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Xiexin Tang Improves the Symptom of Type 2 Diabetic Rats by Modulation of the Gut Microbiota
www.nature.com/scientificreports OPEN Xiexin Tang improves the symptom of type 2 diabetic rats by modulation of the gut microbiota Received: 30 August 2017 Xiaoyan Wei, Jinhua Tao , Suwei Xiao, Shu Jiang, Erxin Shang, Zhenhua Zhu, Dawei Qian Accepted: 13 February 2018 & Jinao Duan Published: xx xx xxxx Type 2 diabetes mellitus (T2DM), a chronic metabolic disease which severely impairs peoples’ quality of life, currently attracted worldwide concerns. There are growing evidences that gut microbiota can exert a great impact on the development of T2DM. Xiexin Tang (XXT), a traditional Chinese medicine prescription, has been clinically used to treat diabetes for thousands of years. However, few researches are investigated on the modulation of gut microbiota community by XXT which will be very helpful to unravel how it works. In this study, bacterial communities were analyzed based on high-throughput 16S rRNA gene sequencing. Results indicated that XXT could notably shape the gut microbiota. T2DM rats treated with XXT exhibited obvious changes in the composition of the gut microbiota, especially for some short chain fatty acids producing and anti-infammatory bacteria such as Adlercreutzia, Alloprevotella, Barnesiella, [Eubacterium] Ventriosum group, Blautia, Lachnospiraceae UCG-001, Papillibacter and Prevotellaceae NK3B31 group. Additionally, XXT could also signifcantly ameliorate hyperglycemia, lipid metabolism dysfunction and infammation in T2DM rats. Moreover, the correlation analysis illustrated that the key microbiota had a close relationship with the T2DM related indexes. The results probably provided useful information for further investigation on its active mechanism and clinical application. T2DM, a chronic metabolic disease characterized by hyperglycemia as a result of insufcient insulin secretion, insulin action or both1, is estimated that its numbers in the adults will increase by 55% by 20352. -
WO 2018/064165 A2 (.Pdf)
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2018/064165 A2 05 April 2018 (05.04.2018) W !P O PCT (51) International Patent Classification: Published: A61K 35/74 (20 15.0 1) C12N 1/21 (2006 .01) — without international search report and to be republished (21) International Application Number: upon receipt of that report (Rule 48.2(g)) PCT/US2017/053717 — with sequence listing part of description (Rule 5.2(a)) (22) International Filing Date: 27 September 2017 (27.09.2017) (25) Filing Language: English (26) Publication Langi English (30) Priority Data: 62/400,372 27 September 2016 (27.09.2016) US 62/508,885 19 May 2017 (19.05.2017) US 62/557,566 12 September 2017 (12.09.2017) US (71) Applicant: BOARD OF REGENTS, THE UNIVERSI¬ TY OF TEXAS SYSTEM [US/US]; 210 West 7th St., Austin, TX 78701 (US). (72) Inventors: WARGO, Jennifer; 1814 Bissonnet St., Hous ton, TX 77005 (US). GOPALAKRISHNAN, Vanch- eswaran; 7900 Cambridge, Apt. 10-lb, Houston, TX 77054 (US). (74) Agent: BYRD, Marshall, P.; Parker Highlander PLLC, 1120 S. Capital Of Texas Highway, Bldg. One, Suite 200, Austin, TX 78746 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
Longitudinal Characterization of the Gut Bacterial and Fungal Communities in Yaks
Journal of Fungi Article Longitudinal Characterization of the Gut Bacterial and Fungal Communities in Yaks Yaping Wang 1,2,3, Yuhang Fu 3, Yuanyuan He 3, Muhammad Fakhar-e-Alam Kulyar 3 , Mudassar Iqbal 3,4, Kun Li 1,2,* and Jiaguo Liu 1,2,* 1 Institute of Traditional Chinese Veterinary Medicine, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China; [email protected] 2 MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China 3 College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; [email protected] (Y.F.); [email protected] (Y.H.); [email protected] (M.F.-e.