Evidence map›Paper›PMID 34221863›Full record

ReviewActa pharmaceutica Sinica. B2021

Insight into chemical basis of traditional Chinese medicine based on the state-of-the-art techniques of liquid chromatography-mass spectrometry.

Yang Yu, Changliang Yao, De-An Guo

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Acta pharmaceutica Sinica. B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 122 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Yang YuShanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Changliang YaoShanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
De-An GuoShanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional Chinese medicine (TCM) has been an indispensable source of drugs for curing various human diseases. However, the inherent chemical diversity and complexity of TCM restricted the safety and efficacy of its usage. Over the past few decades, the combination of liquid chromatography with mass spectrometry has contributed greatly to the TCM qualitative analysis. And novel approaches have been continuously introduced to improve the analytical performance, including both the data acquisition methods to generate a large and informative dataset, and the data post-processing tools to extract the structure-related MS information. Furthermore, the fast-developing computer techniques and big data analytics have markedly enriched the data processing tools, bringing benefits of high efficiency and accuracy. To provide an up-to-date review of the latest techniques on the TCM qualitative analysis, multiple data-independent acquisition methods and data-dependent acquisition methods (precursor ion list, dynamic exclusion, mass tag, precursor ion scan, neutral loss scan, and multiple reaction monitoring) and post-processing techniques (mass defect filtering, diagnostic ion filtering, neutral loss filtering, mass spectral trees similarity filter, molecular networking, statistical analysis, database matching, etc.) were summarized and categorized. Applications of each technique and integrated analytical strategies were highlighted, discussion and future perspectives were proposed as well.

Indexed as

BS, background subtractionCCS, collision cross sectionCE, collision energyCID, collision-induced dissociationcMRM, conventional multiple reaction monitoringData acquisitionData post-processingDDA, data-dependent acquisitionDE, dynamic exclusionDIA, data-independent acquisitionDIF, diagnostic ion filteringDM, database matchingEL, exclusion listEMS, enhanced mass spectrumEPI, enhanced product ionFS, full scanHCD, high-energy C-trap dissociationIDA, information dependent acquisitionIM, ion mobilityIPF, isotope pattern filteringISCID, in-source collision-induced dissociationLC, liquid chromatographyLiquid chromatography−mass spectrometryLTQ-Orbitrap, linear ion-trap/orbitrapMDF, mass defect filteringMIM, multiple ion monitoringMN, molecular networkingMRM, multiple reaction monitoringMS, mass spectrometryMTSF, mass spectral trees similarity filterNLF, neutral loss filteringNL, neutral lossNLS, neutral loss scanNRF, nitrogen rule filteringPCA, principal component analysisPIL, precursor ion listPIS, precursor ion scanPLS-DA, partial least square-discriminant analysisQqQ, triple quadrupoleQSRR, quantitative structure retention relationshipQ-TRAP, hybrid triple quadrupole-linear ion trapQualitative analysisRT, retention timeSA, statistical analysissMRM, scheduled multiple reaction monitoringTCM, traditional Chinese medicineTraditional Chinese medicineUHPLC, ultra-high performance liquid chromatography

Identifiers

PMID34221863
PMCPMC8245813
OpenAlexW3133900070

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.