23 research outputs found
Analysis of the salivary microbiome using culture-independent techniques
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
Analysis of the salivary microbiome using culture-independent techniques
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
ΠΠ½ΡΠ΅ΠΊΡΠΈΡ Π²ΠΈΡΡΡΠ° Π³Π΅ΡΠΏΠ΅ΡΠ° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° 7 ΡΠΈΠΏΠ° Ρ Π΄Π΅ΡΠ΅ΠΉ. ΠΠ»ΠΈΠ½ΠΈΠΊΠΎ-Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠ΅ Π°ΡΠΏΠ΅ΠΊΡΡ
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 childrenβs 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.Β Π¦Π΅Π»Ρ: ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΠΠ 1,2, ΠΠΠ, Π¦ΠΠ, ΠΠΠ§6, ΠΠΠ§7 Ρ Π΄Π΅ΡΠ΅ΠΉ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΡΡ
Π³ΡΡΠΏΠΏ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠ°ΡΡΠΎΡΡ Π²ΡΡΡΠ΅ΡΠ°Π΅ΠΌΠΎΡΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΈΠΌΠΏΡΠΎΠΌΠΎΠ² ΠΈ ΡΠΈΠ½Π΄ΡΠΎΠΌΠΎΠ² Ρ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΡΡ
Π΄Π΅ΡΠ΅ΠΉ Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΠΌΠΎΠ½ΠΎΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΠΠΠ§7 ΠΈ ΡΠΎΡΠ΅ΡΠ°Π½Π½ΠΎΠΉ Π³Π΅ΡΠΏΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΠΎΠΌ Π°ΡΠΏΠ΅ΠΊΡΠ΅.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ: ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΎ 56 Π΄Π΅ΡΠ΅ΠΉ Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ ΠΎΡ 2 Π΄ΠΎ 18 Π»Π΅Ρ Π² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ°Π½ΡΠΊΠΎΠΉ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΉ Π±ΠΎΠ»ΡΠ½ΠΈΡΠ΅ ΠΈΠΌ. ΠΏΡΠΎΡ. Π.Π€. ΠΠ³Π°ΡΠΎΠ½ΠΎΠ²Π° Π³. ΠΠ°Π·Π°Π½ΠΈ, ΠΠΠ Β«ΠΠ΅ΡΠ΅Π±Π½ΠΎ-Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠ΅Π½ΡΡΠ΅ ΠΠΠΠΠΠΒ» Π³. ΠΠ°Π·Π°Π½ΠΈ ΠΈ Π΄Π΅ΡΡΠΊΠΎΠΉ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠ΅ Β«ΠΠ£Π§Β» Π³. ΠΠ°Π±Π΅ΡΠ΅ΠΆΠ½ΡΠ΅ Π§Π΅Π»Π½Ρ (ΠΌΠ°Π»ΡΡΠΈΠΊΠΈ ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΈ 62,5% Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΠΉ, Π΄Π΅Π²ΠΎΡΠΊΠΈ β 37,5%). ΠΠ΅ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° ΠΈ ΠΎΡΠ΅Π½ΠΊΠ° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° Ρ Π²ΡΠ΅Ρ
Π½Π°Π±Π»ΡΠ΄Π°Π²ΡΠΈΡ
