Trick Or Treating in Forensics—The Challenge of the Saliva Microbiome: a Narrative Review
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The Gut Microbiota and Inflammation
International Journal of Environmental Research and Public Health Review The Gut Microbiota and Inflammation: An Overview 1, 2 1, 1, , Zahraa Al Bander *, Marloes Dekker Nitert , Aya Mousa y and Negar Naderpoor * y 1 Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne 3168, Australia; [email protected] 2 School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane 4072, Australia; [email protected] * Correspondence: [email protected] (Z.A.B.); [email protected] (N.N.); Tel.: +61-38-572-2896 (N.N.) These authors contributed equally to this work. y Received: 10 September 2020; Accepted: 15 October 2020; Published: 19 October 2020 Abstract: The gut microbiota encompasses a diverse community of bacteria that carry out various functions influencing the overall health of the host. These comprise nutrient metabolism, immune system regulation and natural defence against infection. The presence of certain bacteria is associated with inflammatory molecules that may bring about inflammation in various body tissues. Inflammation underlies many chronic multisystem conditions including obesity, atherosclerosis, type 2 diabetes mellitus and inflammatory bowel disease. Inflammation may be triggered by structural components of the bacteria which can result in a cascade of inflammatory pathways involving interleukins and other cytokines. Similarly, by-products of metabolic processes in bacteria, including some short-chain fatty acids, can play a role in inhibiting inflammatory processes. In this review, we aimed to provide an overview of the relationship between the gut microbiota and inflammatory molecules and to highlight relevant knowledge gaps in this field. -
The Salivary Microbiome for Differentiating Individuals: Proof of Principle
Published in "Microbes and Infection 18(6): 399–405, 2016" which should be cited to refer to this work. The salivary microbiome for differentiating individuals: proof of principle Sarah L. Leake a, Marco Pagni b, Laurent Falquet b,c, Franco Taroni a,1, Gilbert Greub d,*,1 a School of Criminal Justice, University of Lausanne, Lausanne, Switzerland b Swiss Institute of Bioinformatics, Vital-IT Group, Lausanne, Switzerland c Department of Biology, University of Fribourg, Fribourg, Switzerland d Institute of Microbiology, Lausanne, Switzerland Abstract Human identification has played a prominent role in forensic science for the past two decades. Identification based on unique genetic traits is driving the field. However, this may have limitations, for instance, for twins. Moreover, high-throughput sequencing techniques are now available and may provide a high amount of data likely useful in forensic science. This study investigates the potential for bacteria found in the salivary microbiome to be used to differentiate individuals. Two different targets (16S rRNA and rpoB) were chosen to maximise coverage of the salivary microbiome and when combined, they increase the power of dif- ferentiation (identification). Paired-end Illumina high-throughput sequencing was used to analyse the bacterial composition of saliva from two different people at four different time points (t ¼ 0 and t ¼ 28 days and then one year later at t ¼ 0 and t ¼ 28 days). Five major phyla dominate the samples: Firmicutes, Proteobacteria, Actinobacteria, Bacteroidetes and Fusobacteria. Streptococcus, a Firmicutes, is one of the most abundant aerobic genera found in saliva and targeting Streptococcus rpoB has enabled a deeper characterisation of the different streptococci species, which cannot be differentiated using 16S rRNA alone. -
Human Microbiome: Your Body Is an Ecosystem
