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Wuyts S, Alves R, Zimmermann‐Kogadeeva M, Nishijima S, Blasche S, Driessen M, Geyer PE, Hercog R, Kartal E, Maier L, Müller JB, Garcia Santamarina S, Schmidt TSB, Sevin DC, Telzerow A, Treit PV, Wenzel T, Typas A, Patil KR, Mann M, Kuhn M, Bork P. Consistency across multi-omics layers in a drug-perturbed gut microbial community. Mol Syst Biol 2023; 19:e11525. [PMID: 37485738 PMCID: PMC10495815 DOI: 10.15252/msb.202311525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 07/04/2023] [Accepted: 07/06/2023] [Indexed: 07/25/2023] Open
Abstract
Multi-omics analyses are used in microbiome studies to understand molecular changes in microbial communities exposed to different conditions. However, it is not always clear how much each omics data type contributes to our understanding and whether they are concordant with each other. Here, we map the molecular response of a synthetic community of 32 human gut bacteria to three non-antibiotic drugs by using five omics layers (16S rRNA gene profiling, metagenomics, metatranscriptomics, metaproteomics and metabolomics). We find that all the omics methods with species resolution are highly consistent in estimating relative species abundances. Furthermore, different omics methods complement each other for capturing functional changes. For example, while nearly all the omics data types captured that the antipsychotic drug chlorpromazine selectively inhibits Bacteroidota representatives in the community, the metatranscriptome and metaproteome suggested that the drug induces stress responses related to protein quality control. Metabolomics revealed a decrease in oligosaccharide uptake, likely caused by Bacteroidota depletion. Our study highlights how multi-omics datasets can be utilized to reveal complex molecular responses to external perturbations in microbial communities.
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Affiliation(s)
- Sander Wuyts
- European Molecular Biology LaboratoryHeidelbergGermany
| | - Renato Alves
- European Molecular Biology LaboratoryHeidelbergGermany
| | | | | | - Sonja Blasche
- European Molecular Biology LaboratoryHeidelbergGermany
- Medical Research Council Toxicology UnitCambridgeUK
| | | | - Philipp E Geyer
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Rajna Hercog
- European Molecular Biology LaboratoryHeidelbergGermany
| | - Ece Kartal
- European Molecular Biology LaboratoryHeidelbergGermany
| | - Lisa Maier
- European Molecular Biology LaboratoryHeidelbergGermany
| | - Johannes B Müller
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Sarela Garcia Santamarina
- European Molecular Biology LaboratoryHeidelbergGermany
- Present address:
MOSTMICRO Unit, Instituto de Tecnologia Quimica e BiologicaUniversidade Nova de LisboaOeirasPortugal
| | | | | | - Anja Telzerow
- European Molecular Biology LaboratoryHeidelbergGermany
| | - Peter V Treit
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Tobias Wenzel
- European Molecular Biology LaboratoryHeidelbergGermany
- Present address:
Institute for Biological and Medical Engineering, Schools of Engineering, Medicine and Biological SciencesPontificia Universidad Catolica de ChileSantiagoChile
| | | | - Kiran R Patil
- European Molecular Biology LaboratoryHeidelbergGermany
- Medical Research Council Toxicology UnitCambridgeUK
| | - Matthias Mann
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
- Proteomics Program, NNF Center for Protein Research, Faculty of Health SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Michael Kuhn
- European Molecular Biology LaboratoryHeidelbergGermany
| | - Peer Bork
- European Molecular Biology LaboratoryHeidelbergGermany
- Max Delbrück Centre for Molecular MedicineBerlinGermany
- Yonsei Frontier Lab (YFL)Yonsei UniversitySeoulSouth Korea
- Department of Bioinformatics, BiocenterUniversity of WürzburgWürzburgGermany
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2
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Kartal E, Schmidt TSB, Molina-Montes E, Rodríguez-Perales S, Wirbel J, Maistrenko OM, Akanni WA, Alashkar Alhamwe B, Alves RJ, Carrato A, Erasmus HP, Estudillo L, Finkelmeier F, Fullam A, Glazek AM, Gómez-Rubio P, Hercog R, Jung F, Kandels S, Kersting S, Langheinrich M, Márquez M, Molero X, Orakov A, Van Rossum T, Torres-Ruiz R, Telzerow A, Zych K, Benes V, Zeller G, Trebicka J, Real FX, Malats N, Bork P. A faecal microbiota signature with high specificity for pancreatic cancer. Gut 2022; 71:1359-1372. [PMID: 35260444 PMCID: PMC9185815 DOI: 10.1136/gutjnl-2021-324755] [Citation(s) in RCA: 94] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 12/05/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND Recent evidence suggests a role for the microbiome in pancreatic ductal adenocarcinoma (PDAC) aetiology and progression. OBJECTIVE To explore the faecal and salivary microbiota as potential diagnostic biomarkers. METHODS We applied shotgun metagenomic and 16S rRNA amplicon sequencing to samples from a Spanish case-control study (n=136), including 57 cases, 50 controls, and 29 patients with chronic pancreatitis in the discovery phase, and from a German case-control study (n=76), in the validation phase. RESULTS Faecal metagenomic classifiers performed much better than saliva-based classifiers and identified patients with PDAC with an accuracy of up to 0.84 area under the receiver operating characteristic curve (AUROC) based on a set of 27 microbial species, with consistent accuracy across early and late disease stages. Performance further improved to up to 0.94 AUROC when we combined our microbiome-based predictions with serum levels of carbohydrate antigen (CA) 19-9, the only current non-invasive, Food and Drug Administration approved, low specificity PDAC diagnostic biomarker. Furthermore, a microbiota-based classification model confined to PDAC-enriched species was highly disease-specific when validated against 25 publicly available metagenomic study populations for various health conditions (n=5792). Both microbiome-based models had a high prediction accuracy on a German validation population (n=76). Several faecal PDAC marker species were detectable in pancreatic tumour and non-tumour tissue using 16S rRNA sequencing and fluorescence in situ hybridisation. CONCLUSION Taken together, our results indicate that non-invasive, robust and specific faecal microbiota-based screening for the early detection of PDAC is feasible.
