Evidence map›Paper›PMID 42289892›Full record

ArticleMagnetic resonance in chemistry : MRC2026

Qualitative and Quantitative Characterization of Isodon rubescens and Its Pharmaceutical Preparations Using NMR and UHPLC-QTOF-MS.

Qiong Wu, Yan Li, Bin Yuan, Qing Xu, Yanfang Liu

Abstract read
In one paragraph

Article in Magnetic resonance in chemistry : MRC, 2026. 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

5 authors.

Qiong WuState Key Laboratory of Marine Food Processing and Safety Control, National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning, China.
Yan LiKey Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, Liaoning, China.ORCID https://orcid.org/0000-0003-2363-4535
Bin YuanJiangxi Provincial Key Laboratory for Pharmacodynamic Material Basis of Traditional Chinese Medicine, Ganjiang Chinese Medicine Innovation Center, Nanchang, China.
Qing XuKey Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, Liaoning, China.
Yanfang LiuKey Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, Liaoning, China.

Funding

Natural Science Foundation of Liaoning Province 2024-BSBA-32Provincial High-level and Urgently Needed Overseas Talent Projects 20232BCJ25057
6 · The paper itself

Abstract

Isodon rubescens is a widely used traditional folk medicine in China. In this study, 13 natural products were isolated using a two-step ethanol extraction. Notably, flavonoid glycosides 2 and 4, and polymeric caffeic acids 7 and 8, were identified for the first time from the secondary extraction residues, highlighting the continued presence of bioactive compounds with potential for further development. Oridonin (9), the major active compound, was quantified in nine commercial preparations using quantitative NMR (qNMR). Its concentration in the drop pill (0.92 mg/g) was comparable to that in the raw extract (0.90 mg/g). The three tablet samples showed varying levels: Tablet 3 (2.66 mg/g) > Tablet 1 (1.22 mg/g) > Tablet 2 (1.09 mg/g). Capsule, tea bag, and syrup samples could not be quantified due to low concentrations.

Indexed as

IsodonCaffeic AcidsChromatography, High Pressure LiquidFlavonoidsLiquid Chromatography-Mass SpectrometryMagnetic Resonance SpectroscopyCaffeic AcidsFlavonoids1H qNMRconcentration measurementERETIC 2Isodon rubescens

Identifiers

PMID42289892
PMCPMC13532870

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.