23 research outputs found

    Analysis of the salivary microbiome using culture-independent techniques

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    The salivary microbiota is a potential diagnostic indicator of several diseases. Culture-independent techniques are required to study the salivary microbial community since many of its members have not been cultivated

    Π˜Π½Ρ„Π΅ΠΊΡ†ΠΈΡ вируса гСрпСса Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° 7 Ρ‚ΠΈΠΏΠ° Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ. Клинико-Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹Π΅ аспСкты

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    Objective: to study the activity of HSV 1,2, EBV, CMV, HHV6, HHV7 in children of different age groups, to determine the frequency of various symptoms and syndromes in the examined children depending on hhv7 monoinfection and combined herpetic infection in the age aspect.Materials and methods: 56 children aged 2 to 18 years were examined at the state MEDICAL research Institute named after Prof. A. F. Agafonov in Kazan, at the BIOMED medical and diagnostic center in Kazan and at the LUCH children’s clinic in Naberezhnye Chelny (boys accounted for 62.5% of cases, girls-37.5%). Verification of the diagnosis and evaluation of the dynamics of etiological markers of the infectious process in all observed children was performed by PCR. Blood and saliva were examined to detect markers of human herpes virus type 7 (in qualitative PCR), and blood, oropharyngeal flushing, and urine were examined in semiquantitative PCR to determine other viruses from the herpes family (HHV6, CMV, EBV). In enzyme immunoassay is determined At the same time, we studied options for combining laboratory markers of herpesvirus activity and changes in the main laboratory parameters used in routine practice. We studied the dynamics of the observed parameters against the background of complex antiviral therapy for the next 3 months after the initial examination. The frequency of occurrence of various symptoms and syndromes was determined depending on the activity of various representatives of the herpes family, their combination, and the age of the subjects.Results of the study: HHV7-monoinfection is more typical for the age group of 7-14 years. The significance of mixed HHV6+HHV7 infection decreased with age. The combination of activity of 4 herpesviruses was more often registered in the age categories 2-7 years and 14-18 years. More often, patients had tonsillitis, generalized cervical lymphadenopathy, periodic temperature rise to subfebrile or febrile numbers, pharyngitis, recurrent ARI, rhinitis, which allows us to consider them as the main manifestations of HHV7 infection.Conclusion: HHV7 infection is significant in the modern pathology of the child. The presence of such syndromes as recurrent tonsillitis, cervical lymphadenopathy or isolated enlargement of submandibular lymph nodes, periodic fever, pharyngitis, recurrent ARI in combination with hepato - and/ or splenomegaly, fatigue, and headache is often associated with HHV7. HHV7-viremia is relatively rare, despite obvious clinical and laboratory signs of inflammation indicating the presence of a viral disease, which, apparently, and is theΒ cause of underdiagnosis and lack of proper attention to this infection. ЦСль: ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ активности Π’ΠŸΠ“ 1,2, Π­Π‘Π’, Π¦ΠœΠ’, Π’Π“Π§6, Π’Π“Π§7 Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… возрастных Π³Ρ€ΡƒΠΏΠΏ, ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ частоты встрСчаСмости Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… симптомов ΠΈ синдромов Ρƒ обслСдованных Π΄Π΅Ρ‚Π΅ΠΉ Π² зависимости ΠΎΡ‚ ΠΌΠΎΠ½ΠΎΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ Π’Π“Π§7 ΠΈ сочСтанной гСрпСтичСской ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ Π² возрастном аспСктС.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹: обслСдовано 56 Π΄Π΅Ρ‚Π΅ΠΉ Π² возрастС ΠΎΡ‚ 2 Π΄ΠΎ 18 Π»Π΅Ρ‚ Π² РСспубликанской клиничСской ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠΉ Π±ΠΎΠ»ΡŒΠ½ΠΈΡ†Π΅ ΠΈΠΌ. ΠΏΡ€ΠΎΡ„. А.