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Affiliation(s)
- Ece Kartal
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Collaboration for joint PhD degree, European Molecular Biology Laboratory and Heidelberg University, Heidelberg, Germany
| | - Thomas S B Schmidt
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Esther Molina-Montes
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain
| | - Sandra Rodríguez-Perales
- Centro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain
- Molecular Cytogenetics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Jakob Wirbel
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Collaboration for joint PhD degree, European Molecular Biology Laboratory and Heidelberg University, Heidelberg, Germany
| | - Oleksandr M Maistrenko
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Wasiu A Akanni
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Bilal Alashkar Alhamwe
- Member of the German Center for Lung Research (DZL) and the Universities of Giessen and Marburg Lung School (UGMLC), Philipps University Marburg Faculty of Medicine, Marburg, Germany
| | - Renato J Alves
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Alfredo Carrato
- Centro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain
- Medical Oncology Department of Oncology, Hospital Ramón y Cajal, Madrid, Spain
- University of Alcala de Henares, Alcala de Henares, Spain
| | - Hans-Peter Erasmus
- Translational Hepatology Department of Internal Medicine I, Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Germany
| | - Lidia Estudillo
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain
| | - Fabian Finkelmeier
- Translational Hepatology Department of Internal Medicine I, Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt am Main, Hessen, Germany
| | - Anthony Fullam
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Anna M Glazek
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Paulina Gómez-Rubio
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain
| | - Rajna Hercog
- Genomic Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Ferris Jung
- Genomic Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Stefanie Kandels
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Stephan Kersting
- Department of Surgery, Erlangen University Hospital, Erlangen, Germany
- Department of Surgery, University of Greifswald, Greifswald, Germany
| | | | - Mirari Márquez
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain
| | - Xavier Molero
- Hospital Universitari Vall d'Hebron, Institut de Recerca (VHIR), Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
| | - Askarbek Orakov
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Thea Van Rossum
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Raul Torres-Ruiz
- Centro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain
- Molecular Cytogenetics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Anja Telzerow
- Genomic Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Konrad Zych
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Vladimir Benes
- Genomic Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Georg Zeller
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Jonel Trebicka
- Translational Hepatology Department of Internal Medicine I, Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Germany
- EF Clif, European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain
| | - Francisco X Real
- Centro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain
- Epithelial Carcinogenesis Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
| | - Nuria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain
| | - Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany
- Yonsei Frontier Lab (YFL), Yonsei University, Seoul, South Korea
- Max Delbrück Centre for Molecular Medicine, Berlin, Germany
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3
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Hildebrand F, Moitinho-Silva L, Blasche S, Jahn MT, Gossmann TI, Huerta-Cepas J, Hercog R, Luetge M, Bahram M, Pryszlak A, Alves RJ, Waszak SM, Zhu A, Ye L, Costea PI, Aalvink S, Belzer C, Forslund SK, Sunagawa S, Hentschel U, Merten C, Patil KR, Benes V, Bork P. Antibiotics-induced monodominance of a novel gut bacterial order. Gut 2019; 68:1781-1790. [PMID: 30658995 PMCID: PMC6839795 DOI: 10.1136/gutjnl-2018-317715] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 12/17/2018] [Accepted: 12/19/2018] [Indexed: 01/21/2023]
Abstract
OBJECTIVE The composition of the healthy human adult gut microbiome is relatively stable over prolonged periods, and representatives of the most highly abundant and prevalent species have been cultured and described. However, microbial abundances can change on perturbations, such as antibiotics intake, enabling the identification and characterisation of otherwise low abundant species. DESIGN Analysing gut microbial time-series data, we used shotgun metagenomics to create strain level taxonomic and functional profiles. Community dynamics were modelled postintervention with a focus on conditionally rare taxa and previously unknown bacteria. RESULTS In response to a commonly prescribed cephalosporin (ceftriaxone), we observe a strong compositional shift in one subject, in which a previously unknown species, UBorkfalki ceftriaxensis, was identified, blooming to 92% relative abundance. The genome assembly reveals that this species (1) belongs to a so far undescribed order of Firmicutes, (2) is ubiquitously present at low abundances in at least one third of adults, (3) is opportunistically growing, being ecologically similar to typical probiotic species and (4) is stably associated to healthy hosts as determined by single nucleotide variation analysis. It was the first coloniser after the antibiotic intervention that led to a long-lasting microbial community shift and likely permanent loss of nine commensals. CONCLUSION The bloom of UB. ceftriaxensis and a subsequent one of Parabacteroides distasonis demonstrate the existence of monodominance community states in the gut. Our study points to an undiscovered wealth of low abundant but common taxa in the human gut and calls for more highly resolved longitudinal studies, in particular on ecosystem perturbations.
