Evidence map›Paper›PMID 36248054›Full record

ArticleJournal of analytical methods in chemistry2022

Pharmacokinetic Analysis of Diosgenin in Rat Plasma by a UPLC-MS/MS Approach.

Pei Liu, Lin Xu, Jing-Han Guo, Jin-Hua Chang, Xi-Gang Liu, He-Fei Xue, Ru-Xing Wang, Zhong-Si Li, Guang-Xin Miao, Cui-Zhe Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of analytical methods in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
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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

11 authors at 2 institutions in 1 country.

Pei LiuHebei Province Key Laboratory of Nerve Injury and Repair, Hebei Province Key Laboratory of Research and Development for Chinese Medicine, Chengde Medical University, Chengde, Hebei 067000, China.ORCID https://orcid.org/0000-0003-3989-4219
Lin XuHebei Province Key Laboratory of Nerve Injury and Repair, Hebei Province Key Laboratory of Research and Development for Chinese Medicine, Chengde Medical University, Chengde, Hebei 067000, China.ORCID https://orcid.org/0000-0001-7057-4091
Jing-Han GuoBeijing North Institute of Biotechnology, No. 20 Panjiamiao Rd, Fengtai District, Beijing 100071, China.ORCID https://orcid.org/0000-0003-0945-8758
Jin-Hua ChangHebei Province Key Laboratory of Nerve Injury and Repair, Hebei Province Key Laboratory of Research and Development for Chinese Medicine, Chengde Medical University, Chengde, Hebei 067000, China.ORCID https://orcid.org/0000-0002-4120-1066
Xi-Gang LiuHebei Province Key Laboratory of Nerve Injury and Repair, Hebei Province Key Laboratory of Research and Development for Chinese Medicine, Chengde Medical University, Chengde, Hebei 067000, China.ORCID https://orcid.org/0000-0002-5772-3731
He-Fei XueHebei Province Key Laboratory of Nerve Injury and Repair, Hebei Province Key Laboratory of Research and Development for Chinese Medicine, Chengde Medical University, Chengde, Hebei 067000, China.ORCID https://orcid.org/0000-0003-1147-620X
Ru-Xing WangHebei Province Key Laboratory of Nerve Injury and Repair, Hebei Province Key Laboratory of Research and Development for Chinese Medicine, Chengde Medical University, Chengde, Hebei 067000, China.ORCID https://orcid.org/0000-0002-3490-0280
Zhong-Si LiHebei Province Key Laboratory of Nerve Injury and Repair, Hebei Province Key Laboratory of Research and Development for Chinese Medicine, Chengde Medical University, Chengde, Hebei 067000, China.ORCID https://orcid.org/0000-0001-5456-1776
Guang-Xin MiaoHebei Province Key Laboratory of Nerve Injury and Repair, Hebei Province Key Laboratory of Research and Development for Chinese Medicine, Chengde Medical University, Chengde, Hebei 067000, China.ORCID https://orcid.org/0000-0003-3074-0459
Cui-Zhe LiuHebei Province Key Laboratory of Nerve Injury and Repair, Hebei Province Key Laboratory of Research and Development for Chinese Medicine, Chengde Medical University, Chengde, Hebei 067000, China.ORCID https://orcid.org/0000-0001-6161-1452
Jian-Yu ZhouHebei Province Key Laboratory of Nerve Injury and Repair, Hebei Province Key Laboratory of Research and Development for Chinese Medicine, Chengde Medical University, Chengde, Hebei 067000, China.ORCID https://orcid.org/0000-0002-1227-2316
Chengde Medical University · CNBeijing Fengtai Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diosgenin, a steroidal sapogenin, has attracted attention worldwide owing to its pharmacological properties, including antitumor, cardiovascular protective, hypolipidemic, and anti-inflammatory effects. The current diosgenin analysis methods have the disadvantages of long analysis time and low sensitivity. The aim of the present study was to establish an efficient, sensitive ultrahigh-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) approach for pharmacokinetic analysis of diosgenin amorphous solid dispersion (ASD) using tanshinone IIA as an internal standard (IS). Male Sprague-Dawley rats were orally administered diosgenin ASD, and orbital blood samples were collected for analysis. Protein precipitation was performed with methanol-acetonitrile (50 : 50, v/v), and the analytes were separated under isocratic elution by applying acetonitrile and 0.03% formic acid aqueous solution at a ratio of 80 : 20 as the mobile phase. MS with positive electron spray ionization in multiple reaction monitoring modes was applied to determine diosgenin and IS with

Identifiers

PMID36248054
PMCPMC9553667
OpenAlexW4298111281

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.