The Oral Microbiome for Geographic Origin: An Italian Study

Ogbanga, Nengi; Nelson, Andrew; Ghignone, Stefano; Voyron, Samuele; Lovisolo, Flavia; Sguazzi, Giulia; Renò, Filippo; Migliario, Mario; Gino, Sarah; Procopio, Noemi

doi:10.1016/j.fsigen.2023.102841

Cited by 8 publications

(8 citation statements)

References 69 publications

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“…The oral microbiomes of our 12 volunteers showed a similar core microbiome, as previously published [13,22,23]. Interestingly, two profiles (SAL_2 and SAL_5) had additional bacterial orders not detected in other volunteers (Enterobacteriales for volunteer 2 and Pseudomonadales for volunteer 5).…”

Section: Discussionsupporting

confidence: 82%

“…Studies have supported the use of microbiome investigation as a promising tool in forensic sciences [3]. This microbiome analysis represents a complementary tool to STR, with applications ranging from body fluid identification [6][7][8] to post-mortem interval estimation [9][10][11], sexual attack detection [12] and geographic localization [13][14][15]. However, the main concerns for forensic application are the stability and reproducibility of microbiome analysis.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the Microbiome Identification of Forensically Relevant Biological Fluids: A Pilot Study

Gouello,

Henry,

Chadli

et al. 2024

Diagnostics

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In forensic sciences, body fluids, or biological traces, are a major source of information, and their identification can play a decisive role in criminal investigations. Currently, the nature of biological fluids is assessed using immunological, physico-chemical, mRNA and epigenetic methods, but these have limits in terms of sensitivity and specificity. The emergence of next-generation sequencing technologies offers new opportunities to identify the nature of body fluids by determining bacterial communities. The aim of this pilot study was to assess whether analysis of the bacterial communities in isolated and mixed biological fluids could reflect the situation observed in real forensics labs. Several samples commonly encountered in forensic sciences were tested from healthy volunteers: saliva, vaginal fluid, blood, semen and skin swabs. These samples were analyzed alone or in combination in a ratio of 1:1. Sequencing was performed on the Ion Gene StudioTM S5 automated sequencer. Fluids tested alone revealed a typical bacterial signature with specific bacterial orders, enabling formal identification of the fluid of interest, despite inter-individual variations. However, in biological fluid mixtures, the predominance of some bacterial microbiomes inhibited interpretation. Oral and vaginal microbiomes were clearly preponderant, and the relative abundance of their bacterial communities and/or the presence of common species between samples made it impossible to detect bacterial orders or genera from other fluids, although they were distinguishable from one another. However, using the beta diversity, salivary fluids were identified and could be distinguished from fluids in combination. While this method of fluid identification is promising, further analyses are required to consolidate the protocol and ensure reliability.

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Section: Discussionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Evaluation of the Microbiome Identification of Forensically Relevant Biological Fluids: A Pilot Study

Gouello,

Henry,

Chadli

et al. 2024

Diagnostics

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“…Previous studies have also shown that the composition of the microbiota varies across human populations (37,39,82). Likewise, the oral and nasal microbiota, either in health or disease, have been shown to vary across populations (83)(84)(85)(86). In this study, we found that the nasal microbiota of asthmatic subjects has a high relative abundance of Moraxella and Haemophilus (Table 2).…”

Section: Diversity and Composition Of The Nasal And Oral Microbiotas ...mentioning

confidence: 51%

Characterization of the upper respiratory tract microbiota in Chilean asthmatic children reveals compositional, functional, and structural differences

