Evidence map›Paper›PMID 34079016›Full record

ArticleScientific reports2021

Metabolomics analysis of the soapberry (Sapindus mukorossi Gaertn.) pericarp during fruit development and ripening based on UHPLC-HRMS.

Yuanyuan Xu, Yuan Gao, Zhong Chen, Guochun Zhao, Jiming Liu, Xin Wang, Shilun Gao, Duanguang Zhang, Liming Jia

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  7. Impact of Socioeconomic Environment on Home Social Care Service Demand and Dependent Users.International journal of environmental research and public health · 2022
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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

9 authors.

Yuanyuan Xu *Key Laboratory of Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, 35 E Qinghua Road, Beijing, 100083, China.
Yuan Gao *Planning and Design Institute of Forest Products Industry, National Forestry and Grassland Administration, Beijing, 100010, China.
Zhong ChenKey Laboratory of Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, 35 E Qinghua Road, Beijing, 100083, China.
Guochun ZhaoKey Laboratory of Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, 35 E Qinghua Road, Beijing, 100083, China.
Jiming LiuKey Laboratory of Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, 35 E Qinghua Road, Beijing, 100083, China.
Xin WangKey Laboratory of Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, 35 E Qinghua Road, Beijing, 100083, China.
Shilun GaoKey Laboratory of Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, 35 E Qinghua Road, Beijing, 100083, China.
Duanguang ZhangYuanhua Forestry Biological Technology Co., Ltd., Sanming, 650216, Fujian, China.
Liming JiaKey Laboratory of Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, 35 E Qinghua Road, Beijing, 100083, China. jlm@bjfu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soapberry (Sapindus mukorossi Gaertn.) is a multi-functional tree with widespread application in toiletries, biomedicine, biomass energy, and landscaping. The pericarp of soapberry can be used as a medicine or detergent. However, there is currently no systematic study on the chemical constituents of soapberry pericarp during fruit development and ripening, and the dynamic changes in these constituents still unclear. In this study, a non-targeted metabolomics approach using ultra-high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS) was used to comprehensively profile the variations in metabolites in the soapberry pericarp at eight fruit growth stages. The metabolome coverage of UHPLC-HRMS on a HILIC column was higher than that of a C18 column. A total of 111 metabolites were putatively annotated. Principal component analysis and hierarchical clustering analysis of pericarp metabolic composition revealed clear metabolic shifts from early (S1-S2) to late (S3-S5) development stages to fruit ripening stages (S6-S8). Furthermore, pairwise comparison identified 57 differential metabolites that were involved in 18 KEGG pathways. Early fruit development stages (S1-S2) were characterized by high levels of key fatty acids, nucleotides, organic acids, and phosphorylated intermediates, whereas fruit ripening stages (S6-S8) were characterized by high contents of bioactive and valuable metabolites, such as troxipide, vorinostat, furamizole, alpha-tocopherol quinone, luteolin, and sucrose. S8 (fully developed and mature stage) was the most suitable stage for fruit harvesting to utilize the pericarp. To the best of our knowledge, this was the first metabolomics study of the soapberry pericarp during whole fruit growth. The results could offer valuable information for harvesting, processing, and application of soapberry pericarp, as well as highlight the metabolites that could mediate the biological activity or properties of this medicinal plant.

Indexed as

MetabolomeCarboxylic AcidsChromatography, High Pressure LiquidFatty AcidsFlavonesFruitMetabolic Networks and PathwaysMetabolomicsNucleotidesPrincipal Component AnalysisQuinonesSapindusSaponinsCarboxylic AcidsFatty AcidsFlavonesNucleotidesQuinonesSaponins

Identifiers

PMID34079016
PMCPMC8172880

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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.