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Ma RY, Deng ZL, Du QY, Dai MQ, Luo YY, Liang YE, Dai XZ, Guo SM, Zhao WH. Enterococcus faecalis Extracellular Vesicles Promote Apical Periodontitis. J Dent Res 2024; 103:672-682. [PMID: 38679731 DOI: 10.1177/00220345241230867] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2024] Open
Abstract
Enterococcus faecalis is an important contributor to the persistence of chronic apical periodontitis. However, the mechanism by which E. faecalis infection in the root canals and dentinal tubules affects periapical tissue remains unclear. Bacterial extracellular vesicles (EVs) act as natural carriers of microbe-associated molecular patterns (MAMPs) and have recently attracted considerable attention. In this study, we investigated the role of EVs derived from E. faecalis in the pathogenesis of apical periodontitis. We observed that E. faecalis EVs can induce inflammatory bone destruction in the periapical areas of mice. Double-labeling immunofluorescence indicated that M1 macrophage infiltration was increased by E. faecalis EVs in apical lesions. Moreover, in vitro experiments demonstrated the internalization of E. faecalis EVs into macrophages. Macrophages tended to polarize toward the M1 profile after treatment with E. faecalis EVs. Pattern recognition receptors (PRRs) can recognize MAMPs of bacterial EVs and, in turn, trigger inflammatory responses. Thus, we performed further mechanistic exploration, which showed that E. faecalis EVs considerably increased the expression of NOD2, a cytoplasmic PRR, and that inhibition of NOD2 markedly reduced macrophage M1 polarization induced by E. faecalis EVs. RIPK2 ubiquitination is a major downstream of NOD2. We also observed increased RIPK2 ubiquitination in macrophages treated with E. faecalis EVs, and E. faecalis EV-induced macrophage M1 polarization was notably alleviated by the RIPK2 ubiquitination inhibitor. Our study revealed the potential for EVs to be considered a virulence factor of E. faecalis and found that E. faecalis EVs can promote macrophage M1 polarization via NOD2/RIPK2 signaling. To our knowledge, this is the first report to investigate apical periodontitis development from the perspective of bacterial vesicles and demonstrate the role and mechanism of E. faecalis EVs in macrophage polarization. This study expands our understanding of the pathogenic mechanism of E. faecalis and provides novel insights into the pathogenesis of apical periodontitis.
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Affiliation(s)
- R Y Ma
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Z L Deng
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Q Y Du
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - M Q Dai
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Y Y Luo
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Y E Liang
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - X Z Dai
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - S M Guo
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - W H Zhao
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
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2
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Hu K, Meyer F, Deng ZL, Asgari E, Kuo TH, Münch PC, McHardy AC. Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes. Brief Bioinform 2024; 25:bbae206. [PMID: 38706320 PMCID: PMC11070729 DOI: 10.1093/bib/bbae206] [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: 11/10/2023] [Revised: 04/08/2024] [Accepted: 04/11/2024] [Indexed: 05/07/2024] Open
Abstract
The advent of rapid whole-genome sequencing has created new opportunities for computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data. Both rule-based and machine learning (ML) approaches have been explored for this task, but systematic benchmarking is still needed. Here, we evaluated four state-of-the-art ML methods (Kover, PhenotypeSeeker, Seq2Geno2Pheno and Aytan-Aktug), an ML baseline and the rule-based ResFinder by training and testing each of them across 78 species-antibiotic datasets, using a rigorous benchmarking workflow that integrates three evaluation approaches, each paired with three distinct sample splitting methods. Our analysis revealed considerable variation in the performance across techniques and datasets. Whereas ML methods generally excelled for closely related strains, ResFinder excelled for handling divergent genomes. Overall, Kover most frequently ranked top among the ML approaches, followed by PhenotypeSeeker and Seq2Geno2Pheno. AMR phenotypes for antibiotic classes such as macrolides and sulfonamides were predicted with the highest accuracies. The quality of predictions varied substantially across species-antibiotic combinations, particularly for beta-lactams; across species, resistance phenotyping of the beta-lactams compound, aztreonam, amoxicillin/clavulanic acid, cefoxitin, ceftazidime and piperacillin/tazobactam, alongside tetracyclines demonstrated more variable performance than the other benchmarked antibiotics. By organism, Campylobacter jejuni and Enterococcus faecium phenotypes were more robustly predicted than those of Escherichia coli, Staphylococcus aureus, Salmonella enterica, Neisseria gonorrhoeae, Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, Streptococcus pneumoniae and Mycobacterium tuberculosis. In addition, our study provides software recommendations for each species-antibiotic combination. It furthermore highlights the need for optimization for robust clinical applications, particularly for strains that diverge substantially from those used for training.
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Affiliation(s)
- Kaixin Hu
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Fernando Meyer
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Zhi-Luo Deng
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Ehsaneddin Asgari
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Molecular Cell Biomechanics Laboratory, Department of Bioengineering and Mechanical Engineering, University of California, Berkeley, USA
| | - Tzu-Hao Kuo
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Philipp C Münch
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), partner site Hannover Braunschweig, Braunschweig, Germany
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Alice C McHardy
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
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3
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Deng ZL, Pieper DH, Stallmach A, Steube A, Vital M, Reck M, Wagner-Döbler I. Engraftment of essential functions through multiple fecal microbiota transplants in chronic antibiotic-resistant pouchitis-a case study using metatranscriptomics. Microbiome 2023; 11:269. [PMID: 38037086 PMCID: PMC10691019 DOI: 10.1186/s40168-023-01713-9] [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] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 10/30/2023] [Indexed: 12/02/2023]
Abstract
BACKGROUND Ileal pouch-anal anastomosis (IPAA) is the standard of care after total proctocolectomy for ulcerative colitis (UC). Around 50% of patients will experience pouchitis, an idiopathic inflammatory condition. Antibiotics are the backbone of treatment of pouchitis; however, antibiotic-resistant pouchitis develops in 5-10% of those patients. It has been shown that fecal microbiota transplantation (FMT) is an effective treatment for UC, but results for FMT antibiotic-resistant pouchitis are inconsistent. METHODS To uncover which metabolic activities were transferred to the recipients during FMT and helped the remission, we performed a longitudinal case study of the gut metatranscriptomes from three patients and their donors. The patients were treated by two to three FMTs, and stool samples were analyzed for up to 140 days. RESULTS Reduced expression in pouchitis patients compared to healthy donors was observed for genes involved in biosynthesis of amino acids, cofactors, and B vitamins. An independent metatranscriptome dataset of UC patients showed a similar result. Other functions including biosynthesis of butyrate, metabolism of bile acids, and tryptophan were also much lower expressed in pouchitis. After FMT, these activities transiently increased, and the overall metatranscriptome profiles closely mirrored those of the respective donors with notable fluctuations during the subsequent weeks. The levels of the clinical marker fecal calprotectin were concordant with the metatranscriptome data. Faecalibacterium prausnitzii represented the most active species contributing to butyrate synthesis via the acetyl-CoA pathway. Remission occurred after the last FMT in all patients and was characterized by a microbiota activity profile distinct from donors in two of the patients. CONCLUSIONS Our study demonstrates the clear but short-lived activity engraftment of donor microbiota, particularly the butyrate biosynthesis after each FMT. The data suggest that FMT triggers shifts in the activity of patient microbiota towards health which need to be repeated to reach critical thresholds. As a case study, these insights warrant cautious interpretation, and validation in larger cohorts is necessary for generalized applications. In the long run, probiotics with high taxonomic diversity consisting of well characterized strains could replace FMT to avoid the costly screening of donors and the risk of transferring unwanted genetic material. Video Abstract.
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Affiliation(s)
- Zhi-Luo Deng
- Group Computational Biology for Infection Research, Helmholtz Center for Infection Research, Brunswick, Germany.
| | - Dietmar H Pieper
- Group Microbial Interactions and Processes, Helmholtz Center for Infection Research, Brunswick, Germany
| | - Andreas Stallmach
- Department of Internal Medicine IV (Gastroenterology, Hepatology, and Infectious Diseases), Jena University Hospital, Jena, Germany
| | - Arndt Steube
- Department of Internal Medicine IV (Gastroenterology, Hepatology, and Infectious Diseases), Jena University Hospital, Jena, Germany
| | - Marius Vital
- Institute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany
| | - Michael Reck
- Group Microbial Communication, Helmholtz Center for Infection Research, Brunswick, Germany
- TÜV Rheinland, Cologne, Germany
| | - Irene Wagner-Döbler
- Institute of Microbiology, Technical University of Braunschweig, Brunswick, Germany
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4
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Dougan KE, Deng ZL, Wöhlbrand L, Reuse C, Bunk B, Chen Y, Hartlich J, Hiller K, John U, Kalvelage J, Mansky J, Neumann-Schaal M, Overmann J, Petersen J, Sanchez-Garcia S, Schmidt-Hohagen K, Shah S, Spröer C, Sztajer H, Wang H, Bhattacharya D, Rabus R, Jahn D, Chan CX, Wagner-Döbler I. Multi-omics analysis reveals the molecular response to heat stress in a "red tide" dinoflagellate. Genome Biol 2023; 24:265. [PMID: 37996937 PMCID: PMC10666404 DOI: 10.1186/s13059-023-03107-4] [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: 12/14/2022] [Accepted: 11/10/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND "Red tides" are harmful algal blooms caused by dinoflagellate microalgae that accumulate toxins lethal to other organisms, including humans via consumption of contaminated seafood. These algal blooms are driven by a combination of environmental factors including nutrient enrichment, particularly in warm waters, and are increasingly frequent. The molecular, regulatory, and evolutionary mechanisms that underlie the heat stress response in these harmful bloom-forming algal species remain little understood, due in part to the limited genomic resources from dinoflagellates, complicated by the large sizes of genomes, exhibiting features atypical of eukaryotes. RESULTS We present the de novo assembled genome (~ 4.75 Gbp with 85,849 protein-coding genes), transcriptome, proteome, and metabolome from Prorocentrum cordatum, a globally abundant, bloom-forming dinoflagellate. Using axenic algal cultures, we study the molecular mechanisms that underpin the algal response to heat stress, which is relevant to current ocean warming trends. We present the first evidence of a complementary interplay between RNA editing and exon usage that regulates the expression and functional diversity of biomolecules, reflected by reduction in photosynthesis, central metabolism, and protein synthesis. These results reveal genomic signatures and post-transcriptional regulation for the first time in a pelagic dinoflagellate. CONCLUSIONS Our multi-omics analyses uncover the molecular response to heat stress in an important bloom-forming algal species, which is driven by complex gene structures in a large, high-G+C genome, combined with multi-level transcriptional regulation. The dynamics and interplay of molecular regulatory mechanisms may explain in part how dinoflagellates diversified to become some of the most ecologically successful organisms on Earth.
