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Butler J, Morgan S, Jones L, Upton M, Besinis A. Evaluating the antibacterial efficacy of a silver nanocomposite surface coating against nosocomial pathogens as an antibiofilm strategy to prevent hospital infections. Nanotoxicology 2024; 18:410-436. [PMID: 39051684 DOI: 10.1080/17435390.2024.2379809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 07/04/2024] [Accepted: 07/05/2024] [Indexed: 07/27/2024]
Abstract
Antimicrobial nanocoatings may be a means of preventing nosocomial infections, which account for significant morbidity and mortality. The role of hospital sink traps in these infections is also increasingly appreciated. We describe the preparation, material characterization and antibacterial activity of a pipe cement-based silver nanocoating applied to unplasticized polyvinyl chloride, a material widely used in wastewater plumbing. Three-dimensional surface topography imaging and scanning electron microscopy showed increased roughness in all surface finishes versus control, with grinding producing the roughest surfaces. Silver stability within nanocoatings was >99.89% in deionized water and bacteriological media seeded with bacteria. The nanocoating exhibited potent antibiofilm (99.82-100% inhibition) and antiplanktonic (99.59-99.99% killing) activity against three representative bacterial species and a microbial community recovered from hospital sink traps. Hospital sink trap microbiota were characterized by sequencing the 16S rRNA gene, revealing the presence of opportunistic pathogens from genera including Pseudomonas, Enterobacter and Clostridioides. In a benchtop model sink trap system, nanocoating antibiofilm activity against this community remained significant after 11 days but waned following 25 days. Silver nanocoated disks in real-world sink traps in two university buildings had a limited antibiofilm effect, even though in vitro experiments using microbial communities recovered from the same traps demonstrated that the nanocoating was effective, reducing biofilm formation by >99.6% and killing >98% of planktonic bacteria. We propose that conditioning films forming in the complex conditions of real-world sink traps negatively impact nanocoating performance, which may have wider relevance to development of antimicrobial nanocoatings that are not tested in the real-world.
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Affiliation(s)
- James Butler
- School of Engineering, Computing and Mathematics, Faculty of Science and Engineering, University of Plymouth, Plymouth, United Kingdom
| | - Sian Morgan
- School of Engineering, Computing and Mathematics, Faculty of Science and Engineering, University of Plymouth, Plymouth, United Kingdom
| | - Lewis Jones
- Clinical Microbiology, University Hospitals Plymouth NHS Trust, Plymouth, United Kingdom
| | - Mathew Upton
- School of Biomedical Sciences, Faculty of Health, University of Plymouth, Plymouth, United Kingdom
| | - Alexandros Besinis
- School of Engineering, Computing and Mathematics, Faculty of Science and Engineering, University of Plymouth, Plymouth, United Kingdom
- Peninsula Dental School, Faculty of Health, University of Plymouth, Plymouth, United Kingdom
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Zhou T, Zhao F, Xu K. Information Scale Correction for Varying Length Amplicons Improves Eukaryotic Microbiome Data Integration. Microorganisms 2023; 11:microorganisms11040949. [PMID: 37110372 PMCID: PMC10146031 DOI: 10.3390/microorganisms11040949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/03/2023] [Accepted: 04/04/2023] [Indexed: 04/29/2023] Open
Abstract
The integration and reanalysis of big data provide valuable insights into microbiome studies. However, the significant difference in information scale between amplicon data poses a key challenge in data analysis. Therefore, reducing batch effects is crucial to enhance data integration for large-scale molecular ecology data. To achieve this, the information scale correction (ISC) step, involving cutting different length amplicons into the same sub-region, is essential. In this study, we used the Hidden Markov model (HMM) method to extract 11 different 18S rRNA gene v4 region amplicon datasets with 578 samples in total. The length of the amplicons ranged from 344 bp to 720 bp, depending on the primer position. By comparing the information scale correction of amplicons with varying lengths, we explored the extent to which the comparability between samples decreases with increasing amplicon length. Our method was shown to be more sensitive than V-Xtractor, the most popular tool for performing ISC. We found that near-scale amplicons exhibited no significant change after ISC, while larger-scale amplicons exhibited significant changes. After the ISC treatment, the similarity among the data sets improved, especially for long amplicons. Therefore, we recommend adding ISC processing when integrating big data, which is crucial for unlocking the full potential of microbial community studies and advancing our knowledge of microbial ecology.
