Gingival crevicular fluid as Biomarker's source for alzheimer's disease / Fluido crevicular gingival como biomarcador de enfermedad de Alzheimer

Abstract Periodontitis is a low-grade inflammatory disease caused by a subgingival dysbiotic microbiota. Multiple studies have determined the higher prevalence of tooth loss and poor oral hygiene in patients with Alzheimer's disease (AD). However, the periodontal diagnosis, periodontal bacteria or mediators has not been measured to date. Aim: To determine the periodontal status, the pro-inflammatory mediators, Porphyromonas gingivalis load, and Apoliporpotein E (ApoE) in patients with AD. A complete dental examination was performed on 30 patients, and cognitive status was determined by the Montreal Cognitive Assessment (MoCA). Subgingival microbiota and GCF samples were then taken from all patients from the deepest sites. Total DNA was isolated from the microbiota samples for the quantification of the 16S ribosomal subunit. Pro-inflammatory mediators and ApoE were quantified from the gingival crevicular fluid (GCF). Patients with AD had periodontitis stage III-IV in 80%, a higher concentration of pro-inflammatory and ApoE mediators, and a higher P. gingivalis load compared to healthy subjects. The pro-inflammatory mediators, P. gingivalis load had a negative correlation with the MoCA test scores. Finally, a ROC curve was performed to assess the specificity and sensitivity of ApoE levels, detecting an area of 84.9%. In AD patients, we found a more severe periodontitis, a higher levels of pro-inflammatory mediators, and higher bacterial load. In addition, there is an increase in ApoE that allows to clearly determine patients with health, periodontitis and periodontitis and AD.

Resumen La periodontitis es una enfermedad crónica no transmisible que se caracteriza por generar una inflamación sistémica de bajo grado causada por una microbiota disbiótica subgingival. Múltiples estudios han determinado la mayor prevalencia de pérdida de dientes y mala higiene bucal en pacientes con enfermedad de Alzheimer (EA). Sin embargo, el diagnóstico periodontal, bacterias periodontales o mediadores pro-inflamatorio no se ha medido hasta la fecha. Determinar el estado periodontal, los mediadores pro-inflamatorios, la carga de Porphyromonas gingivalis y la apoliporpoteína E (ApoE) en pacientes con EA. Se realizó un examen odontológico completo en 30 pacientes y el estado cognitivo se determinó mediante la Evaluación Cognitiva de Montreal (MoCA). Luego, se tomaron muestras de microbiota subgingival y FCG de todos los pacientes de los sitios más profundos. Se aisló el DNA total de las muestras de microbiota para la cuantificación de la subunidad ribosómica 16S. Los mediadores pro-inflamatorios y la ApoE se cuantificaron a partir del líquido crevicular gingival (GCF). Los pacientes con EA tenían periodontitis en estadio III-IV en 80%, una mayor concentración de mediadores pro-inflamatorios y ApoE, y una mayor carga de P. gingivalis en comparación con los sujetos sanos. Los mediadores pro-inflamatorios y la carga de P. gingivalis tuvieron una correlación negativa con las puntuaciones de la prueba MoCA. Finalmente, se realizó una curva ROC para evaluar la especificidad y sensibilidad de los niveles de ApoE, detectando un área del 84,9%. En los pacientes con EA encontramos una periodontitis más severa, mayores niveles de mediadores pro-inflamatorios y mayor carga bacteriana. Además, un aumento de ApoE que permite determinar claramente a los pacientes con salud, periodontitis y periodontitis y EA.

Differential expression of CC chemokines (CCLs) and receptors (CCRs) by human T lymphocytes in response to different Aggregatibacter actinomycetemcomitans serotypes

ABSTRACT In Aggregatibacter actinomycetemcomitans, different serotypes have been described based on LPS antigenicity. Recently, our research group has reported a differential immunogenicity when T lymphocytes were stimulated with these different serotypes. In particular, it was demonstrated that the serotype b of A. actinomycetemcomitans has a stronger capacity to trigger Th1- and Th17-type cytokine production. Objective This study aimed to quantify the expression of different CC chemokines (CCLs) and receptors (CCRs) in T lymphocytes stimulated with the different A. actinomycetemcomitans serotypes. In addition, the expression of the transcription factors T-bet, GATA-3, RORC2, and Foxp3, master-switch genes implied in the Th1, Th2, Th17, and T-regulatory differentiation, respectively, was analyzed in order to determine T-cell phenotype-specific patterns of CCL and CCR expression upon A. actinomycetemcomitans stimulation. Material and Methods Human naïve CD4+ T lymphocytes were obtained from healthy subjects and stimulated with autologous dendritic cells primed with the different A. actinomycetemcomitans serotypes. The expression levels for the chemokines CCL1, CCL2, CCL3, CCL5, CCL11, CCL17, CCL20, CCL21, CCL25, and CCL28, as well as the chemokine receptors CCR1, CCR2, CCR3, CCR4, CCR5, CCR6, CCR7, CCR8, CCR9, and CCR10 were quantified by qPCR. Similarly, the expression levels for the transcription factors T-bet, GATA-3, RORC2, and Foxp3 were quantified and correlated with the CCL and CCR expression levels. Results Higher expression levels of CCL2, CCL3, CCL5, CCL20, CCL21, CCL28, CCR1, CCR2, CCR5, CCR6, CCR7, and CCR9 were detected in T lymphocytes stimulated with the serotype b of A. actinomycetemcomitans compared with the other serotypes. In addition, these higher expression levels of CCLs and CCRs positively correlated with the increased levels of T-bet and RORC2 when T lymphocytes were stimulated with the serotype b. Conclusion A T-lymphocyte response biased towards a Th1- and Th17-pattern of CCL and CCR expression was detected under stimulation with the serotype b of A. actinomycetemcomitans.