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Affiliation(s)
- Falk Hildebrand
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Lucas Moitinho-Silva
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Sonja Blasche
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Martin T Jahn
- RD3 Marine Microbiology, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
| | | | - Jaime Huerta-Cepas
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Computational systems biology and genomics, Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | - Rajna Hercog
- Genomics Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Mechthild Luetge
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Mohammad Bahram
- Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden
- Department of Botany, Institute of Ecology and Earth Sciences, Tartu University, Tartu, Estonia
| | - Anna Pryszlak
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Renato J Alves
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Structural and Computational Biology Unit, Joint PhD degree between EMBL and Heidelberg University, Heidelberg, Germany
| | - Sebastian M Waszak
- Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Ana Zhu
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Host Microbiota Interactions Laboratory, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Lumeng Ye
- Biotechnology Dept., GenScript Corporation (NanJing), NanJing, China
| | - Paul Igor Costea
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Steven Aalvink
- Institute of Microbiology, Wagenigen University, Wageningen, Netherlands
| | - Clara Belzer
- Institute of Microbiology, Wagenigen University, Wageningen, Netherlands
| | - Sofia K Forslund
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Experimental and ClinicalResearch Centre, Max Delbrück Centre for Molecular Medicine, Berlin, Germany
| | - Shinichi Sunagawa
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Department of Biology, Institute of Microbiology, ETH Zurich, Zurich, Switzerland
| | - Ute Hentschel
- RD3 Marine Microbiology, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
| | - Christoph Merten
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Kiran Raosaheb Patil
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Vladimir Benes
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Molecular Medicine Partnership Unit (MMPU), University of Heidelberg and European Molecular Biology Laboratory, Heidelberg, Germany
- Department of Bioinformatics, University of Würzburg, Würzburg, Germany
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4
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Hickl O, Heintz-Buschart A, Trautwein-Schult A, Hercog R, Bork P, Wilmes P, Becher D. Sample Preservation and Storage Significantly Impact Taxonomic and Functional Profiles in Metaproteomics Studies of the Human Gut Microbiome. Microorganisms 2019; 7:microorganisms7090367. [PMID: 31546776 PMCID: PMC6780314 DOI: 10.3390/microorganisms7090367] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 09/13/2019] [Accepted: 09/17/2019] [Indexed: 12/27/2022] Open
Abstract
With the technological advances of the last decade, it is now feasible to analyze microbiome samples, such as human stool specimens, using multi-omic techniques. Given the inherent sample complexity, there exists a need for sample methods which preserve as much information as possible about the biological system at the time of sampling. Here, we analyzed human stool samples preserved and stored using different methods, applying metagenomics as well as metaproteomics. Our results demonstrate that sample preservation and storage have a significant effect on the taxonomic composition of identified proteins. The overall identification rates, as well as the proportion of proteins from Actinobacteria were much higher when samples were flash frozen. Preservation in RNAlater overall led to fewer protein identifications and a considerable increase in the share of Bacteroidetes, as well as Proteobacteria. Additionally, a decrease in the share of metabolism-related proteins and an increase of the relative amount of proteins involved in the processing of genetic information was observed for RNAlater-stored samples. This suggests that great care should be taken in choosing methods for the preservation and storage of microbiome samples, as well as in comparing the results of analyses using different sampling and storage methods. Flash freezing and subsequent storage at −80 °C should be chosen wherever possible.
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Affiliation(s)
- Oskar Hickl
- Institute of Microbiology, University of Greifswald, D-17489 Greifswald, Germany.
| | - Anna Heintz-Buschart
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, D-04103 Leipzig, Germany.
- Helmholtz Centre for Environmental Research GmbH - UFZ, D-06120 Halle, Germany.
- Luxembourg Centre for Systems Biomedicine, Université du Luxembourg, L-4362 Esch-sur-Alzette, Luxembourg.
| | | | - Rajna Hercog
- European Molecular Biology Laboratory Heidelberg, D-69117 Heidelberg, Germany.
| | - Peer Bork
- European Molecular Biology Laboratory Heidelberg, D-69117 Heidelberg, Germany.
- Max Delbrück Centre for Molecular Medicine, D-13125 Berlin, Germany.
- Molecular Medicine Partnership Unit (MMPU), European Molecular Biology Laboratory and University Hospital Heidelberg, D-69120 Heidelberg, Germany.
- Faculty of Biology, University of Würzburg, D-97074 Würzburg, Germany.
| | - Paul Wilmes
- Luxembourg Centre for Systems Biomedicine, Université du Luxembourg, L-4362 Esch-sur-Alzette, Luxembourg.
| | - Dörte Becher
- Institute of Microbiology, University of Greifswald, D-17489 Greifswald, Germany.
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5
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Kushugulova A, Forslund SK, Costea PI, Kozhakhmetov S, Khassenbekova Z, Urazova M, Nurgozhin T, Zhumadilov Z, Benberin V, Driessen M, Hercog R, Voigt AY, Benes V, Kandels-Lewis S, Sunagawa S, Letunic I, Bork P. Metagenomic analysis of gut microbial communities from a Central Asian population. BMJ Open 2018; 8:e021682. [PMID: 30056386 PMCID: PMC6067398 DOI: 10.1136/bmjopen-2018-021682] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Changes in the gut microbiota are increasingly recognised to be involved in many diseases. This ecosystem is known to be shaped by many factors, including climate, geography, host nutrition, lifestyle and medication. Thus, knowledge of varying populations with different habits is important for a better understanding of the microbiome. DESIGN We therefore conducted a metagenomic analysis of intestinal microbiota from Kazakh donors, recruiting 84 subjects, including male and female healthy subjects and metabolic syndrome (MetS) patients aged 25-75 years, from the Kazakh administrative centre, Astana. We characterise and describe these microbiomes, the first deep-sequencing cohort from Central Asia, in comparison with a global dataset (832 individuals from five countries on three continents), and explore correlations between microbiota, clinical and laboratory parameters as well as with nutritional data from Food Frequency Questionnaires. RESULTS We observe that Kazakh microbiomes are relatively different from both European and East Asian counterparts, though similar to other Central Asian microbiomes, with the most striking difference being significantly more samples falling within the Prevotella-rich enterotype, potentially reflecting regional diet and lifestyle. We show that this enterotype designation remains stable within an individual over time in 82% of cases. We further observe gut microbiome features that distinguish MetS patients from controls (eg, significantly reduced Firmicutes to Bacteroidetes ratio, Bifidobacteria and Subdoligranulum, alongside increased Prevotella), though these overlap little with previously published reports and thus may reflect idiosyncrasies of the present cohort. CONCLUSION Taken together, this exploratory study describes gut microbiome data from an understudied population, providing a starting point for further comparative work on biogeography and research on widespread diseases. TRIAL REGISTRATION NUMBER ISRCTN37346212; Post-results.
