Evidence map›Paper›PMID 34880597›Full record

ArticleDrug design, development and therapy2021

UPLC-MS/MS and Network Pharmacology-Based Analysis of Bioactive Anti-Depression Compounds in Betel Nut.

Yunjia Yang, Hairong Huang, Zeying Cui, Jun Chu, Guankui Du

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Multi-Targeted Neuroprotection byInternational journal of molecular sciences · 2026
    Article
  4. Article
  5. Review
  6. Betel-quid Use Is Associated with Depression.International journal of medical sciences · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. The Controversial Roles of Areca Nut: Medicine or Toxin?International journal of molecular sciences · 2023
    Review
  13. 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

5 authors at 2 institutions in 1 country.

Yunjia Yang *School of Public Health, Hainan Medical University, Haikou, People's Republic of China.ORCID 0000-0003-0641-1356
Hairong Huang *School of Public Health, Hainan Medical University, Haikou, People's Republic of China.
Zeying CuiKey Laboratory of Molecular Biology, Hainan Medical University, Haikou, People's Republic of China.
Jun ChuKey Laboratory of Xin'an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui, People's Republic of China.
Guankui DuKey Laboratory of Molecular Biology, Hainan Medical University, Haikou, People's Republic of China.ORCID 0000-0002-1117-8299
Hainan Medical University · CNAnhui University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBetel nuts have long been used in traditional Chinese medicine. In our study, the bioactive components of betel nut were systematically investigated, and the main components and their target genes in the treatment of depression were predicted.

methodsThe metabolites of the kernels and peels were analyzed with a UPLC-MS/MS system. Mass spectrometry outcomes were annotated by MULTIAQUANT. "Compound-disease targets" were utilized to construct a pharmacology network.

resultsA total of 873 metabolites were identified, with a high abundance of flavonoids, alkaloids, and phenols. Moreover, the abundance of flavonoids, alkaloids, and phenols in the kernel was significantly higher than that in the peel. A high abundance of catechin, arginine, and phenylalanine was detected in the kernel, while a high abundance of arginine, arecoline, and aminobutyric acid was detected in the peel. Catechins and cyanoside were the most abundant flavonoids in the kernel and peel, respectively. Arecoline was the most abundant alkaloid. A total of 111 metabolites showed a significant difference between the kernels and peels. The relative abundance of 40 differential metabolites was higher than 100,000, including 14 primary metabolites, 12 flavonoids, 4 phenols, and 4 alkaloids. Among the 40 high abundance metabolites, 20 were higher in the kernel and 20 in the peel. In addition, the enrichment of metabolic pathways found that the kernel and peel of the fruit adopted different metabolic pathways for the synthesis of flavonoids and alkaloids. Network pharmacology prediction showed that 93 metabolites could target 141 depression-related genes. The main components of betel nut intervention in depression were predicted to include L-phenylalanine, protocatechuic acid, okanin, nicotinic acid, L-tyrosine, benzocaine, syringic acid, benzocaine, phloretic acid, cynaroside, and 3,4-dihydroxybenzaldehyde.

conclusionBetel nuts are rich in natural metabolites, and some of these metabolites can participate in the intervention of depression. In addition, the metabolites showed distinct characteristics between the kernel and peel. Therefore, it is necessary to comprehensively and rationally use betel nuts.

Indexed as

AlkaloidsAntidepressive AgentsArecaChromatography, High Pressure LiquidComputational BiologyDepressionFlavonoidsHumansMetabolomicsNetwork PharmacologyPhenolsTandem Mass SpectrometryAlkaloidsAntidepressive AgentsFlavonoidsPhenolsalkaloidsbetel nutflavonoidmetabolitesphenols

Identifiers

PMID34880597
PMCPMC8645950
OpenAlexW3215194373

What OpenQuestion holds

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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.