Human Microbiome: Your Body Is an Ecosystem This StepRead is based on an article provided by the American Museum of Natural History. What Is an Ecosystem? An ecosystem is a community of living things. The living things in an ecosystem interact with each other and with the non-living things around them. One example of an ecosystem is a forest. Every forest has a mix of living things, like plants and animals, and non-living things, like air, sunlight, rocks, and water. The mix of living and non-living things in each forest is unique. It is different from the mix of living and non-living things in any other ecosystem. You Are an Ecosystem The human body is also an ecosystem. There are trillions tiny organisms living in and on it. These organisms are known as microbes and include bacteria, viruses, and fungi. There are more of them living on just your skin right now than there are people on Earth. And there are a thousand times more than that in your gut! All the microbes in and on the human body form communities. The human body is an ecosystem. It is home to trillions of microbes. These communities are part of the ecosystem of the human Photo Credit: Gaby D’Alessandro/AMNH body. Together, all of these communities are known as the human microbiome. No two human microbiomes are the same. Because of this, you are a unique ecosystem. There is no other ecosystem like your body. Humans & Microbes Microbes have been around for more than 3.5 billion years. -
Maternal Diet Habits and the Salivary Microbiome of Caries-Free Children THESIS Presented in Partial Fulfillment of the Requirem
Maternal Diet Habits and the Salivary Microbiome of Caries-Free Children THESIS Presented in Partial Fulfillment of the Requirements for the Degree Master of Science in the Graduate School of The Ohio State University By Dr. Stephanie Chambers Furlong Graduate Program in Dentistry The Ohio State University 2013 Master's Examination Committee: Dr. Sarat Thikkurissy “Advisor” Dr. Purnima Kumar Dr. Homa Amini Copyright by Dr. Stephanie Chambers Furlong 2013 Abstract This cross-sectional clinical study examines maternal diet habits and child feeding practices in relation to the mother-child bacterial makeup. Mother-child dyads of caries- free children in four age cohorts between 0-18 years were included in this study. Mothers answered a 65-question survey on their own eating habits as well as child feeding and oral hygiene practices. Children and mothers also provided a saliva and plaque sample for analysis of microbial colonies. A total of sixty mother-child pairs were identified and included in the study. Of the 60 pairs, 11 were predentate infants, 20 had only primary teeth, 14 were in the mixed dentition state, and 15 had all permanent teeth. All but two diet variables showed no statistical difference between the mothers in each group at a level of significance of p<0.05. ANOVA analysis of the average s-OTU count showed the predentate group had a significantly lower bacterial diversity than the other groups (p<0.05). ANOVA analysis of the Bray-Curtis Similarity Index of the mother/child dyads showed no statistically significant difference between the groups (p<0.05). On average, this similarity index showed that each child shared on average about 50% of their salivary microbial profile with their mother. -
Structure and Function of the Global Ocean Microbiome
Structure and function of the global ocean microbiome Shinichi Sunagawa, Luis Pedro Coelho, Samuel Chaffron, Jens Roat Kultima, Karine Labadie, Guillem Salazar, Bardya Djahanschiri, Georg Zeller, Daniel R. Mende, Adriana Alberti, et al. To cite this version: Shinichi Sunagawa, Luis Pedro Coelho, Samuel Chaffron, Jens Roat Kultima, Karine Labadie, et al.. Structure and function of the global ocean microbiome. Science, American Association for the Advancement of Science, 2015, 348 (6237), pp.1261359. 10.1126/science.1261359. hal-01233742 HAL Id: hal-01233742 https://hal.archives-ouvertes.fr/hal-01233742 Submitted on 14 Apr 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Revised Manuscript: Confidential 29 January 2015 Colors used throughout the revision of pre -edited manuscript Edits by Science editor in blue Edits by the A uthors in green Title: Structure and Function of the Global Ocean Microbiome Authors: Shinichi S unagawa 1,†,* , Luis Pedro Coelho 1,† , Samuel Chaffron 2,3,4,† , Jens Roat Kultima 1, Karine Labadie 5, Guillem Salazar 6, Bardya Djahanschiri 1, Georg Zeller 1, Daniel R. Mende 1, Adriana Alberti 5, Francisco M. Cornejo -Castillo 6, Paul I. Costea 1, Corinne Cruaud 5, Fr ancesco d'Ovidio 7, Stefan Engelen 5, Isabel Ferrera 6, Josep M. -
Salivary Microbiota Shifts Under Sustained Consumption of Oolong Tea in Healthy Adults