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Affiliation(s)
| | - Sofia K Forslund
- The European Molecular Biology Laboratory (EMBL), Structural and Computational Biology, Heidelberg, Germany
- ECRC, Max Delbrück Centre for Molecular Medicine, Berlin, Germany
- Experimental and Clinical Research Centre, a cooperation of Charité-Universitätsmedizin and the Max-Delbrück Centre, Berlin, Berlin, Germany
| | - Paul Igor Costea
- The European Molecular Biology Laboratory (EMBL), Structural and Computational Biology, Heidelberg, Germany
| | | | | | - Maira Urazova
- National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan
| | - Talgat Nurgozhin
- National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan
| | | | - Valery Benberin
- Medical Center under the Office of the Kazakh President, Astana, Kazakhstan
| | - Marja Driessen
- The European Molecular Biology Laboratory (EMBL), Structural and Computational Biology, Heidelberg, Germany
| | - Rajna Hercog
- The European Molecular Biology Laboratory (EMBL), Structural and Computational Biology, Heidelberg, Germany
| | - Anita Yvonne Voigt
- The European Molecular Biology Laboratory (EMBL), Structural and Computational Biology, Heidelberg, Germany
| | - Vladimir Benes
- The European Molecular Biology Laboratory (EMBL), Structural and Computational Biology, Heidelberg, Germany
| | - Stefanie Kandels-Lewis
- The European Molecular Biology Laboratory (EMBL), Structural and Computational Biology, Heidelberg, Germany
| | - Shinichi Sunagawa
- The European Molecular Biology Laboratory (EMBL), Structural and Computational Biology, Heidelberg, Germany
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland
| | - Ivica Letunic
- The European Molecular Biology Laboratory (EMBL), Structural and Computational Biology, Heidelberg, Germany
| | - Peer Bork
- The European Molecular Biology Laboratory (EMBL), Structural and Computational Biology, Heidelberg, Germany
- ECRC, Max Delbrück Centre for Molecular Medicine, Berlin, Germany
- Department of Bioinformatics, University of Würzburg, Würzburg, Germany
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6
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Costea PI, Zeller G, Sunagawa S, Pelletier E, Alberti A, Levenez F, Tramontano M, Driessen M, Hercog R, Jung FE, Kultima JR, Hayward MR, Coelho LP, Allen-Vercoe E, Bertrand L, Blaut M, Brown JRM, Carton T, Cools-Portier S, Daigneault M, Derrien M, Druesne A, de Vos WM, Finlay BB, Flint HJ, Guarner F, Hattori M, Heilig H, Luna RA, van Hylckama Vlieg J, Junick J, Klymiuk I, Langella P, Le Chatelier E, Mai V, Manichanh C, Martin JC, Mery C, Morita H, O'Toole PW, Orvain C, Patil KR, Penders J, Persson S, Pons N, Popova M, Salonen A, Saulnier D, Scott KP, Singh B, Slezak K, Veiga P, Versalovic J, Zhao L, Zoetendal EG, Ehrlich SD, Dore J, Bork P. Towards standards for human fecal sample processing in metagenomic studies. Nat Biotechnol 2017; 35:1069-1076. [PMID: 28967887 DOI: 10.1038/nbt.3960] [Citation(s) in RCA: 455] [Impact Index Per Article: 65.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 08/11/2017] [Indexed: 12/30/2022]
Abstract
Technical variation in metagenomic analysis must be minimized to confidently assess the contributions of microbiota to human health. Here we tested 21 representative DNA extraction protocols on the same fecal samples and quantified differences in observed microbial community composition. We compared them with differences due to library preparation and sample storage, which we contrasted with observed biological variation within the same specimen or within an individual over time. We found that DNA extraction had the largest effect on the outcome of metagenomic analysis. To rank DNA extraction protocols, we considered resulting DNA quantity and quality, and we ascertained biases in estimates of community diversity and the ratio between Gram-positive and Gram-negative bacteria. We recommend a standardized DNA extraction method for human fecal samples, for which transferability across labs was established and which was further benchmarked using a mock community of known composition. Its adoption will improve comparability of human gut microbiome studies and facilitate meta-analyses.
