Caracterización del microbioma nasofaríngeo en pacientes con enfermedad de Kawasaki / Characterization of the nasopharyngeal microbiome in patients with Kawasaki disease

Introducción: La etiología de la enfermedad de Kawasaki (EK) sigue siendo desconocida. Varios estudios han relacionado el microbioma humano con algunas enfermedades. Sin embargo, los estudios sobre el microbioma respiratorio en EK son limitados. Este estudio intenta profundizar en las causas y procesos que predisponen al desarrollo de la EK. Métodos: Estudio de casos y controles en el que se compara el microbioma respiratorio de pacientes con EK con el de niños sanos. La región V3-V4 del gen bacteriano del ARNr 16S y 16 virus respiratorios se analizaron mediante reacción en cadena de la polimerasa en tiempo real. Se utilizó la base de datos RDP (Ribosomal Database Project) versión 11.5 (asignación taxonómica). Resultados: Se incluyeron 11casos y 11 controles emparejados por edad, sexo y estacionalidad. Uno de los casos fue descartado por mala calidad de la muestra. El estudio final se realizó a 10 casos y 10 controles. En el grupo de casos se encontraron Haemophilus, Moraxella, Streptococcus y Corynebacterium (27,62%, 19,71%, 25,28% y 11,86%, respectivamente). En el grupo control, Haemophilus, Streptococcus, Moraxella y Dolosigranulum (38,59%, 23,71%, 16,08 y 8,93%, respectivamente). Corynebacterium mostró una mayor abundancia en pacientes con EK (11,86% vs. 1,55%; p = 0,004). Conclusiones: Hasta donde sabemos, este es el primer estudio que ha encontrado diferencias en la composición del microbioma respiratorio entre pacientes con EK y controles sanos. Corynebacterium spp. presentó una mayor abundancia en el grupo de EK. Este estudio muestra diferencias en el microbioma entre pacientes y controles, lo que sugiere un papel facilitador del microbioma en el desarrollo de la EK. (AU)

Introduction: The aetiology of Kawasaki disease (KD) remains unknown. Several studies have linked the human microbiome with some diseases. However, there are limited studies on the role of the respiratory microbiome in KD. The aim of our study was to make a more thorough analysis of the causes and processes that increase the susceptibility to KD. Methods: Case-control study comparing the respiratory microbiome of KD patients with that of healthy children. The V3–V4 region of the 16S rRNA bacterial gene and 16 respiratory viruses were analysed by real-time polimerase-chain reaction. We used the Ribosomal Database Project (RDP) version 11.5 (taxonomic assignment). Results: The initial sample included 11 cases and 11 controls matched for age, sex and seasonality. One of the cases was excluded to poor sample quality. The final analysis included 10 cases and 10 controls. In the case group, the analysis detected Haemophilus, Moraxella, Streptococcus and Corynebacterium species (27.62%, 19.71%, 25.28%, 11.86%, respectively). In the control group, it found Haemophilus, Streptococcus, Moraxella, and Dolosigranulum species (38.59%, 23.71%, 16.08, 8.93%, respectively). We found a higher relative abundance of Corynebacterium in patients with KD (11.86% vs. 1.55%; P=.004). Conclusions: To our knowledge, this is the first study that has found differences in the composition of the respiratory microbiome between patients with KD and healthy controls. The relative abundance of Corynebacterium spp. was greater in the KD group. This study shows differences in the microbiome between cases and controls, which suggests that the microbiome may play a role in facilitating the development of KD. (AU)

Characterization of the nasopharyngeal microbiome in patients with Kawasaki disease.

INTRODUCTION: The aetiology of Kawasaki disease (KD) remains unknown. Several studies have linked the human microbiome with some diseases. However, there are limited studies on the role of the respiratory microbiome in KD. The aim of our study was to make a more thorough analysis of the causes and processes that increase the susceptibility to KD. METHODS: Case-control study comparing the respiratory microbiome of KD patients with that of healthy children. The V3-V4 region of the 16S rRNA bacterial gene and 16 respiratory viruses were analysed by real-time polimerase-chain reaction. We used the Ribosomal Database Project (RDP) version 11.5 (taxonomic assignment). RESULTS: The initial sample included 11 cases and 11 controls matched for age, sex and seasonality. One of the cases was excluded to poor sample quality. The final analysis included 10 cases and 10 controls. In the case group, the analysis detected Haemophilus, Moraxella, Streptococcus and Corynebacterium species (27.62%, 19.71%, 25.28%, 11.86%, respectively). In the control group, it found Haemophilus, Streptococcus, Moraxella, and Dolosigranulum species (38.59%, 23.71%, 16.08, 8.93%, respectively). We found a higher relative abundance of Corynebacterium in patients with KD (11.86% vs. 1.55%; P = 0.004). CONCLUSIONS: To our knowledge, this is the first study that has found differences in the composition of the respiratory microbiome between patients with KD and healthy controls. The relative abundance of Corynebacterium spp. was greater in the KD group. This study shows differences in the microbiome between cases and controls, which suggests that the microbiome may play a role in facilitating the development of KD.