Evidence map›Paper›PMID 29984222›Full record

ArticleSeparations2018

HPLC Method Development for Quantification of Doxorubicin in Cell Culture and Placental Perfusion Media.

Mansi Shah, Luke Bourner, Shariq Ali, Sanaalarab Al-Enazy, Menatallah M Youssef, Morgan Fisler, Erik Rytting

Abstract read
In one paragraph

Article in Separations, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. 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

7 authors.

Mansi ShahDepartment of Obstetrics & Gynecology, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555-1062, USA.
Luke BournerDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555-1062, USA.
Shariq AliDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555-1062, USA.
Sanaalarab Al-EnazyDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555-1062, USA.
Menatallah M YoussefDepartment of Pharmaceutical Analytical Chemistry, Ain-Shams University, Cairo 1156, Egypt.
Morgan FislerDepartment of Obstetrics & Gynecology, Medical University of South Carolina, Charleston, SC 29425, USA.
Erik RyttingDepartment of Obstetrics & Gynecology, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555-1062, USA.

Funding

UTMB OPRC Administrative CoreU54HD047891 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI DUKES, KIMBERLY A. · 2015 to 2019
$4.8M
NICHD NIH HHS U54 HD047891
6 · The paper itself

Abstract

Assessment of drug transport across the placenta is important in understanding the effect of drugs on placental and fetal health. These phenomena can be studied in both in vitro cell lines and ex vivo placental perfusions. We have successfully developed a sensitive yet simple high performance liquid chromatography (HPLC) method coupled with fluorescence detection to determine the concentration of doxorubicin (DXR) in cell culture media for transport studies in human trophoblast cells (BeWo, b30 clone) and in fetal media for placental perfusion experiments. The method was developed based on a protein precipitation technique and was validated in both media types for linearity, intra-day, and inter-day precision and accuracy. The relationship of peak area to concentration was linear with

Indexed as

analytical methodanthracyclineBeWo cell culture mediadoxorubicinfluorescencehigh performance liquid chromatographyperfusionplacenta

Identifiers

PMID29984222
PMCPMC6035002

What OpenQuestion holds

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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.