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Affiliation(s)
- Paul I Costea
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Georg Zeller
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Shinichi Sunagawa
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany.,Department of Biology, Institute of Microbiology, ETH Zurich, Zurich, Switzerland
| | - Eric Pelletier
- CEA - Institut François Jacob - Genoscope, Evry, France.,CNRS UMR-8030, Evry, France.,Université Evry Val d'Essonne, Evry, France
| | | | - Florence Levenez
- Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France
| | - Melanie Tramontano
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Marja Driessen
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Rajna Hercog
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Ferris-Elias Jung
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Jens Roat Kultima
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Matthew R Hayward
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Luis Pedro Coelho
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Emma Allen-Vercoe
- Department of Molecular and Cellular Biology, The University of Guelph, Guelph, Ontario, Canada
| | | | - Michael Blaut
- Department of Gastrointestinal Microbiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Jillian R M Brown
- School of Microbiology & APC Microbiome Institute, University College Cork, Cork, Ireland
| | | | | | - Michelle Daigneault
- Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France
| | | | | | - Willem M de Vos
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, the Netherlands.,Immunobiology Research Program, Department of Bacteriology and Immunology, University of Helsinki, Helsinki, Finland
| | - B Brett Finlay
- Michael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada
| | - Harry J Flint
- Rowett Institute of Nutrition and Health, University of Aberdeen, Aberdeen, UK
| | - Francisco Guarner
- Digestive System Research Unit, Vall d'Hebron Research Institute, Barcelona, Spain
| | - Masahira Hattori
- Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.,Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan
| | - Hans Heilig
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, the Netherlands
| | - Ruth Ann Luna
- Texas Children's Hospital, Feigin Center, Houston, Texas, USA
| | | | - Jana Junick
- Department of Gastrointestinal Microbiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Ingeborg Klymiuk
- Center for Medical Research, Medical University of Graz, Graz, Austria
| | - Philippe Langella
- Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France
| | | | - Volker Mai
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA
| | - Chaysavanh Manichanh
- Digestive System Research Unit, Vall d'Hebron Research Institute, Barcelona, Spain
| | - Jennifer C Martin
- Rowett Institute of Nutrition and Health, University of Aberdeen, Aberdeen, UK
| | | | - Hidetoshi Morita
- Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan
| | - Paul W O'Toole
- School of Microbiology & APC Microbiome Institute, University College Cork, Cork, Ireland
| | - Céline Orvain
- CEA - Institut François Jacob - Genoscope, Evry, France
| | - Kiran Raosaheb Patil
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - John Penders
- School of Nutrition and Translational Research in Metabolism (NUTRIM) and Care and Public Health Research Institute (Caphri), Department of Medical Microbiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Søren Persson
- Unit of Foodborne Infections, Department of Bacteria, Parasites & Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Nicolas Pons
- Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France
| | | | - Anne Salonen
- Immunobiology Research Program, Department of Bacteriology and Immunology, University of Helsinki, Helsinki, Finland
| | - Delphine Saulnier
- Department of Gastrointestinal Microbiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Karen P Scott
- Rowett Institute of Nutrition and Health, University of Aberdeen, Aberdeen, UK
| | - Bhagirath Singh
- Centre for Human Immunology, Department of Microbiology & Immunology and Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Kathleen Slezak
- Department of Gastrointestinal Microbiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | | | | | - Liping Zhao
- Ministry of Education Key Laboratory for Systems Biomedicine, Shanghai Centre for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, PR China
| | - Erwin G Zoetendal
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, the Netherlands
| | - S Dusko Ehrlich
- Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France.,King's College London, Centre for Host-Microbiome Interactions, Dental Institute Central Office, Guy's Hospital, London, UK
| | - Joel Dore
- Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France
| | - Peer Bork
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany.,Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany.,Molecular Medicine Partnership Unit, Heidelberg, Germany.,Max-Delbrück-Centre for Molecular Medicine, Berlin, Germany
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7
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Forslund K, Hildebrand F, Nielsen T, Falony G, Le Chatelier E, Sunagawa S, Prifti E, Vieira-Silva S, Gudmundsdottir V, Pedersen HK, Arumugam M, Kristiansen K, Voigt AY, Vestergaard H, Hercog R, Costea PI, Kultima JR, Li J, Jørgensen T, Levenez F, Dore J, Nielsen HB, Brunak S, Raes J, Hansen T, Wang J, Ehrlich SD, Bork P, Pedersen O. Erratum: Corrigendum: Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota. Nature 2017; 545:116. [DOI: 10.1038/nature22318] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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8
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Jaruskova M, Curik N, Hercog R, Polivkova V, Motlova E, Benes V, Klamova H, Pecherkova P, Belohlavkova P, Vrbacky F, Machova Polakova K. Genotypes of SLC22A4 and SLC22A5 regulatory loci are predictive of the response of chronic myeloid leukemia patients to imatinib treatment. J Exp Clin Cancer Res 2017; 36:55. [PMID: 28420426 PMCID: PMC5395939 DOI: 10.1186/s13046-017-0523-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 03/31/2017] [Indexed: 01/06/2023]
Abstract
Background Through high-throughput next-generation sequencing of promoters of solute carrier and ATP-binding cassette genes, which encode drug transporters, we aimed to identify SNPs associated with the response to imatinib administered for first-line treatment of patients with chronic myeloid leukemia. Methods In silico analysis using publicly available databases was done to select the SLC and ABC genes and their promoters for the next-generation sequencing. SNPs associated with the imatinib response were identified using Fisher’s exact probability tests and subjected to the linkage disequilibrium analyses with regulatory loci of concerned genes. We analyzed cumulative achievement of major molecular response and probability of event free survival in relation to identified SNP genotypes in 129 CML patients and performed multivariate analysis for determination of genotypes as independent predictors of outcome. Gene expression analysis of eight cell lines naturally carrying different genotypes was performed to outline an impact of genotypes on the gene expression. Results We observed significant differences in the frequencies of the rs460089-GC and rs460089-GG (SLC22A4) genotypes among rs2631365-TC (SLC22A5) genotype carriers that were associated with optimal and non-optimal responses, respectively. Loci rs460089 and rs2631365 were in highly significant linkage disequilibrium with 12 regulatory loci in introns of SLC22A4 and SLC22A5 encoding imatinib transporters. Genotype association analysis with the response to imatinib indicated that rs460089-GC carriers had a significantly higher probability of achieving a stable major molecular response (BCR-ABL1 transcript level below or equal to 0.1% in the international scale). In contrast, the rs460089-GG represented a risk factor for imatinib failure, which was significantly higher in rs460089-GG_rs2631365-TC carriers. Conclusions This exploratory study depicted potentially important genetic markers predicting outcome of imatinib treatment, which may be helpful for tailoring therapy in clinical practice. Electronic supplementary material The online version of this article (doi:10.1186/s13046-017-0523-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Monika Jaruskova
- Institute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic.,Institute of Clinical and Experimental Hematology, 1st Medicine Faculty, Charles University, Prague, Czech Republic
| | - Nikola Curik
- Institute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic.,Institute of Pathophysiology, 1st Medicine Faculty, Charles University, Prague, Czech Republic
| | - Rajna Hercog
- European Molecular Biology Laboratory, Genomics Core Facility, Heidelberg, Germany
| | - Vaclava Polivkova
- Institute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic.,Faculty of Science, Charles University, Prague, Czech Republic
| | - Eliska Motlova
- Institute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic
| | - Vladimir Benes
- European Molecular Biology Laboratory, Genomics Core Facility, Heidelberg, Germany
| | - Hana Klamova
- Institute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic.,Institute of Clinical and Experimental Hematology, 1st Medicine Faculty, Charles University, Prague, Czech Republic.,CELL, the Czech Leukemia Study Group for Life, Brno, Czech Republic
| | - Pavla Pecherkova
- Institute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic
| | - Petra Belohlavkova
- CELL, the Czech Leukemia Study Group for Life, Brno, Czech Republic.,4th Department of Internal Medicine Hematology, Charles University Faculty Hospital and Faculty of Medicine, Hradec Kralove, Czech Republic
| | - Filip Vrbacky
- 4th Department of Internal Medicine Hematology, Charles University Faculty Hospital and Faculty of Medicine, Hradec Kralove, Czech Republic
| | - Katerina Machova Polakova
- Institute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic. .,Institute of Clinical and Experimental Hematology, 1st Medicine Faculty, Charles University, Prague, Czech Republic. .,CELL, the Czech Leukemia Study Group for Life, Brno, Czech Republic.