Π€. Агафонова Π³. Казани, ООО Β«Π›Π΅Ρ‡Π΅Π±Π½ΠΎ-диагностичСском Ρ†Π΅Π½Ρ‚Ρ€Π΅ Π‘Π˜ΠžΠœΠ•Π”Β» Π³. Казани ΠΈ дСтской ΠΊΠ»ΠΈΠ½ΠΈΠΊΠ΅ Β«Π›Π£Π§Β» Π³. НабСрСТныС Π§Π΅Π»Π½Ρ‹ (ΠΌΠ°Π»ΡŒΡ‡ΠΈΠΊΠΈ составили 62,5% наблюдСний, Π΄Π΅Π²ΠΎΡ‡ΠΊΠΈ – 37,5%). ВСрификация Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ этиологичСских ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ процСсса Ρƒ всСх Π½Π°Π±Π»ΡŽΠ΄Π°Π²ΡˆΠΈΡ…ΡΡ Π΄Π΅Ρ‚Π΅ΠΉ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠ»Π°ΡΡŒ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΎΠΉ ПЦР. ИсслСдовали ΠΊΡ€ΠΎΠ²ΡŒ ΠΈ ΡΠ»ΡŽΠ½Ρƒ для обнаруТСния ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² вируса гСрпСса Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° 7 Ρ‚ΠΈΠΏΠ° (Π² качСствСнной ПЦР), Π² полуколичСствСнной ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ΅ ПЦР исслСдовали ΠΊΡ€ΠΎΠ²ΡŒ, смыв ΠΈΠ· Ρ€ΠΎΡ‚ΠΎΠ³Π»ΠΎΡ‚ΠΊΠΈ, ΠΌΠΎΡ‡Ρƒ с Ρ†Π΅Π»ΡŒΡŽ опрСдСлСния Π΄Ρ€ΡƒΠ³ΠΈΡ… вирусов ΠΈΠ· сСмСйства гСрпСсов (Π’Π“Π§6, Π¦ΠœΠ’, Π­Π‘Π’). Π’ ΠΈΠΌΠΌΡƒΠ½ΠΎΡ„Π΅Ρ€ΠΌΠ΅Π½Ρ‚Π½ΠΎΠΌ Π°Π½Π°Π»ΠΈΠ·Π΅ опрСдСляли IgM ΠΊ капсидному ΠΈ IgG ΠΊ Ρ€Π°Π½Π½Π΅ΠΌΡƒ Π°Π½Ρ‚ΠΈΠ³Π΅Π½Ρƒ Π­Π‘Π’, IgM ΠΊ Π¦ΠœΠ’, IgG ΠΊ Π’Π“Π§ 6 с коэффициСнтом позитивности. ΠŸΠ°Ρ€Π°Π»Π»Π΅Π»ΡŒΠ½ΠΎ исслСдовали Π²Π°Ρ€ΠΈΠ°Π½Ρ‚Ρ‹ сочСтания Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹Ρ… ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² активности гСрпСс-вирусов ΠΈ измСнСния основных Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹Ρ… ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅ΠΌΡ‹Ρ… Π² Ρ€ΡƒΡ‚ΠΈΠ½Π½ΠΎΠΉ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ΅. Π˜Π·ΡƒΡ‡Π°Π»Π°ΡΡŒ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ° Π½Π°Π±Π»ΡŽΠ΄Π°Π΅ΠΌΡ‹Ρ… ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Π½Π° Ρ„ΠΎΠ½Π΅ комплСксной противовирусной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΡ… послС ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ обслСдования 3 мСсяцСв. ΠžΠΏΡ€Π΅Π΄Π΅Π»ΡΠ»Π°ΡΡŒ частота встрСчаСмости Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… симптомов ΠΈ синдромов Π² зависимости ΠΎΡ‚ активности Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… прСдставитСлСй сСмСйства гСрпСсов, ΠΈΡ… сочСтания, возраста исслСдуСмых.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹: Π’Π“Π§7-моноинфСкция Π±ΠΎΠ»Π΅Π΅ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π½Π° для возрастной ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΈ 7–14 Π»Π΅Ρ‚. Π—Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ смСшанной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ Π’Π“Π§6+Π’Π“Π§7 с возрастом ΡƒΠΌΠ΅Π½ΡŒΡˆΠ°Π»Π°ΡΡŒ. Π‘ΠΎΡ‡Π΅Ρ‚Π°Π½ΠΈΠ΅ активности 4 гСрпСс-вирусов Ρ‡Π°Ρ‰Π΅ Ρ€Π΅Π³ΠΈΡΡ‚Ρ€ΠΈΡ€ΠΎΠ²Π°Π»ΠΎΡΡŒ Π² возрастных катСгориях 2–7 Π»Π΅Ρ‚ ΠΈ 14–18 Π»Π΅Ρ‚. Π§Π°Ρ‰Π΅ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² ΠΎΡ‚ΠΌΠ΅Ρ‡Π°Π»ΠΈΡΡŒ Ρ‚ΠΎΠ½Π·ΠΈΠ»Π»ΠΈΡ‚, гСнСрализованная шСйная лимфадСнопатия, пСриодичСскоС ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ Π΄ΠΎ ΡΡƒΠ±Ρ„Π΅Π±Ρ€ΠΈΠ»ΡŒΠ½Ρ‹Ρ… ΠΈΠ»ΠΈ Ρ„Π΅Π±Ρ€ΠΈΠ»ΡŒΠ½Ρ‹Ρ… Ρ†ΠΈΡ„Ρ€, Ρ„Π°Ρ€ΠΈΠ½Π³ΠΈΡ‚, Ρ€Π΅ΠΊΡƒΡ€Ρ€Π΅Π½Ρ‚Π½Ρ‹Π΅ острыС рСспираторныС ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ, Ρ€ΠΈΠ½ΠΈΡ‚, Ρ‡Ρ‚ΠΎ позволяСт Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°Ρ‚ΡŒ ΠΈΡ… ΠΊΠ°ΠΊ основныС проявлСния Π’Π“Π§7-ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅: Π’Π“Π§7-инфСкция Π·Π½Π°Ρ‡ΠΈΠΌΠ° Π² соврСмСнной ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ Ρ€Π΅Π±Π΅Π½ΠΊΠ°. НаличиС Ρ‚Π°ΠΊΠΈΡ… синдромов, ΠΊΠ°ΠΊ Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²ΠΈΡ€ΡƒΡŽΡ‰ΠΈΠΉ Ρ‚ΠΎΠ½Π·ΠΈΠ»Π»ΠΈΡ‚, шСйная лимфадСнопатия ΠΈΠ»ΠΈ ΠΈΠ·ΠΎΠ»ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ ΠΏΠΎΠ΄Ρ‡Π΅Π»ΡŽΡΡ‚Π½Ρ‹Ρ… Π»ΠΈΠΌΡ„ΠΎΡƒΠ·Π»ΠΎΠ², пСриодичСскоС ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹, Ρ„Π°Ρ€ΠΈΠ½Π³ΠΈΡ‚, Ρ€Π΅ΠΊΡƒΡ€Ρ€Π΅Π½Ρ‚Π½Ρ‹Π΅ острыС рСспираторныС ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ Π² сочСтании с Π³Π΅ΠΏΠ°Ρ‚ΠΎ- ΠΈ/ΠΈΠ»ΠΈ сплСномСгалиСй, ΡƒΡΡ‚Π°Π»ΠΎΡΡ‚ΡŒΡŽ, Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠΉ болью, часто ассоциировано с Π’Π“Π§7. Π’Π“Π§7-вирСмия рСгистрируСтся ΡΡ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Ρ€Π΅Π΄ΠΊΠΎ, нСсмотря Π½Π° ΠΎΡ‡Π΅Π²ΠΈΠ΄Π½Ρ‹Π΅ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹Π΅ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ воспалСния, ΡƒΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‰ΠΈΠ΅ Π½Π° Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ вирусного заболСвания, Ρ‡Ρ‚ΠΎ, ΠΏΠΎΠ²ΠΈΠ΄ΠΈΠΌΠΎΠΌΡƒ, ΠΈ являСтся ΠΏΡ€ΠΈΡ‡ΠΈΠ½ΠΎΠΉ гиподиагностики ΠΈ отсутствия Π΄ΠΎΠ»ΠΆΠ½ΠΎΠ³ΠΎ внимания ΠΊ этой ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ.

