Evidence map›Paper›PMID 42484424›Full record

ArticleBiomedical chromatography : BMC2026

Development and Validation of a HPLC-MS/MS Method for Quantification of Andrographolide in Rat Plasma by Using Lithium Adduct Detection.

Lei Mingdao, Huang Haijin, Luo Xiaoliang, Peng Guoshuang, Sun Yongbing

Abstract read
In one paragraph

Article in Biomedical chromatography : BMC, 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

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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lei MingdaoDepartment of Pharmacy, Jiangxi Maternal and Child Health Hospital, Nanchang, China.
Huang HaijinWest China Second Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0001-8486-3716
Luo XiaoliangThe Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Peng GuoshuangDivision of Pharmaceutics, National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Sun YongbingDivision of Pharmaceutics, National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, Jiangxi University of Traditional Chinese Medicine, Nanchang, China.ORCID https://orcid.org/0000-0001-8186-3745

Funding

Advanced Innovation Talents of Science and Technology in Jiangxi Province Jxsp2023201078National Natural Science Foundation of China 82360705Natural Science Foundation of Jiangxi Province 20242BAB26174Program‌ from Jiangxi Provincial Administration of Tradition 2021B642Program from Jiangxi Provincial Health Commission 202211143
6 · The paper itself

Abstract

In this study, a simple high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method has been developed for quantification of andrographolide in rat plasma using andrographolide-lithium adduct as the precursor ion for the first time. The addition of lithium carbonate into the mobile phase could increase the mass response of andrographolide by approximately 100-fold. The analytes were retained and separated on a C18 column and analyzed using a triple quadrupole mass spectrometer equipped with an ESI source. Andrographolide exhibited excellent retention on the C18 column under optimized chromatographic conditions. A simple protein precipitation pretreatment resulted in high extraction recovery (approximately 100%) and negligible matrix effects. The method was linear over the concentration range of 2.00-1606.00 ng/mL. Both precision and accuracy were within acceptable limits. This simple HPLC-MS/MS method has been validated and successfully applied to support pharmacokinetic studies of andrographolide in Sprague-Dawley rats. The present study also provided a strategy for improving the mass response of drugs with low ionization efficiency, especially compounds from plants.

Indexed as

DiterpenesLiquid Chromatography-Mass SpectrometryLithiumTandem Mass SpectrometryAnimalsChromatography, High Pressure LiquidLimit of DetectionLinear ModelsMaleRatsRats, Sprague-DawleyReproducibility of ResultsandrographolideDiterpenesLithiumandrographolideHPLC–MS/MSlithium adduct ionpharmacokineticsprotein precipitation

Identifiers

PMID42484424
PMCPMC13390591

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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.