nutrients Article Salivary Microbiota Shifts under Sustained Consumption of Oolong Tea in Healthy Adults Zhibin Liu, Hongwen Guo, Wen Zhang and Li Ni * Institute of Food Science & Technology, Fuzhou University, Fuzhou 350108, China; [email protected] (Z.L.); [email protected] (H.G.); [email protected] (W.Z.) * Correspondence: [email protected]; Tel.: +86-591-2286-6378 Received: 16 February 2020; Accepted: 25 March 2020; Published: 31 March 2020 Abstract: Tea is the most widely consumed beverages next to water, however little is known about the influence of sustained tea consumption on the oral bacteria of healthy adults. In this study, three oral healthy adults were recruited and instructed to consume 1.0 L of oolong tea infusions (total polyphenol content, 2.83 g/L) daily, for eight weeks. Salivary microbiota pre-, peri-, and post-treatment were fully compared by high-throughput 16S rRNA sequencing and multivariate statistical analysis. It was revealed that oolong tea consumption reduced salivary bacterial diversity and the population of some oral disease related bacteria, such as Streptococcus sp., Prevotella nanceiensis, Fusobacterium periodonticum, Alloprevotella rava, and Prevotella elaninogenica. Moreover, via correlation network and Venn diagram analyses, seven bacterial taxa, including Streptococcus sp. (OTU_1), Ruminococcaceae sp. (OTU_33), Haemophilus sp. (OTU_696), Veillonella spp. (OTU_133 and OTU_23), Actinomyces odontolyticus (OTU_42), and Gemella haemolysans (OTU_6), were significantly altered after oolong tea consumption, and presented robust strong connections (|r| > 0.9 and p < 0.05) with other oral microbiota. These results suggest sustained oolong tea consumption would modulate salivary microbiota and generate potential oral pathogen preventative benefits. -
The Human Gut Microbiota: a Dynamic Interplay with the Host from Birth to Senescence Settled During Childhood
Review nature publishing group The human gut microbiota: a dynamic interplay with the host from birth to senescence settled during childhood Lorenza Putignani1, Federica Del Chierico2, Andrea Petrucca2,3, Pamela Vernocchi2,4 and Bruno Dallapiccola5 The microbiota “organ” is the central bioreactor of the gastroin- producing immunological memory (2). Indeed, the intestinal testinal tract, populated by a total of 1014 bacteria and charac- epithelium at the interface between microbiota and lymphoid terized by a genomic content (microbiome), which represents tissue plays a crucial role in the mucosa immune response more than 100 times the human genome. The microbiota (2). The IS ability to coevolve with the microbiota during the plays an important role in child health by acting as a barrier perinatal life allows the host and the microbiota to coexist in a against pathogens and their invasion with a highly dynamic relationship of mutual benefit, which consists in dispensing, in modality, exerting metabolic multistep functions and stimu- a highly coordinated way, specific immune responses toward lating the development of the host immune system, through the biomass of foreign antigens, and in discriminating false well-organized programming, which influences all of the alarms triggered by benign antigens (2). The failure to obtain growth and aging processes. The advent of “omics” technolo- or maintain this complex homeostasis has a negative impact gies (genomics, proteomics, metabolomics), characterized by on the intestinal and systemic health (2). Once the balance complex technological platforms and advanced analytical and fails, the “disturbance” causes the disease, triggering an abnor- computational procedures, has opened new avenues to the mal inflammatory response as it happens, for example, for the knowledge of the gut microbiota ecosystem, clarifying some inflammatory bowel diseases in newborns (2). -
The Role of the Microbiome in Oral Squamous Cell Carcinoma with Insight Into the Microbiome–Treatment Axis