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9
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Vogtmann E, Hua X, Zeller G, Sunagawa S, Voigt AY, Hercog R, Goedert JJ, Shi J, Bork P, Sinha R. Colorectal Cancer and the Human Gut Microbiome: Reproducibility with Whole-Genome Shotgun Sequencing. PLoS One 2016; 11:e0155362. [PMID: 27171425 PMCID: PMC4865240 DOI: 10.1371/journal.pone.0155362] [Citation(s) in RCA: 171] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Accepted: 04/27/2016] [Indexed: 12/16/2022] Open
Abstract
Accumulating evidence indicates that the gut microbiota affects colorectal cancer development, but previous studies have varied in population, technical methods, and associations with cancer. Understanding these variations is needed for comparisons and for potential pooling across studies. Therefore, we performed whole-genome shotgun sequencing on fecal samples from 52 pre-treatment colorectal cancer cases and 52 matched controls from Washington, DC. We compared findings from a previously published 16S rRNA study to the metagenomics-derived taxonomy within the same population. In addition, metagenome-predicted genes, modules, and pathways in the Washington, DC cases and controls were compared to cases and controls recruited in France whose specimens were processed using the same platform. Associations between the presence of fecal Fusobacteria, Fusobacterium, and Porphyromonas with colorectal cancer detected by 16S rRNA were reproduced by metagenomics, whereas higher relative abundance of Clostridia in cancer cases based on 16S rRNA was merely borderline based on metagenomics. This demonstrated that within the same sample set, most, but not all taxonomic associations were seen with both methods. Considering significant cancer associations with the relative abundance of genes, modules, and pathways in a recently published French metagenomics dataset, statistically significant associations in the Washington, DC population were detected for four out of 10 genes, three out of nine modules, and seven out of 17 pathways. In total, colorectal cancer status in the Washington, DC study was associated with 39% of the metagenome-predicted genes, modules, and pathways identified in the French study. More within and between population comparisons are needed to identify sources of variation and disease associations that can be reproduced despite these variations. Future studies should have larger sample sizes or pool data across studies to have sufficient power to detect associations that are reproducible and significant after correction for multiple testing.
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Affiliation(s)
- Emily Vogtmann
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Xing Hua
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Georg Zeller
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Shinichi Sunagawa
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Anita Y. Voigt
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Applied Tumor Biology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg and European Molecular Biology Laboratory, Heidelberg, Germany
| | - Rajna Hercog
- Genomics Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany
| | - James J. Goedert
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Jianxin Shi
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg and European Molecular Biology Laboratory, Heidelberg, Germany
- Max Delbrück Centre for Molecular Medicine, Berlin, Germany
- Department of Bioinformatics Biocenter, University of Würzburg, Würzburg, Germany
| | - Rashmi Sinha
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
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10
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Li SS, Zhu A, Benes V, Costea PI, Hercog R, Hildebrand F, Huerta-Cepas J, Nieuwdorp M, Salojärvi J, Voigt AY, Zeller G, Sunagawa S, de Vos WM, Bork P. Durable coexistence of donor and recipient strains after fecal microbiota transplantation. Science 2016; 352:586-9. [PMID: 27126044 DOI: 10.1126/science.aad8852] [Citation(s) in RCA: 361] [Impact Index Per Article: 45.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Accepted: 03/29/2016] [Indexed: 12/12/2022]
Abstract
Fecal microbiota transplantation (FMT) has shown efficacy in treating recurrent Clostridium difficile infection and is increasingly being applied to other gastrointestinal disorders, yet the fate of native and introduced microbial strains remains largely unknown. To quantify the extent of donor microbiota colonization, we monitored strain populations in fecal samples from a recent FMT study on metabolic syndrome patients using single-nucleotide variants in metagenomes. We found extensive coexistence of donor and recipient strains, persisting 3 months after treatment. Colonization success was greater for conspecific strains than for new species, the latter falling within fluctuation levels observed in healthy individuals over a similar time frame. Furthermore, same-donor recipients displayed varying degrees of microbiota transfer, indicating individual patterns of microbiome resistance and donor-recipient compatibilities.
