1.Relationship between gingival thickness and the underlying bone thickness in maxillary anterior tooth area
Lu LIN ; Pinghua HE ; Sha SU ; Juanjuan ZONG
Journal of Practical Stomatology 2016;32(4):569-572
Objective:To study the relationship between gingival thickness(GT)and the underlying alveolar bone thickness(BT)in maxillary anterior region and the distance from cemento-enamel junction(CEJ)to alveolar crest.Methods:30 young volunteers with healthy gingiva were included.GT was measured at 2mm below the CEJ,buccal BT were measured at 3 locations:2,4 and 6 mm below the alveolar crest respectively,the distance from CEJ to alveolar crest were measured by CBCT and clinical direct measure respectively. Results:The correlation coefficient (r)values between GT and BT at 2,4 and 6 mm below alveolar crest were 0.493,0.383 and 0.342 (P <0.001 )respectively,the r value between GT and the distance from CEJ to alveolar crest was -0.21 3(P <0.01 ).No statistically significant difference was observed between CBCT and clinical measurements(t =-0.521 ,P =0.603).Conclusion:There is positive correlation between GT and BT at 2,4 and 6 mm below alveolar crest and negative relation between GT and the distance from CEJ to alveolar crest.
2.Pathological characteristics of loco-regional recurrent nasopharyngeal carcinoma
Juanjuan YONG ; Qiuliang WU ; Yongsheng ZONG ; Jinghui HOU ; Jianzhong LIANG ; Yaling KUANG ; Shaoyan XI ; Jiabin LU
Chinese Journal of Clinical and Experimental Pathology 2014;(4):389-392
Purpose To investigate the pathological characteristics of loco-regional recurrent nasopharyngeal carcinoma ( rNPC ) . Methods Nasopharyngeal biopsy specimens of 46 rNPCs and 63 primary NPCs were collected. HE staining, immunohistochemistry and EBV small RNAs ( EBERs) in-situ hybridization were performed. Results The over-expression rates of both p63 and CK5/6 in rNPC were significantly higher than those of primary NPCs (P=0. 005, P=0. 026), while no statistical significance of Ki-67 over-ex-pression existed between the two groups ( P=0. 387 ) . More necrotic tissues, inflammatory exudates, giant bizarre carcinoma cells, desmoplastic stroma, giant bizarre tumor cells and higher degree of squamous differentiation were found in rNPCs. The carcinoma cells of 5 rNPCs were negative for both EBERs in-situ hybridization and LMP-1 immunohistochemical staining. Conclusion The loco-re-gional rNPC has two peaks of latency interval:2~5 and 9~11 years. The loco-regional rNPC cells have higher degree of squamous differentiation with higher expression of p63 and CK5/6, as well as more invasive ability. In addition, both EBERs in-situ hybridization and LMP-1 immunostaining are negative in 10. 87% (5/46) of loco-regional rNPC.
3.Research progress on the gingival papilla reconstruction
Journal of Prevention and Treatment for Stomatological Diseases 2018;26(12):804-809
The morphology of the gingival papilla plays an important role in the aesthetics of oral soft tissue. Gingival papilla recession forms a visible black triangle, causing a series of problems such as aesthetic defects, pronunciation disorders and food impaction and even endangering the health of periodontal tissue. Gingival papilla reconstruction is an effective way to eliminate the black triangle. However, the treatment of lost or collapsed gingival papilla is unsuccessful. Reconstruction of the interdental papilla for aesthetics zone is the most difficult and challenging periodontal treatment. In this article, we review the past literature and summarize the factors affecting the appearance of gingival papilla, including the distance between the contact point and the alveolar crest, the distance between roots, divergent roots, interdental width, embrasure morphology, crown shape, and gingival biotype. The classification of the gingival papilla based on the loss of papillary height and the nonsurgical and surgical methods for the reconstruction of gingival papilla are reviewed to provide a reference for doctors to reconstruct the gingival papilla.
4.Study on the classification of periodontal phenotype based on crown forms and gingival characteristics
Sha SU ; Lu LIN ; Juanjuan ZONG
Journal of Practical Stomatology 2017;33(5):710-711
87 periodontally healthy young volunteers paticipated in the study.4 clinical parameters were measured:Gingival thickness (GT),gingival width (GW),papilla height (PH) and crown width/crown length ratio (CW/CL).Cluster analysis was employed to identify the periodontal phenotypes.As a result,the periodontal phenotype of maxillary anterior tooth was classified as thin fan type (Ⅰ,n =31),thick and wide type(Ⅲ,n =8) and intermediate type(Ⅱ,n =48) in Han Chinese.
5.Fingerprints,chemical pattern recognition analysis,and multi-index content determination of Jianpi hewei formula
Dongdong HE ; Hui ZONG ; Chongyang WANG ; Juanjuan WAN ; Xuepu MAO ; Chuansheng HUANG ; Xinchun WANG ; Liping WANG
China Pharmacy 2025;36(15):1876-1881
OBJECTIVE To establish HPLC fingerprint for Jianpi hewei formula (JPHWF), conduct chemical pattern recognition analysis, and determine the contents of seven components in the formula, aiming to provide a scientific basis for quality control and further research of JPHWF. METHODS Taking 15 batches of standard decoctions of JPHWF as samples, the HPLC fingerprint was established using the Similarity Evaluation System of TCM Chromatographic Fingerprint (2012 edition). Subsequently, similarity evaluation, as well as identification and attribution analysis of chromatographic peaks, were conducted. Using the common peak areas from the 15 batches of samples as variables, chemical pattern recognition analyses were performed on the samples through hierarchical cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis. The contents of adenine, 5-hydroxymethylfurfural, tetrahydropalmatine, naringin, dehydrocorydaline, neohesperidin and glycyrrhizic acid in 15 batches of samples were determined by HPLC. RESULTS There were 19 common peaks in the characteristic chromatograms for 15 batches of samples with the similarities of more than 0.95. Results of chemical pattern recognition analysis showed that 15 batches of samples could be clustered into 3 categories, and 3 differential compounds were found [peak 7 (5- hydroxymethylfurfural), peak 17 (neohesperidin), and peak 15 (naringin)]. The 7 components were linearly good in the respective concentration ranges (R2≥0.999 4); RSDs of precision, stability and repeatability tests were less than 2% (n=6); the average recovery rate of 98.95%-103.81%, RSD of 0.61%-2.75% (n=6); the contents of them were 0.031-0.106, 0.267-0.824, 0.089- 0.144, 1.344-2.091, 0.089-0.178, 1.328-2.028, 0.040-0.150 mg/g, respectively. CONCLUSIONS Established HPLC fingerprinting method coupled with multi-index content determination is validated to be accurate and reliable, and its combination with chemical pattern recognition analysis can be applied to the quality control of JPHWF.