ΡΡ Π΄Π΅ΡΠ΅ΠΉ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠ»Π°ΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΎΠΉ ΠΠ¦Π . ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π»ΠΈ ΠΊΡΠΎΠ²Ρ ΠΈ ΡΠ»ΡΠ½Ρ Π΄Π»Ρ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² Π²ΠΈΡΡΡΠ° Π³Π΅ΡΠΏΠ΅ΡΠ° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° 7 ΡΠΈΠΏΠ° (Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΠ¦Π ), Π² ΠΏΠΎΠ»ΡΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ΅ ΠΠ¦Π ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π»ΠΈ ΠΊΡΠΎΠ²Ρ, ΡΠΌΡΠ² ΠΈΠ· ΡΠΎΡΠΎΠ³Π»ΠΎΡΠΊΠΈ, ΠΌΠΎΡΡ Ρ ΡΠ΅Π»ΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π΄ΡΡΠ³ΠΈΡ
Π²ΠΈΡΡΡΠΎΠ² ΠΈΠ· ΡΠ΅ΠΌΠ΅ΠΉΡΡΠ²Π° Π³Π΅ΡΠΏΠ΅ΡΠΎΠ² (ΠΠΠ§6, Π¦ΠΠ, ΠΠΠ). Π ΠΈΠΌΠΌΡΠ½ΠΎΡΠ΅ΡΠΌΠ΅Π½ΡΠ½ΠΎΠΌ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ IgM ΠΊ ΠΊΠ°ΠΏΡΠΈΠ΄Π½ΠΎΠΌΡ ΠΈ IgG ΠΊ ΡΠ°Π½Π½Π΅ΠΌΡ Π°Π½ΡΠΈΠ³Π΅Π½Ρ ΠΠΠ, IgM ΠΊ Π¦ΠΠ, IgG ΠΊ ΠΠΠ§ 6 Ρ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠΌ ΠΏΠΎΠ·ΠΈΡΠΈΠ²Π½ΠΎΡΡΠΈ. ΠΠ°ΡΠ°Π»Π»Π΅Π»ΡΠ½ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π»ΠΈ Π²Π°ΡΠΈΠ°Π½ΡΡ ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΡ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π³Π΅ΡΠΏΠ΅Ρ-Π²ΠΈΡΡΡΠΎΠ² ΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
Π² ΡΡΡΠΈΠ½Π½ΠΎΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅. ΠΠ·ΡΡΠ°Π»Π°ΡΡ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ° Π½Π°Π±Π»ΡΠ΄Π°Π΅ΠΌΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π½Π° ΡΠΎΠ½Π΅ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠΉ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠΈΡ
ΠΏΠΎΡΠ»Π΅ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ 3 ΠΌΠ΅ΡΡΡΠ΅Π². ΠΠΏΡΠ΅Π΄Π΅Π»ΡΠ»Π°ΡΡ ΡΠ°ΡΡΠΎΡΠ° Π²ΡΡΡΠ΅ΡΠ°Π΅ΠΌΠΎΡΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΈΠΌΠΏΡΠΎΠΌΠΎΠ² ΠΈ ΡΠΈΠ½Π΄ΡΠΎΠΌΠΎΠ² Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»Π΅ΠΉ ΡΠ΅ΠΌΠ΅ΠΉΡΡΠ²Π° Π³Π΅ΡΠΏΠ΅ΡΠΎΠ², ΠΈΡ
ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΡ, Π²ΠΎΠ·ΡΠ°ΡΡΠ° ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΡ
.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: ΠΠΠ§7-ΠΌΠΎΠ½ΠΎΠΈΠ½ΡΠ΅ΠΊΡΠΈΡ Π±ΠΎΠ»Π΅Π΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½Π° Π΄Π»Ρ Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΠΎΠΉ ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΈ 7β14 Π»Π΅Ρ. ΠΠ½Π°ΡΠΈΠΌΠΎΡΡΡ ΡΠΌΠ΅ΡΠ°Π½Π½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΠΠΠ§6+ΠΠΠ§7 Ρ Π²ΠΎΠ·ΡΠ°ΡΡΠΎΠΌ ΡΠΌΠ΅Π½ΡΡΠ°Π»Π°ΡΡ. Π‘ΠΎΡΠ΅ΡΠ°Π½ΠΈΠ΅ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ 4 Π³Π΅ΡΠΏΠ΅Ρ-Π²ΠΈΡΡΡΠΎΠ² ΡΠ°ΡΠ΅ ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π»ΠΎΡΡ Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΡΡ
ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΡΡ
2β7 Π»Π΅Ρ ΠΈ 14β18 Π»Π΅Ρ. Π§Π°ΡΠ΅ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΎΡΠΌΠ΅ΡΠ°Π»ΠΈΡΡ ΡΠΎΠ½Π·ΠΈΠ»Π»ΠΈΡ, Π³Π΅Π½Π΅ΡΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½Π°Ρ ΡΠ΅ΠΉΠ½Π°Ρ Π»ΠΈΠΌΡΠ°Π΄Π΅Π½ΠΎΠΏΠ°ΡΠΈΡ, ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΡ Π΄ΠΎ ΡΡΠ±ΡΠ΅Π±ΡΠΈΠ»ΡΠ½ΡΡ
ΠΈΠ»ΠΈ ΡΠ΅Π±ΡΠΈΠ»ΡΠ½ΡΡ
ΡΠΈΡΡ, ΡΠ°ΡΠΈΠ½Π³ΠΈΡ, ΡΠ΅ΠΊΡΡΡΠ΅Π½ΡΠ½ΡΠ΅ ΠΎΡΡΡΡΠ΅ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΡΠ΅ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ, ΡΠΈΠ½ΠΈΡ, ΡΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡ ΠΈΡ
ΠΊΠ°ΠΊ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡ ΠΠΠ§7-ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅: ΠΠΠ§7-ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡ Π·Π½Π°ΡΠΈΠΌΠ° Π² ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠ΅Π±Π΅Π½ΠΊΠ°. ΠΠ°Π»ΠΈΡΠΈΠ΅ ΡΠ°ΠΊΠΈΡ
ΡΠΈΠ½Π΄ΡΠΎΠΌΠΎΠ², ΠΊΠ°ΠΊ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²ΠΈΡΡΡΡΠΈΠΉ ΡΠΎΠ½Π·ΠΈΠ»Π»ΠΈΡ, ΡΠ΅ΠΉΠ½Π°Ρ Π»ΠΈΠΌΡΠ°Π΄Π΅Π½ΠΎΠΏΠ°ΡΠΈΡ ΠΈΠ»ΠΈ ΠΈΠ·ΠΎΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠ΄ΡΠ΅Π»ΡΡΡΠ½ΡΡ
Π»ΠΈΠΌΡΠΎΡΠ·Π»ΠΎΠ², ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΡ, ΡΠ°ΡΠΈΠ½Π³ΠΈΡ, ΡΠ΅ΠΊΡΡΡΠ΅Π½ΡΠ½ΡΠ΅ ΠΎΡΡΡΡΠ΅ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΡΠ΅ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ Π² ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Ρ Π³Π΅ΠΏΠ°ΡΠΎ- ΠΈ/ΠΈΠ»ΠΈ ΡΠΏΠ»Π΅Π½ΠΎΠΌΠ΅Π³Π°Π»ΠΈΠ΅ΠΉ, ΡΡΡΠ°Π»ΠΎΡΡΡΡ, Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠΉ Π±ΠΎΠ»ΡΡ, ΡΠ°ΡΡΠΎ Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½ΠΎ Ρ ΠΠΠ§7. ΠΠΠ§7-Π²ΠΈΡΠ΅ΠΌΠΈΡ ΡΠ΅Π³ΠΈΡΡΡΠΈΡΡΠ΅ΡΡΡ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΡΠ΅Π΄ΠΊΠΎ, Π½Π΅ΡΠΌΠΎΡΡΡ Π½Π° ΠΎΡΠ΅Π²ΠΈΠ΄Π½ΡΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠ΅ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ Π²ΠΎΡΠΏΠ°Π»Π΅Π½ΠΈΡ, ΡΠΊΠ°Π·ΡΠ²Π°ΡΡΠΈΠ΅ Π½Π° Π½Π°Π»ΠΈΡΠΈΠ΅ Π²ΠΈΡΡΡΠ½ΠΎΠ³ΠΎ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ, ΡΡΠΎ, ΠΏΠΎΠ²ΠΈΠ΄ΠΈΠΌΠΎΠΌΡ, ΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΈΡΠΈΠ½ΠΎΠΉ Π³ΠΈΠΏΠΎΠ΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΈΡ Π΄ΠΎΠ»ΠΆΠ½ΠΎΠ³ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ ΠΊ ΡΡΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ.