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Affiliation(s)
- Simone S Li
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany. School of Biotechnology and Biomolecular Sciences, University of New South Wales, 2052 Sydney, Australia
| | - Ana Zhu
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Vladimir Benes
- Genomics Core Facility, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Paul I Costea
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Rajna Hercog
- Genomics Core Facility, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Falk Hildebrand
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Jaime Huerta-Cepas
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Max Nieuwdorp
- Department of Vascular Medicine, Academic Medical Center, 1105 AZ Amsterdam, Netherlands. Diabetes Center, Vrije University Medical Center, 1018 HV Amsterdam, Netherlands. Wallenberg Laboratory, University of Gothenburg, 41345 Gothenburg, Sweden
| | - Jarkko Salojärvi
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland. Department of Biosciences, University of Helsinki, 00014 Helsinki, Finland
| | - Anita Y Voigt
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany. Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, 69120 Heidelberg, Germany. Molecular Medicine Partnership Unit, University of Heidelberg and European Molecular Biology Laboratory, 69120 Heidelberg, Germany
| | - Georg Zeller
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Shinichi Sunagawa
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
| | - Willem M de Vos
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland. Laboratory of Microbiology, Wageningen University, 6703 HB Wageningen, Netherlands. Immunobiology Research Program, Department of Bacteriology and Immunology, University of Helsinki, 00014 Helsinki, Finland.
| | - Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany. Molecular Medicine Partnership Unit, University of Heidelberg and European Molecular Biology Laboratory, 69120 Heidelberg, Germany. Max Delbrück Centre for Molecular Medicine, 13125 Berlin, Germany. Department of Bioinformatics, Biocenter, University of Würzburg, 97074 Würzburg, Germany.
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11
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Forslund K, Hildebrand F, Nielsen T, Falony G, Le Chatelier E, Sunagawa S, Prifti E, Vieira-Silva S, Gudmundsdottir V, Pedersen HK, Arumugam M, Kristiansen K, Voigt AY, Vestergaard H, Hercog R, Costea PI, Kultima JR, Li J, Jørgensen T, Levenez F, Dore J, Nielsen HB, Brunak S, Raes J, Hansen T, Wang J, Ehrlich SD, Bork P, Pedersen O. Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota. Nature 2015; 528:262-266. [PMID: 26633628 PMCID: PMC4681099 DOI: 10.1038/nature15766] [Citation(s) in RCA: 1332] [Impact Index Per Article: 148.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Accepted: 10/05/2015] [Indexed: 12/11/2022]
Affiliation(s)
- Kristoffer Forslund
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany
| | - Falk Hildebrand
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.,Center for the Biology of Disease, VIB, Leuven, Belgium.,Department of Bioscience Engineering, Vrije Universiteit Brussel, Brussels, Belgium
| | - Trine Nielsen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gwen Falony
- Center for the Biology of Disease, VIB, Leuven, Belgium.,KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, Leuven, Belgium
| | - Emmanuelle Le Chatelier
- MICALIS, Institut National de la Recherche Agronomique, Jouy en Josas, France.,Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France
| | - Shinichi Sunagawa
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany
| | - Edi Prifti
- MICALIS, Institut National de la Recherche Agronomique, Jouy en Josas, France.,Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France.,Institute of Cardiometabolism and Nutrition, Paris, France
| | - Sara Vieira-Silva
- Center for the Biology of Disease, VIB, Leuven, Belgium.,KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, Leuven, Belgium
| | - Valborg Gudmundsdottir
- Center for Biological Sequence Analysis, Dept. of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Helle K Pedersen
- Center for Biological Sequence Analysis, Dept. of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Manimozhiyan Arumugam
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Anita Yvonne Voigt
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.,Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.,Molecular Medicine Partnership Unit , University of Heidelberg and European Molecular Biology Laboratory, Heidelberg, Germany
| | - Henrik Vestergaard
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rajna Hercog
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany
| | - Paul Igor Costea
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany
| | - Jens Roat Kultima
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany
| | | | - Torben Jørgensen
- Research Centre for Prevention and Health, Capital Region of Denmark, Copenhagen, Denmark.,Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Faculty of Medicine, University of Aalborg, Aalborg, Denmark
| | - Florence Levenez
- MICALIS, Institut National de la Recherche Agronomique, Jouy en Josas, France.,Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France
| | - Joël Dore
- MICALIS, Institut National de la Recherche Agronomique, Jouy en Josas, France.,Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France
| | | | - H Bjørn Nielsen
- Center for Biological Sequence Analysis, Dept. of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Søren Brunak
- Center for Biological Sequence Analysis, Dept. of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark.,Novo Nordisk Foundation Center for Protein Research, Disease Systems Biology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jeroen Raes
- Center for the Biology of Disease, VIB, Leuven, Belgium.,Department of Bioscience Engineering, Vrije Universiteit Brussel, Brussels, Belgium.,KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, Leuven, Belgium
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Jun Wang
- Department of Biology, University of Copenhagen, Copenhagen, Denmark.,BGI-Shenzhen, Shenzhen, China.,Princess Al Jawhara Albrahim Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia.,Macau University of Science and Technology, Avenida Wai long, Taipa, Macau, China.,Department of Medicine and State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong
| | - S Dusko Ehrlich
- MICALIS, Institut National de la Recherche Agronomique, Jouy en Josas, France.,Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France.,King's College London, Centre for Host-Microbiome Interactions, Dental Institute Central Office, Guy's Hospital, United Kingdom
| | - Peer Bork
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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12
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Zeller G, Tap J, Voigt AY, Sunagawa S, Kultima JR, Costea PI, Amiot A, Böhm J, Brunetti F, Habermann N, Hercog R, Koch M, Luciani A, Mende DR, Schneider MA, Schrotz-King P, Tournigand C, Tran Van Nhieu J, Yamada T, Zimmermann J, Benes V, Kloor M, Ulrich CM, von Knebel Doeberitz M, Sobhani I, Bork P. Potential of fecal microbiota for early-stage detection of colorectal cancer. Mol Syst Biol 2014; 10:766. [PMID: 25432777 PMCID: PMC4299606 DOI: 10.15252/msb.20145645] [Citation(s) in RCA: 710] [Impact Index Per Article: 71.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Several bacterial species have been implicated in the development of colorectal carcinoma (CRC), but CRC-associated changes of fecal microbiota and their potential for cancer screening remain to be explored. Here, we used metagenomic sequencing of fecal samples to identify taxonomic markers that distinguished CRC patients from tumor-free controls in a study population of 156 participants. Accuracy of metagenomic CRC detection was similar to the standard fecal occult blood test (FOBT) and when both approaches were combined, sensitivity improved > 45% relative to the FOBT, while maintaining its specificity. Accuracy of metagenomic CRC detection did not differ significantly between early- and late-stage cancer and could be validated in independent patient and control populations (N = 335) from different countries. CRC-associated changes in the fecal microbiome at least partially reflected microbial community composition at the tumor itself, indicating that observed gene pool differences may reveal tumor-related host-microbe interactions. Indeed, we deduced a metabolic shift from fiber degradation in controls to utilization of host carbohydrates and amino acids in CRC patients, accompanied by an increase of lipopolysaccharide metabolism.
