Evidence map›Paper›PMID 35115762›Full record

ArticleDrug design, development and therapy2022

Discovery of Biomarkers and Potential Mechanisms of Agarwood Incense Smoke Intervention by Untargeted Metabolomics and Network Pharmacology.

Meiyue Dong, Haitao Du, Xueling Li, Ling Zhang, Xiaoming Wang, Zhenguo Wang, Haiqiang Jiang

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-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

10 citing papers in PubMed, 17 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

7 authors at 1 institution in 1 country.

Meiyue Dong *Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, People's Republic of China.ORCID 0000-0002-3754-5173
Haitao Du *School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.
Xueling LiSchool of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.ORCID 0000-0002-1534-6202
Ling ZhangSchool of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.
Xiaoming WangExperimental Centre, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.
Zhenguo WangShandong Provincial Key Laboratory of Traditional Chinese Medicine for Basic research, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.
Haiqiang JiangInnovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, People's Republic of China.
Shandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAgarwood, as a traditional Chinese medicine, has great potential value for the treatment of tranquilization. However, its potential mechanisms and biomarkers are still unclear.

methodsIn this study, ultra-high performance liquid chromatography-quadrupole-Exactive Orbitrap mass spectrometry (UHPLC-Q-Exactive Orbitrap-MS)-based metabonomics was adopted to discover the potential biomarkers in mice after agarwood incense smoke (AIS) intervention. Furthermore, the chemical components in agarwood were identified based on UHPLC-Q-Exactive Orbitrap-MS. The global view of potential compound-target-pathway (C-T-B) network was constructed through network pharmacology to understand the potentially material basis of biomarkers.

resultsMetabolic profiling indicated that the metabolic changed significantly in mice serum after AIS intervention. A total of 18 potential biomarkers closely related to insomnia and emotional disease were identified, mainly involving in tryptophan metabolism, arginine and proline metabolism, cysteine and methionine metabolism and steroid hormone biosynthesis pathways. A total of 138 components in agarwood were identified based on UHPLC-Q-Exactive Orbitrap-MS. The results showed that mainly compounds such as flidersia type 2-(2-phenylethyl) chromones (FTPECs) and sesquiterpenes exerted good docking abilities with key target proteins, which were involved in multiple diseases including depression and hypnosis.

conclusionIn conclusion, this study enhanced current understanding of the change of metabolic markers after AIS intervention. Meanwhile, it also confirmed the feasibility of combining metabolomics and network pharmacology to identify active components and elucidate the material basis of biomarkers and mechanisms.

Indexed as

Network PharmacologyAnimalsBiomarkersChromatography, High Pressure LiquidDrugs, Chinese HerbalMaleMass SpectrometryMedicine, Chinese TraditionalMetabolomicsMiceMice, Inbred C57BLSmokeThymelaeaceaeBiomarkersDrugs, Chinese HerbalSmokeagarwoodbiomarkerschemical constituentsmetabolomicsnetwork pharmacology

Identifiers

PMID35115762
PMCPMC8801373
OpenAlexW4207044473

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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.