IL-1β and MMP-1 in crevicular fluid linked to pediatric periodontal index

| Posted in: Scientific

Journal name: Journal of Indian Society of Periodontology
Original article title: Correlation between interleukin-1β and matrix metalloproteinase-1 levels in crevicular fluid with a proposed periodontal disease index in children
The Journal of Indian Society of Periodontology (JISP) publishes original scientific articles on periodontology (the study of supporting structures of teeth) and oral implantology. It is a bimonthly open-access journal with special issues for specific occasions.
This page presents a generated summary with additional references; See source (below) for actual content.

Summary of article contents:

Introduction

Periodontal disease, characterized by chronic inflammation due to microbial infection, poses a significant health issue, especially among children. In Mexico, it is the second leading oral disease after caries, with notable prevalence rates of gingivitis among children and adolescents. This study aims to explore the connection between specific biomarkers in crevicular fluid—namely interleukin-1β (IL-1β) and matrix metalloproteinase-1 (MMP-1)—and the severity of periodontal disease in schoolchildren. By employing a clinical score based on five parameters, the research seeks to correlate these biomarkers with periodontal disease severity.

Significant Concept: Correlation Between Clinical Score and Biomarkers

The study found that the clinical score for periodontal disease in children directly correlated with the levels of biofilm, IL-1β, and MMP-1. Three categories of gingivitis severity—mild, moderate, and severe—were identified in the participants, with severe cases being more common among those with poor oral hygiene habits. Statistically significant increases in biofilm percentage as well as IL-1β and MMP-1 levels were observed as the severity of gingivitis progressed. The results suggest that higher clinical scores indicate worse periodontal conditions and elevated inflammatory biomarkers, reflecting the relationship between clinical parameters and underlying inflammatory processes.

Conclusion

The proposed clinical scoring system serves as a valuable diagnostic tool for identifying early stages of periodontal disease in schoolchildren. Its validation against inflammatory biomarkers supports its utility in clinical settings for timely intervention. By recognizing the severity of periodontal issues early, appropriate treatment strategies can be implemented to prevent long-term damage and improve dental health outcomes in children. Further research is necessary to expand these findings across broader populations and to refine the scoring method for enhanced accuracy in clinical assessments.

Original source:

This page is merely a summary which is automatically generated hence you should visit the source to read the original article which includes the author, publication date, notes and references.

Author:

Juan Manuel Guízar-Mendoza, Christian Andrea López-Ayuso, Laura Anguiano-Flores, Martha Eugenia Fajardo-Araujo, Norma Amador-Licona


Journal of Indian Society of Periodontology:

(A bimonthly open-access journal)

Full text available for: Correlation between interleukin-1β and matrix metalloproteinase-1 levels in crevicular fluid with a proposed periodontal disease index in children

Year: 2018 | Doi: 10.4103/jisp.jisp_383

Copyright (license): CC BY-NC-SA


FAQ section (important questions/answers):

What is the purpose of the study on crevicular fluid?

The study aims to correlate levels of interleukin-1β (IL-1β) and matrix metalloproteinase-1 (MMP-1) in crevicular fluid with the severity of periodontal disease in schoolchildren aged 9 to 12 years.

How many schoolchildren participated in the study?

A total of 82 schoolchildren, aged 9 to 12 years, participated in the study, with a gender distribution of 44 girls and 38 boys.

What parameters were measured during the clinical examination?

The clinical examination measured biofilm percentage, attachment level, gingival recession, dental calculus, and bleeding on probing, which contributed to a disease severity score.

What were the findings regarding biofilm and cytokine levels?

As the severity of periodontal disease increased, levels of biofilm, IL-1β, and MMP-1 also increased significantly, indicating a correlation between clinical scores and these inflammatory biomarkers.

What implications do the study findings have for diagnosis?

The findings suggest that the proposed clinical score can be a useful diagnostic tool to identify early stages of periodontal disease in children, facilitating timely and effective dental care.

Glossary definitions and references:

Scientific and Ayurvedic Glossary list for “IL-1β and MMP-1 in crevicular fluid linked to pediatric periodontal index”. This list explains important keywords that occur in this article and links it to the glossary for a better understanding of that concept in the context of Ayurveda and other topics.

1) Disease:
Disease refers to a pathological condition of a living organism, often disrupting normal bodily functions. In the context of periodontal disease, it highlights the chronic inflammation caused by microbial infiltration, leading to tissue destruction and tooth loss. Understanding disease mechanisms aids in developing effective treatment strategies.

2) Study (Studying):
Study denotes structured research carried out to understand a specific phenomenon, often yielding valuable findings. In this context, the study focuses on correlating biochemical markers with periodontal disease in children, advancing knowledge on disease severity which can enhance diagnostic and treatment methodologies.

3) Table:
Table refers to a systematic arrangement of data, facilitating easy comparison and analysis. In the context of the study, tables present quantifiable data such as biofilm percentage and inflammatory marker levels, enabling clear visualization of results that highlight correlations and differences across disease severity classifications.

4) Bleeding:
Bleeding, in periodontal terms, indicates the presence of inflammation and potential disease. It often occurs upon probing or during inflammatory responses. Assessing bleeding on probing is crucial for diagnosing the severity of periodontal conditions, as it signals tissue damage and guides further treatment interventions.

5) Hygiene (Hygienic):
Hygiene pertains to practices that promote health and prevent disease. In oral health, good hygiene practices, including regular brushing and flossing, are pivotal in controlling biofilm and preventing periodontal disease. The study highlights the relationship between poor hygiene and the prevalence of gingival disease in children.

6) Inflammation:
Inflammation is the body’s response to harmful stimuli, characterized by redness, swelling, and pain. In periodontal disease, inflammation reflects the immune response to microbial infections, resulting in tissue breakdown. Understanding inflammation is critical for assessing disease severity and planning effective treatment strategies.

