Literature DB >> 31348478

Gut microbiota might be a crucial factor in deciphering the metabolic benefits of perinatal genistein consumption in dams and adult female offspring.

Liyuan Zhou1, Xinhua Xiao, Qian Zhang, Jia Zheng, Ming Li, Xiaojing Wang, Mingqun Deng, Xiao Zhai, Jieying Liu.   

Abstract

Adverse early-life exposures program an increased risk of chronic metabolic diseases in adulthood. However, the effects of genistein consumption in early life on metabolic health are unclear. Our objective was to investigate whether perinatal genistein intake could mitigate the deleterious effects of a high-fat diet (HF) on metabolism in dams and female offspring and to explore the role of the gut microbiota in mediating the transgenerational effects. C57BL/6 female mice were fed a HF, HF with genistein (0.6 g kg-1 diet) or normal control diet for 3 weeks before mating and throughout pregnancy and lactation. The offspring had free access to normal diet from weaning to 24 weeks of age. A glucose tolerance test was performed and the levels of serum insulin and lipid were measured. The cecal contents were collected for 16s rDNA sequencing. The results showed that perinatal genistein intake could not only significantly reduce blood glucose levels, insulin and free fatty acids (FFA) in dams, but also improve glucose tolerance, insulin sensitivity and serum lipid profiles in adult female offspring. Significant enrichment of short-chain fatty acid (mainly butyrate)-producing bacteria might play crucial roles in deciphering the metabolic benefits of perinatal genistein intake in dams. The obvious decrease in harmful microorganisms and increase in Erysipelotrichaceae_incertae_sedis were associated with the protective effects of maternal genistein intake on female offspring. In addition, Bifidobacterium might be an important factor for deciphering the metabolic improvement in both dams and female offspring by dietary genistein. Overall, perinatal genistein intake attenuated the harmful effects of HF on metabolism in both dams and female offspring, and the protective effects were associated with the alterations in the gut microbiota, which provides new evidence and targets for mitigating the poor effects of adverse early-life exposures on metabolic health in later life.

Entities:  

Year:  2019        PMID: 31348478     DOI: 10.1039/c9fo01046g

Source DB:  PubMed          Journal:  Food Funct        ISSN: 2042-6496            Impact factor:   5.396


  11 in total

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2.  Study on the Effect of Huanglian Jiedu Decoction on the Composition of Gut Microflora in SD Rats Based on 16S rRNA Sequencing.

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4.  Murine Gut Microbiome Meta-analysis Reveals Alterations in Carbohydrate Metabolism in Response to Aging.

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5.  Maternal Dietary Betaine Prevents High-Fat Diet-Induced Metabolic Disorders and Gut Microbiota Alterations in Mouse Dams and Offspring From Young to Adult.

Authors:  Jieying Liu; Lu Ding; Xiao Zhai; Dongmei Wang; Cheng Xiao; Xiangyi Hui; Tianshu Sun; Miao Yu; Qian Zhang; Ming Li; Xinhua Xiao
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Journal:  Anim Nutr       Date:  2021-12-29

7.  Intraamniotic Administration (Gallus gallus) of Genistein Alters Mineral Transport, Intestinal Morphology, and Gut Microbiota.

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Journal:  Nutrients       Date:  2022-08-24       Impact factor: 6.706

8.  Ferulic acid attenuates high-fat diet-induced hypercholesterolemia by activating classic bile acid synthesis pathway.

Authors:  Zhixin Luo; Mengqian Li; Jiachuan Yang; Jia Li; Yao Zhang; Fang Liu; Emad El-Omar; Lin Han; Ji Bian; Lan Gong; Min Wang
Journal:  Front Nutr       Date:  2022-09-21

9.  Effects of Protein Restriction and Subsequent Realimentation on Body Composition, Gut Microbiota and Metabolite Profiles in Weaned Piglets.

Authors:  Lei Hou; Li Wang; Yueqin Qiu; YunXia Xiong; Hao Xiao; Hongbo Yi; Xiaolu Wen; Zeling Lin; Zhikang Wang; Xuefen Yang; Zongyong Jiang
Journal:  Animals (Basel)       Date:  2021-03-04       Impact factor: 2.752

10.  16S rRNA gene amplicon sequencing of gut microbiota in gestational diabetes mellitus and their correlation with disease risk factors.

Authors:  J Wei; Y Qing; H Zhou; J Liu; C Qi; J Gao
Journal:  J Endocrinol Invest       Date:  2021-07-24       Impact factor: 4.256

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