Evidence map›Paper›PMID 29762486›Full record

ArticleMolecules (Basel, Switzerland)2018

Identification of Nutritional Components in Black Sesame Determined by Widely Targeted Metabolomics and Traditional Chinese Medicines.

Dandan Wang, Liangxiao Zhang, Xiaorong Huang, Xiao Wang, Ruinan Yang, Jin Mao, Xuefang Wang, Xiupin Wang, Qi Zhang, Peiwu Li

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

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

56 citing papers in PubMed.

  1. Article
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  6. Volatile Flavoromics of FourInternational journal of molecular sciences · 2025
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  16. Efficacy and classification ofFrontiers in chemistry · 2024
    Article
  17. Review
  18. Metabolic Composition and Quality Traits ofInternational journal of molecular sciences · 2023
    Article
  19. Article
  20. Review
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

10 authors.

Dandan WangOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China. beyondan_good@163.com.
Liangxiao ZhangOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China. liangxiao_zhang@hotmail.com.ORCID 0000-0002-9916-2952
Xiaorong HuangOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China. xiaorongsara@163.com.
Xiao WangOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China. wangxiao0613@163.com.
Ruinan YangOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China. yanrinannan@126.com.
Jin MaoOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China. maojin106@whu.edu.cn.
Xuefang WangOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China. wxf0911@163.com.
Xiupin WangOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China. xiupinwang@163.com.
Qi ZhangOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China. zhangqi52x@126.com.
Peiwu LiOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China. peiwuli@oilcrops.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical composition of secondary metabolites is of great importance for quality control of agricultural products. Black sesame seeds are significantly more expensive than white sesame seeds, because it is thought that black sesame seeds are more beneficial to human health than white sesame seeds. However, the differences in nutrient composition between black sesame seeds and white sesame seeds are still unknown. The current study examined the levels of different metabolites in black and white sesame seeds via the use of a novel metabolomics strategy. Using widely targeted metabolomics data, we obtained the structure and content of 557 metabolites, out of which 217 metabolites were identified, and discovered 30 metabolic pathways activated by the secondary metabolites in both black and white sesame seeds. Our results demonstrated that the main pathways that were differentially activated included: phenylpropanoid biosynthesis, tyrosine metabolism, and riboflavin metabolism. More importantly, the biomarkers that were significantly different between black seeds and white sesame seeds are highly related to the functions recorded in traditional Chinese medicine. The results of this study may serve as a new theoretical reference for breeding experts to promote the genetic improvement of sesame seeds, and therefore the cultivation of higher quality sesame varieties.

Indexed as

MetabolomeMetabolomicsNutrition AssessmentChromatography, LiquidHumansMedicine, Chinese TraditionalSeedsSesamumTandem Mass Spectrometrydifferential metabolitesLC-MS/MSsesamespecific nutrientswidely targeted metabolomics

Identifiers

PMID29762486
PMCPMC6100530

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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.