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      Gut microbiome-related effects of berberine and probiotics on type 2 diabetes (the PREMOTE study)

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          Abstract

          Human gut microbiome is a promising target for managing type 2 diabetes (T2D). Measures altering gut microbiota like oral intake of probiotics or berberine (BBR), a bacteriostatic agent, merit metabolic homoeostasis. We hence conducted a randomized, double-blind, placebo-controlled trial with newly diagnosed T2D patients from 20 centres in China. Four-hundred-nine eligible participants were enroled, randomly assigned (1:1:1:1) and completed a 12-week treatment of either BBR-alone, probiotics+BBR, probiotics-alone, or placebo, after a one-week run-in of gentamycin pretreatment. The changes in glycated haemoglobin, as the primary outcome, in the probiotics+BBR (least-squares mean [95% CI], −1.04[−1.19, −0.89]%) and BBR-alone group (−0.99[−1.16, −0.83]%) were significantly greater than that in the placebo and probiotics-alone groups (−0.59[−0.75, −0.44]%, −0.53[−0.68, −0.37]%, P < 0.001). BBR treatment induced more gastrointestinal side effects. Further metagenomics and metabolomic studies found that the hypoglycaemic effect of BBR is mediated by the inhibition of DCA biotransformation by Ruminococcus bromii. Therefore, our study reports a human microbial related mechanism underlying the antidiabetic effect of BBR on T2D. (Clinicaltrial.gov Identifier: NCT02861261).

          Abstract

          The gut microbiome affects systemic metabolism and is a therapeutic target for type 2 diabetes. Here the authors demonstrate in a randomized controlled trial that effects of berberine, a plant alkaloid known to lower blood glucose, may be explained by the inhibition of Ruminococcus bromii mediated biotransformation of the bile acid deoxycholic acid.

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          Most cited references40

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          Inflammaging: a new immune–metabolic viewpoint for age-related diseases

          Ageing and age-related diseases share some basic mechanistic pillars that largely converge on inflammation. During ageing, chronic, sterile, low-grade inflammation - called inflammaging - develops, which contributes to the pathogenesis of age-related diseases. From an evolutionary perspective, a variety of stimuli sustain inflammaging, including pathogens (non-self), endogenous cell debris and misplaced molecules (self) and nutrients and gut microbiota (quasi-self). A limited number of receptors, whose degeneracy allows them to recognize many signals and to activate the innate immune responses, sense these stimuli. In this situation, metaflammation (the metabolic inflammation accompanying metabolic diseases) is thought to be the form of chronic inflammation that is driven by nutrient excess or overnutrition; metaflammation is characterized by the same mechanisms underpinning inflammaging. The gut microbiota has a central role in both metaflammation and inflammaging owing to its ability to release inflammatory products, contribute to circadian rhythms and crosstalk with other organs and systems. We argue that chronic diseases are not only the result of ageing and inflammaging; these diseases also accelerate the ageing process and can be considered a manifestation of accelerated ageing. Finally, we propose the use of new biomarkers (DNA methylation, glycomics, metabolomics and lipidomics) that are capable of assessing biological versus chronological age in metabolic diseases.
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            Dynamics and Stabilization of the Human Gut Microbiome during the First Year of Life.

            The gut microbiota is central to human health, but its establishment in early life has not been quantitatively and functionally examined. Applying metagenomic analysis on fecal samples from a large cohort of Swedish infants and their mothers, we characterized the gut microbiome during the first year of life and assessed the impact of mode of delivery and feeding on its establishment. In contrast to vaginally delivered infants, the gut microbiota of infants delivered by C-section showed significantly less resemblance to their mothers. Nutrition had a major impact on early microbiota composition and function, with cessation of breast-feeding, rather than introduction of solid food, being required for maturation into an adult-like microbiota. Microbiota composition and ecological network had distinctive features at each sampled stage, in accordance with functional maturation of the microbiome. Our findings establish a framework for understanding the interplay between the gut microbiome and the human body in early life.
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              Bile salt biotransformations by human intestinal bacteria.

