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Oral Endocannabinoids in People With Prediabetes and Diabetes

Not yet recruiting
Conditions
Obesity
PreDiabetes
Diabetes Mellitus, Type 2
Oral Dysbiosis
Mouth Disease
Interventions
Other: Observational study
Registration Number
NCT06040164
Lead Sponsor
Fundación Pública Andaluza para la Investigación de Málaga en Biomedicina y Salud
Brief Summary

This study evaluates the relationship of endocannabinoids in saliva with inflammation and oral dysbacteriosis present in people with periodontal disease and prediabetes/type 2 diabetes

Detailed Description

Diabetes is a disease that affects millions of people worldwide, and the number of cases is expected to continue to increase in the coming years. Type 2 diabetes (T2D) is the most common form of diabetes and is closely related to prediabetes, a condition in which blood glucose levels are high but not high enough to be diagnosed as diabetes. Both prediabetes and T2D increase the risk of cardiovascular disease and are also associated with diseases of the oral cavity, such as dental caries and periodontal disease. The presence of pathogenic bacteria in the mouth has been linked to these diseases. The endocannabinoid system, a signaling system in the body that regulates various biological processes, has been found to play an important role in energy homeostasis and is implicated in obesity, prediabetes, and T2D. This study seeks to investigate the role of endocannabinoids and related lipids in diseases of the oral cavity in the context of prediabetes and T2D. A bidirectional relationship has been observed between periodontitis and T2D, with inflammation playing a central role in both diseases. Although subtle differences in the microbial composition of the mouth have been identified in people with diabetes, the exact mechanisms remain unclear. Our findings could open up a promising line of research on the therapeutic potential of cannabinoid drugs for the treatment of this type of complications in people with prediabetes/T2D.

Recruitment & Eligibility

Status
NOT_YET_RECRUITING
Sex
All
Target Recruitment
60
Inclusion Criteria
  • Adults, both sexes (40-65 years)
  • With obesity and prediabetes: BMI 30-40 and HbA1c 5.7-6.4
  • With obesity and diabetes: BMI 30-40 and previous diagnosis of diabetes
Exclusion Criteria
  • Pregnant women
  • Diagnosis of some type of neoplasia or treated with radiotherapy and/or chemotherapy in the last year.
  • Ongoing inflammatory diseases (Crohn's disease, ulcerative colitis, arthritis, etc.) and/or anti-inflammatory treatments
  • Presence of systemic diseases of vital organs
  • Participants in treatment with drugs that could alter salivary flow
  • Smokers
  • Participants who have not followed the specifications prior to sampling
  • Participants who did not sign the informed consent

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Ob/Diab/OCDObservational studyobesity, diabetes and oral cavity disease
Ob/Pre/HObservational studyobesity, prediabetes and healthy mouth
Ob/Pre/OCDObservational studyobesity, prediabetes and oral cavity disease
Ob/Diab/HObservational studyobesity, diabetes and healthy mouth
Primary Outcome Measures
NameTimeMethod
Change in N-palmitoylethanolamine (PEA) levels in saliva and plasmaBasal

Measured in pmol/ml

Change in N-palmitoylethanolamine (DHEA) levels in saliva and plasmaBasal

Measured in pmol/ml

Change in N-oleoylethanolamine (OEA) levels in saliva and plasmaBasal

Measured in pmol/ml

Change in 2-linoleoyl-glycerol (2-LG) levels in saliva and plasmaBasal

Measured in pmol/ml

Change in 2-arachidonoyl-glycerol (2-AG) levels in saliva and plasmaBasal

Measured in pmol/ml

Change in N-arachidonoylethanolamine (AEA) levels in saliva and plasmaBasal

Measured in pmol/ml

Change in 2-oleoyl-glycerol (2-OG) levels in saliva and plasmaBasal

Measured in pmol/ml

Secondary Outcome Measures
NameTimeMethod
Change in interleukin-8 levels in saliva and plasmaBasal

