1 receptorUPLC-MS/MS

Identifiers

PMID35278810
PMCPMC10019089
OpenAlexW4220969880

What OpenQuestion holds

Textmetadata
LicenceTDM
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.