Evidence map›Paper›PMID 30971728›Full record

ArticleScientific reports2019

Biological ingredient complement chemical ingredient in the assessment of the quality of TCM preparations.

Hong Bai, Xianhong Li, Hongjun Li, Jialiang Yang, Kang Ning

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Hong BaiSchool of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
Xianhong LiCollege of Biological Sciences, Zhejiang University of Science and Technology, Hangzhou, 454000, P. R. China.
Hongjun LiSchool of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
Jialiang YangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, NewYork, USA. jialiang.yang@mssm.edu.ORCID http://orcid.org/0000-0003-4689-8672
Kang NingSchool of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China. ningkang@hust.edu.cn.ORCID http://orcid.org/0000-0003-3325-5387

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional Chinese Medicine (TCM) preparations have been used in China for thousands of years. Quality evaluation for TCM preparations could be conducted based on chemical ingredients or biological ingredients. To date, the overwhelming majority of researches have focused on chemical ingredients while few studies were reported for biological ingredients. It is only recently that the assessments based on biological ingredients have drawn broader attentions. In this work, we have established a method for quality evaluation of TCM preparations by combination of chemical ingredients determined by HPLC fingerprint and biological ingredients obtained by high-throughput sequencing. This proof-of-concept method has been evaluated and compared with existing methods on Liuwei Dihuang Wan, a classical TCM preparation in China. By comparison of this method with those only based on chemical or biological ingredients, it is suggested that (1) Biological ingredient could complement chemical ingredient in separating TCM preparation from different manufacturers and batches with high accuracy; (2) classification of samples based on selected features would always out-perform those based on all features (either chemical or biological or both). By rationally selecting representative biological and chemical features, we have proven that these two types of features could complement each other for the assessment of ingredient consistencies and differences among various TCM samples, which is helpful to ensure the effectiveness, safety and legality of TCM preparations.

Indexed as

BiomarkersChromatography, High Pressure LiquidCluster AnalysisDrugs, Chinese HerbalMedicine, Chinese TraditionalQuality ControlBiomarkersDrugs, Chinese Herballiu-wei-di-huang wan

Identifiers

PMID30971728
PMCPMC6458136

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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.