Evidence map›Paper›PMID 40050383›Full record

ArticleScientific reports2025

Development of a leaf metabolite-based intact sample distinguishing algorithm for the three varieties of Panax Vietnamensis.

Ranran Cheng, Young Cheol Yoon, Cheol Woon Jung, Tae Ha Kim, Qiang Wang, Woohyeon Cho, Tae-Jin Yang, Thi Hong Van Le, Chan Jae Cho, Jae Hyun Kim and 4 more

Erratum issuedAbstract read
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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Novel indole alkaloids from the flower buds ofJournal of ginseng research · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Ranran ChengCollege of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
Young Cheol YoonCollege of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
Cheol Woon JungCollege of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
Tae Ha KimCollege of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
Qiang WangHenan Academy of Sciences, No. 228, Chongshili Road, Zhengdong New District, Zhengzhou, 450002, Henan Province, China.
Woohyeon ChoDepartment of Agriculture, Forestry and Bioresources, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Tae-Jin YangDepartment of Agriculture, Forestry and Bioresources, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Thi Hong Van LeFaculty of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, 70000, Vietnam.
Chan Jae ChoDepartment of Global Innovative Drugs, Chung-Ang University, Seoul, 06974, Republic of Korea.
Jae Hyun KimDepartment of Global Innovative Drugs, Chung-Ang University, Seoul, 06974, Republic of Korea.
Gyu Hwan HyunResearch Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Jeong Hill ParkResearch Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Sung Won KwonCollege of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea. swkwon@snu.ac.kr.
Sun Jo KimCollege of Pharmacy, Chonnam National University, Gwangju, 61186, Republic of Korea. sunjokim@jnu.ac.kr.

Funding

Rural Development Administration of Korea PJ017031
6 · The paper itself

Abstract

Panax vietnamensis, indigenous to Vietnam and southern China, is classified into three subspecies: Panax vietnamensis Ha et Grushv. (PVV), Panax vietnamensis var. fuscidiscus (PVF), and Panax vietnamensis var. langbianensis (PVL). A method to distinguish these varieties in their intact form is absent, which poses a possible risk of misclassification. Here, we aimed to devise a plant metabolite-based discrimination algorithm for the three varieties, without causing significant damage to individual plants. A multivariate analysis on mass spectral data of PVV, PVF, and PVL revealed that a peak at m/z 426, which was subsequently identified as an indole alkaloid glycoside, was exclusive to PVF and therefore clearly distinguished PVF from PVV and PVL. Additionally, global metabolic profiling was conducted to elucidate the discrimination markers between PVV and PVL, and lysophospholipids and hydroxy fatty acids were selected as potential discrimination markers. The performance of these markers was validated by cross-validation using machine learning algorithm.

Indexed as

AlgorithmsMetabolomicsPanaxPlant LeavesMachine LearningMetabolomeDiscriminative markersMetabolomicsPanax vietnamensis Ha et Grushv.Panax vietnamensis var. fuscidiscusPanax vietnamensis var. langbianensis

Identifiers

PMID40050383
PMCPMC11885644

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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.