Evidence map›Paper›PMID 23703112›Full record

ArticleThe AAPS journal2013

Utilization of gene expression signature for quality control of traditional Chinese medicine formula Si-Wu-Tang.

Chen Xie, Zhijun Wang, Charles Wang, Jun Xu, Zhining Wen, Haitian Wang, Leming Shi, Moses S S Chow, Ying Huang, Zhong Zuo

Abstract read
In one paragraph

Article in The AAPS journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

10 authors.

Chen XieSchool of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China.
Zhijun Wang
Charles Wang
Jun Xu
Zhining Wen
Haitian Wang
Leming Shi
Moses S S Chow
Ying Huang
Zhong Zuo

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI STANLEY R. HAMILTON · 1985 to 2026
$86.3M
NCI NIH HHS P30 CA033572
6 · The paper itself

Abstract

The current study utilized a combined pharmacokinetic and genomic approach to demonstrate the feasibility of a new quality control method by using a panel of special differentially expressed genes (DEGs) as unique fingerprint to serve as marker of in vivo bioactivity for a representative traditional Chinese medicine (TCM) formula, Si-Wu-Tang (SWT). The method involves firstly obtaining possible in vivo active components, i.e., the "absorbable" components from the permeate of the Caco-2 monolayer model to simulate oral administration of two specific SWT products (CU-SWT, J-SWT), their component single herbs (Angelicae, Chuanxiong, Paeoniae, and Rehmanniae), and a standard mixture of active compounds (ferulic acid, ligustilide, senkyunolide A). Then, these respective absorbable components were incubated with MCF-7 cells to determine the gene expression profile using microarray processing/analysis as well as real-time PCR. From the available DEGs identified following the incubation, the magnitude of change in DEGs by real-time PCR was found to be consistent with that by microarray. The designated DEGs from the CU-SWT permeate were found to be distinct from other 19 products. Furthermore, the changes in the DEGs resulting from MCF-7 cells treated by eight replicate extracts of CU-SWT on three separate days were consistent. These results demonstrated sufficient specificity and consistency of the DEG panel which could serve as a unique bioactive "fingerprint" for the designated SWT product. The present method for DEG determination may be applied to other TCM products and with further definitive study can potentially provide a unique method for quality control of TCM in the future.

Indexed as

TranscriptomeCaco-2 CellsDrugs, Chinese HerbalHumansMCF-7 CellsMedicine, Chinese TraditionalQuality ControlDrugs, Chinese Herbalsi-wu-tang

Identifiers

PMID23703112
PMCPMC3691416

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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.