Evidence map›Paper›PMID 41219530›Full record

ArticleAnalytical and bioanalytical chemistry2026

Elucidating spatiotemporal distribution of chemical constituents from Corydalis Decumbentis Rhizoma in rat brain via integrated UPLC-MS/MS quantification and DESI-MSI visualization.

Xiaoshuang Li, Sijian Chen, Wenxin Zhang, Yuqi Wang, Peng Gao, Yulin Ouyang, Chun Li, Yingyuan Lu, Pengfei Tu

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Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiaoshuang Li *State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Sijian Chen *State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Wenxin ZhangState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Yuqi WangState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Peng GaoState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Yulin OuyangSchool of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangdong, 510006, China.
Chun LiModern Research Center for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China. chunli@bucm.edu.cn.
Yingyuan LuState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China. luyingyuan518@bjmu.edu.cn.
Pengfei TuState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China. pengfeitu@bjmu.edu.cn.

Funding

Guangdong Provincial Key Laboratory of Syndrome and Formula No.2022B1212010012National Key Research and Development Program of China No. 2022YFC3501600National Natural Science Foundation of China No. 82030114
6 · The paper itself

Abstract

Tissue pharmacokinetics is crucial for druggability assessment and plays a vital role in identifying the core bioactive components of traditional Chinese medicines (TCMs). This study aims to develop an integrated analytical approach combining ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) and desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) to systematically characterize the temporal and spatial brain exposure profiles of Corydalis Decumbentis Rhizoma (CDR) in rats. Using UPLC-quadrupole time of flight mass spectrometry (UPLC-QTOF), a total of 35 drug-derived constituents were identified from rat brain after oral administration of CDR. Then, a rapid and sensitive UPLC-triple-stage quadrupole mass spectrometry (UPLC-TSQ) method was developed and validated for the quantification of 15 major alkaloids in rat brain tissue. The pharmacokinetic results indicated that most compounds reached peak concentrations within 4 h and were rapidly eliminated within 12 h. Tetrahydropalmatine and protopine exhibited notably high brain exposure levels (AUC

Indexed as

BrainCorydalisDrugs, Chinese HerbalSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryAnimalsChromatography, High Pressure LiquidLiquid Chromatography-Mass SpectrometryMaleRatsRats, Sprague-DawleyRhizomeTissue DistributionDrugs, Chinese HerbalCorydalis Decumbentis RhizomaDESI-MSIPharmacokineticsSpatiotemporal distributionUPLC-MS/MS

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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.