Evaluation of Salivary and Serum BAFF and TWEAK Levels in Patients with Thalassemia Major and Gingival Inflammation: An Observational Case–Control Study

Limited research has been conducted to evaluate the relationship between periodontal parameters, systemic biomarkers, and thalassemia major (TM) concerning gingival inflammation. This study aims to assess the potential association of B cell activating factor (BAFF) and tumor necrosis factor weak inducer of apoptosis (TWEAK) with periodontal parameters in patients diagnosed with TM and gingivitis, compared with their healthy counterparts.The current study involved 101 participants aged 18 to 35 years; each subject completed a preliminary assessment to ascertain their eligibility for recruitment. Periodontal parameters were recorded, including the following indices: plaque index, bleeding on probing, and the Oral Hygiene Simplified Index (OHS-I-calculus index). The concentrations of BAFF and TWEAK in saliva and serum were evaluated using enzyme-linked immunosorbent assay.The Mann-Whitney and the Kruskal-Wallis tests were employed for comparisons, with the Dunn-Bonferroni <i>post hoc</i> method applied for pairwise multiple comparisons when applicable. Intraclass correlation coefficient and kappa tests were used to test the reliability of the examiner calibration. Spearman rank correlation was used to assess the relationship between the biomarkers under study and clinical periodontal data. Additionally, multiple linear regression analysis was utilized to investigate the association of biomarkers, TM, and gingivitis while controlling for potential confounding effect of age. <i>p</i>-Values below 0.05 were set to be statistically significant.Both biomarkers were detected in all subjects, with a significant difference in their levels between the groups. Additionally, significant correlations were found between the levels of TWEAK and BAFF and periodontal indices (<i>p</i> < 0.001). Multiple linear regressions demonstrated a significant association between the elevated levels of salivary and serum BAFF and TWEAK with TM and gingival health status (<i>p</i> < 0.05), as for age was not statistically significant.The findings demonstrate a possible correlation between elevated salivary and serum levels of BAFF and TWEAK and the presence of TM and gingival inflammation, suggesting that these biomarkers may reflect systemic immune alterations in TM in the presence of gingival inflammation.

Authors

Institutions

Publication Details

Journal
European Journal of Dentistry
Published
2025-08-18
DOI
https://doi.org/10.1055/s-0045-1810423
Primary Topic
Oral and gingival health research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Salivary and Serum BAFF and TWEAK Levels in Patients with Thalassemia Major and Gingival Inflammation: An Observational Case–Control Study

Maha Sh. Mahmood, Rua'a Riyadh
European Journal of Dentistry
Oral and gingival health research
article

Evaluation of Salivary and Serum BAFF and TWEAK Levels in Patients with Thalassemia Major and Gingival Inflammation: An Observational Case–Control Study

Maha Sh. Mahmood, Rua'a Riyadh
article en

Abstract

Limited research has been conducted to evaluate the relationship between periodontal parameters, systemic biomarkers, and thalassemia major (TM) concerning gingival inflammation. This study aims to assess the potential association of B cell activating factor (BAFF) and tumor necrosis factor weak inducer of apoptosis (TWEAK) with periodontal parameters in patients diagnosed with TM and gingivitis, compared with their healthy counterparts.The current study involved 101 participants aged 18 to 35 years; each subject completed a preliminary assessment to ascertain their eligibility for recruitment. Periodontal parameters were recorded, including the following indices: plaque index, bleeding on probing, and the Oral Hygiene Simplified Index (OHS-I-calculus index). The concentrations of BAFF and TWEAK in saliva and serum were evaluated using enzyme-linked immunosorbent assay.The Mann-Whitney and the Kruskal-Wallis tests were employed for comparisons, with the Dunn-Bonferroni <i>post hoc</i> method applied for pairwise multiple comparisons when applicable. Intraclass correlation coefficient and kappa tests were used to test the reliability of the examiner calibration. Spearman rank correlation was used to assess the relationship between the biomarkers under study and clinical periodontal data. Additionally, multiple linear regression analysis was utilized to investigate the association of biomarkers, TM, and gingivitis while controlling for potential confounding effect of age. <i>p</i>-Values below 0.05 were set to be statistically significant.Both biomarkers were detected in all subjects, with a significant difference in their levels between the groups. Additionally, significant correlations were found between the levels of TWEAK and BAFF and periodontal indices (<i>p</i> < 0.001). Multiple linear regressions demonstrated a significant association between the elevated levels of salivary and serum BAFF and TWEAK with TM and gingival health status (<i>p</i> < 0.05), as for age was not statistically significant.The findings demonstrate a possible correlation between elevated salivary and serum levels of BAFF and TWEAK and the presence of TM and gingival inflammation, suggesting that these biomarkers may reflect systemic immune alterations in TM in the presence of gingival inflammation.

European Journal of Dentistry
University of Baghdad (IQ)
Openalex Percentile: Top 65%
Oral and gingival health research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.