-A.K.); [email protected] (M.I.) 4 Faculty of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan * Correspondence: [email protected] (K.L.); [email protected] (J.L.) Abstract: Development phases are important in maturing immune systems, intestinal functions, and metabolism for the construction, structure, and diversity of microbiome in the intestine during the entire life. Characterizing the gut microbiota colonization and succession based on age-dependent effects might be crucial if a microbiota-based therapeutic or disease prevention strategy is adopted. The purpose of this study was to reveal the dynamic distribution of intestinal bacterial and fungal communities across all development stages in yaks. Dynamic changes (a substantial difference) in the structure and composition ratio of the microbial community were observed in yaks that Citation: Wang, Y.; Fu, Y.; He, Y.; matched the natural aging process from juvenile to natural aging. -
Modulation of Gut Microbiota by Glucosamine and Chondroitin in a Randomized, Double-Blind Pilot Trial in Humans
microorganisms Article Modulation of Gut Microbiota by Glucosamine and Chondroitin in a Randomized, Double-Blind Pilot Trial in Humans Sandi L. Navarro 1,* , Lisa Levy 1, Keith R. Curtis 1, Johanna W. Lampe 1,2 and Meredith A.J. Hullar 1 1 Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; [email protected] (L.L.); [email protected] (K.R.C.); [email protected] (J.W.L.); [email protected] (M.A.J.H.) 2 Department of Epidemiology, University of Washington, Seattle, WA 98195, USA * Correspondence: [email protected]; Tel.: +1-206-667-6583 Received: 31 October 2019; Accepted: 22 November 2019; Published: 23 November 2019 Abstract: Glucosamine and chondroitin (G&C), typically taken for joint pain, are among the most frequently used specialty supplements by US adults. More recently, G&C have been associated with lower incidence of colorectal cancer in human observational studies and reduced severity of experimentally-induced ulcerative colitis in rodents. However, little is known about their effects on colon-related physiology. G&C are poorly absorbed and therefore metabolized by gut microbiota. G&C have been associated with changes in microbial structure, which may alter host response. We conducted a randomized, double-blind, placebo-controlled crossover trial in ten healthy adults to evaluate the effects of a common dose of G&C compared to placebo for 14 days on gut microbial community structure, measured by 16S rRNA gene sequencing. Linear mixed models were used to evaluate the effect of G&C compared to placebo on fecal microbial alpha and beta diversity, seven phyla, and 137 genera. -
Predictions and Computational Analysis of Novel Chromosomal Type II Toxin Antitoxin Systems in the Human Oral Microbiome
American University in Cairo AUC Knowledge Fountain Theses and Dissertations 6-1-2019 Predictions and Computational Analysis of Novel Chromosomal Type II Toxin Antitoxin Systems in the Human Oral Microbiome Ashraf Abd-el-Raouf Bazan Follow this and additional works at: https://fount.aucegypt.edu/etds Recommended Citation APA Citation Bazan, A. (2019).Predictions and Computational Analysis of Novel Chromosomal Type II Toxin Antitoxin Systems in the Human Oral Microbiome [Master’s thesis, the American University in Cairo]. AUC Knowledge Fountain. https://fount.aucegypt.edu/etds/770 MLA Citation Bazan, Ashraf Abd-el-Raouf. Predictions and Computational Analysis of Novel Chromosomal Type II Toxin Antitoxin Systems in the Human Oral Microbiome. 2019. American University in Cairo, Master's thesis. AUC Knowledge Fountain. https://fount.aucegypt.edu/etds/770 This Thesis is brought to you for free and open access by AUC Knowledge Fountain. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of AUC Knowledge Fountain. For more information, please contact [email protected]. School of Science and Engineering PREDICTION AND COMPUTATIONAL ANALYSIS OF NOVEL CHROMOSOMAL TYPE II TOXIN ANTITOXIN SYSTEMS IN THE HUMAN ORAL MICROBIOME A Thesis Submitted to The Biotechnology Master’s Program In partial fulfillment of the requirements for the degree of Master of Science in Biotechnology By Ashraf A. Bazan BSc in Pharmaceutical Sciences and Drug Design Faculty of Pharmacy, Ain Shams University Under the supervision of Dr. Ahmed Abdellatif, MD, PhD Assistant Professor Biology Department American University in Cairo Dr. Tamer Salem, PhD Dr. Heba Abostate, MD, PhD Professor of Molecular and Cell Biology Assistant Professor of Microbiology Biomedical Science Program, Microbiology and Immunology Department University of Science and Technology at Faculty of Pharmacy Zewail City Egyptian Russian University May/2019 THESIS DEFENSE Student Full Name: ___ Ashraf A. -
