Periodontal Status and Endothelial Dysfunction in Patients With Polycystic Ovary Syndrome

NCT ID: NCT06184412

Last Updated: 2024-01-09

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-02-01

Study Completion Date

2022-09-01

Brief Summary

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Emerging research indicates a link between polycystic ovary syndrome (PCOS) and periodontal diseases, revealing the intricate relationship between oral health and systemic conditions. PCOS, a hormonal disorder in women of reproductive age, often associates with obesity, dyslipidemia, and insulin resistance, heightening the risk for type 2 diabetes (T2D) and cardiovascular disease (CVD). The pathogenesis of PCOS involves an inflammatory response marked by increased CRP, inflammatory cytokines, elevated blood leukocytes, adhesion molecule expression, and oxidative stress markers like myeloperoxidase (MPO).

Periodontal diseases, bacterial infections affecting gums, ligaments, cement, and bone, include gingivitis (gum inflammation) and periodontitis (irreversible tissue destruction). Evidence suggests a link between periodontitis and increased CVD risk, while such association with gingivitis is limited.

Potential mechanisms linking periodontal diseases and CVD involve cytokine release, oral bacteria toxin production, and direct bloodstream transfer. Recognition of lipopolysaccharide (LPS) and TNFα triggers innate immune cells via TLR4 and TNFR, activating NF-κB and JNK expression. JNK amplifies inflammatory responses, inducing proinflammatory genes, and TNFα, IL-1, IL-6, and IL-8 can invade endothelial layers, promoting adhesion molecule expression. Enhanced leukocyte ROS production, especially in periodontitis, contributes to endothelial dysfunction and heightened cardiovascular risk.

The activation of multiple inflammatory pathways likely links PCOS, periodontal disease, and increased cardiovascular risk. Thus, the researchers aim to investigate if the presence of periodontal diseases, particularly gingivitis, exacerbates oxidative stress, inflammation and atherosclerosis surrogate markers in women with PCOS, and explore the underlying molecular mechanisms.

Detailed Description

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The population will be identified using the Rotterdam criteria, which will include the following characteristics: irregular ovulation (cycles longer than 35 days or less than 26 days); elevated levels of free testosterone (\>0.5 ng/dl; the cut-off level for free testosterone will be determined based on the mean ± 2 standard deviations from normal levels observed in the control group); hirsutism (total Ferriman-Gallwey score \> 7); and the presence of polycystic ovaries, which will be identified through transvaginal ultrasonography (i.e., the presence of 12 or more small follicles measuring 2 to 9 mm in each ovary). The control group will be matched in BMI and age to the intervention group. In both groups, all medication, pathologies, and other medical conditions that could affect their reproductive physiology will be registered. All patients will receive detailed information on the study, highlighting its benefits and drawbacks, and will sign the informed consent and confidentiality commitment.

A comprehensive periodontal examination will be conducted across all study cohorts, adhering to established consensus criteria. Each tooth in the oral cavity will be probed at 6 points-3 buccal and 3 palatal-utilizing a periodontal chart with a Williams-type millimeter probe. Factors such as tobacco use, tooth brushing frequency, and alcohol consumption will be considered via a questionnaire, as well as through plaque and calculus indices. The periodontal examination will be carried out by a single doctor with training in periodontics to avoid inter-explorer bias. The researchers will also ask about dental treatments received, emphasizing periodontal treatments or those related to generating changes in soft tissues such as orthodontic gingival recessions. The periodontal measures will include the percentage of bleeding on probing (BOP), millimeters of clinical attachment level (CAL), millimeters of probing pockets depth (PPD), percentage of loss of bone, number of teeth with periodontal pockets-PPD ≥4mm- and number of teeth with CAL≥4mm-. The researchers will evaluate the plaque and calculus level using the Silness and Löe index for plaque and O´Leary index for calculus levels. To facilitate the measurement of plaque and calculus indexes, as they will be carried out in a hospital with a high flux of patients, these indices will be measured on the Ramfjord index teeth (right permanent maxillary first molar, right permanent incisor, left permanent first premolar, left mandibular permanent first molar, right permanent mandibular incisor, and right permanent mandibular first premolar).