Comparative analysis of bacterial profiles in unstimulated and stimulated saliva samples
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 MannβWhitney test with BenjaminiβHochberg'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: 146β303), 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
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 KruskalβWallis test with BenjaminiβHochberg's correction. Results: From a total of 30 saliva samples, a mean number of probe targets of 205 (range 120β353) were identified, and a statistically significant higher mean number of targets was registered in samples from patients with periodontitis (mean 220, range 143β306) and dental caries (mean 221, range 165β353) as compared to orally healthy individuals (mean 174, range 120β260) (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
ΠΠ΅ΡΠΏΠ΅Ρ-Π²ΠΈΡΡΡΡ 6 ΠΈ 7 ΡΠΈΠΏΠ°: Π²Π·Π³Π»ΡΠ΄ ΠΏΠ΅Π΄ΠΈΠ°ΡΡΠ°
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.ΠΠ΅ΡΠΏΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΡΠΈΡΠΎΠΊΠΎ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Ρ Π² ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΈ, ΠΈ ΠΈΠ½ΡΠ΅ΡΠ΅Ρ ΠΊ Π½ΠΈΠΌ ΡΡΠ΅Π΄ΠΈ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠ² ΡΠ°Π·Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ»Ρ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π΅Ρ, ΡΠ°ΠΊ ΠΊΠ°ΠΊ ΠΎΠ½ΠΈ ΡΠ²Π»ΡΡΡΡΡ ΠΏΡΠΈΡΠΈΠ½ΠΎΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π±ΠΎΠ»ΡΡΠΎΠ³ΠΎ ΡΠΏΠ΅ΠΊΡΡΠ° ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ. ΠΠΌΠ΅Π½Π½ΠΎ Π³Π΅ΡΠΏΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΡΠ°ΡΡΠΎ ΡΠ²Π»ΡΡΡΡΡ ΠΏΡΠΈΡΠΈΠ½Π°ΠΌΠΈ ΠΏΡΠ΅ΠΆΠ΄Π΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠΎΠ΄ΠΎΠ², ΠΌΠ»Π°Π΄Π΅Π½ΡΠ΅ΡΠΊΠΎΠΉ ΡΠΌΠ΅ΡΡΠ½ΠΎΡΡΠΈ. ΠΡΠ½ΠΎΠ²Π½ΡΠ΅ Π²ΠΎΠ·Π±ΡΠ΄ΠΈΡΠ΅Π»ΠΈ Π³Π΅ΡΠΏΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ Ρ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ 8 Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΈΠ·ΡΡΠ΅Π½Π½ΡΠΌΠΈ ΡΠΈΠΏΠ°ΠΌΠΈ Π²ΠΈΡΡΡΠ°. Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΠΎΠ±Π·ΠΎΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ Π½Π°ΡΡΠ½ΠΎΠΉ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ ΠΏΠΎ Π²ΠΎΠΏΡΠΎΡΠ°ΠΌ Π³Π΅ΡΠΏΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ, Π²ΡΠ·Π²Π°Π½Π½ΡΡ
Π³Π΅ΡΠΏΠ΅Ρ-Π²ΠΈΡΡΡΠ°ΠΌΠΈ 6-Π³ΠΎ ΠΈ 7-Π³ΠΎ ΡΠΈΠΏΠ°. ΠΠ·Π»ΠΎΠΆΠ΅Π½Ρ Π²ΠΎΠΏΡΠΎΡΡ ΠΈΡΡΠΎΡΠΈΠΈ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ, ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡ, ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ, ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π· Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ, ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡ Π² Π΄Π΅ΡΡΠΊΠΎΠΌ Π²ΠΎΠ·ΡΠ°ΡΡΠ΅, Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ° ΠΈ ΡΠ°ΠΊΡΠΈΠΊΠ° Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ²
Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls
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
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 70βyears 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
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