Differential expression of CC chemokines (CCLs) and receptors (CCRs) by human T lymphocytes in response to different Aggregatibacter actinomycetemcomitans serotypes

In Aggregatibacter actinomycetemcomitans, different serotypes have been described based on LPS antigenicity. Recently, our research group has reported a differential immunogenicity when T lymphocytes were stimulated with these different serotypes. In particular, it was demonstrated that the serotype b of A. actinomycetemcomitans has a stronger capacity to trigger Th1- and Th17-type cytokine production.Objective This study aimed to quantify the expression of different CC chemokines (CCLs) and receptors (CCRs) in T lymphocytes stimulated with the differentA. actinomycetemcomitans serotypes. In addition, the expression of the transcription factors T-bet, GATA-3, RORC2, and Foxp3, master-switch genes implied in the Th1, Th2, Th17, and T-regulatory differentiation, respectively, was analysed in order to determine T-cell phenotype-specific patterns of CCL and CCR expression upon A. actinomycetemcomitans stimulation.Material and Methods Human naïve CD4+ T lymphocytes were obtained from healthy subjects and stimulated with autologous dendritic cells primed with the differentA. actinomycetemcomitans serotypes. The expression levels for the chemokines CCL1, CCL2, CCL3, CCL5, CCL11, CCL17, CCL20, CCL21, CCL25, and CCL28, as well as the chemokine receptors CCR1, CCR2, CCR3, CCR4, CCR5, CCR6, CCR7, CCR8, CCR9, and CCR10 were quantified by qPCR. Similarly, the expression levels for the transcription factors T-bet, GATA-3, RORC2, and Foxp3 were quantified and correlated with the CCL and CCR expression levels.Results Higher expression levels of CCL2, CCL3, CCL5, CCL20, CCL21, CCL28, CCR1, CCR2, CCR5, CCR6, CCR7, and CCR9 were detected in T lymphocytes stimulated with the serotype b of A. actinomycetemcomitans compared with the other serotypes. In addition, these higher expression levels of CCLs and CCRs positively correlated with the increased levels of T-bet and RORC2 when T lymphocytes were stimulated with the serotype b.Conclusion A T-lymphocyte response biased towards a Th1- and Th17-pattern of CCL and CCR expression was detected under stimulation with the serotype b ofA. actinomycetemcomitans.

Resultados de la aplicación de la lista de verificación quirúrgica en 60 pacientes / Results of applying the surgical checklist in 60 patients

Objetivo: Evaluar los resultados de la aplicación de la lista de verificación quirúrgica en todos los pacientes sometidos a cirugía por nuestro equipo de trabajo. Sede: Institución médica privada. Diseño: Estudio clínico prospectivo, transversal, observacional, descriptivo. Análisis estadístico: Porcentajes como medida de resumen para variables cualitativas. Material y métodos: Se aplicó la lista de verificación quirúrgica en 60 pacientes sometidos a cirugía electiva y de urgencia en la especialidad de Cirugía General realizada por el mismo equipo quirúrgico. Se clasificaron los eventos encontrados que alteraron el flujo de la cirugía relacionados con factores ambientales, de tecnología e insumos, trabajo en equipo, entrenamiento y procedimientos y otros. Resultados: En los 60 pacientes en los que se aplicó la lista de verificación se detectaron 36 eventos que alteraron el flujo normal de la cirugía sin impactar en el paciente y, de éstos, 13 fueron cuasifallas. Las cuasifallas detectadas fueron una fuga de Sevorane y fuga de oxígeno en máquinas de anestesia, falta de una aguja de sutura en el conteo final, que se encontró en cavidad, bultos de cirugía mal esterilizados con batas húmedas, falla en engrapadora quirúrgica por mal manejo del personal, engrapadoras erróneas para procedimiento a realizar, paciente bajo bloqueo espinal al que no se le sujetaron los brazos y ocasionó contaminación del campo quirúrgico. Todos estos hechos ocasionaron una disrupción del flujo quirúrgico. Conclusión: La lista de verificación es una herramienta sumamente útil para la reducción de eventos adversos en un procedimiento quirúrgico.

Objective: To assess the results of applying the surgical checklist to all patients subjected to surgery by our surgical team. Setting: Private medical institution. Design: Clinical prospective, cross-sectional, observational, descriptive study. Statistical analysis. Percentages as summary measure for qualitative variables. Material and methods: The surgical checklist was applied to 60 patients subjected to elective and emergency surgery in the General Surgery specialty performed by the same surgical team. We analyzed the events that altered the surgical flow related to environmental, technological factors, as well as those concerning supplies, team work, training, procedures, and others. Results: In the 60 patients in whom the surgical checklist was applied, 30 events were detected that altered the normal flow of the surgery, without having an impact on the patient. Of these, 13 were quasi-failures. The detected quasi-failures were a Sevorane leak, an oxygen leak in the anesthesia machines, missing of a suture needle in the final count, which was then found in the cavity, surgery packs inadequately sterilized with moist dressings, lack of surgical stapler due to wrong handling by the personnel, wrong stapler for the procedure to be performed, patient under spinal block whose arms were not held in place and caused contamination of the surgical field. All these events caused disruption of the surgical flow. Conclusion: The surgical checklist is a very useful tool to reduce adverse events in a surgical procedure.