7) Reliability:
Reliability indicates the consistency of a measurement or evaluation method. In this study, reliability assessed the clinical procedures' accuracy conducted by trained professionals. High reliability (Cohen's kappa coefficient >0.8) ensures that the findings are trustworthy and can be replicated in future studies or clinical assessments.

8) Science (Scientific):
Science encompasses systematic knowledge that derives from observation and experimentation. The study embodies scientific principles by examining periodontal disease through empirical methods, measuring cytokines in crevicular fluid, and assessing their correlation with clinical parameters, thereby contributing to the broader field of dental and health sciences.

9) Pur:
Poor describes inadequate conditions or standards, such as poor oral hygiene practices leading to periodontal disease. The study findings emphasize that children from low socioeconomic backgrounds often exhibit poorer dental hygiene, significantly correlating with increased severity of periodontal disease, highlighting the need for targeted educational interventions.

10) Life:
Life represents the state of living organisms, comprising biological and physiological processes. The implications of periodontal disease in this study affect children's quality of life, as oral health is integral to overall well-being. Addressing periodontal disease can enhance health outcomes and life quality throughout childhood.

11) Malnutrition:
Malnutrition refers to deficiencies or excesses in nutrient intake affecting health. In the context of periodontal health, malnutrition can lead to compromised immune response, exacerbating periodontal disease and increasing susceptibility. The study acknowledges that sociodemographic factors, including nutrition, influence oral health outcomes in children.

12) Measurement:
Measurement involves determining the extent or quantity of a parameter. In the study, accurate measurement of clinical data such as probing depth, attachment levels, and cytokine concentrations is crucial for assessing disease severity and correlating it with clinical findings to support reliable diagnosis and treatment planning.

13) Discussion:
Discussion involves analyzing and interpreting study findings within a broader context. In this study, the discussion section reflects on the implications of results related to periodontal disease biomarkers, correlating clinical parameters with potential underlying biological mechanisms, ultimately informing future research and clinical practice in dentistry.

14) Reflecting:
Reflecting means contemplating the significance or implications of data. In the study, reflecting on observed correlations between clinical scores and inflammatory markers helps to elucidate the pathophysiology of periodontal disease, reinforcing the importance of early identification and intervention for effective management.

15) Developing:
Developing refers to the process of growth or advancement. In the context of this study, developing a new clinical score enhances the diagnostic capability for identifying periodontal disease severity in schoolchildren. Such advancements facilitate timely interventions that can prevent disease progression and improve overall oral health.

16) Irritation:
Irritation indicates a response to harmful stimuli causing discomfort or damage. In periodontal disease, dental calculus causes gingival irritation, leading to inflammation. The study highlights the relationship between irritation and periodontal disease, emphasizing the importance of regular dental care to prevent irritation-associated complications.

17) Antibiotic (Antibacterial):
Antibiotic refers to substances that inhibit microbial growth. In the context of periodontal disease, antibiotics can either be expected treatments or factors to consider due to previous usage. The study excluded participants who had recent antibiotic treatments to ensure unstipulated variables did not affect the results.

18) Knowledge:
Knowledge encompasses information and understanding gained through experience or education. In the study, knowledge about oral hygiene practices is crucial for preventing periodontal disease. Increasing awareness in children regarding hygiene can reduce the prevalence of periodontal conditions, thus improving oral and overall health outcomes.

19) Activity:
Activity denotes a state of doing or functioning. In periodontal disease, microbial activity in biofilms leads to inflammation and tissue destruction. In this study, increased inflammatory activity corresponds with disease severity, where the activity of cytokines like IL-1β and MMP-1 reflects the ongoing pathological processes.

20) Lighting:
Lighting is the arrangement of light in a specific environment. Adequate lighting during dental examinations enhances visibility and accuracy in assessing periodontal conditions. The study ensured examinations occurred under proper lighting to reliably document findings, impacting the assessment of oral health in the participants.

21) Relative:
Relative signifies a comparative context. In the study, the relative measures of cytokines in crevicular fluid provide insights into their significance concerning periodontal disease severity. Understanding these relations aids in discerning which biomarkers may be more indicative of active periodontal disease processes.

22) Account:
Account refers to consideration or acknowledgment of factors influencing a particular situation. In this study, accounting for various clinical parameters and sociodemographic influences ensures comprehensive understanding and accurate evaluation of periodontal disease in children, fostering better interpretation of results and implications for treatment.

23) Cotton:
Cotton serves as a common material used in dental procedures, often for isolation and moisture control. In the study, cotton was used to isolate teeth when collecting crevicular fluid samples, ensuring accurate measurements by minimizing contamination, thereby enhancing the reliability of biochemical evaluations.

24) Kappa:
Kappa refers to Cohen's kappa coefficient, a statistical measure for reliability between raters. In the context of the study, a kappa value greater than 0.8 indicates a high level of agreement between dental examiners, confirming the consistency of clinical assessments and the validity of the findings.

25) Blood:
Blood in this context signifies the bodily fluid that can contaminate crevicular fluid samples, potentially affecting study results. The exclusion of any samples contaminated with blood ensures the accuracy of IL-1β and MMP-1 measurements in crevicular fluid, leading to reliable study outcomes.

26) Sign:
Sign refers to any objective finding that indicates the presence of disease. In the study, signs such as bleeding on probing are critical indicators of periodontal disease severity. Recognizing these signs increases the ability to diagnose and manage periodontal conditions among children effectively.

27) Post:
Post often refers to subsequent actions or analyses. In research, post hoc tests are conducted after initial findings to explore data differences further. In this study, the Bonferroni post hoc test was employed to analyze differences between groups, thus providing a deeper understanding of the results.

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