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Affiliation(s)
- Katherine E Dougan
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Zhi-Luo Deng
- Helmholtz-Center for Infection Research (HZI), Inhoffenstraße 7, Braunschweig, 38124, Germany
| | - Lars Wöhlbrand
- Institute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky University of Oldenburg, 26129, Oldenburg, Germany
| | - Carsten Reuse
- Braunschweig Center for Systems Biology (BRICS), Technische Universität Braunschweig, Rebenring 56, 38106, Brunswick, Germany
| | - Boyke Bunk
- German Culture Collection for Microorganisms and Cell Cultures (DSMZ), Inhoffenstraße 7B, 38124, Braunschweig, Germany
| | - Yibi Chen
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Juliane Hartlich
- Braunschweig Center for Systems Biology (BRICS), Technische Universität Braunschweig, Rebenring 56, 38106, Brunswick, Germany
| | - Karsten Hiller
- Braunschweig Center for Systems Biology (BRICS), Technische Universität Braunschweig, Rebenring 56, 38106, Brunswick, Germany
| | - Uwe John
- Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Am Handelshafen 12, 27570, Bremerhaven, Germany
- Helmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB), Ammerländer Heerstraße 231, 26129, Oldenburg, Germany
| | - Jana Kalvelage
- Institute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky University of Oldenburg, 26129, Oldenburg, Germany
| | - Johannes Mansky
- Braunschweig Center for Systems Biology (BRICS), Technische Universität Braunschweig, Rebenring 56, 38106, Brunswick, Germany
| | - Meina Neumann-Schaal
- German Culture Collection for Microorganisms and Cell Cultures (DSMZ), Inhoffenstraße 7B, 38124, Braunschweig, Germany
| | - Jörg Overmann
- German Culture Collection for Microorganisms and Cell Cultures (DSMZ), Inhoffenstraße 7B, 38124, Braunschweig, Germany
| | - Jörn Petersen
- German Culture Collection for Microorganisms and Cell Cultures (DSMZ), Inhoffenstraße 7B, 38124, Braunschweig, Germany
| | - Selene Sanchez-Garcia
- Braunschweig Center for Systems Biology (BRICS), Technische Universität Braunschweig, Rebenring 56, 38106, Brunswick, Germany
| | - Kerstin Schmidt-Hohagen
- Braunschweig Center for Systems Biology (BRICS), Technische Universität Braunschweig, Rebenring 56, 38106, Brunswick, Germany
| | - Sarah Shah
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Cathrin Spröer
- German Culture Collection for Microorganisms and Cell Cultures (DSMZ), Inhoffenstraße 7B, 38124, Braunschweig, Germany
| | - Helena Sztajer
- Braunschweig Center for Systems Biology (BRICS), Technische Universität Braunschweig, Rebenring 56, 38106, Brunswick, Germany
| | - Hui Wang
- Braunschweig Center for Systems Biology (BRICS), Technische Universität Braunschweig, Rebenring 56, 38106, Brunswick, Germany
| | - Debashish Bhattacharya
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ, 08901, USA
| | - Ralf Rabus
- Institute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky University of Oldenburg, 26129, Oldenburg, Germany
| | - Dieter Jahn
- Braunschweig Center for Systems Biology (BRICS), Technische Universität Braunschweig, Rebenring 56, 38106, Brunswick, Germany
| | - Cheong Xin Chan
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, 4072, Australia.
| | - Irene Wagner-Döbler
- Braunschweig Center for Systems Biology (BRICS), Technische Universität Braunschweig, Rebenring 56, 38106, Brunswick, Germany.
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5
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Meyer F, Fritz A, Deng ZL, Koslicki D, Lesker TR, Gurevich A, Robertson G, Alser M, Antipov D, Beghini F, Bertrand D, Brito JJ, Brown CT, Buchmann J, Buluç A, Chen B, Chikhi R, Clausen PTLC, Cristian A, Dabrowski PW, Darling AE, Egan R, Eskin E, Georganas E, Goltsman E, Gray MA, Hansen LH, Hofmeyr S, Huang P, Irber L, Jia H, Jørgensen TS, Kieser SD, Klemetsen T, Kola A, Kolmogorov M, Korobeynikov A, Kwan J, LaPierre N, Lemaitre C, Li C, Limasset A, Malcher-Miranda F, Mangul S, Marcelino VR, Marchet C, Marijon P, Meleshko D, Mende DR, Milanese A, Nagarajan N, Nissen J, Nurk S, Oliker L, Paoli L, Peterlongo P, Piro VC, Porter JS, Rasmussen S, Rees ER, Reinert K, Renard B, Robertsen EM, Rosen GL, Ruscheweyh HJ, Sarwal V, Segata N, Seiler E, Shi L, Sun F, Sunagawa S, Sørensen SJ, Thomas A, Tong C, Trajkovski M, Tremblay J, Uritskiy G, Vicedomini R, Wang Z, Wang Z, Wang Z, Warren A, Willassen NP, Yelick K, You R, Zeller G, Zhao Z, Zhu S, Zhu J, Garrido-Oter R, Gastmeier P, Hacquard S, Häußler S, Khaledi A, Maechler F, Mesny F, Radutoiu S, Schulze-Lefert P, Smit N, Strowig T, Bremges A, Sczyrba A, McHardy AC. Critical Assessment of Metagenome Interpretation: the second round of challenges. Nat Methods 2022; 19:429-440. [PMID: 35396482 PMCID: PMC9007738 DOI: 10.1038/s41592-022-01431-4] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 02/14/2022] [Indexed: 12/20/2022]
Abstract
Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II challenge engaged the community to assess methods on realistic and complex datasets with long- and short-read sequences, created computationally from around 1,700 new and known genomes, as well as 600 new plasmids and viruses. Here we analyze 5,002 results by 76 program versions. Substantial improvements were seen in assembly, some due to long-read data. Related strains still were challenging for assembly and genome recovery through binning, as was assembly quality for the latter. Profilers markedly matured, with taxon profilers and binners excelling at higher bacterial ranks, but underperforming for viruses and Archaea. Clinical pathogen detection results revealed a need to improve reproducibility. Runtime and memory usage analyses identified efficient programs, including top performers with other metrics. The results identify challenges and guide researchers in selecting methods for analyses. This study presents the results of the second round of the Critical Assessment of Metagenome Interpretation challenges (CAMI II), which is a community-driven effort for comprehensively benchmarking tools for metagenomics data analysis.