              Secondary bile acids, produced solely by intestinal bacteria, can accumulate to high levels in the enterohepatic circulation of some individuals and may contribute to the pathogenesis of colon cancer, gallstones, and other gastrointestinal (GI) diseases. Bile salt hydrolysis and hydroxy group dehydrogenation reactions are carried out by a broad spectrum of intestinal anaerobic bacteria, whereas bile acid 7-dehydroxylation appears restricted to a limited number of intestinal anaerobes representing a small fraction of the total colonic flora. Microbial enzymes modifying bile salts differ between species with respect to pH optima, enzyme kinetics, substrate specificity, cellular location, and possibly physiological function. Crystallization, site-directed mutagenesis, and comparisons of protein secondary structure have provided insight into the mechanisms of several bile acid-biotransforming enzymatic reactions. Molecular cloning of genes encoding bile salt-modifying enzymes has facilitated the understanding of the genetic organization of these pathways and is a means of developing probes for the detection of bile salt-modifying bacteria. The potential exists for altering the bile acid pool by targeting key enzymes in the 7alpha/beta-dehydroxylation pathway through the development of pharmaceuticals or sequestering bile acids biologically in probiotic bacteria, which may result in their effective removal from the host after excretion.
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                Author and article information

                Contributors
                lijunhua@genomics.cn
                wqingw61@163.com
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                6 October 2020
                6 October 2020
                2020
                : 11
                : 5015
                Affiliations
                [1 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, National Clinical Research Centre for Metabolic Diseases, , Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, ; Shanghai, 200025 China
                [2 ]GRID grid.21155.32, ISNI 0000 0001 2034 1839, BGI-Shenzhen, ; Shenzhen, 518083 China
                [3 ]GRID grid.9227.e, ISNI 0000000119573309, Dalian Institute of Chemical Physics, , Chinese Academy of Science, ; Dalian, Liaoning Province China
                [4 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Ren Ji Hospital, , Shanghai Jiao Tong University School of Medicine, ; Shanghai, China
                [5 ]GRID grid.414906.e, ISNI 0000 0004 1808 0918, The First Affiliated hospital of Wenzhou Medical University, ; Zhejiang Province, China
                [6 ]GRID grid.284723.8, ISNI 0000 0000 8877 7471, Nanfang Hospital, , Southern Medical University, ; Guangdong Province, China
                [7 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Tong Ren Hospital, , Shanghai Jiao Tong University School of Medicine, ; Shanghai, China
                [8 ]Central Hospital of Minhang District, Shanghai, China
                [9 ]GRID grid.452402.5, Qilu Hospital of Shandong University, ; Shandong Province, China
                [10 ]GRID grid.415108.9, ISNI 0000 0004 1757 9178, Fujian Provincial Hospital, ; Fujian Province, China
                [11 ]GRID grid.412538.9, ISNI 0000 0004 0527 0050, Shanghai Tenth People’s Hospital of Tong Ji University, ; Shanghai, China
                [12 ]GRID grid.452207.6, ISNI 0000 0004 1758 0558, Xuzhou Central Hospital, ; Jiangsu Province, China
                [13 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Xin Hua Hospital, , Shanghai Jiao Tong University School of Medicine, ; Shanghai, China
                [14 ]GRID grid.73113.37, ISNI 0000 0004 0369 1660, Chang Hai Hospital, , Second Military Medical University, ; Shanghai, China
                [15 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Shanghai First People’s Hospital, , Shanghai Jiao Tong University School of Medicine, ; Shanghai, China
                [16 ]James D. Watson Institute of Genome Sciences, Hangzhou, Zhejiang Province China
                [17 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Johns Hopkins University School of Medicine, ; Baltimore, Maryland USA
                [18 ]GRID grid.79703.3a, ISNI 0000 0004 1764 3838, School of Biology and Biological Engineering, , South China University of Technology, ; Guangzhou, Guangdong Province China
                Author information
                http://orcid.org/0000-0003-0272-0602
                http://orcid.org/0000-0001-8838-4771
                http://orcid.org/0000-0001-9512-1750
                http://orcid.org/0000-0003-0342-9593
                http://orcid.org/0000-0001-6784-1873
                Article
                18414
                10.1038/s41467-020-18414-8
                7538905
                33024120
                e2d46b11-a9ea-41ef-9929-78c88c026a58
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 June 2019
                : 18 August 2020
                Funding
                Funded by: the National Key R&D Program of China (2016YFC0901200); the Fund of the Shanghai Science and Technology Committee (No.16431900501)
                Funded by: the Fund of the Prevention and control of major chronic non-communicable diseases research of China (2018YFC1313804);National Nature Science Foundation of China 81870555
                Funded by: National Nature Science Foundation of China 81930021
                Funded by: National Nature Science Foundation of China 91857205
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                © The Author(s) 2020

                Uncategorized
                metagenomics,type 2 diabetes
                Uncategorized
                metagenomics, type 2 diabetes

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