Gut Microbiota and Host Reaction in Liver Diseases
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
WO 2015/066625 Al 7 May 2015 (07.05.2015) P O P C T
(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 2015/066625 Al 7 May 2015 (07.05.2015) P O P C T (51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every C12Q 1/04 (2006.01) G01N 33/15 (2006.01) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, (21) International Application Number: BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, PCT/US2014/06371 1 DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, (22) International Filing Date: HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, 3 November 20 14 (03 .11.20 14) KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, (25) Filing Language: English PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, (26) Publication Language: English 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. (30) Priority Data: 61/898,938 1 November 2013 (01. 11.2013) (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (71) Applicant: WASHINGTON UNIVERSITY [US/US] GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, One Brookings Drive, St. -
Title: Gut Microbiome Profiles and Associated Metabolic Pathways in HIV-Infected Treatment-Naïve Patients Wellinton M. Do Nasci
medRxiv preprint doi: https://doi.org/10.1101/2020.12.07.20245530; this version posted December 8, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Title: Gut microbiome profiles and associated metabolic pathways in HIV-infected treatment-naïve patients Wellinton M. do Nascimento1,2, Aline Machiavelli2, Luiz G. E. Ferreira3, Luisa Cruz Silveira1, Suwellen S. D. de Azevedo4, Gonzalo Bello4, Daniel P. Smith5, Melissa P. Mezzari5, Joseph Petrosino5, Rubens Tadeu Delgado Duarte6, Carlos R. Zaráte- Bládes2§*, and Aguinaldo R. Pinto1* 1 Laboratório de Imunologia Aplicada, LIA, Departamento de Microbiologia, Imunologia e Parasitologia, Universidade Federal de Santa Catarina, Campus Universitário da Trindade, Florianópolis, SC, 88034-040, Brazil. 2 Laboratório de Imunoregulação, iREG, Departamento de Microbiologia, Imunologia e Parasitologia, Universidade Federal de Santa Catarina, Campus Universitário da Trindade, Florianópolis, SC, 88034-040, Brazil. 3 Hospital Regional Homero de Miranda Gomes, Rua Adolfo Donato da Silva, s/n, São José, SC, 88103-901, Brazil. 4 Laboratório de AIDS e Imunologia Molecular, Instituto Oswaldo Cruz, Av. Brasil, 4365, Rio de Janeiro, RJ, 21045-900, Brazil. 5 Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology & Microbiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, United States. 6 Laboratório de Ecologia Molecular e Extremófilos, Departamento de Microbiologia, Imunologia e Parasitologia, Universidade Federal de Santa Catarina, Campus Universitário da Trindade, Florianópolis, SC, 88034-040, Brazil. *contributed equally to this work NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. -
Robust Taxonomic Classification of Uncharted Microbial Sequences and Bins with CAT and BAT
bioRxiv preprint doi: https://doi.org/10.1101/530188; this version posted January 24, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. Robust taxonomic classification of uncharted microbial sequences and bins with CAT and BAT F.A. Bastiaan von Meijenfeldt1,†, Ksenia Arkhipova1,†, Diego D. Cambuy1, Felipe H. Coutinho2,3, Bas E. Dutilh1,2,* 1 Theoretical Biology and Bioinformatics, Science for Life, Utrecht University, The Netherlands. 2 Centre for Molecular and Biomolecular Informatics, Radboud University Medical Centre, Nijmegen, The Netherlands. 3 Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil. * To whom correspondence should be addressed. Tel: +31 30 253 4212; Email: [email protected]. † These authors contributed equally to this work. Present Address: [Felipe H. Couthinho], Evolutionary Genomics Group, Departamento de Produccíon y Microbiología, Universidad Miguel Hernández, Campus San Juan, San Juan, Alicante 03550, Spain. ABSTRACT Current-day metagenomics increasingly requires taxonomic classification of long DNA sequences and metagenome-assembled genomes (MAGs) of unknown microorganisms. We show that the standard best-hit approach often leads to classifications that are too specific. We present tools to classify high- quality metagenomic contigs (Contig Annotation Tool, CAT) and MAGs (Bin Annotation Tool, BAT) and thoroughly benchmark them with simulated metagenomic sequences that are classified against a reference database where related sequences are increasingly removed, thereby simulating increasingly unknown queries. We find that the query sequences are correctly classified at low taxonomic ranks if closely related organisms are present in the reference database, while classifications are made higher in the taxonomy when closely related organisms are absent, thus avoiding spurious classification specificity. -
