Evidence map›Paper›PMID 30999707›Full record

ArticleMolecules (Basel, Switzerland)2019

Quality Control and Variability Assessment of an Eight-Herb Formulation for Hypertension Using Method Validation and Statistical Analysis.

Mariam Jarouche, Harsha Suresh, Mitchell Low, Samiuela Lee, Cindy Xu, Cheang Khoo

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Development of topical silver nano gel formulation of Bixin: Characterization, and evaluation of anticancer activity.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
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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

6 authors at 3 institutions in 1 country.

Mariam JaroucheHerbal Analysis and Pharmacological Laboratories (HAPL), NICM, Western Sydney University,Campbelltown, NSW 2560, Australia. mjarouchee@gmail.com.
Harsha SureshSchool of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia. 17271790@student.westernsydney.edu.au.ORCID 0000-0003-1076-8470
Mitchell LowHerbal Analysis and Pharmacological Laboratories (HAPL), NICM, Western Sydney University,Campbelltown, NSW 2560, Australia. mitchell.low@westernsydney.edu.au.ORCID 0000-0003-2021-1924
Samiuela LeeNational Measurement Institute, North Ryde, NSW 2113, Australia. samiuelalee@gmail.com.
Cindy XuWentworth Institute, NSW 2010, Australia. Cindy@win.edu.au.
Cheang KhooWentworth Institute, NSW 2010, Australia. khoo2031@gmail.com.
Western Sydney University · AUCamden and Campbelltown Hospitals · AUNational Measurement Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background-The quality control (QC) for commercial herbal formulations is sparse due to a lack of well-developed HPLC-ESI-MS/MS methods. Objective-This study reports the quantification of nine selected analytes for a commercial eight-herb formulation known as Qi Ju Di Huang Wan (QJDHW) used to relieve hypertension. Methods-An HPLC-ESI/MS method for the quantitation of analytes selected using the Herbal Chemical Marker Ranking System (Herb MaRS) was developed. The Herb MaRS ranking system which takes into account bioavailability, bioactivity, and physiological action related to its intended use and the commercial availability of the standard. After a method optimization, seven analytes were found to be ideal for quantitation. Results-The target analytes were identified using an electrospray ionization-tandem MS molecular breakdown comparison between the herbal peak and the commercial standard. The quantitative aspect of analyte variability of eleven samples was studied using fold variation. The fold variation of selected analytes among eleven samples ranged from 1.5 to 28.9. The qualitative aspect of variability was studied using principal component analysis (PCA) and hierarchical cluster analysis (HCA). Conclusions-There is a great degree of chemical variability in herbal formulations which are due to raw material harvesting times, storage techniques, and plant subspecies variability. Highlights-Commercial QJDHW formulations need to be standardised using HPLC-ESI-MS/MS to ensure better product quality control (QC) and product efficacy for the consumer.

Indexed as

Quality ControlAntihypertensive AgentsAstragalus propinquusChromatography, High Pressure LiquidDrugs, Chinese HerbalHumansHypertensionTandem Mass SpectrometryAntihypertensive AgentsDrugs, Chinese HerbalHuang Qiherb MaRSHPLC-MShypertensionPCAQi Ju Di Huang Wan

Identifiers

PMID30999707
PMCPMC6515162
OpenAlexW2937181521

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.