Evidence map›Paper›PMID 36364097›Full record

ArticleMolecules (Basel, Switzerland)2022

A Rapid and Sensitive LC-MS/MS Method for the Quantitation of Physalin A with Special Consideration to Chemical Stability in Rat Plasma: Application to a Pharmacokinetic Study.

Yang Li, Na Zhao, Tingting Zhang, Xinchi Feng

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yang LiSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Na ZhaoSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Tingting ZhangSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Xinchi FengSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.ORCID 0000-0002-3522-0471

Funding

National Natural Science Foundation of China 81873079Technology Major Project of China "Key New Drug Creation and Manufacturing Program" 2017ZX09301012-001
6 · The paper itself

Abstract

Physalin A is a promising natural product with excellent anti-inflammatory and anti-tumor activities. However, the pharmacokinetic profile of physalin A is still unclear. In this study, a rapid and sensitive analytical method based on LC-MS/MS for the quantitation of physalin A in rat plasma with special consideration to its chemical stability was developed and validated. To avoid the degradation of physalin A, the separation of plasma was conducted at 4 °C directly after the blood samples were collected. Meanwhile, plasma samples were immediately precipitated with acetonitrile containing tolbutamide (internal standard, IS) and the pH of the supernatant was adjusted to 1.5 with formic acid. Chromatographic separation of physalin A and IS was achieved on an ACQUITY UPLC BEH-C18 column (2.1 × 50 mm, 1.7 μm) using 0.1% formic acid and acetonitrile as mobile phase delivered at 0.3 mL/min in a gradient elution mode. Physalin A and IS were detected through negative ion electrospray ionization in multiple reaction monitoring (MRM) mode. The MS/MS ion transitions for physalin A and IS were

Indexed as

Tandem Mass SpectrometryAcetonitrilesAnimalsChromatography, High Pressure LiquidChromatography, LiquidFormatesRatsRats, Sprague-DawleyReproducibility of ResultsWithanolidesAcetonitrilesFormatesformic acidphysalin AWithanolidesLC–MS/MSpharmacokineticsphysalin Astability

Identifiers

PMID36364097
PMCPMC9656453

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.