Effect of ten different biomarkers in the gingival crevicular fluid of obese and non-obese undergoing fixed orthodontic treatment

OBJECTIVE

The aim of this study is to evaluate the effect of ten proinflammatory cytokines in GCF of participants with raised body mass index (BMI) compared to non-obese subjects undergoing fixed orthodontic treatment.

PATIENTS AND METHODS

In the cross-sectional cohort, subjects were shortlisted through the purposive sampling method with the same age and gender and similar characteristics (cohort). For inclusion and exclusion, predefined criteria were followed. In all included participants obese and non-obese collection of GCF was made from mandibular canine to canine. Identification of inflammatory mediators (MPO and CRP) leptin, adiponectin, and resistin (pg/mL). Bone remodeling biomarkers RANKL (pg/mL) and tissue remodeling biomarkers MMP8, MMP9, TIMP1, and MMP8/TIMP1, MMP9/TIMP1 ratio were collected and blinded by the investigator. Normal distribution of data i.e., age, BMI, the flow rate of GCF, indices plaque and gingival, and uWMS were compared using a t-test. Non-normality biomarker data were evaluated using Mann-Whitney U-test. To assess the relationship between the concentration of GCF biomarkers and plaque and gingival indices Pearson and Spearman correlation coefficients were used.

RESULTS

The total number of participants included was 44. In the obese and non-obese groups, the male/female ratio was the same i.e., (n=11 each). The mean age of participants in the obese group was (25.7±1.55 years), whereas the non-obese group was (26.1±1.29 years). In obese the mean BMI was (33.6±2.1 kg/m2) whereas in non-obese (22.9±1.9 kg/m2) (p<0.02). Among the levels of biomarkers adiponectin (p<0.006) and leptin (p<0.028) demonstrated a significant difference between obese and non-obese participants. Also, a significant difference was noted between obese and non-obese in tissue remodeling biomarker MMP9 (p<0.03).

CONCLUSIONS

A surge in the level of the biomarkers, i.e., MMP9, leptin, and adiponectin in the gingival crevicular fluid is found in obese undergoing fixed orthodontic treatment.

Differences in hard and soft tissue profile after orthodontic treatment with and without extraction

Aims and Background

Premolar extraction is often associated with variations in the soft tissue profile that lead to considerable improvements in the facial profile. This study compared the changes in the facial profile of hard and soft tissues and investigated possible differences in the various facial parameters between patients who were treated with and without premolar extraction.

Materials and Methods

A total of 98 orthodontically treated patients were divided into two groups with an equal number of participants. Premolar extraction was performed in the test group only. A total of 33 landmarks were identified on each cephalometric radiograph. The intraclass correlation coefficient was calculated. We evaluated changes in measurements between pre- and post-treatment by performing the signed-rank test. We used the Kruskal-Wallis test to compare changes between the groups.

Results

No significant differences were observed in the treatment outcomes of skeletal and soft tissue variables in class I and class II participants between the test and control groups (P > 0.01). However, significant differences were noted in the treatment outcomes of dental variables in class II participants between the groups. Dental variables did not show any significant difference in class III patients between the groups.

Conclusion

This study showed that skeletal and soft tissue changes were similar in skeletal except for few dental parameters following orthodontic treatment with and without premolar extraction.