Evidence mapPaperPMID 38928840Full record

ArticleFoods (Basel, Switzerland)2024

Comparative Metabolic Profiling of Different Colored Rice Grains Reveals the Distribution of Major Active Compounds and Key Secondary Metabolites in Green Rice.

Mingchao Zhao, Linan Zhai, Qingjie Tang, Junfang Ren, Shizhen Zhou, Huijian Wang, Yong Yun, Qingwen Yang, Xiaowei Yan, Funeng Xing and 1 more

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. 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

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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Harnessing neo-domestication of wild pigmented rice for enhanced nutrition and sustainable agriculture.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  7. Review
  8. 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

11 authors.

Mingchao ZhaoSanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572000, China.ORCID 0009-0008-8213-8009
Linan ZhaiCereal Crops Institute, Hainan Academy of Agricultural Sciences, Haikou 571100, China.
Qingjie TangSanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572000, China.
Junfang RenSanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572000, China.
Shizhen ZhouCereal Crops Institute, Hainan Academy of Agricultural Sciences, Haikou 571100, China.
Huijian WangCereal Crops Institute, Hainan Academy of Agricultural Sciences, Haikou 571100, China.
Yong YunSanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572000, China.
Qingwen YangNational Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China.
Xiaowei YanSanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572000, China.
Funeng XingSanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572000, China.
Weihua QiaoNational Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China.ORCID 0000-0001-9876-3054

Funding

China Key R&D Program Project No. 2021YFD1200102-01Project of Sanya Yazhou Bay Science and Technology City No. SCKJ-JYRC-2023-31Seed Laboratory of Yazhou Bay, Hainan Province No. B22C11204starting fund for high-scientific study of genius in Hainan Academy of Agricultural Sciences No. HAAS2023RCQD17
6 · The paper itself

Abstract

Pigmented rice grains are important resources for health and nutritional perspectives. Thus, a thorough dissection of the variation of nutrients and bioactive metabolites in different colored rice is of global interest. This study applied LC-MS-based widely targeted metabolite profiling and unraveled the variability of metabolites and nutraceuticals in long grain/non-glutinous black (BR), red (RR), green (GR), and white rice (WR) grains. We identified and classified 1292 metabolites, including five flavonoid compounds specific to BR. The metabolite profiles of the four rice grains showed significant variation, with 275-543 differentially accumulated metabolites identified. Flavonoid (flavone, flavonol, and anthocyanin) and cofactor biosynthesis were the most differentially regulated pathways among the four rice types. Most bioactive flavonoids, anthocyanidins (glycosylated cyanidins and peonidins), phenolic acids, and lignans had the highest relative content in BR, followed by RR. Most alkaloids, amino acids and derivatives, lipids, and vitamins (B6, B3, B1, nicotinamide, and isonicotinic acid) had higher relative contents in GR than others. Procyanidins (B1, B2, and B3) had the highest relative content in RR. In addition, we identified 25 potential discriminatory biomarkers, including fagomine, which could be used to authenticate GR. Our results show that BR and RR are important materials for medicinal use, while GR is an excellent source of nutrients (amino acids and vitamins) and bioactive alkaloids. Moreover, they provide data resources for the science-based use of different colored rice varieties in diverse industries.

Indexed as

bioactive compoundsLC–MSmetabolomicspigmented ricevitamin

Identifiers

PMID38928840
PMCPMC11202634

What Socratic 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 Socratic graph.