Evidence map›Paper›PMID 30501046›Full record

ArticleMolecules (Basel, Switzerland)2018

Identification and Analysis of Compound Profiles of Sinisan Based on 'Individual Herb, Herb-Pair, Herbal Formula' before and after Processing Using UHPLC-Q-TOF/MS Coupled with Multiple Statistical Strategy.

Jia Zhou, Hao Cai, Sicong Tu, Yu Duan, Ke Pei, Yangyang Xu, Jing Liu, Minjie Niu, Yating Zhang, Lin Shen and 1 more

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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.

Jia ZhouSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China. zhoujia19931005@126.com.
Hao CaiSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China. haocai_98@126.com.
Sicong TuMedical Sciences Division, University of Oxford, Oxford OX3 7BN, UK. Sicong.tu@sydney.edu.au.
Yu DuanSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China. duanyu1681@sina.com.
Ke PeiInstitute of Pharmaceutical and Food Engineering, Shanxi University of Traditional Chinese Medicine, Taiyuan 030024, China. peike_pk@126.com.
Yangyang XuSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China. yangyangxu92@126.com.
Jing LiuSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China. 15951921665@163.com.
Minjie NiuSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China. someonearis@163.com.
Yating ZhangSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China. zhangyatingzyt@126.com.
Lin ShenSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China. sonesunfany@sina.cn.
Qigang ZhouSchool of Pharmacy, Nanjing Medical University, Nanjing 210026, China. qigangzhou@njmu.edu.cn.

Funding

National Natural Science Foundation of China No. 81673600
6 · The paper itself

Abstract

Sinisan has been widely used to treat depression. However, its pharmacologically-effective constituents are largely unknown, and the pharmacological effects and clinical efficacies of Sinisan-containing processed medicinal herbs may change. To address these important issues, we developed an ultra-high performance liquid chromatography coupled with electrospray ionization tandem quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) method coupled with multiple statistical strategies to analyze the compound profiles of Sinisan, including individual herb, herb-pair, and complicated Chinese medicinal formula. As a result, 122 different constituents from individual herb, herb-pair, and complicated Chinese medicinal formula were identified totally. Through the comparison of three progressive levels, it suggests that processing herbal medicine and/or altering medicinal formula compatibility could change herbal chemical constituents, resulting in different pharmacological effects. This is also the first report that saikosaponin h/i and saikosaponin g have been identified in Sinisan.

Indexed as

Statistics as TopicChromatography, High Pressure LiquidDrugs, Chinese HerbalMultivariate AnalysisOleanolic AcidPrincipal Component AnalysisSaponinsTandem Mass SpectrometryDrugs, Chinese HerbalOleanolic Acidsaikosaponin DSaponinschemical constituent profiles of Sinisanchinese medicinal formula compatibilitychinese medicine processing

Identifiers

PMID30501046
PMCPMC6320893

What OpenQuestion holds

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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.