Evidence map›Paper›PMID 24888649›Full record

ArticleScientific reports2014

Biological ingredient analysis of traditional Chinese medicine preparation based on high-throughput sequencing: the story for Liuwei Dihuang Wan.

Xinwei Cheng, Xiaoquan Su, Xiaohua Chen, Huanxin Zhao, Cunpei Bo, Jian Xu, Hong Bai, Kang Ning

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 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

8 authors.

Xinwei Cheng1] Institute of Materia Medica, Shandong Academy of Medical Sciences, Jinan, Shandong, 250062, China [2] School of Medicine and Life Sciences, , University of Jinan-Shandong Academy of Medical Sciences, Jinan 250062, China [3].
Xiaoquan Su1] Shandong Key Laboratory of Energy Genetics, CAS Key Laboratory of Biofuels and Bioinformatics Group of SingleCell Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao266101, China [2].
Xiaohua ChenShandong Key Laboratory of Energy Genetics, CAS Key Laboratory of Biofuels and Bioinformatics Group of SingleCell Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao266101, China.
Huanxin ZhaoInstitute of Materia Medica, Shandong Academy of Medical Sciences, Jinan, Shandong, 250062, China.
Cunpei BoShandong Key Laboratory of Energy Genetics, CAS Key Laboratory of Biofuels and Bioinformatics Group of SingleCell Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao266101, China.
Jian XuShandong Key Laboratory of Energy Genetics, CAS Key Laboratory of Biofuels and Bioinformatics Group of SingleCell Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao266101, China.
Hong BaiInstitute of Materia Medica, Shandong Academy of Medical Sciences, Jinan, Shandong, 250062, China.
Kang NingShandong Key Laboratory of Energy Genetics, CAS Key Laboratory of Biofuels and Bioinformatics Group of SingleCell Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao266101, China.

Funding

Tailored Mobile Text Messaging to Reduce Problem DrinkingR34AA021502 · NIAAA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MUENCH, FREDERICK JOHN · 2012 to 2014
$675k
NIAAA NIH HHS R34 AA021502
6 · The paper itself

Abstract

Although Traditional Chinese Medicine (TCM) preparations have long history with successful applications, the scientific and systematic quality assessment of TCM preparations mainly focuses on chemical constituents and is far from comprehensive. There are currently only few primitive studies on assessment of biological ingredients in TCM preparations. Here, we have proposed a method, M-TCM, for biological assessment of the quality of TCM preparations based on high-throughput sequencing and metagenomic analysis. We have tested this method on Liuwei Dihuang Wan (LDW), a TCM whose ingredients have been well-defined. Our results have shown that firstly, this method could determine the biological ingredients of LDW preparations. Secondly, the quality and stability of LDW varies significantly among different manufacturers. Thirdly, the overall quality of LDW samples is significantly affected by their biological contaminations. This novel strategy has the potential to achieve comprehensive ingredient profiling of TCM preparations.

Indexed as

AlgorithmsBase SequenceDNA, PlantDrug ContaminationDrugs, Chinese HerbalHigh-Throughput Nucleotide SequencingMolecular Sequence DataDNA, PlantDrugs, Chinese Herballiu-wei-di-huang wan

Identifiers

PMID24888649
PMCPMC4042125

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.