Measured in pmol/ml

Change in interleukin-10 levels in saliva and plasmaBasal

Measured in pmol/ml

Change in interleukin-17 levels in saliva and plasmaBasal

Measured in pmol/ml

Change in Interferon gamma (IFN)-γ levels in saliva and plasmaBasal

Measured in pmol/ml

Changes from baseline QUICKY levelsBasal

QUICKY = 1 / (log(fasting insulin μU/mL) + log(fasting glucose mg/dL))

Change in leptin levels in saliva and plasmaBasal

Measured in pmol/ml

Change in vascular endothelial growth factor (VEGF) levels in saliva and plasmaBasal

Measured in pmol/ml

Changes in blood pressureBasal

Measured in mmHg

Oral health impact profileBasal

The Oral Health Impact Profile will be assessed by using the OHIP-14sp questionnaire, which is one of the most internationally spread indicators of oral health-related quality of life and it is used to measure the impact of oral conditions on quality of life to complement clinical data in cross-sectional and longitudinal studies. The OHIP-14 is a self-filled questionnaire that focuses on seven dimensions of impact (functional limitation, pain, psychological discomfort, physical disability, psychological disability, social disability and handicap) with participants being asked to respond according to frequency of impact on a 5-point Likert scale coded never (score 0), hardly ever (score 1), occasionally (score2), fairly often (score 3) and very often (score 4) using a twelve-months recall period.

Changes in oral bacteriological profileBasal

Bacterial 16S rRNA amplicon of the following bacterial strains: Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola, Prevotella intermedia, Fusobacterium nucleatum, Parvimonas micra, Campylobacter rectus, Eikenella corroe, Veillonella parvula and Actinomyces naeslundii for periodontal disease; and Streptococcus mutans, S. sanguis, S. mitior, S. salivarius and S. milleri for dental caries. Unit of Measurement: Fold-increase over reference genes, delta-delta Ct method.

Changes from baseline HOMA2-IR levelsBasal

The homeostasis model assessment computational method is used to estimate insulin resistance (HOMA2-IR) from fasting plasma glucose and insulin. The HOMA2-IR is the reciprocal of insulin sensitivity (%S), as a percentage of a normal reference population (normal young adult). A higher score indicates a lower insulin sensitivity.

Changes from baseline HOMA2%S levelsBasal

Measured in %

Changes in sialometryBasal

Measured in mL/min

Changes in waist circumferenceBasal

Measured in cm

Changes in total cholesterolBasal

Measured in mg/dL

Changes in LDL cholesterolBasal

Measured in mg/dL

Change in interleukin-1β levels in saliva and plasmaBasal

Measured in pmol/ml

Changes in Fasting glucose levelsBasal

Measured in mg/dl

BMI (body mass index) changesBasal

Calculated as weight ⁄ height (kg/m2)

Changes in waist/height ratioBasal

Calculated as waist measurement (cm) divided by height measurement (cm), (W/He)

Changes in triglyceridesBasal

Measured in mg/dL

Changes in HDL cholesterolBasal

Measured in mg/dL

Changes from baseline HbA1c levelsBasal

Measured in %

Change in interleukin-6 levels in saliva and plasmaBasal

Measured in pmol/ml

Change in Tumor necrosis factor alpha (TNF)-α levels in saliva and plasmaBasal

Measured in pmol/ml

Changes in insulin levelsBasal

Measured in mUI/mL

Changes from baseline HOMA-IR levelsBasal

HOMA-IR = \[blood insulin (mu/L) × Blood glucose (mmol/L)\]/22.5

Changes from baseline HOMA2%B levelsBasal

Measured in %

Changes in waist/hip ratioBasal

Calculated as waist measurement (cm) divided by hip measurement (cm) (W⁄H)

Changes in salivary viscosityBasal

Measured in poise (1 g·(s·cm)-1)

Changes in salivary pHBasal

Logarithm of hydrogen ion concentration

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