Characterizing the Cattle Gut Microbiome in Farms with a High and Low Prevalence of Shiga Toxin-Producing Escherichia Coli
microorganisms Article Characterizing the Cattle Gut Microbiome in Farms with a High and Low Prevalence of Shiga Toxin Producing Escherichia coli Karla Vasco 1 , Brian Nohomovich 1, Pallavi Singh 1,† , Cristina Venegas-Vargas 2,‡, Rebekah E. Mosci 1, Steven Rust 3, Paul Bartlett 2, Bo Norby 2, Daniel Grooms 2,§, Lixin Zhang 1,4 and Shannon D. Manning 1,* 1 Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA; [email protected] (K.V.); [email protected] (B.N.); [email protected] (P.S.); [email protected] (R.E.M.); [email protected] (L.Z.) 2 Department of Large Animal Clinical Sciences, College Veterinary Medicine, Michigan State University, East Lansing, MI 48824, USA; [email protected] (C.V.-V.); [email protected] (P.B.); [email protected] (B.N.); [email protected] (D.G.) 3 Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA; [email protected] 4 Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA * Correspondence: [email protected] † Department of Biological Sciences, Northern Illinois University, DeKalb, IL 60115, USA. ‡ Zoetis Inc., Kalamazoo, MI 49007, USA. § College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA. Abstract: Cattle are the main reservoirs of Shiga toxin producing Escherichia coli (STEC), a major food- borne pathogen associated with acute enteric disease and hemolytic–uremic syndrome in humans. A Citation: Vasco, K.; Nohomovich, B.; total of 397 beef and dairy cattle from 5 farms were included in this study, of which 660 samples were Singh, P.; Venegas-Vargas, C.; Mosci, collected for 16S rRNA gene sequencing. -
Supplemental Material
Supplemental Material: Deep metagenomics examines the oral microbiome during dental caries, revealing novel taxa and co-occurrences with host molecules Authors: Baker, J.L.1,*, Morton, J.T.2., Dinis, M.3, Alverez, R.3, Tran, N.C.3, Knight, R.4,5,6,7, Edlund, A.1,5,* 1 Genomic Medicine Group J. Craig Venter Institute 4120 Capricorn Lane La Jolla, CA 92037 2Systems Biology Group Flatiron Institute 162 5th Avenue New York, NY 10010 3Section of Pediatric Dentistry UCLA School of Dentistry 10833 Le Conte Ave. Los Angeles, CA 90095-1668 4Center for Microbiome Innovation University of California at San Diego La Jolla, CA 92023 5Department of Pediatrics University of California at San Diego La Jolla, CA 92023 6Department of Computer Science and Engineering University of California at San Diego 9500 Gilman Drive La Jolla, CA 92093 7Department of Bioengineering University of California at San Diego 9500 Gilman Drive La Jolla, CA 92093 *Corresponding AutHors: JLB: [email protected], AE: [email protected] ORCIDs: JLB: 0000-0001-5378-322X, AE: 0000-0002-3394-4804 SUPPLEMENTAL METHODS Study Design. Subjects were included in tHe study if tHe subject was 3 years old or older, in good general HealtH according to a medical History and clinical judgment of tHe clinical investigator, and Had at least 12 teetH. Subjects were excluded from tHe study if tHey Had generalized rampant dental caries, cHronic systemic disease, or medical conditions tHat would influence tHe ability to participate in tHe proposed study (i.e., cancer treatment, HIV, rHeumatic conditions, History of oral candidiasis). Subjects were also excluded it tHey Had open sores or ulceration in tHe moutH, radiation tHerapy to tHe Head and neck region of tHe body, significantly reduced saliva production or Had been treated by anti-inflammatory or antibiotic tHerapy in tHe past 6 montHs. -
Genome-Based Taxonomic Classification Of