et al. 2023

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Around 155 million people worldwide suffer from asthma. In Chile, the prevalence of this disease in children is around 15% and has a high impact in the health system. Studies suggest that asthma is caused by multiple factors, including host genetics, antibiotic use, and the development of the airway microbiota. Here, we used 16S rRNA high-throughput sequencing to characterize the nasal and oral mucosae of 63 asthmatic and 89 healthy children (152 samples) from Santiago, Chile. We found that the nasal mucosa was dominated by a high abundance of Moraxella, Dolosigranulum, Haemophilus, Corynebacterium, Streptococcus, and Staphylococcus. In turn, the oral mucosa was characterized by a high abundance of Streptococcus, Haemophilus, Gemella, Veillonella, Neisseria, and Porphyromonas. Our results showed significantly (P < 0.001) lower alpha diversity and an over-abundance of Streptococcus (P < 0.01) in nasal samples from asthmatics compared to samples from healthy subjects. Community structure, as revealed by co-occurrence networks, showed different microbial interactions in asthmatic and healthy subjects, particularly in the nasal microbiota. The networks revealed keystone genera in each body site, including Prevotella, Leptotrichia, and Porphyromonas in the nasal microbiota, and Streptococcus, Granulicatella, and Veillonella in the oral microbiota. We also detected 51 functional pathways differentially abundant on the nasal mucosa of asthmatic subjects, although only 13 pathways were overrepresented in the asthmatic subjects (P < 0.05). We did not find any significant differences in microbial taxonomic (composition and structure) and functional diversity between the oral mucosa of asthmatic and healthy subjects. This study explores for the first time the relationships between the upper respiratory airways bacteriome and asthma in Chile. It demonstrates that the nasal cavity of children from Santiago harbors unique bacterial communities and identifies potential taxonomic and functional biomarkers of pediatric asthma.

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“…When changes occur in the normal structure of the microbiome, dysbioses appears, which if left unaddressed can lead to the appearance of oral or general pathologies [ 27 ]. Considering that variation in the oral microbiome was identified depending on the geographical location of the individuals [ 19 , 29 ], we wanted to highlight the presence or absence of certain microorganisms in a sample of children and adolescents from Oradea, Romania. The oral microbiome seems to be influenced by multiple factors [ 30 ], so in this study we followed the influence of variables such as age, gender, or body mass index on the investigated microorganisms.…”

Section: Discussionmentioning

confidence: 99%

“…The factors that influence the development of the microbiome still need to be researched, as well [ 2 ]. Moreover, it seems that there is also a geographical influence on the development of the oral microbiome and studies in different geographical regions are needed to identify the preferential composition of the microbiome in populations from different parts of the world [ 19 ]. Periodontal pathogenic bacteria are not sufficiently studied in children and, in Romania, there are no studies that investigated the oral periodontal pathogenic bacteria in children and adolescents.…”

Section: Introductionmentioning

confidence: 99%

The Relationship between Age, Gender, BMI, Diet, Salivary pH and Periodontal Pathogenic Bacteria in Children and Adolescents: A Cross-Sectional Study

Motoc,

Juncar,

Moca

et al. 2023

Biomedicines

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The oral microbiome can be influenced by many factors and its dysbiosis can have negative effects on oral and general health. The purpose of this study was to analyze the intensity of 11 periodontal pathogenic microorganisms identified in the oral cavity of a sample of children and adolescents from Oradea, Romania and to investigate the association of some variables (age, gender, body mass index, diet, and salivary pH) with the identified microorganisms. The cross-sectional study was conducted on a group of clinically healthy patients under the age of 18 years from Oradea, Romania. For the analysis of the periodontal pathogens, the micro-IDent kit was used, which determines 11 bacterial markers for periodontitis and peri-implantitis. The kit is based on the polymerase chain reaction (PCR). Bacterial sampling was carried out according to the manufacturer’s instructions. A total of 60 children (23 male, 37 female) were included in this study, and were divided into three different age categories. No statistically significant results were identified for gender. However statistically significant results were obtained for other variables. Positive results for Prevotella intermedia and Bacteroides forsythus were associated with ages between 13 and 18 years, while positive results for Capnocytophaga spp. were associated with ages between 2 and 5 years. Positive results for Prevotella intermedia, Bacteroides forsythus, Peptostreptococcus micros, Campylobacter rectus and Eikenella corodens were associated with an overweight BMI. Negative results for Prevotella intermedia and Eikenella corodens were associated with a natural diet in the first 6 months of life. Positive results for Fusobacterium nucleatum and Campylobacter rectus were associated with an acidic salivary pH. In this study, the identified periodontal pathogens were associated with age, body mass index, diet in the first 6 months of life, and salivary pH.

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The Oral Microbiome for Geographic Origin: An Italian Study

Cited by 8 publications

References 69 publications

Evaluation of the Microbiome Identification of Forensically Relevant Biological Fluids: A Pilot Study

Evaluation of the Microbiome Identification of Forensically Relevant Biological Fluids: A Pilot Study

Characterization of the upper respiratory tract microbiota in Chilean asthmatic children reveals compositional, functional, and structural differences

The Relationship between Age, Gender, BMI, Diet, Salivary pH and Periodontal Pathogenic Bacteria in Children and Adolescents: A Cross-Sectional Study

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