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Affiliation(s)
- Fernando Meyer
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Adrian Fritz
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany.,German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany
| | - Zhi-Luo Deng
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany.,Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
| | | | - Till Robin Lesker
- German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany.,Helmholtz Centre for Infection Research, Braunschweig, Germany
| | | | - Gary Robertson
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Mohammed Alser
- Department of Information Technology and Electrical Engineering, ETH Zürich, Zurich, Switzerland
| | - Dmitry Antipov
- Center for Algorithmic Biotechnology, Saint Petersburg State University, Saint Petersburg, Russia
| | | | | | | | | | - Jan Buchmann
- Institute for Biological Data Science, Heinrich-Heine-University, Düsseldorf, Germany
| | - Aydin Buluç
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,University of California, Berkeley, Berkeley, CA, USA
| | - Bo Chen
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,University of California, Berkeley, Berkeley, CA, USA
| | | | - Philip T L C Clausen
- National Food Institute, Division of Global Surveillance, Technical University of Denmark, Lyngby, Denmark
| | - Alexandru Cristian
- Drexel University, Philadelphia, PA, USA.,Google Inc., Philadelphia, PA, USA
| | - Piotr Wojciech Dabrowski
- Robert Koch-Institut, Berlin, Germany.,Hochschule für Technik und Wirtschaft Berlin, Berlin, Germany
| | | | - Rob Egan
- DOE Joint Genome Institute, Berkeley, CA, USA.,Lawrence Berkeley National Laboratories, Berkeley, CA, USA
| | - Eleazar Eskin
- University of California, Los Angeles, Los Angeles, CA, USA
| | | | - Eugene Goltsman
- DOE Joint Genome Institute, Berkeley, CA, USA.,Lawrence Berkeley National Laboratories, Berkeley, CA, USA
| | - Melissa A Gray
- Drexel University, Philadelphia, PA, USA.,Ecological and Evolutionary Signal-Processing and Informatics Laboratory, Philadelphia, PA, USA
| | - Lars Hestbjerg Hansen
- University of Copenhagen, Department of Plant and Environmental Science, Frederiksberg, Denmark
| | - Steven Hofmeyr
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,University of California, Berkeley, Berkeley, CA, USA
| | - Pingqin Huang
- School of Computer Science, Fudan University, Shanghai, China
| | - Luiz Irber
- University of California, Davis, Davis, CA, USA
| | - Huijue Jia
- BGI-Shenzhen, Shenzhen, China.,Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen, China
| | - Tue Sparholt Jørgensen
- Technical University of Denmark, Novo Nordisk Foundation Center for Biosustainability, Lyngby, Denmark.,Aarhus University, Department of Environmental Science, Roskilde, Denmark
| | - Silas D Kieser
- Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Swiss Institute of Bioinformatics, Geneva, Switzerland
| | | | - Axel Kola
- Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Mikhail Kolmogorov
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Anton Korobeynikov
- Center for Algorithmic Biotechnology, Saint Petersburg State University, Saint Petersburg, Russia.,Department of Statistical Modelling, Saint Petersburg State University, Saint Petersburg, Russia
| | - Jason Kwan
- University of Wisconsin-Madison, Madison, WI, USA
| | | | | | - Chenhao Li
- Genome Institute of Singapore, Singapore, Singapore
| | | | - Fabio Malcher-Miranda
- Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany
| | | | - Vanessa R Marcelino
- Sydney Medical School, The University of Sydney, Sydney, Australia.,Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, Australia
| | | | - Pierre Marijon
- Department of Computer Science, Inria, University of Lille, CNRS, Lille, France
| | - Dmitry Meleshko
- Center for Algorithmic Biotechnology, Saint Petersburg State University, Saint Petersburg, Russia
| | - Daniel R Mende
- Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Alessio Milanese
- Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland.,Structural and Computational Biology Unit, EMBL, Heidelberg, Germany
| | - Niranjan Nagarajan
- Genome Institute of Singapore, A*STAR, Singapore, Singapore.,National University of Singapore, Singapore, Singapore
| | | | - Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Leonid Oliker
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,University of California, Berkeley, Berkeley, CA, USA
| | - Lucas Paoli
- Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland
| | | | - Vitor C Piro
- Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany
| | | | - Simon Rasmussen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Evan R Rees
- University of Wisconsin-Madison, Madison, WI, USA
| | - Knut Reinert
- Institute for Bioinformatics, FU Berlin, Berlin, Germany
| | - Bernhard Renard
- Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany.,Bioinformatics Unit (MF1), Robert Koch Institute, Berlin, Germany
| | | | - Gail L Rosen
- Drexel University, Philadelphia, PA, USA.,Ecological and Evolutionary Signal-Processing and Informatics Laboratory, Philadelphia, PA, USA.,Center for Biological Discovery from Big Data, Philadelphia, PA, USA
| | - Hans-Joachim Ruscheweyh
- Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland
| | - Varuni Sarwal
- University of California, Los Angeles, Los Angeles, CA, USA
| | - Nicola Segata
- Department CIBIO, University of Trento, Trento, Italy
| | - Enrico Seiler
- Institute for Bioinformatics, FU Berlin, Berlin, Germany
| | - Lizhen Shi
- Florida Polytechnic University, Lakeland, FL, USA
| | - Fengzhu Sun
- Quantitative and Computational Biology Department, University of Southern California, Los Angeles, CA, USA
| | - Shinichi Sunagawa
- Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland
| | | | - Ashleigh Thomas
- DOE Joint Genome Institute, Berkeley, CA, USA.,University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Mirko Trajkovski
- Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Julien Tremblay
- Energy, Mining and Environment, National Research Council Canada, Montreal, Quebec, Canada
| | | | | | - Zhengyang Wang
- School of Computer Science, Fudan University, Shanghai, China
| | - Ziye Wang
- School of Mathematical Sciences, Fudan University, Shanghai, China
| | - Zhong Wang
- Department of Energy Joint Genome Institute, Berkeley, CA, USA.,Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,School of Natural Sciences, University of California at Merced, Merced, CA, USA
| | | | | | - Katherine Yelick
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,University of California, Berkeley, Berkeley, CA, USA
| | - Ronghui You
- School of Computer Science, Fudan University, Shanghai, China
| | - Georg Zeller
- Structural and Computational Biology Unit, EMBL, Heidelberg, Germany
| | | | - Shanfeng Zhu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Jie Zhu
- BGI-Shenzhen, Shenzhen, China.,Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen, China
| | | | | | | | - Susanne Häußler
- Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Ariane Khaledi
- Helmholtz Centre for Infection Research, Braunschweig, Germany
| | | | - Fantin Mesny
- Max Planck Institute for Plant Breeding Research, Köln, Germany
| | | | | | - Nathiana Smit
- Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Till Strowig
- Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Andreas Bremges
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.,German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany
| | - Alexander Sczyrba
- Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany
| | - Alice Carolyn McHardy
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany. .,Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany. .,German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany. .,Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany.
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6
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Deng ZL, Münch PC, Mreches R, McHardy AC. Rapid and accurate identification of ribosomal RNA sequences via deep learning. Nucleic Acids Res 2022; 50:e60. [PMID: 35188571 PMCID: PMC9177968 DOI: 10.1093/nar/gkac112] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 01/28/2022] [Accepted: 02/07/2022] [Indexed: 11/14/2022] Open
Abstract
Advances in transcriptomic and translatomic techniques enable in-depth studies of RNA activity profiles and RNA-based regulatory mechanisms. Ribosomal RNA (rRNA) sequences are highly abundant among cellular RNA, but if the target sequences do not include polyadenylation, these cannot be easily removed in library preparation, requiring their post-hoc removal with computational techniques to accelerate and improve downstream analyses. Here, we describe RiboDetector, a novel software based on a Bi-directional Long Short-Term Memory (BiLSTM) neural network, which rapidly and accurately identifies rRNA reads from transcriptomic, metagenomic, metatranscriptomic, noncoding RNA, and ribosome profiling sequence data. Compared with state-of-the-art approaches, RiboDetector produced at least six times fewer misclassifications on the benchmark datasets. Importantly, the few false positives of RiboDetector were not enriched in certain Gene Ontology (GO) terms, suggesting a low bias for downstream functional profiling. RiboDetector also demonstrated a remarkable generalizability for detecting novel rRNA sequences that are divergent from the training data with sequence identities of <90%. On a personal computer, RiboDetector processed 40M reads in less than 6 min, which was ∼50 times faster in GPU mode and ∼15 times in CPU mode than other methods. RiboDetector is available under a GPL v3.0 license at https://github.com/hzi-bifo/RiboDetector.
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Affiliation(s)
- Zhi-Luo Deng
- Department for Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Philipp C Münch
- Department for Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - René Mreches
- Department for Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Alice C McHardy
- Department for Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
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7
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Fritz A, Bremges A, Deng ZL, Lesker TR, Götting J, Ganzenmueller T, Sczyrba A, Dilthey A, Klawonn F, McHardy AC. Haploflow: strain-resolved de novo assembly of viral genomes. Genome Biol 2021; 22:212. [PMID: 34281604 PMCID: PMC8287296 DOI: 10.1186/s13059-021-02426-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [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: 07/03/2020] [Accepted: 06/29/2021] [Indexed: 01/03/2023] Open
Abstract
AbstractWith viral infections, multiple related viral strains are often present due to coinfection or within-host evolution. We describe Haploflow, a deBruijn graph-based assembler for de novo genome assembly of viral strains from mixed sequence samples using a novel flow algorithm. We assess Haploflow across multiple benchmark data sets of increasing complexity, showing that Haploflow is faster and more accurate than viral haplotype assemblers and generic metagenome assemblers not aiming to reconstruct strains. We show Haploflow reconstructs viral strain genomes from patient HCMV samples and SARS-CoV-2 wastewater samples identical to clinical isolates.
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Affiliation(s)
- Adrian Fritz
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
- German Centre for Infection Research (DZIF), Site Hannover-Braunschweig, Braunschweig, Germany
| | - Andreas Bremges
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
- German Centre for Infection Research (DZIF), Site Hannover-Braunschweig, Braunschweig, Germany
| | - Zhi-Luo Deng
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Till Robin Lesker
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
- German Centre for Infection Research (DZIF), Site Hannover-Braunschweig, Braunschweig, Germany
| | - Jasper Götting
- German Centre for Infection Research (DZIF), Site Hannover-Braunschweig, Braunschweig, Germany
- Institute of Virology, Hannover Medical School, Hannover, Germany
| | - Tina Ganzenmueller
- German Centre for Infection Research (DZIF), Site Hannover-Braunschweig, Braunschweig, Germany
- Institute of Virology, Hannover Medical School, Hannover, Germany
- Institute for Medical Virology, University Hospital Tuebingen, Tuebingen, Germany
| | - Alexander Sczyrba
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
- Faculty of Technology and Center for Biotechnology, Bielefeld University, Bielefeld, Germany
| | - Alexander Dilthey
- Institute of Medical Microbiology and Hospital Hygiene, University Hospital, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, 20892, USA
| | - Frank Klawonn
- Department of Computer Science, Ostfalia University of Applied Sciences, Wolfenbuettel, Germany
- Biostatistics Group, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Alice Carolyn McHardy
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.
