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1.
Front Cell Infect Microbiol ; 12: 1055117, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36467723

RESUMO

Introduction: Previous research indicates that the salivary microbiota may be a biomarker of oral as well as systemic disease. However, clarifying the potential bias from general health status and lifestyle-associated factors is a prerequisite of using the salivary microbiota for screening. Materials & Methods: ADDDITION-PRO is a nationwide Danish cohort, nested within the Danish arm of the Anglo-Danish-Dutch Study of Intensive treatment in People with Screen-Detected Diabetes in Primary Care. Saliva samples from n=746 individuals from the ADDITION-PRO cohort were characterized using 16s rRNA sequencing. Alpha- and beta diversity as well as relative abundance of genera was examined in relation to general health and lifestyle-associated variables. Permutational multivariate analysis of variance (PERMANOVA) was performed on individual variables and all variables together. Classification models were created using sparse partial-least squares discriminant analysis (sPLSDA) for variables that showed statistically significant differences based on PERMANOVA analysis (p < 0.05). Results: Glycemic status, hemoglobin-A1c (HbA1c) level, sex, smoking and weekly alcohol intake were found to be significantly associated with salivary microbial composition (individual variables PERMANOVA, p < 0.05). Collectively, these variables were associated with approximately 5.8% of the observed differences in the composition of the salivary microbiota. Smoking status was associated with 3.3% of observed difference, and smoking could be detected with good accuracy based on salivary microbial composition (AUC 0.95, correct classification rate 79.6%). Conclusions: Glycemic status, HbA1c level, sex, smoking and weekly alcohol intake were significantly associated with the composition of the salivary microbiota. Despite smoking only being associated with 3.3% of the difference in overall salivary microbial composition, it was possible to create a model for detection of smoking status with a high correct classification rate. However, the lack of information on the oral health status of participants serves as a limitation in the present study. Further studies in other cohorts are needed to validate the external validity of these findings.


Assuntos
Estilo de Vida , Microbiota , Humanos , RNA Ribossômico 16S/genética , Estudos de Coortes , Microbiota/genética , Análise de Variância
2.
Biochem J ; 477(22): 4349-4365, 2020 11 27.
Artigo em Inglês | MEDLINE | ID: mdl-33094801

RESUMO

The membrane-associated prostasin and matriptase belonging to the S1A subfamily of serine proteases, are critical for epithelial development and maintenance. The two proteases are involved in the activation of each other and are both regulated by the protease inhibitors, HAI-1 and HAI-2. The S1A subfamily of serine proteases are generally produced as inactive zymogens requiring a cleavage event to obtain activity. However, contrary to the common case, the zymogen form of matriptase exhibits proteolytic activity, which can be inhibited by HAI-1 and HAI-2, as for the activated counterpart. We provide strong evidence that also prostasin exhibits proteolytic activity in its zymogen form. Furthermore, we show that the activity of zymogen prostasin can be inhibited by HAI-1 and HAI-2. We report that zymogen prostasin is capable of activating zymogen matriptase, but unable to activate its own zymogen form. We propose the existence of an unusual enzyme-enzyme relationship consisting of proteolytically active zymogen forms of both matriptase and prostasin, kept under control by HAI-1 and HAI-2, and located at the pinnacle of an important proteolytic pathway in epithelia. Perturbed balance in this proteolytic system is likely to cause rapid and efficient activation of matriptase by the dual action of zymogen matriptase and zymogen prostasin. Previous studies suggest that the zymogen form of matriptase performs the normal proteolytic functions of the protease, whereas excess matriptase activation likely causes carcinogenesis. HAI-1 and HAI-2 are thus important for the prevention of matriptase activation whether catalysed by zymogen/activated prostasin (this study) or zymogen/activated matriptase (previous studies).


Assuntos
Precursores Enzimáticos/metabolismo , Proteólise , Serina Endopeptidases/metabolismo , Precursores Enzimáticos/genética , Células HEK293 , Humanos , Glicoproteínas de Membrana/genética , Glicoproteínas de Membrana/metabolismo , Proteínas Secretadas Inibidoras de Proteinases/genética , Proteínas Secretadas Inibidoras de Proteinases/metabolismo , Serina Endopeptidases/genética
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