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Affiliation(s)
- Tong Zhou
- Laboratory of Marine Organism Taxonomy and Phylogeny, Qingdao Key Laboratory of Marine Biodiversity and Conservation, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Feng Zhao
- Laboratory of Marine Organism Taxonomy and Phylogeny, Qingdao Key Laboratory of Marine Biodiversity and Conservation, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kuidong Xu
- Laboratory of Marine Organism Taxonomy and Phylogeny, Qingdao Key Laboratory of Marine Biodiversity and Conservation, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Edfeldt G, Kaldhusdal V, Czarnewski P, Bradley F, Bergström S, Lajoie J, Xu J, Månberg A, Kimani J, Oyugi J, Nilsson P, Tjernlund A, Fowke KR, Kwon DS, Broliden K. Distinct cervical tissue-adherent and luminal microbiome communities correlate with mucosal host gene expression and protein levels in Kenyan sex workers. MICROBIOME 2023; 11:67. [PMID: 37004130 PMCID: PMC10064689 DOI: 10.1186/s40168-023-01502-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 02/24/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND The majority of studies characterizing female genital tract microbiota have focused on luminal organisms, while the presence and impact of tissue-adherent ectocervical microbiota remain incompletely understood. Studies of luminal and tissue-associated bacteria in the gastrointestinal tract suggest that these communities may have distinct roles in health and disease. Here, we performed a multi-omics characterization of paired luminal and tissue samples collected from a cohort of Kenyan female sex workers. RESULTS We identified a tissue-adherent bacterial microbiome, with a higher alpha diversity than the luminal microbiome, in which dominant genera overall included Gardnerella and Lactobacillus, followed by Prevotella, Atopobium, and Sneathia. About half of the L. iners-dominated luminal samples had a corresponding Gardnerella-dominated tissue microbiome. Broadly, the tissue-adherent microbiome was associated with fewer differentially expressed host genes than the luminal microbiome. Gene set enrichment analysis revealed that L. crispatus-dominated tissue-adherent communities were associated with protein translation and antimicrobial activity, whereas a highly diverse microbial community was associated with epithelial remodeling and pro-inflammatory pathways. Tissue-adherent communities dominated by L. iners and Gardnerella were associated with lower host transcriptional activity. Tissue-adherent microbiomes dominated by Lactobacillus and Gardnerella correlated with host protein profiles associated with epithelial barrier stability, although with a more pro-inflammatory profile for the Gardnerella-dominated microbiome group. Tissue samples with a highly diverse composition had a protein profile representing cell proliferation and pro-inflammatory activity. CONCLUSION We identified ectocervical tissue-adherent bacterial communities in all study participants of a female sex worker cohort. These communities were distinct from cervicovaginal luminal microbiota in a significant proportion of individuals. We further revealed that bacterial communities at both sites correlated with distinct host gene expression and protein levels. The tissue-adherent bacterial community could possibly act as a reservoir that seed the lumen with less optimal, non-Lactobacillus, bacteria. Video Abstract.
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Affiliation(s)
- Gabriella Edfeldt
- Department of Medicine Solna, Division of Infectious Diseases, Karolinska Institutet, Department of Infectious Diseases, Karolinska University Hospital, Center for Molecular Medicine, J7:20, S-171 76, Stockholm, Sweden
| | - Vilde Kaldhusdal
- Department of Medicine Solna, Division of Infectious Diseases, Karolinska Institutet, Department of Infectious Diseases, Karolinska University Hospital, Center for Molecular Medicine, J7:20, S-171 76, Stockholm, Sweden
| | - Paulo Czarnewski
- Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, SciLifeLab, Stockholm University, Solna, Sweden
| | - Frideborg Bradley
- Department of Medicine Solna, Division of Infectious Diseases, Karolinska Institutet, Department of Infectious Diseases, Karolinska University Hospital, Center for Molecular Medicine, J7:20, S-171 76, Stockholm, Sweden
| | - Sofia Bergström
- Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Julie Lajoie
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada
| | - Jiawu Xu
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Anna Månberg
- Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Joshua Kimani
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada
- Department of Medical Microbiology, University of Nairobi, Nairobi, Kenya
- Partners for Health and Development in Africa, Nairobi, Kenya
| | - Julius Oyugi
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada
- Department of Medical Microbiology, University of Nairobi, Nairobi, Kenya
| | - Peter Nilsson
- Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Annelie Tjernlund
- Department of Medicine Solna, Division of Infectious Diseases, Karolinska Institutet, Department of Infectious Diseases, Karolinska University Hospital, Center for Molecular Medicine, J7:20, S-171 76, Stockholm, Sweden
| | - Keith R Fowke
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada
- Department of Medical Microbiology, University of Nairobi, Nairobi, Kenya
- Partners for Health and Development in Africa, Nairobi, Kenya
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Douglas S Kwon
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Kristina Broliden
- Department of Medicine Solna, Division of Infectious Diseases, Karolinska Institutet, Department of Infectious Diseases, Karolinska University Hospital, Center for Molecular Medicine, J7:20, S-171 76, Stockholm, Sweden.
