Background: There are epidemiological and preclinical studies in vivo that support the biological plausibility of the association between periodontal diseases and major depression (DM), through the hypothesis of a "leaky mouth" by periodontitis as a source of neuroinflammation. Therefore, this association should be studied in depth in carefully designed cross-sectional studies in humans to specifically assess this relationship. Objectives: Primary: determine if periodontitis can be associated with the development of DM. Secondary: (1) to estimate the prevalence of periodontal diseases (gingivitis and periodontitis) in patients with and without DM; (2) to determine whether oral, periodontal, and fecal (bacterial, viral, and fungal) metagenomic microbiomes, inflammatory mediators, and intestinal barrier integrity are associated with periodontal and mental health variables. Material and method: A cross-sectional analytical study with two groups is designed: * Control group (without DM): subjects without known mental health pathologies will be included, who present a PHQ-9 index of 5 or less. They will be recruited from the control group of a population-based study PsychoBioma TRIAD (C.P. PSQ-19-2 - C.I. 19/474-E). They will be matched by age, gender, and socioeconomic status. * Group of cases (MD patients): subjects with moderate DM will be selected, characterized by HPQ9 index values of 9 or higher. They will be selected among those patients who attend the Mental Health consultations associated with the San Carlos Clinical Hospital. The study will consist of three visits: * Visit in Mental Health Consultations: in this visit the subject will be evaluated to determine if he meets the eligibility criteria. You will be informed of the purpose of the study and you will be invited to participate and sign the informed consent. After that, a structured clinical interview for the DSM-IV (SCID) will be conducted and the subject will fill in a series of specific scales on a study-specific electronic device \[Beck Depression Inventory (BDI); UCLA Loneliness Scale, Center for Epidemiologic Studies Depression scale \[CES-D\]; Childhood Trauma Questionnaire short form (CTQ-SF); The World Health Organization Quality of Life questionnaire (WHOQOL); Hamilton scale (HAM-D17); Global Assessment of Functioning (GAF) Scale\]. * Dental School Visit: Subject will receive a comprehensive periodontal examination. A subgingival microbiological sample, a saliva sample and a blood sample will also be taken. The patient will be given a specific vial to collect stool samples. * At the participant's home: the stool samples will be deposited by the participants at home in the specific collection vial.
Study Type
OBSERVATIONAL
Enrollment
122
No intervention (observational studies)
Faculty of Dentistry, University Complutense of Madrid (UCM)
Madrid, Spain
RECRUITINGInstituto de Psiquiatría y Salud Mental, Hospital Clínico San Carlos
Madrid, Spain
RECRUITINGPeriodontitis (presence/absence)
With the clinical and radiological information, the periodontal diagnosis of the patients will be established according to the 2018 classification of periodontal and peri-implant diseases), which involves determining the stage (I to IV), the extent of the stage (localized, generalized or incisor-molar pattern) and the grade (A, B or C).
Time frame: Baseline
Childhood Trauma Questionnaire short form (CTQ-SF)
Range: 25 to 125. A higher score means more (and worst) traumatic experience.
Time frame: Baseline
UCLA Loneliness Scale (Spanish version)
Range: 20 to 80. Higher scores indicatehigher levels of loneliness
Time frame: Baseline
The World Health Organization Quality of Life questionnaire (WHOQOL)
Range: 0 to100. A higher score means better quality of life.
Time frame: Baseline
Beck Depression Inventory (BDI)
Range: 0 to 63. A higher score means more severe-depressive symptomatology
Time frame: Baseline
Centre for Epidemiologic Studies Depression scale [CES-D]
Range: 0 to 60. Higher scores indicate the presence of more severe symptomatology
Time frame: Baseline
Hamilton scale (HAM-D17)
Range: 0 to 52. The higher the score, the more severe the depressive symptoms
Time frame: Baseline
Global Assessment of Functioning (GAF) Scale.
Range: 1 to 100. A higher score means better functioning. A score of 0 means Inadequate information.
Time frame: Baseline
Subgingival microbiota
Bacterial DNA extraction will be performed using a commercial kit (Molzym Gmbh\& Co.KG; Bremen, Germany) specific for bacterial DNA extraction. DNA samples will be frozen at -80°C and preserved until further analysis by quantitative polymerase chain reaction (q-PCR) (Marin et al., 2019) and 16S rRNA sequencing, using the Illumina MiSeq platform. The analysis of sequences obtained for the microbiome will include: a) quality control and trimming: PCR primers, chimeric sequences, and short and low-quality reads will be discarded; b) mapping: annotation at different taxonomic levels; c) rarefaction curves; d) quantification: counts and percentages of the presence of specific bacteria in each sample at different taxonomic levels; e) calculation of the biodiversity index and f) comparison between samples. The analysis by q-PCR will include the detection and quantification of the most prevalent or abundant species.
Time frame: Baseline
Plasma levels of inflammatory mediators
plasma levels of inflammatory mediators IL-1β, TNF-α, IL-6, prostaglandin E2 and CPRhs
Time frame: Baseline
Saliva microbiota
microbial DNA will be used for library preparation and metagenomic shotgun sequencing using the Illumina HiSeq 2500 System. Shotgun metagenomic sequencing can identify bacteria, fungi, and viruses, with a resolution that allows species-level identification. Sequences are compared to phylogenetic and functional databases to obtain taxonomic and functional profiles
Time frame: Baseline
Gut microbiota (Stool samples)
microbial DNA will be used for library preparation and metagenomic shotgun sequencing using the Illumina HiSeq 2500 System. Shotgun metagenomic sequencing can identify bacteria, fungi, and viruses, with a resolution that allows species-level identification. Sequences are compared to phylogenetic and functional databases to obtain taxonomic and functional profiles
Time frame: Baseline
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