A peripheral venous blood sample will be taken after 12 hours of fasting, during the follicular phase of the menstrual period of the patients (from the 1st to the 5th day of bleeding) to avoid biases dependent on the variability of sexual hormones. Neutrophils and PBMC will be isolated from 8 mL of EDTA-anticoagulated peripheral blood by means of an immunomagnetic method, following the manufacturer's protocol. In addition, LUNA-FL will be used to determine cell count and viability (acridine orange and propidium iodide double stain). Proteins will be extracted from neutrophils or PBMC on ice. Neutrophils will be lysed for 15 minutes with RIPA Lysis Buffer supplemented with protease and phosphatase inhibitors. The supernatant will be collected after centrifugation for 15 minutes at 16,000g. The total protein concentration will be quantified using a bicinchoninic acid (BCA) protein assay. Aliquots of 25µg of protein will be resolved on 8-16% gradient SDS-polyacrylamide gels and transferred to nitrocellulose membranes. Target proteins will be detected by incubating the membranes with anti-actin, JNK, NFkB, MCP1, GPX-1, NLRP3, ASC, procaspase 1, caspase 1, Beclin, ATG5-ATG12, p62, LC3 I, LC3 II, Pink1, GRP78, eIF2alpha, IRE1 alpha, ATF6, CHOP, PGC1 alpha, mTFA, VDAC, Complex I, II, III, IV and V. The protein signal will be detected by chemiluminescence and analyzed by densitometry.

A parallel plate flow chamber, connected to an inverted microscope, will enable the researchers to measure neutrophil-endothelial cell interactions in vitro. Prior to this, immortalized endothelial cells from the human umbilical vein will be seeded. One million leukocytes in 1 mL of RPMI medium will be drawn across the HUVEC. A video camera connected to the microscope will permit a 5 × 25 mm view of the endothelial cells. Various leukocyte parameters, including rolling velocity, rolling flux, and adhesion, will be evaluated over a period of 5 minutes. Analysis of serum cytokines, cellular adhesion molecules, and glutathione will be measured with a Luminex® 200 analyzer system following the Milliplex® MAP Kit manufacturer's procedure or ELISA technique.

This study was designed to achieve a power of 80% and to detect significant differences of 20 % in relation to the primary efficacy criterion - leukocyte-endothelium interactions (measured by adhesion of neutrophils) - assuming that 3 groups existed. Under these premises, at least 12 subjects per group were considered. Normally and non-normally distributed data will be expressed as mean ± standard deviation (SD) and median (25th-75th percentiles), respectively. Qualitative data will be expressed as percentages. The data will be analyzed using an unpaired Student's t test or a Mann-Whitney U test for parametric and non-parametric data, respectively. When comparing three groups, statistical significance will be assessed by one-way ANOVA or the Kruskal Wallis test followed by post hoc test. The strength of the association between variables will be measured by means of Pearson's or Spearman correlation coefficient, for parametric and non-parametric data, respectively. To predict the value of a variable based on another variable, linear regression analysis will be used. Differences will be considered significant when p \< 0.05, with a confidence interval of 95%. Analysis will be performed with SPSS 22.0.

Conditions

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Periodontal Diseases

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Control group without periodontal disease

Women without periodontal disease neither PCOS

No interventions assigned to this group

PCOS group with or without periodontal disease

Women with PCOS with or without periodontal disease

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Women with polycystic ovary syndrome (PCOS) according to the Rotterdam criteria:

1. Irregular ovulation (cycles longer than 35 days or less than 26 days)
2. Elevated levels of free testosterone (\>0.5 ng/dl)
3. Hirsutism and the presence of polycystic ovaries
* Healthy women without periodontal diseases matched in BMI and age to the PCOS group.