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. -
Distinct Signatures of Gut Microbiome and Metabolites Associated with Significant Fibrosis in Non-Obese NAFLD
ARTICLE https://doi.org/10.1038/s41467-020-18754-5 OPEN Distinct signatures of gut microbiome and metabolites associated with significant fibrosis in non-obese NAFLD Giljae Lee 1,10, Hyun Ju You1,2,3,10, Jasmohan S. Bajaj 4, Sae Kyung Joo5, Junsun Yu1, Seoyeon Park1, ✉ Hyena Kang1, Jeong Hwan Park6, Jung Ho Kim6, Dong Hyeon Lee 5, Seonhwa Lee7, Won Kim 5 & ✉ GwangPyo Ko 1,3,8,9 1234567890():,; Nonalcoholic fatty liver disease (NAFLD) is associated with obesity but also found in non- obese individuals. Gut microbiome profiles of 171 Asians with biopsy-proven NAFLD and 31 non-NAFLD controls are analyzed using 16S rRNA sequencing; an independent Western cohort is used for external validation. Subjects are classified into three subgroups according to histological spectra of NAFLD or fibrosis severity. Significant alterations in microbiome diversity are observed according to fibrosis severity in non-obese, but not obese, subjects. Ruminococcaceae and Veillonellaceae are the main microbiota associated with fibrosis severity in non-obese subjects. Furthermore, stool bile acids and propionate are elevated, especially in non-obese subjects with significant fibrosis. Fibrosis-related Ruminococcaceae and Veillo- nellaceae species undergo metagenome sequencing, and four representative species are administered in three mouse NAFLD models to evaluate their effects on liver damage. This study provides the evidence for the role of the microbiome in the liver fibrosis pathogenesis, especially in non-obese subjects. 1 Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea. 2 Institute of Health and Environment, Seoul National University, Seoul 08826, Republic of Korea. -
Microbial Diversity in a Full-Scale Anaerobic Reactor Treating High Concentration Organic Cassava Wastewater
African Journal of Biotechnology Vol. 11(24), pp. 6494-6500, 22 March, 2012 Available online at http://www.academicjournals.org/AJB DOI: 10.5897/AJB11.3142 ISSN 1684–5315 © 2012 Academic Journals Full Length Research Paper Microbial diversity in a full-scale anaerobic reactor treating high concentration organic cassava wastewater Ruifang Gao, Yanzhuan Cao#, Xufeng Yuan, Wanbin Zhu, Xiaofen Wang*, Zongjun Cui. Center of Biomass Engineering / College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China. Accepted 7 December, 2011 Microbial characteristics in the up-flow anaerobic sludge blanket reactor (UASB) of a full-scale high concentration cassava alcohol wastewater plant capable of anaerobic hydrocarbon removal were analyzed using cultivation-independent molecular methods. Forty-five bacterial operational taxonomic units (OTUs) and 24 archaeal OTUs were identified by building 16S rRNA gene of bacterial and archaeal clone libraries. Most bacterial OTUs were identified as phyla of Firmicutes (53.3%), Chloroflexi (20.0%), Proteobacteria (11.1%), Bacteroidetes (6.7%) and a candidate division (2.2%). Methanosaeta (57.5%) were the most abundant archaeal group, followed by Methanobacterium (10.6%), Methanomethylovorans (8.5%) and Methanosarcina (6.4%). Most bacterial species take charge of cellulolysis, proteolysis, acidogenesis and homo-acetogenesis; the most methanogens were typical hydrogenotrophic or hydrogenotrophic/aceticlastic. This study revealed a succession of both bacterial and archaeal populations during the trial, which could be linked to operational adaptation of high concentration organic cassava wastewater. Keywords: Full-scale, anaerobic reactor, 16S rRNA gene clone library, microbial diversity, functional analysis. INTRODUCTION Fuel ethanol production from cassava in China has grown mental problems cannot be neglected (Thammanoon rapidly due to the increasing demand for renewable et al., 2010). -
The Effect of Decreasing Alkalinity on Microbial Community Dynamics in a Sulfate-Reducing Bioreactor As Analyzed by PCR-SSCP