    Comparative analysis of bacterial profiles in unstimulated and stimulated saliva samples

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    Background and objective: The microbial profiles of stimulated saliva samples have been shown to differentiate between patients with periodontitis, patients with dental caries, and orally healthy individuals. Saliva was stimulated to allow for easy and rapid collection; however, microbial composition may not reflect the more natural, unstimulated state. The purpose of this study was to validate whether stimulated saliva is an adequate surrogate for unstimulated saliva in determining salivary microbiomes. Design: Unstimulated (n=20) and stimulated (n=20) saliva samples were collected from 20 orally and systemically healthy, non-smoking participants. Salivary bacterial profiles were analyzed by means of the Human Oral Microbe Identification using Next Generation Sequencing (HOMINGS), and statistical analysis was performed using Mann–Whitney test with Benjamini–Hochberg's correction for multiple comparison, cluster analysis, principal component analysis, and correspondence analysis. Results: From a total of 40 saliva samples, 496 probe targets were identified with a mean number of targets per sample of 203 (range: 146–303), and a mean number of probe targets of 206 and 200 in unstimulated and stimulated saliva samples, respectively (p=0.62). Based on all statistical methods used for this study, the microbial profiles of unstimulated and stimulated saliva samples collected from the same person were not statistically significantly different. Conclusions: Analysis of bacterial salivary profiles in unstimulated and stimulated saliva samples collected from the same individual showed comparable results. Thus, the results verify that stimulated saliva is an adequate surrogate of unstimulated saliva for microbiome-related studies