- German Centre for Infection Research (DZIF), Site Hannover-Braunschweig, Braunschweig, Germany.
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8
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Deng ZL, Dhingra A, Fritz A, Götting J, Münch PC, Steinbrück L, Schulz TF, Ganzenmüller T, McHardy AC. Evaluating assembly and variant calling software for strain-resolved analysis of large DNA viruses. Brief Bioinform 2020; 22:5868070. [PMID: 34020538 PMCID: PMC8138829 DOI: 10.1093/bib/bbaa123] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 05/18/2020] [Accepted: 05/19/2020] [Indexed: 02/06/2023] Open
Abstract
Infection with human cytomegalovirus (HCMV) can cause severe complications in immunocompromised individuals and congenitally infected children. Characterizing heterogeneous viral populations and their evolution by high-throughput sequencing of clinical specimens requires the accurate assembly of individual strains or sequence variants and suitable variant calling methods. However, the performance of most methods has not been assessed for populations composed of low divergent viral strains with large genomes, such as HCMV. In an extensive benchmarking study, we evaluated 15 assemblers and 6 variant callers on 10 lab-generated benchmark data sets created with two different library preparation protocols, to identify best practices and challenges for analyzing such data. Most assemblers, especially metaSPAdes and IVA, performed well across a range of metrics in recovering abundant strains. However, only one, Savage, recovered low abundant strains and in a highly fragmented manner. Two variant callers, LoFreq and VarScan2, excelled across all strain abundances. Both shared a large fraction of false positive variant calls, which were strongly enriched in T to G changes in a 'G.G' context. The magnitude of this context-dependent systematic error is linked to the experimental protocol. We provide all benchmarking data, results and the entire benchmarking workflow named QuasiModo, Quasispecies Metric determination on omics, under the GNU General Public License v3.0 (https://github.com/hzi-bifo/Quasimodo), to enable full reproducibility and further benchmarking on these and other data.
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Affiliation(s)
- Zhi-Luo Deng
- Department Computational Biology of Infection Research of the Helmholtz Centre for Infection Research
| | | | - Adrian Fritz
- Department Computational Biology of Infection Research of the Helmholtz Centre for Infection Research
| | | | - Philipp C Münch
- Department Computational Biology of Infection Research of the Helmholtz Centre for Infection Research and Max von Pettenkofer Institute in Ludwig Maximilian University of Munich
| | | | | | | | - Alice C McHardy
- Department Computational Biology of Infection Research of the Helmholtz Centre for Infection Research
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9
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Conrads G, Wendt LK, Hetrodt F, Deng ZL, Pieper D, Abdelbary MMH, Barg A, Wagner-Döbler I, Apel C. Deep sequencing of biofilm microbiomes on dental composite materials. J Oral Microbiol 2019; 11:1617013. [PMID: 31143408 PMCID: PMC6522937 DOI: 10.1080/20002297.2019.1617013] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [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: 10/02/2018] [Revised: 04/16/2019] [Accepted: 05/06/2019] [Indexed: 12/31/2022] Open
Abstract
Background: The microbiome on dental composites has not been studied in detail before. It has not been conclusively clarified whether restorative materials influence the oral microbiome. Methods: We used Illumina Miseq next-generation sequencing of the 16S V1-V2 region to compare the colonisation patterns of bovine enamel (BE) and the composite materials Grandio Flow (GF) and Grandio Blocs (GB) after 48 h in vivo in 14 volunteers. Applying a new method to maintain the oral microbiome ex vivo for 48 h also, we compared the microbiome on GF alone and with the new antimicrobial substance carolacton (GF+C). Results: All in vitro biofilm communities showed a higher diversity and richness than those grown in vivo but the very different atmospheric conditions must be considered. Contrary to expectations, there were only a few significant differences between BE and the composite materials GB and GF either in vivo or in vitro: Oribacterium, Peptostreptococcaceae [XI][G-1] and Streptococcus mutans were more prevalent and Megasphaera, Prevotella oulorum, Veillonella atypica, V. parvula, Gemella morbillorum, and Fusobacterium periodonticum were less prevalent on BE than on composites. In vivo, such preferences were only significant for Granulicatella adiacens (more prevalent on BE) and Fusobacterium nucleatum subsp. animalis (more prevalent on composites). On DNA sequence level, there were no significant differences between the biofilm communities on GF and GF+C. Conclusion: We found that the oral microbiome showed an increased richness when grown on various composites compared to BE in vitro, but otherwise changed only slightly independent of the in vivo or in vitro condition. Our new ex vivo biofilm model might be useful for pre-clinical testing of preventive strategies.
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Affiliation(s)
- Georg Conrads
- Division of Oral Microbiology and Immunology, Department of Operative and Preventive Dentistry & Periodontology, RWTH Aachen University Hospital, Aachen, Germany
| | - Laura Katharina Wendt
- Division of Oral Microbiology and Immunology, Department of Operative and Preventive Dentistry & Periodontology, RWTH Aachen University Hospital, Aachen, Germany
| | - Franziska Hetrodt
- Division of Oral Microbiology and Immunology, Department of Operative and Preventive Dentistry & Periodontology, RWTH Aachen University Hospital, Aachen, Germany.,Department of Biohybrid & Medical Textiles, Institute of Applied Medical Engineering, RWTH Aachen University, Aachen, Germany
| | - Zhi-Luo Deng
- Group Microbial Communication, Helmholtz Center for Infection Research (HZI), Braunschweig, Germany
| | - Dietmar Pieper
- Group Microbial Interactions and Processes, Helmholtz Center for Infection Research (HZI), Braunschweig, Germany
| | - Mohamed M H Abdelbary
- Division of Oral Microbiology and Immunology, Department of Operative and Preventive Dentistry & Periodontology, RWTH Aachen University Hospital, Aachen, Germany
| | | | - Irene Wagner-Döbler
- Group Microbial Communication, Helmholtz Center for Infection Research (HZI), Braunschweig, Germany
| | - Christian Apel
- Department of Biohybrid & Medical Textiles, Institute of Applied Medical Engineering, RWTH Aachen University, Aachen, Germany
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10
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Deng ZL, Sztajer H, Jarek M, Bhuju S, Wagner-Döbler I. Worlds Apart - Transcriptome Profiles of Key Oral Microbes in the Periodontal Pocket Compared to Single Laboratory Culture Reflect Synergistic Interactions. Front Microbiol 2018; 9:124. [PMID: 29467738 PMCID: PMC5807917 DOI: 10.3389/fmicb.2018.00124] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [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: 10/17/2017] [Accepted: 01/18/2018] [Indexed: 12/28/2022] Open
Abstract
Periodontitis is a worldwide prevalent oral disease which results from dysbiosis of the periodontal microbiome. Some of the most active microbial players, e.g., Porphyromonas gingivalis, Treponema denticola, and Fusobacterium nucleatum, have extensively been studied in the laboratory, but it is unclear to which extend these findings can be transferred to in vivo conditions. Here we show that the transcriptional profiles of P. gingivalis, T. denticola, and F. nucleatum in the periodontal niche are distinct from those in single laboratory culture and exhibit functional similarities. GO (gene ontology) term enrichment analysis showed up-regulation of transporters, pathogenicity related traits and hemin/heme uptake mechanisms for all three species in vivo. Differential gene expression analysis revealed that cysteine proteases, transporters and hemin/heme-binding proteins were highly up-regulated in the periodontal niche, while genes involved in DNA modification were down-regulated. The data suggest strong interactions between those three species regarding protein degradation, iron up-take, and mobility in vivo, explaining their enhanced synergistic pathogenicity. We discovered a strikingly high frequency of Single Nucleotide Polymorphisms (SNPs) in vivo. For F. nucleatum we discovered a total of 127,729 SNPs in periodontal niche transcripts, which were found in similar frequency in health and disease and covered the entire genome, suggesting continuous evolution in the host. We conclude that metabolic interactions shape gene expression in vivo. Great caution is required when inferring pathogenicity of microbes from laboratory data, and microdiversity is an important adaptive trait of natural communities.
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Affiliation(s)
- Zhi-Luo Deng
- Research Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Helena Sztajer
- Research Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Michael Jarek
- Genome Analytics, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Sabin Bhuju
- Genome Analytics, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Irene Wagner-Döbler
- Research Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
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11
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Gottschick C, Deng ZL, Vital M, Masur C, Abels C, Pieper DH, Rohde M, Mendling W, Wagner-Döbler I. Treatment of biofilms in bacterial vaginosis by an amphoteric tenside pessary-clinical study and microbiota analysis. Microbiome 2017; 5:119. [PMID: 28903767 PMCID: PMC5598074 DOI: 10.1186/s40168-017-0326-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 07/18/2017] [Indexed: 05/03/2023]
Abstract
BACKGROUND Bacterial vaginosis (BV) is the most common vaginal syndrome among women in their reproductive years. It is associated with an increased risk of acquiring sexually transmitted infections and complications like preterm labor. BV is characterized by a high recurrence rate for which biofilms frequently found on vaginal epithelial cells may be a reason. RESULTS Here, we report a controlled randomized clinical trial that tested the safety and effectiveness of a newly developed pessary containing an amphoteric tenside (WO3191) to disrupt biofilms after metronidazole treatment of BV. Pessaries containing lactic acid were provided to the control group, and microbial community composition was determined via Illumina sequencing of the V1-V2 region of the 16S rRNA gene. The most common community state type (CST) in healthy women was characterized by Lactobacillus crispatus. In BV, diversity was high with communities dominated by either Lactobacillus iners, Prevotella bivia, Sneathia amnii, or Prevotella amnii. Women with BV and proven biofilms had an increased abundance of Sneathia sanguinegens and a decreased abundance of Gardnerella vaginalis. Following metronidazole treatment, clinical symptoms cleared, Nugent score shifted to Lactobacillus dominance, biofilms disappeared, and diversity (Shannon index) was reduced in most women. Most of the patients responding to therapy exhibited a L. iners CST. Treatment with WO 3191 reduced biofilms but did not prevent recurrence. Women with high diversity after antibiotic treatment were more likely to develop recurrence. CONCLUSIONS Stabilizing the low diversity healthy flora by promoting growth of health-associated Lactobacillus sp. such as L. crispatus may be beneficial for long-term female health. TRIAL REGISTRATION ClinicalTrials.gov NCT02687789.