http://www.paper.edu.cn 370 Science in China Series C: Life Sciences 2006 Vol.49 No.4 370—378 DOI: 10.1007/s11427-006-2004-3 The effect of decreasing alkalinity on microbial community dynamics in a sulfate-reducing bioreactor as analyzed by PCR-SSCP REN Nanqi1, ZHAO Yangguo1, WANG Aijie1, GAO Chongyang2, SHANG Huaixiang1, LIU Yiwei1 & WAN Chunli1 1. School of Environmental and Municipal Engineering, Harbin Institute of Technology, Harbin 150090, China; 2. Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin 150040, China Correspondence should be addressed to Ren Nanqi (email: [email protected]) Received August 2, 2005; accepted September 2, 2005 Abstract PCR-single-strand conformation polymorphism (SSCP) and Southern blotting tech- niques were adopted to investigate microbial community dynamics in a sulfate-reducing bioreactor caused by decreasing influent alkalinity. Experimental results indicated that the sulfate-removal rate approached 87% in 25 d under the conditions of influent alkalinity of 4000 mg/L (as CaCO3) and sul- fate-loading rate of 4.8 g/(L·d), which indicated that the bioreactor started up successfully. The analy- sis of microbial community structure in this stage showed that Lactococcus sp., Anaerofilum sp. and Kluyvera sp. were dominant populations. It was found that when influent alkalinity reduced to 1000 mg/L, sulfate-removal rate decreased rapidly to 35% in 3 d. Then influent alkalinity was increased to 3000 mg/L, the sulfate-removal rate rose to 55%. Under these conditions, the populations of Dysgo- nomonas sp., Sporobacte sp., Obesumbacterium sp. and Clostridium sp. got to rich, which predomi- nated in the community together with Lactococcus sp., Anaerofilum sp. -
Meta Analysis of Microbiome Studies Identifies Shared and Disease
bioRxiv preprint doi: https://doi.org/10.1101/134031; this version posted May 8, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. Meta analysis of microbiome studies identifies shared and disease-specific patterns Claire Duvallet1,2, Sean Gibbons1,2,3, Thomas Gurry1,2,3, Rafael Irizarry4,5, and Eric Alm1,2,3,* 1Department of Biological Engineering, MIT 2Center for Microbiome Informatics and Therapeutics 3The Broad Institute of MIT and Harvard 4Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute 5Department of Biostatistics, Harvard T.H. Chan School of Public Health *Corresponding author, [email protected] Contents 1 Abstract2 2 Introduction3 3 Results4 3.1 Most disease states show altered microbiomes ........... 5 3.2 Loss of beneficial microbes or enrichment of pathogens? . 5 3.3 A core set of microbes associated with health and disease . 7 3.4 Comparing studies within and across diseases separates signal from noise ............................... 9 4 Conclusion 10 5 Methods 12 5.1 Dataset collection ........................... 12 5.2 16S processing ............................ 12 5.3 Statistical analyses .......................... 13 5.4 Microbiome community analyses . 13 5.5 Code and data availability ...................... 13 6 Table and Figures 14 1 bioRxiv preprint doi: https://doi.org/10.1101/134031; this version posted May 8, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
The Effects of Ionizing Radiation on Gut Microbiota, a Systematic Review
nutrients Systematic Review The Effects of Ionizing Radiation on Gut Microbiota, a Systematic Review Ana Fernandes 1,* , Ana Oliveira 1, Raquel Soares 2,3 and Pedro Barata 3,4,5 1 Department of Nuclear Medicine, Centro Hospitalar Universitário de São João, E.P.E., 4200-319 Porto, Portugal; [email protected] 2 Department of Biomedicine, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal; [email protected] 3 i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal; [email protected] 4 Department of Pharmaceutical Science, Faculdade de Ciências da Saúde da Universidade Fernando Pessoa, 4249-004 Porto, Portugal 5 Department of Pathology, Centro Hospitalar Universitário do Porto, 4099-001 Porto, Portugal * Correspondence: [email protected]; Tel.: +351-961312756 Abstract: Background: The human gut microbiota is defined as the microorganisms that collectively inhabit the intestinal tract. Its composition is relatively stable; however, an imbalance can be pre- cipitated by various factors and is known to be associated with various diseases. Humans are daily exposed to ionizing radiation from ambient and medical procedures, and gastrointestinal side effects are not rare. Methods: A systematic search of PubMed, EMBASE, and Cochrane Library databases was conducted. Primary outcomes were changes in composition, richness, and diversity of the gut microbiota after ionizing radiation exposure. Standard methodological procedures expected by Cochrane were used. Results: A total of 2929 nonduplicated records were identified, and based on the inclusion criteria, 11 studies were considered. Studies were heterogeneous, with differences in Citation: Fernandes, A.; Oliveira, A.; population and outcomes. -
An Expanded Gene Catalog of the Mouse Gut Metagenome
