Evidence map›Paper›PMID 33187155›Full record

ArticleNutrients2020

Hypoglycemic Effect of Prolamin from Cooked Foxtail Millet (

Yongxia Fu, Ruiyang Yin, Zhenyu Liu, Yan Niu, Erhu Guo, Ruhong Cheng, Xianmin Diao, Yong Xue, Qun Shen

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 47 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Yongxia FuKey Laboratory of Plant Protein and Grain Processing, National Engineering Research Center for Fruits and Vegetables Processing, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Ruiyang YinKey Laboratory of Plant Protein and Grain Processing, National Engineering Research Center for Fruits and Vegetables Processing, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Zhenyu LiuKey Laboratory of Plant Protein and Grain Processing, National Engineering Research Center for Fruits and Vegetables Processing, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Yan NiuShan Xi Dongfang Wuhua Agricultural Technology Co. Ltd., Datong 037000, China.
Erhu GuoResearch Institute of Millet, Shanxi Academy of Agricultural Sciences, Taiyuan 030031, China.
Ruhong ChengResearch Institute of Millet, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050035, China.
Xianmin DiaoInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Yong XueKey Laboratory of Plant Protein and Grain Processing, National Engineering Research Center for Fruits and Vegetables Processing, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Qun ShenKey Laboratory of Plant Protein and Grain Processing, National Engineering Research Center for Fruits and Vegetables Processing, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-2154-6104
China Agricultural University · CNChinese Academy of Agricultural Sciences · CNHebei Academy of Agriculture and Forestry Sciences · CNShanxi Academy of Agricultural Sciences · CN

Funding

China Agriculture Research System CARS-06-13.5National Key Research and Development Program of China 2017YFD0401202
6 · The paper itself

Abstract

Millet proteins have been demonstrated to possess glucose-lowering and lipid metabolic disorder modulation functions against diabetes; however, the molecular mechanisms underlying their anti-diabetic effects remain unclear. The present study aimed to investigate the hypoglycemic effect of prolamin from cooked foxtail millet (PCFM) on type 2 diabetic mice, and explore the gut microbiota and serum metabolic profile changes that are associated with diabetes attenuation by PCFM. Our diabetes model was established using a high-fat diet combined with streptozotocin before PCFM or saline was daily administrated by gavage for 5 weeks. The results showed that PCFM ameliorated glucose metabolism disorders associated with type 2 diabetes. Furthermore, the effects of PCFM administration on gut microbiota and serum metabolome were investigated. 16S rRNA gene sequencing analysis indicated that PCFM alleviated diabetes-related gut microbiota dysbiosis in mice. Additionally, the serum metabolomics analysis revealed that the metabolite levels disturbed by diabetes were partly altered by PCFM. Notably, the decreased D-Glucose level caused by PCFM suggested that its anti-diabetic potential can be associated with the activation of glycolysis and the inhibition of gluconeogenesis, starch and sucrose metabolism and galactose metabolism. In addition, the increased serotonin level caused by PCFM may stimulate insulin secretion by pancreatic β-cells, which contributed to its hypoglycemic effect. Taken together, our research demonstrated that the modulation of gut microbiota composition and the serum metabolomics profile was associated with the anti-diabetic effect of PCFM.

Indexed as

AnimalsBlood GlucoseCookingDiabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2Diet, High-FatDysbiosisGastrointestinal MicrobiomeHypoglycemic AgentsMaleMetabolomicsMiceMice, Inbred C57BLPlant ExtractsProlaminsRNA, Ribosomal, 16SBlood GlucoseHypoglycemic AgentsPlant ExtractsProlaminsRNA, Ribosomal, 16SStreptozocinfoxtail milletgut microbiotametabolomicsprolamintype 2 diabetes

Identifiers

PMID33187155
PMCPMC7696583
OpenAlexW3102883667

What OpenQuestion holds

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LicenceCC BY
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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.