Evidence map›Paper›PMID 35702766›Full record

ArticleCombinatorial chemistry & high throughput screening2023

Analysis of Pharmacological Activities and Mechanisms of Essential Oil in Leaves of

Jie-Shu You, Sheng-Cai He, Liang Chen, Zhen-Hui Guo, Fei Gao, Min-Yue Zhang, Liu Dan, Wei Chen

Abstract read
In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Jie-Shu YouSchool of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Sheng-Cai HeSchool of Physical Education and Health, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Liang ChenSchool of Physical Education and Health, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Zhen-Hui GuoSchool of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Fei GaoCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Min-Yue ZhangDivision of Hematology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Liu DanGalactophore Department, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong Province, China.
Wei ChenSchool of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCitrus grandis 'Tomentosa,' a fruit epicarp of

methodsEssential oil compositions from leaves of

resultsFinally, 61 essential oil chemical components were identified by GC-MS/MS, which correspond to 679 potential targets. Biological function analysis showed 12, 19, and 12 GO entries related to biological processes, cell components and molecular functions, respectively. 43 KEGG pathways were identified, of which the most significant categories were terpenoid backbone biosynthesis, TNF signaling pathway and leishmaniasis. The component-target-disease network diagram revealed that the essential oil compositions in leaves of

conclusionThis study may provide new insight into

Indexed as

Drugs, Chinese HerbalOils, VolatileGas Chromatography-Mass SpectrometryMolecular Docking SimulationNetwork PharmacologyPlant LeavesTandem Mass SpectrometryDrugs, Chinese HerbalOils, Volatilecomponent-target-disease’ essential oilsGC-MS/MSLeaves of C. grandis ‘Tomentosanetwork pharmacologytomentosa

Identifiers

PMID35702766
PMCPMC10245803

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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.