1.Application of tissue engineering scaffolds in neural repair
Qianqian HAN ; Pengrui WANG ; Chunren WANG ; Zhaopeng YANG ; Hong WANG
Chinese Journal of Tissue Engineering Research 2015;(43):7035-7040
BACKGROUND:Tissue engineering scaffolds can create proper nerve regeneration microenvironment, enrich nutritional factors for nerve regeneration and promote axonal growth. OBJECTIVE:To review the progress of tissue engineering scaffolds in nerve repair in recent years. METHODS:A computer-based retrieval was performed to search ful-text articles addressing tissue engineering scaffolds used to repair nerve damage published from 2009 to 2014 in PubMed databases using the keywords of “nerve regeneration, prostheses and implants” as wel as articles published from 2004 to 2014 in CNKI database using the keywords of “nerve repair, material” in Chinese. RESULTS AND CONCLUSION: Currently, scaffold materials for nerve damage mainly include natural materials, naturaly derived materials, synthetic materials and composites, al of which have their own advantages and disadvantages. By chemical crosslinkers or chemical modification, the naturaly derived polymer can be combined with other natural or synthetic composite materials, to improve their physicochemical and biological properties, i.e., the composite scaffolds have better effects than single materials in nerve regeneration. Therefore the current research focus is composite materials. In clinical research, colagen scaffold for nerve repair has entered the clinical research stage.
2.A meta-analysis of the association between thyroglobulin gene polymorphism and autoimmune thyroid disease
Jia LIU ; Yuan XU ; Xia GAO ; Zhi YAO ; Pengrui ZHANG ; Guang WANG
Chinese Journal of Endocrinology and Metabolism 2014;30(3):221-224
The association between thyroglobulin gene polymorphism and autoimmune thyroid disease was investigated.A total of eight case-control studies were included.E33SNP was associated with increased susceptibility of autoimmune thyroid disease in recessive model (OR =1.54,95 % CI 1.21 ~ 1.97,P =0.024),while E12SNP was associated with increased susceptibility of autoimmune thyroid disease in allele model (OR =1.12,95% CI 1.05 ~1.21,P =0.033).Thyroglobulin gene polymorphism seems to be associated with autoimmune thyroid disease.
3.Correlation between quantitative parameters of dynamic contrast?enhanced MRI after neoadjuvant chemotherapy and pathological grades in esophageal squamous cell carcinoma
Yanan LU ; Hongkai ZHANG ; Zhaoqi WANG ; Ling MA ; Yan ZHAO ; Pengrui GAO ; Yingshu WANG ; Zhengyan JIA ; Shuang LU ; Hailiang LI ; Jianjun QIN ; Jinrong QU
Chinese Journal of Radiology 2019;53(7):573-578
Objective To investigate the correlation between quantitative parameters of dynamic contrast?enhanced MRI (DCE?MRI) after neoadjuvant chemotherapy and pathological grades in esophageal squamous cell carcinoma. Methods Fifty?six patients with esophageal squamous cell carcinoma who were confirmed by esophagoscope and received neoadjuvant chemotherapy before operation between September 2015 and December 2017 in the Affiliated Cancer Hospital of Zhengzhou University were prospectively analyzed, and MRI examination was performed within one week before operation. All patients underwent routine chest MRI and DCE?MRI scanning, and quantitative parameters of DCE?MRI, including volume transfer constant (Ktrans),exchange rate constant (Kep) and extravascular extracellular volume fraction (Ve) were measured. Pathological grading was assessed as highly differentiated, moderately differentiated, poorly differentiated,and undifferentiated. Intraclass correlation coefficient (ICC) was calculated from the results of two radiologists. Kruskal?Wallis H test was used to compare the differences of quantitative parameters between different pathological grade groups of DCE?MRI,and Mann?Whitney U test was utilized to compare the intraclass differences among pathological grades. Spearman rank correlation analysis was performed for evaluating the correlation between DCE?MRI parameters and pathological grade of esophageal squamous cell carcinoma. The receiver operating characteristic (ROC) curves were used to evaluate the diagnosis accuracy of different DCE?MRI parameters in pathological grade of esophageal squamous cell carcinoma after neoadjuvant chemotherapy. Results The 56 patients were divided into four groups according to pathological findings: well differentiated group (n=8), moderately differentiated group (n=39), poorly differentiated group (n=9) and undifferentiated group (n=0). The differences of Ktransmean,Ktrans75%,Kepmax, Kepmean,Kep75% between different pathological grading groups were statistically significant (all P<0.05),and these parameters showed positive correlation significantly with pathological grading (r values were 0.778, 0.632, 0.594, 0.725, 0.489 respectively, all P<0.05). The ROC curve area of Ktransmean, Ktrans75% in the diagnosis of pathological grade for esophageal squamous cell carcinoma was 0.750,0.856,respectively. The diagnostic efficiency of Ktrans75% was the best with the diagnostic threshold of 0.693/min,sensitivity of 87.5%, specificity of 78.5%, respectively. Conclusion The quantitative parameters of DCE?MRI after neoadjuvant chemotherapy in esophageal squamous cell carcinoma have the potential value for predicting pathological grade.
4.Comparative Analysis of Volatile Oil Constituents of Glehnia littoralis from Different Producing Areas
Huiming WANG ; Zhiqiang LYU ; Hao’er ZHANG ; Dongqi PAN ; Pengrui WANG ; Hongbing LIU
China Pharmacy 2019;30(22):3109-3112
OBJECTIVE: To compare the difference in volatile oil constituents of Glehniae littoralis from 3 producing areas as Shandong Laiyang, Hebei Anguo, Inner Mongolian Chifeng. METHODS: The method of steam distillation was used to extract the volatile oil of G. littoralis from different areas and calculate the extraction rate. The constituents of volatile oil were analyzed by using GC-MS. The data was corrected by Xcalibur chemical workstation. The constituents were searched by NIST 11.0 mass spectrometry database (matching degree >800), and the relative mass fraction of each chemical constituent was obtained by peak area normalization. RESULTS: The extraction rate of volatile oil in G. littoralis from Laiyang was 0.013%, which was far lower than G. littoralis from Anguo (0.099%) and G. littoralis from Chifeng (0.105%). There were 15, 18 and 27 constituents identified in volatile oil of G. littoralis from 3 producing areas; the relative mass fractions were 89.29%, 96.76%, 94.53%. Falcarinol was a common compound with the highest relative mass fraction of the volatile oil of G. littoralis from different producing areas; the relative mass fractions were 69.79%, 90.89% and 71.04%, respectively. Fatty acids were rich in the sample from Laiyang, while C15H24 sesquiterpenoids were rich in the other samples from Anguo and Chifeng. CONCLUSIONS: Volatile oil of G. littoralis could be used as potential chemical markers to distinguish different producing areas due to their significant differences in chemical components.