ORIGINAL RESEARCH published: 20 December 2016 doi: 10.3389/fmicb.2016.02003 Genome-Based Taxonomic Classification of Bacteroidetes Richard L. Hahnke 1 †, Jan P. Meier-Kolthoff 1 †, Marina García-López 1, Supratim Mukherjee 2, Marcel Huntemann 2, Natalia N. Ivanova 2, Tanja Woyke 2, Nikos C. Kyrpides 2, 3, Hans-Peter Klenk 4 and Markus Göker 1* 1 Department of Microorganisms, Leibniz Institute DSMZ–German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany, 2 Department of Energy Joint Genome Institute (DOE JGI), Walnut Creek, CA, USA, 3 Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia, 4 School of Biology, Newcastle University, Newcastle upon Tyne, UK The bacterial phylum Bacteroidetes, characterized by a distinct gliding motility, occurs in a broad variety of ecosystems, habitats, life styles, and physiologies. Accordingly, taxonomic classification of the phylum, based on a limited number of features, proved difficult and controversial in the past, for example, when decisions were based on unresolved phylogenetic trees of the 16S rRNA gene sequence. Here we use a large collection of type-strain genomes from Bacteroidetes and closely related phyla for Edited by: assessing their taxonomy based on the principles of phylogenetic classification and Martin G. Klotz, Queens College, City University of trees inferred from genome-scale data. No significant conflict between 16S rRNA gene New York, USA and whole-genome phylogenetic analysis is found, whereas many but not all of the Reviewed by: involved taxa are supported as monophyletic groups, particularly in the genome-scale Eddie Cytryn, trees. Phenotypic and phylogenomic features support the separation of Balneolaceae Agricultural Research Organization, Israel as new phylum Balneolaeota from Rhodothermaeota and of Saprospiraceae as new John Phillip Bowman, class Saprospiria from Chitinophagia. -
Multi-Omics Analysis Reveals the Impact of Microbiota on Host Metabolism in Hepatic Steatosis
medRxiv preprint doi: https://doi.org/10.1101/2021.05.22.21257482; this version posted May 23, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license . 1 Multi-omics analysis reveals the impact of microbiota on host metabolism in hepatic steatosis Mujdat Zeybel,1,2,3,# Muhammad Arif,4,# Xiangyu Li,4,# Ozlem Altay,4 Mengnan Shi,4 Murat Akyildiz,1 Burcin Saglam,1 Mehmet Gokhan Gonenli,1 Buket Yigit,1 Burge Ulukan,1 Dilek Ural,5 Saeed Shoaie,4,7 Hasan Turkez,8 Jens Nielsen,9 Cheng Zhang,4,6 Mathias Uhlén,4 Jan Borén,10,* Adil Mardinoglu4,7,* 1Department of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, Turkey 2NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust & University of Nottingham, Nottingham, UK 3Nottingham Digestive Diseases Centre, School of Medicine, University of Nottingham, Nottingham, UK 4Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden 5School of Medicine, Koç University, Istanbul, Turkey 6 Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan Province, 450001, China 7Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, United Kingdom 8Department of Medical Biology, Faculty -
The Natural Acquisition of the Oral Microbiome in Childhood: a Cross-Sectional Analysis
The Natural Acquisition of the Oral Microbiome in Childhood: A Cross-Sectional Analysis THESIS Presented in Partial Fulfillment of the Requirements for the Degree Master of Science in the Graduate School of The Ohio State University By Roma Gandhi, D.M.D, M.P.H. Graduate Program in Dentistry The Ohio State University 2016 Thesis Committee: Ann Griffen, Advisor Eugene Leys Erin Gross Copyrighted by Roma Gandhi 2016 Abstract This cross-sectional study explored the development of the oral microbiome throughout childhood. Our previous studies of infants up to 1 year of age have shown early presence of exogenous species not commonly found in the oral cavity followed by rapid replacement with a small, shared core set of oral bacterial species. Following this initial colonization, we hypothesize that the complexity of the microbial community will steadily increase with advancing age as the oral cavity develops more intricate environmental niches for bacterial growth, and as children are exposed to new strains of bacteria and novel foods. We sampled 116 children and adolescents ranging from age 1 to 14 years