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Affiliation(s)
- Cornelia Gottschick
- Research Group Microbial Communication, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany
| | - Zhi-Luo Deng
- Research Group Microbial Communication, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany
| | - Marius Vital
- Research Group Microbial Interactions and Processes, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany
| | - Clarissa Masur
- Dr. August Wolff GmbH & Co. KG Arzneimittel, Sudbrackstrasse 56, 33611 Bielefeld, Germany
| | - Christoph Abels
- Dr. August Wolff GmbH & Co. KG Arzneimittel, Sudbrackstrasse 56, 33611 Bielefeld, Germany
| | - Dietmar H. Pieper
- Research Group Microbial Interactions and Processes, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany
| | - Manfred Rohde
- Central Facility for Microscopy, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany
| | - Werner Mendling
- German Center for Infections in Gynecology and Obstetrics, Wuppertal, Germany
| | - Irene Wagner-Döbler
- Research Group Microbial Communication, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany
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12
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Gottschick C, Deng ZL, Vital M, Masur C, Abels C, Pieper DH, Wagner-Döbler I. The urinary microbiota of men and women and its changes in women during bacterial vaginosis and antibiotic treatment. Microbiome 2017; 5:99. [PMID: 28807017 PMCID: PMC5554977 DOI: 10.1186/s40168-017-0305-3] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Accepted: 07/12/2017] [Indexed: 05/09/2023]
Abstract
BACKGROUND The urinary microbiota is similarly complex as the vaginal and penile microbiota, yet its role as a reservoir for pathogens and for recurrent polymicrobial biofilm diseases like bacterial vaginosis (BV) is not clear. RESULTS Here, we analysed the urinary microbiota of healthy men and women and compared it with that of women during BV and after antibiotic treatment using next-generation sequencing of the 16S rRNA gene V1-V2 regions. Eight different community types, so called urotypes (UT), were identified in healthy humans, all of which were shared between men and women, except UT 7, dominated in relative abundance by Lactobacillus crispatus, which was found in healthy women only. Orally applied metronidazole significantly reduced Shannon diversity and the mean relative abundance of Gardnerella vaginalis, Atopobium vaginae, and Sneathia amnii, while L. iners increased to levels twofold higher than those found in healthy women. Although individual urine microbial profiles strongly responded to the antibiotic, the healthy community could not be restored. The correlation between urinary and vaginal fluid microbiota was generally weak and depending on UT and BV status. It was highest in UT 1 in acute BV (59% of samples), but after metronidazole treatment, only 3 out of 35 women showed a significant correlation between their urinary and vaginal microbiota composition. CONCLUSIONS Urethra and bladder thus harbor microbial communities distinct from the vagina. The high abundance of BV related species in the urine of both men and women suggests that urine may act as a reservoir of pathogens and contribute to recurrence. TRIAL REGISTRATION ClinicalTrials.gov, NCT02687789.
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Affiliation(s)
- Cornelia Gottschick
- Research Group Microbial Communication, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany
| | - Zhi-Luo Deng
- Research Group Microbial Communication, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany
| | - Marius Vital
- Microbial Interactions and Processes Research Group, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany
| | - Clarissa Masur
- Dr. August Wolff GmbH & Co. KG Arzneimittel, Sudbrackstrasse 56, 33611 Bielefeld, Germany
| | - Christoph Abels
- Dr. August Wolff GmbH & Co. KG Arzneimittel, Sudbrackstrasse 56, 33611 Bielefeld, Germany
| | - Dietmar H. Pieper
- Microbial Interactions and Processes Research Group, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany
| | - Irene Wagner-Döbler
- Research Group Microbial Communication, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany
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13
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Cao R, Deng ZL, Ma YH, Chen XL. Effect of EVA on thermal stability, flammability, mechanical properties of HDPE/EVA/Mg(OH)2 composites. ACTA ACUST UNITED AC 2017. [DOI: 10.1088/1757-899x/213/1/012002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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14
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Pan J, Yang JF, Deng BP, Zhao XJ, Zhang X, Lin YH, Wu YN, Deng ZL, Zhang YL, Liu SH, Wu T, Lu PH, Lu DP, Chang AH, Tong CR. High efficacy and safety of low-dose CD19-directed CAR-T cell therapy in 51 refractory or relapsed B acute lymphoblastic leukemia patients. Leukemia 2017; 31:2587-2593. [DOI: 10.1038/leu.2017.145] [Citation(s) in RCA: 145] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 04/25/2017] [Accepted: 05/04/2017] [Indexed: 12/18/2022]
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15
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Szafrański SP, Deng ZL, Tomasch J, Jarek M, Bhuju S, Rohde M, Sztajer H, Wagner-Döbler I. Quorum sensing of Streptococcus mutans is activated by Aggregatibacter actinomycetemcomitans and by the periodontal microbiome. BMC Genomics 2017; 18:238. [PMID: 28320314 PMCID: PMC5359896 DOI: 10.1186/s12864-017-3618-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Accepted: 03/10/2017] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The oral cavity is inhabited by complex microbial communities forming biofilms that can cause caries and periodontitis. Cell-cell communication might play an important role in modulating the physiologies of individual species, but evidence so far is limited. RESULTS Here we demonstrate that a pathogen of the oral cavity, Aggregatibacter actinomycetemcomitans (A. act.), triggers expression of the quorum sensing (QS) regulon of Streptococcus mutans, a well-studied model organism for cariogenic streptococci, in dual-species biofilms grown on artificial saliva. The gene for the synthesis of the QS signal XIP is essential for this interaction. Transcriptome sequencing of biofilms revealed that S. mutans up-regulated the complete QS regulon (transformasome and mutacins) in the presence of A. act. and down-regulated oxidative stress related genes. A.act. required the presence of S. mutans for growth. Fimbriae and toxins were its most highly expressed genes and up-regulation of anaerobic metabolism, chaperones and iron acquisition genes was observed in co-culture. Metatranscriptomes from periodontal pockets showed highly variable levels of S. mutans and low levels of A. act.. Transcripts of the alternative sigma-factor SigX, the key regulator of QS in S. mutans, were significantly enriched in periodontal pockets compared to single cultures (log2 4.159, FDR ≤0.001, and expression of mutacin related genes and transformasome components could be detected. CONCLUSION The data show that the complete QS regulon of S. mutans can be induced by an unrelated oral pathogen and S. mutans may be competent in oral biofilms in vivo.
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Affiliation(s)
- Szymon P Szafrański
- Microbial Communication, Helmholtz-Center for Infection Research, Braunschweig, Germany.,Present address: Hannover Medical School (MHH), Hannover, Germany
| | - Zhi-Luo Deng
- Microbial Communication, Helmholtz-Center for Infection Research, Braunschweig, Germany
| | - Jürgen Tomasch
- Microbial Communication, Helmholtz-Center for Infection Research, Braunschweig, Germany
| | - Michael Jarek
- Genome Analytics, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Sabin Bhuju
- Genome Analytics, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Manfred Rohde
- Central Facility for Microscopy, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Helena Sztajer
- Microbial Communication, Helmholtz-Center for Infection Research, Braunschweig, Germany
| | - Irene Wagner-Döbler
- Microbial Communication, Helmholtz-Center for Infection Research, Braunschweig, Germany.
