جستجوی مقالات مرتبط با کلیدواژه « salivary biomarker » در نشریات گروه « پزشکی »

 We aimed to assess the effect of finger-sucking, nail-biting, and salivary levels of growth hormone on the type of malocclusion among primary school students. 

This study was conducted among 10–11-year-old (4th and 5th class of the elementary schools) students in the center of Karbala city from February to June 2021 using a multistage cluster random sampling technique. Data related to oral habits were obtained using questionnaires, which were distributed among the students and collected the next day after being answered and signed by the parents. Unstimulated saliva samples were collected, and salivary levels of growth hormone were assessed using the enzyme-linked immunosorbent assay (ELISA) method. Data were analyzed via multinomial logistic regression using R software. 

The finger sucking was a significant predictor for class 2 malocclusion (p < 0.001). Night-time finger sucking was a significant predictor for class 3 malocclusion (p = 0.031). Salivary levels of growth hormone and nail-biting were not significant predictors for malocclusion (p ˃ 0.05). Also, finger sucking was a marginally nonsignificant predicator for class 3 malocclusion (p = 0.057). 

 Cross-sectional studies capture data at a single point in time, and they cannot establish a cause-and-effect relationship. More cohort studies are required to reach a conclusion about the effect of non-nutritive sucking habits such as finger sucking, nail-biting and salivary level of growth hormone on type of malocclusion.

We aimed to use polymerase chain reaction (PCR) on genomic deoxyribonucleic acid (DNA) to detect the Db allele and the rs2923234 and rs1049112 single nucleotide polymorphisms (SNPs) of the salivary acidic proline-rich proteins (PRPs) to determine their relationship with dental caries in young children.

DNA was extracted from saliva samples of preschool children aged 3 to 5 years. PCR primers designed around exon 3 of the PRH1 locus yielded a 416-base product representing Db for gel electrophoresis and a 519-base product representing the rs2923234 and rs1049112 SNPs for Sanger sequencing. The data were analyzed using a logistic regression model and a multilayer perceptron artificial neural network.

Forty children with severe caries and 40 caries-free children completed the study. The frequency of the Db gene was 16.3% in the entire study group. The rs2923234 SNP was a marginally significant (P=0.053) predictor for the dependent variable (caries-free or severe caries). However, the rs1049112 (P=0.407) and the Db allele (P=0.442) were not significant predictors.

The rs29232334 SNP could be considered a potential genetic predictor for caries susceptibility.