International Journal of Molecular Sciences Review The Role of the Microbiome in Oral Squamous Cell Carcinoma with Insight into the Microbiome–Treatment Axis Amel Sami 1,2, Imad Elimairi 2,* , Catherine Stanton 1,3, R. Paul Ross 1 and C. Anthony Ryan 4 1 APC Microbiome Ireland, School of Microbiology, University College Cork, Cork T12 YN60, Ireland; [email protected] (A.S.); [email protected] (C.S.); [email protected] (R.P.R.) 2 Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, National Ribat University, Nile Street, Khartoum 1111, Sudan 3 Teagasc Food Research Centre, Moorepark, Fermoy, Cork P61 C996, Ireland 4 Department of Paediatrics and Child Health, University College Cork, Cork T12 DFK4, Ireland; [email protected] * Correspondence: [email protected] Received: 30 August 2020; Accepted: 12 October 2020; Published: 29 October 2020 Abstract: Oral squamous cell carcinoma (OSCC) is one of the leading presentations of head and neck cancer (HNC). The first part of this review will describe the highlights of the oral microbiome in health and normal development while demonstrating how both the oral and gut microbiome can map OSCC development, progression, treatment and the potential side effects associated with its management. We then scope the dynamics of the various microorganisms of the oral cavity, including bacteria, mycoplasma, fungi, archaea and viruses, and describe the characteristic roles they may play in OSCC development. We also highlight how the human immunodeficiency viruses (HIV) may impinge on the host microbiome and increase the burden of oral premalignant lesions and OSCC in patients with HIV. Finally, we summarise current insights into the microbiome–treatment axis pertaining to OSCC, and show how the microbiome is affected by radiotherapy, chemotherapy, immunotherapy and also how these therapies are affected by the state of the microbiome, potentially determining the success or failure of some of these treatments. -
Microbial Community Design: Methods, Applications, And
Available online at www.sciencedirect.com ScienceDirect Microbial community design: methods, applications, and opportunities 1 1,2,3,4,5 Alexander Eng and Elhanan Borenstein Microbial communities can perform a variety of behaviors that microbially produced butyrate contributes to colonic are useful in both therapeutic and industrial settings. health via its function as an important energy source Engineered communities that differ in composition from [1] and anti-inflammatory agent [2]. Proper immune naturally occurring communities offer a unique opportunity for system development also relies on the gut microbiome, improving upon existing community functions and expanding which modulates aspects such as lymphoid structure the range of microbial community applications. This has development and T cell differentiation [3,4]. Beyond prompted recent advances in various community design human health, microbial activity is important to a range approaches including artificial selection procedures, reduction of industrial applications including microbially mediated from existing communities, combinatorial evaluation of denitrification in wastewater treatment [5,6] and biofuel potential microbial combinations, and model-based in silico production [7,8]. These microbial influences also extend community optimization. Computational methods in particular to agriculture, where bacteria support plant access to offer a likely avenue toward improved synthetic community nitrogen [9,10] and phosphorus [11]. development going forward. This review introduces each class of design approach and surveys their recent applications and These myriad important functions suggest that microbial notable innovations, closing with a discussion of existing communities can serve as a prime target for medical, design challenges and potential opportunities for agricultural, and industrial advancement and have advancement. sparked recent interest in developing microbiome-based biotechnologies and therapeutics [12 ,13]. -
The Salivary Microbiota in Health and Disease
The salivary microbiota in health and disease Belstrøm, Daniel Published in: Journal of Oral Microbiology DOI: 10.1080/20002297.2020.1723975 Publication date: 2020 Document version Publisher's PDF, also known as Version of record Document license: CC BY Citation for published version (APA): Belstrøm, D. (2020). The salivary microbiota in health and disease. Journal of Oral Microbiology, 12(1), [1723975]. https://doi.org/10.1080/20002297.2020.1723975 Download date: 28. Sep. 2021 Journal of Oral Microbiology ISSN: (Print) 2000-2297 (Online) Journal homepage: https://www.tandfonline.com/loi/zjom20 The salivary microbiota in health and disease Daniel Belstrøm To cite this article: Daniel Belstrøm (2020) The salivary microbiota in health and disease, Journal of Oral Microbiology, 12:1, 1723975, DOI: 10.1080/20002297.2020.1723975 To link to this article: https://doi.org/10.1080/20002297.2020.1723975 © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Published online: 04 Feb 2020. Submit your article to this journal Article views: 47 View related articles View Crossmark data Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=zjom20 JOURNAL OF ORAL MICROBIOLOGY 2020, VOL. 12, 1723975 https://doi.org/10.1080/20002297.2020.1723975 The salivary microbiota in health and disease Daniel Belstrøm Section for Periodontology and Microbiology, Department of Odontology, University of Copenhagen, Copenhagen, Denmark ABSTRACT ARTICLE HISTORY The salivary microbiota (SM), comprising bacteria shed from oral surfaces, has been shown to be Received 10 October 2019 individualized, temporally stable and influenced by diet and lifestyle. -
Corals and Sponges Under the Light of the Holobiont Concept: How Microbiomes Underpin Our Understanding of Marine Ecosystems
fmars-08-698853 August 11, 2021 Time: 11:16 # 1 REVIEW published: 16 August 2021 doi: 10.3389/fmars.2021.698853 Corals and Sponges Under the Light of the Holobiont Concept: How Microbiomes Underpin Our Understanding of Marine Ecosystems Chloé Stévenne*†, Maud Micha*†, Jean-Christophe Plumier and Stéphane Roberty InBioS – Animal Physiology and Ecophysiology, Department of Biology, Ecology & Evolution, University of Liège, Liège, Belgium In the past 20 years, a new concept has slowly emerged and expanded to various domains of marine biology research: the holobiont. A holobiont describes the consortium formed by a eukaryotic host and its associated microorganisms including Edited by: bacteria, archaea, protists, microalgae, fungi, and viruses. From coral reefs to the Viola Liebich, deep-sea, symbiotic relationships and host–microbiome interactions are omnipresent Bremen Society for Natural Sciences, and central to the health of marine ecosystems. Studying marine organisms under Germany the light of the holobiont is a new paradigm that impacts many aspects of marine Reviewed by: Carlotta Nonnis Marzano, sciences. This approach is an innovative way of understanding the complex functioning University of Bari Aldo Moro, Italy of marine organisms, their evolution, their ecological roles within their ecosystems, and Maria Pia Miglietta, Texas A&M University at Galveston, their adaptation to face environmental changes. This review offers a broad insight into United States key concepts of holobiont studies and into the current knowledge of marine model *Correspondence: holobionts. Firstly, the history of the holobiont concept and the expansion of its use Chloé Stévenne from evolutionary sciences to other fields of marine biology will be discussed. -
Helicobacter Pylori Infection and Salivary Microbiome Yingjie Ji, Xiao Liang and Hong Lu*
Ji et al. BMC Oral Health (2020) 20:84 https://doi.org/10.1186/s12903-020-01070-1 RESEARCH ARTICLE Open Access Analysis of by high-throughput sequencing: Helicobacter pylori infection and salivary microbiome Yingjie Ji, Xiao Liang and Hong Lu* Abstracts Background: There have been reports of Helicobacter pylori (H. pylori) in the oral cavity and it has been suggested that the oral cavity may be a reservoir for H. pylori reflux from the stomach. High-throughput sequencing was used to assess the structure and composition of oral microbiota communities in individuals with or without confirmed H. pylori infection. Methods: Saliva samples were obtained from 34 H. pylori infected and 24 H. pylori uninfected subjects. Bacterial genomic DNA was extracted and examined by sequencing by amplification of the 16S rDNA V3-V4 hypervariable regions followed by bioinformatics analysis. Saliva sampling was repeated from 22 of the 34 H. pylori infected subjects 2 months after H. pylori eradication. Results: High-quality sequences (2,812,659) clustered into 95,812 operational taxonomic units (OTUs; 97% identity). H. pylori was detected in the oral cavity in infected (12/34), uninfected (11/24) and eradicated (15/22) subjects by technique of high-throughput sequencing, occupying 0.0139% of the total sequences. Alpha diversity of H. pylori infected subjects was similar to that of uninfected subjects (Shannon: 1417.58 vs. 1393.60, p > 0.05, ACE: 1491.22 vs. 1465.97, p > 0.05, Chao 1: 1417.58 vs. 1393.60, p > 0.05, t-test). Eradication treatment decreased salivary bacterial diversity (Shannon, p = 0.015, ACE, p = 0.003, Chao 1, p = 0.002, t-test).