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Deng ZL, Liang MN, Li HH, Zhu ZJ. Advances in preparation of modified activated carbon and its applications in the removal of chromium (VI) from aqueous solutions. ACTA ACUST UNITED AC 2016. [DOI: 10.1088/1755-1315/39/1/012065] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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Xie YY, Deng ZL, Zhang S. [Cimetidine in the treatment of recurrent acute intermittent porphyria: a case report]. Zhonghua Nei Ke Za Zhi 2016; 55:640-642. [PMID: 27480563 DOI: 10.3760/cma.j.issn.0578-1426.2016.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
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Milici M, Deng ZL, Tomasch J, Decelle J, Wos-Oxley ML, Wang H, Jáuregui R, Plumeier I, Giebel HA, Badewien TH, Wurst M, Pieper DH, Simon M, Wagner-Döbler I. Co-occurrence Analysis of Microbial Taxa in the Atlantic Ocean Reveals High Connectivity in the Free-Living Bacterioplankton. Front Microbiol 2016; 7:649. [PMID: 27199970 PMCID: PMC4858663 DOI: 10.3389/fmicb.2016.00649] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [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: 12/17/2015] [Accepted: 04/18/2016] [Indexed: 12/04/2022] Open
Abstract
We determined the taxonomic composition of the bacterioplankton of the epipelagic zone of the Atlantic Ocean along a latitudinal transect (51°S–47°N) using Illumina sequencing of the V5-V6 region of the 16S rRNA gene and inferred co-occurrence networks. Bacterioplankon community composition was distinct for Longhurstian provinces and water depth. Free-living microbial communities (between 0.22 and 3 μm) were dominated by highly abundant and ubiquitous taxa with streamlined genomes (e.g., SAR11, SAR86, OM1, Prochlorococcus) and could clearly be separated from particle-associated communities which were dominated by Bacteroidetes, Planktomycetes, Verrucomicrobia, and Roseobacters. From a total of 369 different communities we then inferred co-occurrence networks for each size fraction and depth layer of the plankton between bacteria and between bacteria and phototrophic micro-eukaryotes. The inferred networks showed a reduction of edges in the deepest layer of the photic zone. Networks comprised of free-living bacteria had a larger amount of connections per OTU when compared to the particle associated communities throughout the water column. Negative correlations accounted for roughly one third of the total edges in the free-living communities at all depths, while they decreased with depth in the particle associated communities where they amounted for roughly 10% of the total in the last part of the epipelagic zone. Co-occurrence networks of bacteria with phototrophic micro-eukaryotes were not taxon-specific, and dominated by mutual exclusion (~60%). The data show a high degree of specialization to micro-environments in the water column and highlight the importance of interdependencies particularly between free-living bacteria in the upper layers of the epipelagic zone.
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Affiliation(s)
- Mathias Milici
- Group Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Zhi-Luo Deng
- Group Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Jürgen Tomasch
- Group Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Johan Decelle
- UMR 7144 - Sorbonne Universités, UPMC Univ Paris 06Roscoff, France; Centre National de la Recherche Scientifique, UMR 7144Roscoff, France
| | - Melissa L Wos-Oxley
- Group Microbial Interactions and Processes, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Hui Wang
- Group Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Ruy Jáuregui
- Group Microbial Interactions and Processes, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Iris Plumeier
- Group Microbial Interactions and Processes, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Helge-Ansgar Giebel
- Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany
| | - Thomas H Badewien
- Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany
| | - Mascha Wurst
- Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany
| | - Dietmar H Pieper
- Group Microbial Interactions and Processes, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Meinhard Simon
- Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany
| | - Irene Wagner-Döbler
- Group Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany
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Milici M, Tomasch J, Wos-Oxley ML, Decelle J, Jáuregui R, Wang H, Deng ZL, Plumeier I, Giebel HA, Badewien TH, Wurst M, Pieper DH, Simon M, Wagner-Döbler I. Bacterioplankton Biogeography of the Atlantic Ocean: A Case Study of the Distance-Decay Relationship. Front Microbiol 2016; 7:590. [PMID: 27199923 PMCID: PMC4845060 DOI: 10.3389/fmicb.2016.00590] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [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: 02/11/2016] [Accepted: 04/11/2016] [Indexed: 11/13/2022] Open
Abstract
In order to determine the influence of geographical distance, depth, and Longhurstian province on bacterial community composition and compare it with the composition of photosynthetic micro-eukaryote communities, 382 samples from a depth-resolved latitudinal transect (51°S–47°N) from the epipelagic zone of the Atlantic ocean were analyzed by Illumina amplicon sequencing. In the upper 100 m of the ocean, community similarity decreased toward the equator for 6000 km, but subsequently increased again, reaching similarity values of 40–60% for samples that were separated by ~12,000 km, resulting in a U-shaped distance-decay curve. We conclude that adaptation to local conditions can override the linear distance-decay relationship in the upper epipelagial of the Atlantic Ocean which is apparently not restrained by barriers to dispersal, since the same taxa were shared between the most distant communities. The six Longhurstian provinces covered by the transect were comprised of distinct microbial communities; ~30% of variation in community composition could be explained by province. Bacterial communities belonging to the deeper layer of the epipelagic zone (140–200 m) lacked a distance-decay relationship altogether and showed little provincialism. Interestingly, those biogeographical patterns were consistently found for bacteria from three different size fractions of the plankton with different taxonomic composition, indicating conserved underlying mechanisms. Analysis of the chloroplast 16S rRNA gene sequences revealed that phytoplankton composition was strongly correlated with both free-living and particle associated bacterial community composition (R between 0.51 and 0.62, p < 0.002). The data show that biogeographical patterns commonly found in macroecology do not hold for marine bacterioplankton, most likely because dispersal and evolution occur at drastically different rates in bacteria.
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Affiliation(s)
- Mathias Milici
- Group Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Jürgen Tomasch
- Group Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Melissa L Wos-Oxley
- Group Microbial Interactions and Processes, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Johan Decelle
- UMR 7144 - Sorbonne Universités, UPMC Univ Paris 06, Station Biologique de RoscoffRoscoff, France; Centre National de la Recherche Scientifique, UMR 7144, Station Biologique de RoscoffRoscoff, France
| | - Ruy Jáuregui
- Group Microbial Interactions and Processes, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Hui Wang
- Group Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Zhi-Luo Deng
- Group Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Iris Plumeier
- Group Microbial Interactions and Processes, Helmholtz-Center for Infection Research Braunschweig, Germany
| | - Helge-Ansgar Giebel
- Department of Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany
| | - Thomas H Badewien
- Department of Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany
| | - Mascha Wurst
- Department of Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany
| | - Dietmar H Pieper
- Department of Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany
| | - Meinhard Simon
- Department of Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg Oldenburg, Germany
| | - Irene Wagner-Döbler
- Group Microbial Communication, Helmholtz-Center for Infection Research Braunschweig, Germany
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Szafrański SP, Deng ZL, Tomasch J, Jarek M, Bhuju S, Meisinger C, Kühnisch J, Sztajer H, Wagner-Döbler I. Functional biomarkers for chronic periodontitis and insights into the roles of Prevotella nigrescens and Fusobacterium nucleatum; a metatranscriptome analysis. NPJ Biofilms Microbiomes 2015; 1:15017. [PMID: 28721234 PMCID: PMC5515211 DOI: 10.1038/npjbiofilms.2015.17] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Revised: 08/07/2015] [Accepted: 08/20/2015] [Indexed: 01/30/2023] Open
Abstract
Background/Objectives: Periodontitis is the most prevalent inflammatory disease worldwide and is caused by a dysbiotic subgingival biofilm. Here we used metatranscriptomics to determine the functional shift from health to periodontitis, the response of individual species to dysbiosis and to discover biomarkers. Methods: Sixteen individuals were studied, from which six were diagnosed with chronic periodontitis. Illumina sequencing of the total messenger RNA (mRNA) yielded ~42 million reads per sample. A total of 324 human oral taxon phylotypes and 366,055 open reading frames from the HOMD database reference genomes were detected. Results: The transcriptionally active community shifted from Bacilli and Actinobacteria in health to Bacteroidia, Deltaproteobacteria, Spirochaetes and Synergistetes in periodontitis. Clusters of orthologous groups (COGs) related to carbohydrate transport and catabolism dominated in health, whereas protein degradation and amino acid catabolism dominated in disease. The LEfSe, random forest and support vector machine methods were applied to the 2,000 most highly expressed genes and discovered the three best functional biomarkers, namely haem binding protein HmuY from Porphyromonas gingivalis, flagellar filament core protein FlaB3 from Treponema denticola, and repeat protein of unknown function from Filifactor alocis. They predicted the diagnosis correctly for 14 from 16 individuals, and when applied to an independent study misclassified one out of six subjects only. Prevotella nigrescens shifted from commensalism to virulence by upregulating the expression of metalloproteases and the haem transporter. Expression of genes for the synthesis of the cytotoxic short-chain fatty acid butyrate was observed by Fusobacterium nucleatum under all conditions. Four additional species contributed to butyrate synthesis in periodontitis and they used an additional pathway. Conclusion: Gene biomarkers of periodontitis are highly predictive. The pro-inflammatory role of F. nucelatum is not related to butyrate synthesis.
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Affiliation(s)
- Szymon P Szafrański
- Research Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Zhi-Luo Deng
- Research Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Jürgen Tomasch
- Research Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Michael Jarek
- Genome Analytics, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Sabin Bhuju
- Genome Analytics, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Christa Meisinger
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Jan Kühnisch
- Department of Conservative Dentistry, Ludwig-Maximilians-University, München, Germany
| | - Helena Sztajer
- Research Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Irene Wagner-Döbler
- Research Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
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Wang C, Deng ZL, Xie ZM, Chu XY, Chang JW, Kong DX, Li BJ, Zhang HY, Chen LL. Construction of a genome-scale metabolic network of the plant pathogen Pectobacterium carotovorum provides new strategies for bactericide discovery. FEBS Lett 2014; 589:285-94. [PMID: 25535697 DOI: 10.1016/j.febslet.2014.12.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Revised: 12/10/2014] [Accepted: 12/12/2014] [Indexed: 11/17/2022]
Abstract
We reconstructed the first genome-scale metabolic network of the plant pathogen Pectobacterium carotovorum subsp. carotovorum PC1 based on its genomic sequence, annotation, and physiological data. Metabolic characteristics were analyzed using flux balance analysis (FBA), and the results were afterwards validated by phenotype microarray (PM) experiments. The reconstructed genome-scale metabolic model, iPC1209, contains 2235 reactions, 1113 metabolites and 1209 genes. We identified 19 potential bactericide targets through a comprehensive in silico gene-deletion study. Next, we performed virtual screening to identify candidate inhibitors for an important potential drug target, alkaline phosphatase, and experimentally verified that three lead compounds were able to inhibit both bacterial cell viability and the activity of alkaline phosphatase in vitro. This study illustrates a new strategy for the discovery of agricultural bactericides.