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Brusselaers N, Pereira M, Alm J, Engstrand L, Engstrand Lilja H. Effect of proton pump inhibitors in infants with esophageal atresia on the gut microbiome: a pilot cohort. Gut Pathog 2022; 14:47. [PMID: 36527125 PMCID: PMC9758939 DOI: 10.1186/s13099-022-00518-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/08/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The effects of proton-pump inhibitors (PPIs) on the infant microbiome remain unclear. Swedish pilot cohort study to assess the longitudinal effect of long-term PPI on the infant gut microbiome, including ten newborn infants operated for esophageal atresia exposed to PPIs (mean 57 weeks), compared to healthy one-year-old controls. All children were born vaginally and were otherwise healthy. Within- and between sample diversity of the fecal microbiome was assessed using untargeted whole genome Shotgun metagenomics which sequences all the DNA in the sample and can capture genes rather than a taxonomic fingerprint. RESULTS A longer duration of PPI-use was associated with considerable changes in evenness and high variation on diversity within samples compared to a shorter duration of use. The limited difference between baseline samples and controls suggests that this shift was most likely due to the drug exposure and not the underlying alterations on the microbiome. We found no associations with the number of antibiotic treatment episodes among the PPI-users. CONCLUSION Prolonged PPI-use may alter the early infant gut microbiome composition, especially those with the most prolonged duration of use.
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Affiliation(s)
- Nele Brusselaers
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solnavägen 9, 17165 Stockholm, Sweden
- Global Health Institute, University of Antwerp, B-2610 Antwerp, Belgium
- Department of Head and Skin, Ghent University, B-9000 Ghent, Belgium
| | - Marcela Pereira
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solnavägen 9, 17165 Stockholm, Sweden
| | - Johan Alm
- Department of Clinical Science, Karolinska Institutet, 17165 Stockholm, Sweden
- Sachs’ Children and Youth Hospital, Södersjukhuset, 11883 Stockholm, Sweden
| | - Lars Engstrand
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solnavägen 9, 17165 Stockholm, Sweden
| | - Helene Engstrand Lilja
- Department of Women’s and Children’s Health, Karolinska Institutet, 17165 Stockholm, Sweden
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Fransson E, Gudnadottir U, Hugerth LW, Itzel EW, Hamsten M, Boulund F, Pennhag A, Du J, Schuppe-Koistinen I, Brusselaers N, Engstrand L. Cohort profile: the Swedish Maternal Microbiome project (SweMaMi) - assessing the dynamic associations between the microbiome and maternal and neonatal adverse events. BMJ Open 2022; 12:e065825. [PMID: 36288838 PMCID: PMC9615996 DOI: 10.1136/bmjopen-2022-065825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
PURPOSE The Swedish Maternal Microbiome (SweMaMi) project was initiated to better understand the dynamics of the microbiome in pregnancy, with longitudinal microbiome sampling, shotgun metagenomics, extensive questionnaires and health registry linkage. PARTICIPANTS Pregnant women were recruited before the 20th gestational week during 2017-2021 in Sweden. In total, 5439 pregnancies (5193 unique women) were included. For 3973 pregnancies (73%), samples were provided at baseline, and for 3141 (58%) at all three timepoints (second and third trimester and postpartum). In total, 38 591 maternal microbiome samples (vaginal, faecal and saliva) and 3109 infant faecal samples were collected. Questionnaires were used to collect information on general, reproductive and mental health, diet and lifestyle, complemented by linkage to the nationwide health registries, also used to follow up the health of the offspring (up to age 10). FINDINGS TO DATE The cohort is fairly representative for the total Swedish pregnant population (data from 2019), with 41% first-time mothers. Women with university level education, born in Sweden, with normal body mass index, not using tobacco-products and aged 30-34 years were slightly over-represented. FUTURE PLANS The sample and data collection were finalised in November 2021. The next steps are the characterisation of the microbial DNA and linkage to the health and demographic information from the questionnaires and registries. The role of the microbiome on maternal and neonatal outcomes and early-childhood diseases will be explored (including preterm birth, miscarriage) and the role and interaction of other risk factors and confounders (including endometriosis, polycystic ovarian syndrome, diet, drug use). This is currently among the largest pregnancy cohorts in the world with longitudinal design and detailed and standardised microbiome sampling enabling follow-up of both mothers and children. The findings are expected to contribute greatly to the field of reproductive health focusing on pregnancy and neonatal outcomes.