    Salivary bacterial fingerprints of established oral disease revealed by the Human Oral Microbe Identification using Next Generation Sequencing (HOMINGS) technique

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    Background and objective: The composition of the salivary microbiota, as determined using various molecular methods, has been reported to differentiate oral health from diseases. Thus, the purpose of this study was to utilize the newly developed molecular technique HOMINGS (Human Oral Microbe Identification using Next Generation Sequencing) for comparison of the salivary microbiota in patients with periodontitis, patients with dental caries, and orally healthy individuals. The hypothesis was that this method could add on to the existing knowledge on salivary bacterial profiles in oral health and disease. Design: Stimulated saliva samples (n=30) were collected from 10 patients with untreated periodontitis, 10 patients with untreated dental caries, and 10 orally healthy individuals. Salivary microbiota was analyzed using HOMINGS and statistical analysis was performed using Kruskal–Wallis test with Benjamini–Hochberg's correction. Results: From a total of 30 saliva samples, a mean number of probe targets of 205 (range 120–353) were identified, and a statistically significant higher mean number of targets was registered in samples from patients with periodontitis (mean 220, range 143–306) and dental caries (mean 221, range 165–353) as compared to orally healthy individuals (mean 174, range 120–260) (p=0.04 and p=0.04). Nine probe targets were identified with a different relative abundance between groups (p<0.05). Conclusions: Cross-sectional comparison of salivary bacterial profiles by means of HOMINGS analysis showed that different salivary bacterial profiles were associated with oral health and disease. Future large-scale prospective studies are needed to evaluate if saliva-based screening for disease-associated oral bacterial profiles may be used for identification of patients at risk of acquiring periodontitis and dental caries

    ГСрпСс-вирусы 6 ΠΈ 7 Ρ‚ΠΈΠΏΠ°: взгляд ΠΏΠ΅Π΄ΠΈΠ°Ρ‚Ρ€Π°

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    Herpetic diseases are widespread among cancer patients and are of interest to specialists in various fields. It is herpetic infections that are often common among cases of infant mortality. The main causative agents of herpetic phenomena in humans are manifested by the 8 most studied types of the virus. The article presents a review of modern scientific literature on herpetic diseases caused by herpes viruses 6 and 7. The issues of the history of the study of diseases, etiology, features of the distribution, the pathogenesis of diseases, a wide manifestation of manifestations in childhood, diagnosis, and tactics of managing patients are outlined.ГСрпСтичСскиС ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ ΡˆΠΈΡ€ΠΎΠΊΠΎ распространСны Π² чСловСчСской популяции, ΠΈ интСрСс ΠΊ Π½ΠΈΠΌ срСди спСциалистов Ρ€Π°Π·Π½ΠΎΠ³ΠΎ профиля постоянно возрастаСт, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ ΠΎΠ½ΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ ΠΏΡ€ΠΈΡ‡ΠΈΠ½ΠΎΠΉ развития большого спСктра соматичСских ΠΈ онкологичСских Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ. ИмСнно гСрпСтичСскиС ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ часто ΡΠ²Π»ΡΡŽΡ‚ΡΡ ΠΏΡ€ΠΈΡ‡ΠΈΠ½Π°ΠΌΠΈ ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… Ρ€ΠΎΠ΄ΠΎΠ², младСнчСской смСртности. ΠžΡΠ½ΠΎΠ²Π½Ρ‹Π΅ Π²ΠΎΠ·Π±ΡƒΠ΄ΠΈΡ‚Π΅Π»ΠΈ гСрпСтичСских ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ Ρƒ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° прСдставлСны 8 Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΈΠ·ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΌΠΈ Ρ‚ΠΈΠΏΠ°ΠΌΠΈ вируса. Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСн ΠΎΠ±Π·ΠΎΡ€ соврСмСнной Π½Π°ΡƒΡ‡Π½ΠΎΠΉ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ ΠΏΠΎ вопросам гСрпСтичСских ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ, Π²Ρ‹Π·Π²Π°Π½Π½Ρ‹Ρ… гСрпСс-вирусами 6-Π³ΠΎ ΠΈ 7-Π³ΠΎ Ρ‚ΠΈΠΏΠ°. Π˜Π·Π»ΠΎΠΆΠ΅Π½Ρ‹ вопросы истории изучСния заболСвания, этиология, особСнности распространСния, ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π΅Π· заболСвания, основныС клиничСскиС проявлСния Π² дСтском возрастС, диагностика ΠΈ Ρ‚Π°ΠΊΡ‚ΠΈΠΊΠ° вСдСния ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ²

    Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls

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    Background The composition of the salivary microbiota has been reported to differentiate between patients with periodontitis, dental caries and orally healthy individuals. To identify characteristics of diseased and healthy saliva we thus wanted to compare saliva metaproteomes from patients with periodontitis and dental caries to healthy individuals. Methods Stimulated saliva samples were collected from 10 patients with periodontitis, 10 patients with dental caries and 10 orally healthy individuals. The proteins in the saliva samples were subjected to denaturing buffer and digested enzymatically with LysC and trypsin. The resulting peptide mixtures were cleaned up by solid-phase extraction and separated online with 2 h gradients by nano-scale C18 reversed-phase chromatography connected to a mass spectrometer through an electrospray source. The eluting peptides were analyzed on a tandem mass spectrometer operated in data-dependent acquisition mode. Results We identified a total of 35,664 unique peptides from 4,161 different proteins, of which 1,946 and 2,090 were of bacterial and human origin, respectively. The human protein profiles displayed significant overexpression of the complement system and inflammatory markers in periodontitis and dental caries compared to healthy controls. Bacterial proteome profiles and functional annotation were very similar in health and disease. Conclusions Overexpression of proteins related to the complement system and inflammation seems to correlate with oral disease status. Similar bacterial proteomes in healthy and diseased individuals suggests that the salivary microbiota predominantly thrives in a planktonic state expressing no disease-associated characteristics of metabolic activity

    High throughput DNA sequencing to detect differences in the subgingival plaque microbiome in elderly subjects with and without dementia

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    BACKGROUND: To investigate the potential association between oral health and cognitive function, a pilot study was conducted to evaluate high throughput DNA sequencing of the V3 region of the 16S ribosomal RNA gene for determining the relative abundance of bacterial taxa in subgingival plaque from older adults with or without dementia. METHODS: Subgingival plaque samples were obtained from ten individuals at least 70 years old who participated in a study to assess oral health and cognitive function. DNA was isolated from the samples and a gene segment from the V3 portion of the 16S bacterial ribosomal RNA gene was amplified and sequenced using an Illumina HiSeq1000 DNA sequencer. Bacterial populations found in the subgingival plaque were identified and assessed with respect to the cognitive status and oral health of the participants who provided the samples. RESULTS: More than two million high quality DNA sequences were obtained from each sample. Individuals differed greatly in the mix of phylotypes, but different sites from different subgingival depths in the same subject were usually similar. No consistent differences were observed in this small sample between subjects separated by levels of oral health, sex, or age; however a consistently higher level of Fusobacteriaceae and a generally lower level of Prevotellaceae was seen in subjects without dementia, although the difference did not reach statistical significance, possibly because of the small sample size. CONCLUSIONS: The results from this pilot study provide suggestive evidence that alterations in the subgingival microbiome are associated with changes in cognitive function, and provide support for an expanded analysis of the role of the oral microbiome in dementia

    Changes and Oral Microbiome Shifts in HIV+ Patients Following Periodontal Therapy

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    The objective of this study was to compare clinical outcomes and oral microbiome changes following comprehensive dental care in HIV+ patients. Twenty-seven HIV+ patients received periodontal treatment, oral hygiene instructions, caries control, and extraction of hopeless teeth. Systemic (viral load, CD4 counts, ART regimen) and oral clinical parameters (presence of caries, gingival and plaque indices) were measured at baseline (BL), 12-months (12M), and 24-months (24M) after therapy. Differences between clinical and microbial parameters between BL, to 12M, or 24M were determined. Factors associated with changes in relative abundance of bacterial genera include smoking status, CD4 counts, and anti-retroviral mediation status. Several genera appear to be driving changes including Megasphaera, Kingella, Veillonella, and Prevotella. After one year of dental treatment, the oral microbiome shifts to a more HIV-negative, health-associated microbiome with increased alpha diversity of genera. This change in diversity plateaus in the second year of treatment in a well-maintained population.Master of Scienc
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