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.16.299339; this version posted September 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 An expanded gene catalog of the mouse gut metagenome 2 3 Jiahui Zhu1,2,3,#, Huahui Ren3,4,#, Huanzi Zhong3,4, Xiaoping Li3,4, Yuanqiang Zou3,4, Mo Han3,4, Minli 4 Li1,2, Lise Madsen3,4,5, Karsten Kristiansen3,4,6, Liang Xiao3,6,7,* 5 6 1School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China 7 2State key laboratory of Bioelectronics, Southeast University, Nanjing 210096, China 8 3BGI-Shenzhen, Shenzhen 518083, China 9 4Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of 10 Copenhagen, 2100 Copenhagen, Denmark 11 5Institute of Marine Research, P.O. Box 7800, 5020 Bergen, Norway 12 6Qingdao-Europe Advanced Institute for Life Sciences, BGI-Shenzhen, Qingdao 266555, China 13 7Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, 14 Shenzhen 518083, China 15 16 #These authors contributed equally to this paper. 17 *Corresponding author: 18 Dr. Liang Xiao 19 BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian District, Shenzhen, China 20 Email: [email protected] 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.16.299339; this version posted September 16, 2020. -
Sex- and Age-Specific Variation of Gut Microbiota in Brandt's Voles
Sex- and age-specific variation of gut microbiota in Brandt's voles Xiaoming Xu1,2 and Zhibin Zhang1,2 1 State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, Beijing, China 2 CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, Beijing, China ABSTRACT Background. Gut microbiota plays a key role in the survival and reproduction of wild animals which rely on microbiota to break down plant compounds for nutrients. As compared to laboratory animals, wild animals face much more threat of environmental changes (e.g. food shortages and risk of infection). Therefore, studying the gut microbiota of wild animals can help us better understand the mechanisms animals use to adapt to their environment. Methods. We collected the feces of Brandt's voles in the grassland, of three age groups (juvenile, adult and old), in both sexes. We studied the gut microbiota by 16S rRNA sequencing. Results. The main members of gut microbiota in Brandt's voles were Firmicutes, Bacteroidetes and Proteobacteria. As voles get older, the proportion of Firmicutes increased gradually, and the proportion of Bacteroides decreased gradually. The diversity of the microbiota of juveniles is lower, seems like there is still a lot of space for colonization, and there are large variations in the composition of the microbiome between individuals. In adulthood, the gut microbiota tends to be stable, and the diversity is highest. In adult, the abundances of Christensenellaceae and Peptococcus of female were significantly higher than male voles. Conclusions. The gut microbiota of Brandt's vole was influenced by sex and age, probably due to growth needs and hormone levels. -
Diversity of Archaea and Bacteria in a Biogas Reactor Fed with Pennisetum Sinese Roxb by 16S Rrna Sequence Analysis
Zhao et al Tropical Journal of Pharmaceutical Research December 2016; 15 (12): 2659-2667 ISSN: 1596-5996 (print); 1596-9827 (electronic) © Pharmacotherapy Group, Faculty of Pharmacy, University of Benin, Benin City, 300001 Nigeria. All rights reserved. Available online at http://www.tjpr.org http://dx.doi.org/10.4314/tjpr.v15i12.18 Original Research Article Diversity of archaea and bacteria in a biogas reactor fed with Pennisetum sinese Roxb by 16S rRNA sequence analysis Chao Zhao1,3, Chao Ai1,2, Qiuzhe Li1,3, Chengfeng Yang1,3, Guangzhi Zhou1,3 and Bin Liu1,3,4* 1College of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, 2School of Food Science and Engineering, South China University of Technology, 3Institute of Bioenergy, Fujian Agriculture and Forestry University, Fuzhou 350002, 4China National Engineering Research Center of Juncao Technology, Fuzhou 350002, China *For correspondence: Email: [email protected]; Tel: 86-591-83530197; Fax: 86-591-83530197 Received: 10 September 2015 Revised accepted: 20 November 2016 Abstract Purpose: To investigate the structure and function of the complex rumen microbial community in a biogas reactor by 16S rRNA gene analysis, which was fed with Pennisetum sinese Roxb as the mono- substrate. Methods: Two 16S ribosomal RNA (rRNA) clone libraries of bacteria and archaea were established by polymerase chain reaction. Community structure was determined by phylogenetic analyses of 119 and 100 16S rRNA gene clones from the bacterial and archaeal libraries, respectively. Results: In the bacterial library, 13.4 % of clones were affiliated with Treponema porcinum, 5.9 % with Eubacterium limosum, 5 % with Clostridium, 5 % with Bacteroidetes, 4.2 % with Firmicutes, 2.5 % with Anaerofilum and a total of 64 % clones belonged to unclassified or uncultured bacteria.