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Affiliation(s)
- Cheng Wang
- State Key Laboratory of Agricultural Microbiology, College of Informatics, Huazhong Agricultural University, Wuhan 430070, PR China; Agricultural Bioinformatics Key Laboratory of Hubei Province, Center for Bioinformatics, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Zhi-Luo Deng
- Agricultural Bioinformatics Key Laboratory of Hubei Province, Center for Bioinformatics, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Zhi-Ming Xie
- Agricultural Bioinformatics Key Laboratory of Hubei Province, Center for Bioinformatics, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Xin-Yi Chu
- Agricultural Bioinformatics Key Laboratory of Hubei Province, Center for Bioinformatics, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Ji-Wei Chang
- State Key Laboratory of Agricultural Microbiology, College of Informatics, Huazhong Agricultural University, Wuhan 430070, PR China; Agricultural Bioinformatics Key Laboratory of Hubei Province, Center for Bioinformatics, Huazhong Agricultural University, Wuhan 430070, PR China
| | - De-Xin Kong
- State Key Laboratory of Agricultural Microbiology, College of Informatics, Huazhong Agricultural University, Wuhan 430070, PR China; Agricultural Bioinformatics Key Laboratory of Hubei Province, Center for Bioinformatics, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Bao-Ju Li
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China
| | - Hong-Yu Zhang
- Agricultural Bioinformatics Key Laboratory of Hubei Province, Center for Bioinformatics, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Ling-Ling Chen
- State Key Laboratory of Agricultural Microbiology, College of Informatics, Huazhong Agricultural University, Wuhan 430070, PR China; Agricultural Bioinformatics Key Laboratory of Hubei Province, Center for Bioinformatics, Huazhong Agricultural University, Wuhan 430070, PR China.
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Yang XX, Deng ZL, Liu R. RBRDetector: Improved prediction of binding residues on RNA-binding protein structures using complementary feature- and template-based strategies. Proteins 2014; 82:2455-71. [DOI: 10.1002/prot.24610] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2014] [Revised: 04/28/2014] [Accepted: 05/09/2014] [Indexed: 11/05/2022]
Affiliation(s)
- Xiao-Xia Yang
- Agricultural Bioinformatics Key Laboratory of Hubei Province; College of Informatics; Huazhong Agricultural University; Wuhan 430070 People's Republic of China
| | - Zhi-Luo Deng
- Agricultural Bioinformatics Key Laboratory of Hubei Province; College of Informatics; Huazhong Agricultural University; Wuhan 430070 People's Republic of China
| | - Rong Liu
- Agricultural Bioinformatics Key Laboratory of Hubei Province; College of Informatics; Huazhong Agricultural University; Wuhan 430070 People's Republic of China
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Deng ZL, Du CX, Li X, Hu B, Kuang ZK, Wang R, Feng SY, Zhang HY, Kong DX. Exploring the Biologically Relevant Chemical Space for Drug Discovery. J Chem Inf Model 2013; 53:2820-8. [DOI: 10.1021/ci400432a] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
| | | | - Xiao Li
- Center
for Bioinformatics, College of Life Science, Shandong University of Technology, Zibo 255049, China
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Peng C, Fu LY, Dong PF, Deng ZL, Li JX, Wang XT, Zhang HY. The sequencing bias relaxed characteristics of Hi-C derived data and implications for chromatin 3D modeling. Nucleic Acids Res 2013; 41:e183. [PMID: 23965308 PMCID: PMC3799458 DOI: 10.1093/nar/gkt745] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The 3D chromatin structure modeling by chromatin interactions derived from Hi-C experiments is significantly challenged by the intrinsic sequencing biases in these experiments. Conventional modeling methods only focus on the bias among different chromatin regions within the same experiment but neglect the bias arising from different experimental sequencing depth. We now show that the regional interaction bias is tightly coupled with the sequencing depth, and we further identify a chromatin structure parameter as the inherent characteristics of Hi-C derived data for chromatin regions. Then we present an approach for chromatin structure prediction capable of relaxing both kinds of sequencing biases by using this identified parameter. This method is validated by intra and inter cell-line comparisons among various chromatin regions for four human cell-lines (K562, GM12878, IMR90 and H1hESC), which shows that the openness of chromatin region is well correlated with chromatin function. This method has been executed by an automatic pipeline (AutoChrom3D) and thus can be conveniently used.
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Affiliation(s)
- Cheng Peng
- National Key Laboratory of Crop Genetic Improvement, Center for Bioinformatics, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
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Nabae T, Takahata S, Konomi H, Deng ZL, Yokohata K, Chijiiwa K, Tanaka M. Effect of prepyloric gastric transection and anastomosis on sphincter of Oddi cyclic motility in conscious dogs. J Gastroenterol 2001; 36:530-7. [PMID: 11519831 DOI: 10.1007/s005350170055] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
PURPOSE We previously reported significant changes in sphincter of Oddi cyclic motility after proximal duodenal transection and anastomosis. However, the role of intrinsic myoneural continuity between the antrum and duodenum in this respect is not understood. The aim of this study was to elucidate the effects of prepyloric gastric transection on sphincter of Oddi motility in animals in the conscious state. METHODS Pressures in the bile duct, duodenum, stomach, and sphincter of Oddi and their response to an injection of cholecystokinin-octapeptide were measured in four conscious dogs, with a duodenal cannula, before and after gastric transection and anastomosis 1.5 cm proximal to the pylorus. RESULTS Gastric transection did not affect the initiation and propagation of the gastroduodenal migration motor complex. Biliary pressure (5.7 +/- 0.15 to 5.5 +/- 0.2 mmHg; P = 0.91), sphincter of Oddi basal pressure (10.6 +/- 0.3 to 10.7 +/- 0.2 mmHg; P = 0.97), and amplitude (26.0 +/- 1.2 to 32.9 +/- 1.7 mmHg; P = 0.304) did not change after gastric transection. Biliary pressure decreased from phase II to phase III of the duodenal migrating motor complex. Cholecystokinin-octapeptide inhibited sphincter of Oddi phasic waves before and after gastric transection. CONCLUSIONS Intrinsic myoneural transection at the prepyloric region does not influence sphincter of Oddi cyclic motility. Preservation of pyloroduodenal myoneural continuity in pylorus-preserving gastrectomy would be beneficial to maintain normal sphincter of Oddi motility.
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Affiliation(s)
- T Nabae
- Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Deng ZL, Nabae T, Konomi H, Takahata S, Yokohata K, Ogawa Y, Chijiiwa K, Tanaka M. Effects of proximal duodenal transection and anastomosis on interdigestive sphincter of Oddi cyclic motility in conscious dogs. World J Surg 2000; 24:863-9. [PMID: 10833256 DOI: 10.1007/s002680010138] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Gallstones formed after gastrectomy are bilirubinate stones probably associated with biliary stasis and infection. Effects of proximal duodenal transection performed during gastrectomy on interdigestive sphincter of Oddi cyclic motility possibly relevant to this phenomenon were investigated in four conscious dogs. Although the cyclic change in sphincter motility was still in concert with the duodenal migrating motor complex after duodenal transection, the mean period was shortened (p < 0.02), and the frequency (p < 0.005) and amplitude (p < 0.001) of sphincter phasic waves during phase III were decreased. The cyclic variation of basal pressure disappeared, and the mean basal pressure throughout the cycle was significantly reduced (p < 0.003). Transient inhibition of sphincter and duodenal contractions normally seen during phase III disappeared. Duodenal transection reversed the response of the sphincter to cholecystokinin-octapeptide from inhibition to stimulation and from reduction of the basal pressure to elevation. These data suggest that duodenal transection produces significant changes in interdigestive sphincter of Oddi motility, possibly contributing to augmented duodenobiliary reflux and then lithogenesis. Myoneural continuity between the stomach and sphincter of Oddi at the proximal duodenum may play an important role in maintaining normal biliary dynamics.
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Affiliation(s)
- Z L Deng
- Department of Surgery I, Kyushu University Faculty of Medicine, Fukuoka, Japan
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Takeda T, Tohma H, Yoshida J, Naritomi G, Konomi H, Deng ZL, Kinukawa N, Tanaka M. Vector manometric study of the sphincter of Oddi in the dog: functional and morphological correlation. J Gastroenterol 1998; 33:860-3. [PMID: 9853560 DOI: 10.1007/s005350050188] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The relationship between sphincter of Oddi pressure and the morphological structure of the sphincter was studied in eight dogs prepared with a duodenal cannula. Sphincter of Oddi manometry was performed in awake animals in three directions, ventral, left dorsal, and right dorsal, using a catheter with three radial side holes for recording at one level. The pressure in the ventral direction (26.6+/-1.06 mmHg) (mean+/-SEM) was significantly lower than that in the left and right dorsal directions (30.6+/-1.42 and 31.2+/-1.23 mmHg, respectively). This functional manometric difference in the three directions correlated closely with the morphological structure of the sphincter of Oddi; the sum of the thickness of the sphincter of Oddi muscle and duodenal proper muscle was greater on the dorsal than on the ventral side. To our knowledge, this is the first report of axial asymmetry in sphincter of Oddi pressure.
