Appraisal of skeletal maturity indicators with respect to non-invasive biomarkers

Non-invasive salivary biomarkers are being investigated as they may be helpful in predicting skeletal age. This study was conducted to evaluate the correlation between salivary insulin-like growth factor-1, salivary alkaline phosphatase, cervical vertebrae maturation stages and chronological age in the assessment of skeletal age during the growth period. This study also aims to find associations with mandibular base length and maxillary base length. Total 80 eligible subjects aged 7 to 21 years were selected and divided into two gender-specific groups (41 males, 39 females). A further subdivision was made on the basis of six cervical vertebral maturation stages from the lateral cephalogram. The chronological age was given for each subject, and The maxillary base length and the length of the mandibular base was calculated from the impressions on the lateral cephalogram. Saliva samples were collected from each subject to determine salivary IGF-1 and ALP levels using an enzyme-linked immunosorbent assay (ELISA). The data obtained was statistically analysed using SPSS (20.0) software. It was found that the mean IGF-1 activity in saliva was highest at CVMI stage 3 and the highest mean ALP levels in saliva occurred in males at CVMI stage 3 and in females at CVMI stage 4. Mean salivary ALP and IGF-1 levels correlate well with . Salivary ALP levels show a correlation with chronological age and could also be used as a diagnostic model to predict cervical stage. The diagnostic levels of certain biomarkers that appear in human saliva are representative of an individual's circumpubertal growth spurt. The collective pattern of increase and decrease in the sample during the circumpubertal stages is essential to study for orthodontic diagnosis and treatment planning.