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Affiliation(s)
- Georg Zeller
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Julien Tap
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany Department of Gastroenterology and LIC-EA4393-EC2M3, APHP and UPEC Université Paris-Est Créteil, Créteil, France
| | - Anita Y Voigt
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany Department of Applied Tumor Biology, Institute of Pathology University Hospital Heidelberg, Heidelberg, Germany Clinical Cooperation Unit Applied Tumor Biology, German Cancer Research Center (DKFZ), Heidelberg, Germany Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg and European Molecular Biology Laboratory, Heidelberg, Germany
| | - Shinichi Sunagawa
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Jens Roat Kultima
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Paul I Costea
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Aurélien Amiot
- Department of Gastroenterology and LIC-EA4393-EC2M3, APHP and UPEC Université Paris-Est Créteil, Créteil, France
| | - Jürgen Böhm
- Division of Preventive Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Francesco Brunetti
- Department of Surgery, APHP and UPEC Université Paris-Est Créteil, Créteil, France
| | - Nina Habermann
- Division of Preventive Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rajna Hercog
- Genomics Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Moritz Koch
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Alain Luciani
- Department of Radiology, APHP and UPEC Université Paris-Est Créteil, Créteil, France
| | - Daniel R Mende
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Martin A Schneider
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Petra Schrotz-King
- Division of Preventive Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christophe Tournigand
- Department of Medical Oncology, APHP and UPEC Université Paris-Est Créteil, Créteil, France
| | - Jeanne Tran Van Nhieu
- Department of Pathology and LIC-EA4393-EC2M3, APHP and UPEC Université Paris-Est Créteil, Créteil, France
| | - Takuji Yamada
- Department of Biological Information, Tokyo Institute of Technology, Tokyo, Japan
| | - Jürgen Zimmermann
- Genomics Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Vladimir Benes
- Genomics Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Matthias Kloor
- Department of Applied Tumor Biology, Institute of Pathology University Hospital Heidelberg, Heidelberg, Germany Clinical Cooperation Unit Applied Tumor Biology, German Cancer Research Center (DKFZ), Heidelberg, Germany Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg and European Molecular Biology Laboratory, Heidelberg, Germany
| | - Cornelia M Ulrich
- Division of Preventive Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany German Cancer Research Center (DKFZ), Heidelberg, Germany Fred Hutchinson Cancer Research Center (FHCRC), Seattle, WA, USA
| | - Magnus von Knebel Doeberitz
- Department of Applied Tumor Biology, Institute of Pathology University Hospital Heidelberg, Heidelberg, Germany Clinical Cooperation Unit Applied Tumor Biology, German Cancer Research Center (DKFZ), Heidelberg, Germany Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg and European Molecular Biology Laboratory, Heidelberg, Germany
| | - Iradj Sobhani
- Department of Gastroenterology and LIC-EA4393-EC2M3, APHP and UPEC Université Paris-Est Créteil, Créteil, France
| | - Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg and European Molecular Biology Laboratory, Heidelberg, Germany Max Delbrück Centre for Molecular Medicine, Berlin, Germany
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Curic G, Hercog R, Vrselja Z, Wagner J. Identification of person and quantification of human DNA recovered from mosquitoes (Culicidae). Forensic Sci Int Genet 2013; 8:109-12. [PMID: 24315597 DOI: 10.1016/j.fsigen.2013.07.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2013] [Revised: 07/20/2013] [Accepted: 07/23/2013] [Indexed: 10/26/2022]
Abstract
Mosquitoes (Culicidae) are widespread insects and can be important in forensic context as a source of human DNA. In order to establish the quantity of human DNA in mosquitoes' gut after different post-feeding interval and for how long after taking a bloodmeal the human donor could be identified, 174 blood-engorged mosquitoes (subfamily Anophelinae and Culicinae) were captured, kept alive and sacrificed at 8h intervals. Human DNA was amplified using forensic PCR kits (Identifiler, MiniFiler, and Quantifiler). A full DNA profiles were obtained from all Culicinae mosquitoes (74/74) up to 48 h and profiling was successful up to 88 h after a bloodmeal. Duration of post-feeding interval had a significant negative effect on the possibility of obtaining a full profile (p<0.001), and logistic regression found that the probability of obtaining the full profile is 15.5% less for every 8h increase in post-feeding interval. Culicinae mosquitoes are a suitable source of human DNA for forensic STR kits more than three days after a bloodmeal. Human DNA recovered from mosquito can be used for matching purposes and could be useful in revealing spatial and temporal relation of events that took place at the crime scene. Therefore, mosquitoes at the crime scene, dead or alive, could be a valuable piece of forensic evidence.
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Affiliation(s)
- Goran Curic
- Laboratory for DNA analysis, School of Medicine, J. J. Strossmayer University, Osijek, J. Huttlera 4, Croatia; Department of Pathology and Legal medicine, Clinical Hospital Centre, Osijek, J. Huttlera 4, Croatia.
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Guzikowska E, Markiewicz-Loskot G, Hercog R. [Serum opsonization activity in children with recurrent respiratory tract infections]. Pediatr Pol 1986; 61:780-3. [PMID: 3601481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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