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Affiliation(s)
- T Takeda
- Department of Surgery I, Kyushu University Faculty of Medicine, Fukuoka, Japan
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Ohara K, Nakamura Y, Xie DW, Ishigaki T, Deng ZL, Tani K, Zhang HY, Kondo N, Liu JC, Miyasato K, Ohara K. Polymorphisms of dopamine D2-like (D2, D3, and D4) receptors in schizophrenia. Biol Psychiatry 1996; 40:1209-17. [PMID: 8959285 DOI: 10.1016/0006-3223(95)00673-7] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The result of most association studies and linkage analyses have suggested a negative association between schizophrenia and D2-like (D2, D3, and D4) receptor polymorphisms. Although the polymorphisms of the D2-like receptor in themselves may not account for the etiology of schizophrenia, they can contribute to the severity of the symptoms. Thus, we studied the associations between the polymorphisms and their combinations, and the vulnerability of schizophrenics. Fragments of the D2-like receptor genes were amplified by means of the polymerase chain reaction, and the polymorphisms were identified by the restriction fragment length polymorphism and single-stranded conformation polymorphism methods. There were no statistically significant differences in the polymorphisms and their combinations between schizophrenics and controls. Schizophrenics with D4E1(A1/A2), which contains 2 and 1 tandem repeats of a 12-base-pair sequence in exon 1, had a lower total positive symptom score before medication than schizophrenics with D4E1(A1/A1). There was no association between the polymorphisms and negative symptoms.
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Affiliation(s)
- K Ohara
- Department of Psychiatry, Hamamatsu University School of Medicine, Shizuoka, Japan
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Abstract
To investigate effects of intraduodenal air insufflation on sphincter of Oddi motility, manometric recordings were obtained during fasting from the sphincter and duodenum in four conscious dogs with duodenal cannula. At 40% of the mean cycle length of the migrating motor complex predetermined from baseline recording, 160 ml of air was injected into the duodenum. In both the sphincter and duodenum, air insufflation produced premature phase III-like activity in seven of 20 experiments (35%) or nonspecific excitatory reaction in eight (40%). In the remaining five experiments (25%), the sphincter exhibited a transient inhibitory response, while the duodenum showed the nonspecific excitatory reaction. Basal pressure of the sphincter increased immediately after air insufflation in 90% of the 20 experiments. The mean basal pressure increased from 12.3 +/- 1.6 mm Hg to 22.4 +/- 2.1 mm Hg (P < 0.0001) and minimum basal pressure from 2.9 +/- 0.9 mm Hg to 4.7 +/- 0.8 mm Hg (P < 0.001). These results indicate that intraduodenal air insufflation does affect motility of the sphincter of Oddi and duodenum in conscious dogs.
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Affiliation(s)
- Z L Deng
- Department of Surgery I, Kyushu University Faculty of Medicine, Fukuoka, Japan
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Ohara K, Xie DW, Ishigaki T, Deng ZL, Nakamura Y, Suzuki Y, Miyasato K, Ohara K. The genes encoding the 5HT1D alpha and 5HT1D beta receptors are unchanged in patients with panic disorder. Biol Psychiatry 1996; 39:5-10. [PMID: 8719119 DOI: 10.1016/0006-3223(95)00108-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
To determine the serotonergic function in panic disorder, sequencing of the genes encoding the 5HT1D alpha and 5HT1D beta receptors was carried out. The genes for the 5HT1D alpha and 5HT1D beta receptors were amplified by polymerase chain reaction and sequenced by the dideoxy method. Some patients have both nucleotides C and T at position 1080 in 5HT1D alpha receptor gene; however, both of them code the same amino acid, asparagine. The 5HT1D beta receptor gene had a substitution from GCA276 to GCG276, not only panic disorder but also in controls; however, this substitution does not change the corresponding amino acid, alanine92.
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Affiliation(s)
- K Ohara
- Department of Psychiatry, Hamamatsu University School of Medicine, Shizuoka, Japan
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Deng ZL, Yamashita H, Nakafusa Y, Kuroki S, Furukawa K, Chijiiwa K, Tanaka M. Male breast cancer--a report of 4 cases and a review of the literature. Fukuoka Igaku Zasshi 1995; 86:288-292. [PMID: 7649518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Male breast cancer represents only about 1% of all breast cancers. Of 451 patients with breast cancer, we have experienced four cases of male breast cancer. Characteristics of these male patients with breast cancer were an older age at diagnosis (mean: 68.5 years old), prolonged duration of symptom (ranged from 1 month to 6 years with a mean of 25.5 months), centrally located tumor, advanced staging and infiltrating ductal carcinoma in histologic type. Some reported risk factors for the development of male breast cancer, such as radiation exposure, hormonal factors and gallstone disease were present.
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Affiliation(s)
- Z L Deng
- Department of Surgery 1, Kyushu University Faculty of Medicine, Fukuoka, Japan
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Abstract
We studied the 5-HT1A receptor gene in 50 mood disorders and 50 normal volunteers. The 5-HT1A receptor gene was amplified by polymerase chain reaction and sequenced by the dideoxy method. The sequence of the 5-HT1A receptor encodes a protein of 422 amino acids, that is, one amino acid longer than the reported sequence (Kobilka et al. 1987). The DNA sequence at positions 454 to 459 is CGC GCC GCT, not CCG CGT, and the amino acids sequence at these positions is changing from proline arginine to arginine alanine alanine. These differences, however, were observed in both mood disorders and controls. One silent polymorphism, CTG to GTA at position 294, was found. These results suggest that the 5-HT1A receptor gene is intact in mood disorders.
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Affiliation(s)
- D W Xie
- Department of Psychiatry, Hamamatsu University School of Medicine, Japan
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Zhao PZ, Deng ZL, Zhang ZS, Zhang HY, Wang HY, Zhu XQ, Kun-xong L, Ying L, Zhong C, Rui-biao Y. The influence of age and location of arterial lesion on the pathogenesis and development of early atherosclerotic lesions in youth. Chin Med J (Engl) 1994; 107:171-5. [PMID: 8088176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
From 1986 to 1989, 324 aortae from accidental death aged 15-39 were collected from two locations, one of higher prevalence (Beijing in North China), and the other of lower prevalence (Nanning in South China) of atherosclerosis (AS) and coronary heart disease (CHD). Morphometry and biochemical analyses, were used in the study with emphasis on the changes of smooth muscle cells (SMC) in the aortic intima and on the aortic proteoglycans (PGs) of specimens from both locations to elucidate their relationship with the pathogenesis and development of AS and to find ways, if any, for the prevention and control of AS. The results showed that the densities, especially the area density of the cell nuclei of aortic SMC were significantly higher in specimens from the North than those from the South (P < 0.01). Nuclear densities of SMC negatively correlated with alcian blue-positive substances; both total PGs and Heparin sulfate PG (HSPG, inhibitory to SMC proliferation) of the aortic intima and media were lower in specimens from the North than those from the South (P < 0.01). The percentage of sudanophilic lesion (SL) in the total intimal area, showing the extent of fatty infiltration of aortae from the two locations, was similar except that of the male abdominal aortae which was higher in the North (P < 0.01). The above findings showed that decreased content of HSPG which is inhibitory to SMC proliferation might be one of the causes of the augmentation of aortic SMC proliferation in Beijing specimens; and also the increased serum cholesterol concentration of the population in Nanning was reflected in the SL of the aortic intima.(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- P Z Zhao
- Cardiovascular Institute, Chinese Academy of Medical Sciences, Beijing
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Abstract
The contents of three species of proteoglycans (PGs), heparan sulfate PG(HSPG), chondroitin sulfate PG(CSPG) and dermatan sulfate chondroitin sulfate PG(DSCSPG), in human thoracic aortas of subjects from districts of high (Beijin, in North China) and low (Nanning, in South China) prevalence of atherosclerosis in China were quantitated. Higher aortic HSPG and DSCSPG (but lower DS) in samples from Nanning than those from Beijing might be implicated in the lower prevalence of atherosclerosis in the former.
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Affiliation(s)
- Y S Chang
- Division of Biochemistry, Chinese Academy of Medical Sciences, Beijing
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Abstract
Fourteen cases of penicilliosis marneffei occurred in persons in the Guangxi region of the People's Republic of China; the first known case of that disease had been found in Vietnamese bamboo rats (Rhizomys sinensis). A survey of the wild rats in this region was initiated to determine if any of these animals were infected by Penicillium marneffei. Although R. sinensis rats live in the study area, they are relatively rare. The only rats captured were another species of bamboo rat (R. pruinosus). Of the 19 rats captured, 18 yielded cultures of P. marneffei from one or more of their internal organs. The implications of this finding in respect to the epidemiology of penicilliosis marneffei are discussed.
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Deng ZL, Connor DH. Progressive disseminated penicilliosis caused by Penicillium marneffei. Report of eight cases and differentiation of the causative organism from Histoplasma capsulatum. Am J Clin Pathol 1985; 84:323-7. [PMID: 4036861 DOI: 10.1093/ajcp/84.3.323] [Citation(s) in RCA: 126] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Eight patients with fatal penicilliosis caused by Penicillium marneffei are reported. All were natives of southern rural Guangxi, and none had a predisposing illness or evidence of altered immunity. The distinctive features of P. marneffei include proliferation of yeast-like cells within histiocytes, followed by the development of focal necrosis and, eventually, large abscesses. Outside the histiocytes, the fungi elongate, become slightly curved, and form septa. In vitro, P. marneffei produces a red pigment which diffuses into the culture medium. The differentiation between P. marneffei and Histoplasma capsulatum is described, and possible reservoirs for P. marneffei are discussed.
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