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Affiliation(s)
- Emma Fransson
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Unnur Gudnadottir
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
| | - Luisa W Hugerth
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
- Science for Life Laboratory (SciLifeLab), Stockholm, Sweden
| | - Eva Wiberg Itzel
- Department of Obstetrics and Gynecology, Södersjukhuset AB, Stockholm, Sweden
- Department of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden
| | - Marica Hamsten
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
| | - Fredrik Boulund
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
- Science for Life Laboratory (SciLifeLab), Stockholm, Sweden
| | - Alexandra Pennhag
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
| | - Juan Du
- Centre for Translational Microbiome Research, Karolinska Institutet, Stockholm, Sweden
| | - Ina Schuppe-Koistinen
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
- Science for Life Laboratory (SciLifeLab), Stockholm, Sweden
| | - Nele Brusselaers
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
- Global Health Institute, University of Antwerp, Antwerpen, Belgium
| | - Lars Engstrand
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
- Science for Life Laboratory (SciLifeLab), Stockholm, Sweden
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Ene A, Stegman N, Wolfe A, Putonti C. Genomic insights into Lactobacillus gasseri and Lactobacillus paragasseri. PeerJ 2022; 10:e13479. [PMID: 35694384 PMCID: PMC9186330 DOI: 10.7717/peerj.13479] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 05/01/2022] [Indexed: 01/17/2023] Open
Abstract
Background Antimicrobial and antifungal species are essential members of the healthy human microbiota. Several different species of lactobacilli that naturally inhabit the human body have been explored for their probiotic capabilities including strains of the species Lactobacillus gasseri. However, L. gasseri (identified by 16S rRNA gene sequencing) has been associated with urogenital symptoms. Recently a new sister taxon of L. gasseri was described: L. paragasseri. L. paragasseri is also posited to have probiotic qualities. Methods Here, we present a genomic investigation of all (n = 79) publicly available genome assemblies for both species. These strains include isolates from the vaginal tract, gastrointestinal tract, urinary tract, oral cavity, wounds, and lungs. Results The two species cannot be distinguished from short-read sequencing of the 16S rRNA as the full-length gene sequences differ only by two nucleotides. Based upon average nucleotide identity (ANI), we identified 20 strains deposited as L. gasseri that are in fact representatives of L. paragasseri. Investigation of the genic content of the strains of these two species suggests recent divergence and/or frequent gene exchange between the two species. The genomes frequently harbored intact prophage sequences, including prophages identified in strains of both species. To further explore the antimicrobial potential associated with both species, genome assemblies were examined for biosynthetic gene clusters. Gassericin T and S were identified in 46 of the genome assemblies, with all L. paragasseri strains including one or both bacteriocins. This suggests that the properties once ascribed to L. gasseri may better represent the L. paragasseri species.