and collected salivary, supragingival and subgingival samples. Bacterial community composition was analyzed at the level of species using rRNA gene amplicon sequencing. This data allowed us to determine commonality among core species and the relationship of age to microbial complexity and community composition. Understanding when the establishment of bacterial communities will occur will help us determine if species are acquired in a specific order and will provide clues as to whether some species require the presence of others to colonize. Taken together, insight will be provided into the reconstruction of the natural acquisition of the human oral microbiome from birth through the establishment of the permanent dentition. -
VMB Safety Efficacy Supplement2 190619.Xlsx
List of taxa (alphabetical order) Bacterial Phylum/Class (Order) based on NCBI taxonomy Minority group browser taxon? Abiotrophia defectiva BV Firmicutes/Bacilli (Lactobacillales) Yes Actinobacillus genus Pathobionts Gammaproteobacteria (Pasteurellales) Yes Actinomyces family BV Actinobacteria/Actinobacteria (Actinomycetales) No Actinomyces genus BV Actinobacteria/Actinobacteria (Actinomycetales) Yes Actinomyces europaeus BV Actinobacteria/Actinobacteria (Actinomycetales) Yes Actinomyces funkei BV Actinobacteria/Actinobacteria (Actinomycetales) Yes Actinomyces neuii BV Actinobacteria/Actinobacteria (Actinomycetales) No Actinomyces odontolyticus BV Actinobacteria/Actinobacteria (Actinomycetales) Yes Actinomyces turicensis BV Actinobacteria/Actinobacteria (Actinomycetales) Yes Actinomyces urogenitalis BV Actinobacteria/Actinobacteria (Actinomycetales) Yes Aerococcus genus BV Firmicutes/Bacilli (Lactobacillales) No Aerococcus christensenii BV Firmicutes/Bacilli (Lactobacillales) No Aeromonas caviae/dhakensis/ Pathobionts Gammaproteobacteria (Aeromonadales) Yes enteropelogenes/hydrophila/janda ei/taiwanensis/veronii Alistipes finegoldii/onderdonkii BV Bacteroidetes/Bacteroidia (Bacteroidales) Yes Alloiococcus genus BV Firmicutes/Bacilli (Lactobacillales) Yes Alloprevotella genus BV Bacteroidetes/Bacteroidia (Bacteroidales) No Alloprevotella rava BV Bacteroidetes/Bacteroidia (Bacteroidales) No Alloscardovia omnicolens Other Actinobacteria/Actinobacteria (Bifidobacteriales) Yes bacteria Anaerococcus genus BV Firmicutes/Tissierellia (Tissierellales) -
Gut Microbiome Differences Between Wild and Captive Black Rhinoceros – Implications for Rhino Health Keylie M. Gibson1,2, Brya
Gut microbiome differences between wild and captive black rhinoceros – implications for rhino health Keylie M. Gibson1,2, Bryan N. Nguyen1,2, Laura M. Neumann3, Michele Miller4, Peter Buss5, Savel Daniels6, Michelle Ahn1,2, Keith A. Crandall1,7*, & Budhan Pukazhenthi8* 1 Computational Biology Institute, The Milken Institute School of Public Health, George Washington University, Washington, DC, USA 2 Department of Biological Sciences, George Washington University, Washington, DC, USA 3 Department of Environmental and Occupational Health, The Milken Institute School of Public Health, The George Washington University, Washington, DC, USA 4 DST-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. 5 South African National Parks, Veterinary Wildlife Services, Kruger National Park, Skukuza, South Africa 6 Department of Botany and Zoology, University of Stellenbosch, Private Bag X1, Matieland 7602, South Africa 7 Department of Epidemiology and Biostatistics, The Milken Institute School of Public Health, George Washington University, Washington, DC, USA 8 Smithsonian’s National Zoo and Conservation Biology Institute, Front Royal, VA, USA * Co-Senior Authors Corresponding author: Budhan Pukazhenthi Smithsonian Conservation Biology Institute 1500 Remount Road, Front Royal, VA 22630 [email protected] Supplemental table legends Table S1a. Core rhino microbiome species in wild rhinos. Table S1b. Core rhino microbiome species in captive rhinos. Table S2. Differentially gene ontology terms between wild and captive rhino samples. Table S3. Differentially abundant pathways between wild and captive rhino samples. Table S1a. Core rhino microbiome species in wild rhinos.