Exclusion Criteria

* Other systemic inflammatory conditions
* Recent antibiotic use
* Chronic anti-inflammatory use
* Cancerous or bone-affecting pathologies
* Diabetes or autoimmune diseases
* Use of any medication during the previous semester
Minimum Eligible Age

18 Years

Maximum Eligible Age

45 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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Instituto de Salud Carlos III

OTHER_GOV

Sponsor Role collaborator

Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana

OTHER

Sponsor Role lead

Responsible Party

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Milagros Rocha Barajas

Senior Postdoctoral Researcher

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Milagros Rocha, PhD

Role: PRINCIPAL_INVESTIGATOR

FISABIO-HOSPITAL DR PESET

Locations

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Hospital Universitario Doctor Peset

Valencia, , Spain

Site Status

Countries

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Spain

References

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Marquez-Arrico CF, Silvestre-Rangil J, Gutierrez-Castillo L, Martinez-Herrera M, Silvestre FJ, Rocha M. Association between Periodontal Diseases and Polycystic Ovary Syndrome: A Systematic Review. J Clin Med. 2020 May 23;9(5):1586. doi: 10.3390/jcm9051586.

Reference Type BACKGROUND
PMID: 32456146 (View on PubMed)

Romandini M, Baima G, Antonoglou G, Bueno J, Figuero E, Sanz M. Periodontitis, Edentulism, and Risk of Mortality: A Systematic Review with Meta-analyses. J Dent Res. 2021 Jan;100(1):37-49. doi: 10.1177/0022034520952401. Epub 2020 Aug 31.

Reference Type BACKGROUND
PMID: 32866427 (View on PubMed)

Porwal S, Tewari S, Sharma RK, Singhal SR, Narula SC. Periodontal status and high-sensitivity C-reactive protein levels in polycystic ovary syndrome with and without medical treatment. J Periodontol. 2014 Oct;85(10):1380-9. doi: 10.1902/jop.2014.130756. Epub 2014 Mar 4.

Reference Type BACKGROUND
PMID: 24592911 (View on PubMed)

Schenkein HA, Loos BG. Inflammatory mechanisms linking periodontal diseases to cardiovascular diseases. J Clin Periodontol. 2013 Apr;40 Suppl 14(0 14):S51-69. doi: 10.1111/jcpe.12060.

Reference Type BACKGROUND
PMID: 23627334 (View on PubMed)

Greabu M, Giampieri F, Imre MM, Mohora M, Totan A, Pituru SM, Ionescu E. Autophagy, One of the Main Steps in Periodontitis Pathogenesis and Evolution. Molecules. 2020 Sep 22;25(18):4338. doi: 10.3390/molecules25184338.

Reference Type BACKGROUND
PMID: 32971808 (View on PubMed)

Domon H, Takahashi N, Honda T, Nakajima T, Tabeta K, Abiko Y, Yamazaki K. Up-regulation of the endoplasmic reticulum stress-response in periodontal disease. Clin Chim Acta. 2009 Mar;401(1-2):134-40. doi: 10.1016/j.cca.2008.12.007. Epub 2008 Dec 13.

Reference Type BACKGROUND
PMID: 19109937 (View on PubMed)

Paladines N, Dawson S, Ryan W, Serrano-Lopez R, Messer R, Huo Y, Cutler CW, Ramos-Junior ES, Morandini AC. Metabolic reprogramming through mitochondrial biogenesis drives adenosine anti-inflammatory effects: new mechanism controlling gingival fibroblast hyper-inflammatory state. Front Immunol. 2023 Jun 7;14:1148216. doi: 10.3389/fimmu.2023.1148216. eCollection 2023.

Reference Type BACKGROUND
PMID: 37350964 (View on PubMed)

Other Identifiers

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PI19/00437B

Identifier Type: -

Identifier Source: org_study_id

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