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Affiliation(s)
- Adriana Ene
- Bioinformatics Program, Loyola University of Chicago, Chicago, IL, United States of America
| | - Natalie Stegman
- Bioinformatics Program, Loyola University of Chicago, Chicago, IL, United States of America
| | - Alan Wolfe
- Department of Microbiology and Immunology, Loyola University of Chicago, Maywood, IL, United States of America
| | - Catherine Putonti
- Bioinformatics Program, Loyola University of Chicago, Chicago, IL, United States of America,Department of Microbiology and Immunology, Loyola University of Chicago, Maywood, IL, United States of America,Department of Biology, Loyola University of Chicago, Chicago, IL, United States of America
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Krog MC, Hugerth LW, Fransson E, Bashir Z, Nyboe Andersen A, Edfeldt G, Engstrand L, Schuppe-Koistinen I, Nielsen HS. OUP accepted manuscript. Hum Reprod 2022; 37:1525-1543. [PMID: 35553675 PMCID: PMC9247429 DOI: 10.1093/humrep/deac094] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 04/07/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
| | | | - Emma Fransson
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden
| | - Zahra Bashir
- The Recurrent Pregnancy Loss Unit, The Capital Region, Rigshospitalet and Hvidovre Hospital, Copenhagen University Hospitals, Copenhagen, Denmark
- Department of Obstetrics and Gynecology, University Hospital Zealand, Slagelse Hospital, Slagelse, Denmark
| | - Anders Nyboe Andersen
- The Fertility Department Section 4071, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Gabriella Edfeldt
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden
| | - Lars Engstrand
- Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden
- Science for Life Laboratory, Stockholm, Sweden
| | | | - Henriette Svarre Nielsen
- The Recurrent Pregnancy Loss Unit, The Capital Region, Rigshospitalet and Hvidovre Hospital, Copenhagen University Hospitals, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
- Department of Obstetrics and Gynecology, Copenhagen University Hospital, Hvidovre Hospital, Copenhagen, Denmark
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Andralojc KM, Molina MA, Qiu M, Spruijtenburg B, Rasing M, Pater B, Huynen MA, Dutilh BE, Ederveen THA, Elmelik D, Siebers AG, Loopik D, Bekkers RLM, Leenders WPJ, Melchers WJG. Novel high-resolution targeted sequencing of the cervicovaginal microbiome. BMC Biol 2021; 19:267. [PMID: 34915863 PMCID: PMC8680041 DOI: 10.1186/s12915-021-01204-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 12/02/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The cervicovaginal microbiome (CVM) plays a significant role in women's cervical health and disease. Microbial alterations at the species level and characteristic community state types (CST) have been associated with acquisition and persistence of high-risk human papillomavirus (hrHPV) infections that may result in progression of cervical lesions to malignancy. Current sequencing methods, especially most commonly used multiplex 16S rRNA gene sequencing, struggle to fully clarify these changes because they generally fail to provide sufficient taxonomic resolution to adequately perform species-level associative studies. To improve CVM species designation, we designed a novel sequencing tool targeting microbes at the species taxonomic rank and examined its potential for profiling the CVM. RESULTS We introduce an accessible and practical circular probe-based RNA sequencing (CiRNAseq) technology with the potential to profile and quantify the CVM. In vitro and in silico validations demonstrate that CiRNAseq can distinctively detect species in a mock mixed microbial environment, with the output data reflecting its ability to estimate microbes' abundance. Moreover, compared to 16S rRNA gene sequencing, CiRNAseq provides equivalent results but with improved sequencing sensitivity. Analyses of a cohort of cervical smears from hrHPV-negative women versus hrHPV-positive women with high-grade cervical intraepithelial neoplasia confirmed known differences in CST occurring in the CVM of women with hrHPV-induced lesions. The technique also revealed variations in microbial diversity and abundance in the CVM of hrHPV-positive women when compared to hrHPV-negative women. CONCLUSIONS CiRNAseq is a promising tool for studying the interplay between the CVM and hrHPV in cervical carcinogenesis. This technology could provide a better understanding of cervicovaginal CST and microbial species during health and disease, prompting the discovery of biomarkers, additional to hrHPV, that can help detect high-grade cervical lesions.
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Affiliation(s)
- Karolina M. Andralojc
- Department of Medical Microbiology, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
- Department of Biochemistry, Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands
| | - Mariano A. Molina
- Department of Medical Microbiology, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
- Department of Medical Microbiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mengjie Qiu
- Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands
| | - Bram Spruijtenburg
- Department of Medical Microbiology, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Menno Rasing
- Department of Biochemistry, Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands
| | - Bernard Pater
- Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands
| | - Martijn A. Huynen
- Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands
| | - Bas E. Dutilh
- Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands
- Theoretical Biology and Bioinformatics, Science for Life, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Thomas H. A. Ederveen
- Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands
| | - Duaa Elmelik
- Department of Biochemistry, Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands
| | - Albert G. Siebers
- Department of Pathology, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Diede Loopik
- Department of Obstetrics and Gynecology, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Ruud L. M. Bekkers
- Department of Obstetrics and Gynecology, Catharina Hospital, 5602 ZA Eindhoven, The Netherlands
- GROW, School for Oncology & Developmental Biology, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands
| | - William P. J. Leenders
- Department of Biochemistry, Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands
- Predica Diagnostics, Toernooiveld 1, 6525 GA Nijmegen, The Netherlands
| | - Willem J. G. Melchers
- Department of Medical Microbiology, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
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