1.Progress of new biological markers based on proteomic approaches in colon cancer
Jiaoli ZHANG ; Xiaofang JIA ; Jianxin LYU ; Lijun ZHANG
Journal of International Oncology 2014;41(10):771-774
Colon cancer is the most common malignant tumor in the worldwide scale and it is one of the leading causes of cancer-related deaths.Finding accurate and informative cancer markers will provide significant insights in diagnosis and treatment strategy of colon cancer.Proteomic technology is an important tool in cancer research.In recent years,many studies have found a great of potential biomarkers of colon cancer.
2.Study on once sampling quantitation based on information entropy of ISSR amplified bands of Houttuynia cordata.
Haiqin WANG ; Wenlong LIU ; Fuyuan HE ; Zuohong CHEN ; Xili ZHANG ; Xianggui XIE ; Jiaoli ZENG ; Xiaopeng DUAN
China Journal of Chinese Materia Medica 2012;37(3):288-292
OBJECTIVETo explore the once sampling quantitation of Houttuynia cordata through its DNA polymorphic bands that carried information entropy, from other form that the expression of traditional Chinese medicine polymorphism, genetic polymorphism, of traditional Chinese medicine.
METHODThe technique of inter simple sequence repeat (ISSR) was applied to analyze genetic polymorphism of H. cordata samples from the same GAP producing area, the DNA genetic bands were transformed its into the information entropy, and the minimum once sampling quantitation with the mathematical mode was measured.
RESULTOne hundred and thirty-four DNA bands were obtained by using 9 screened ISSR primers to amplify from 46 strains DNA samples of H. cordata from the same GAP, the information entropy was H=0.365 6-0.978 6, and RSD was 14.75%. The once sampling quantitation was W=11.22 kg (863 strains).
CONCLUSIONThe "once minimum sampling quantitation" were calculated from the angle of the genetic polymorphism of H. cordata, and a great differences between this volume and the amount from the angle of fingerprint were found.
Amplified Fragment Length Polymorphism Analysis ; DNA, Plant ; Genetic Variation ; Houttuynia ; genetics ; Microsatellite Repeats ; genetics
3.Study on the correlation between the prevalence of thyroid nodule and blood glucose, lipid metabolism and iodine nutrient level
Peng DU ; Jiaoli ZHU ; Qiu QIN ; Ronghua SONG ; Jing ZHAO ; Jianbin XU ; Chaoqun GAO ; Yudie FANG ; Jin'an ZHANG
Clinical Medicine of China 2021;37(6):526-531
Objective:To analyze the correlation between simple thyroid nodule and blood lipid and glucose metabolism and iodine nutrition level.Methods:A cross-sectional study was conducted by collecting data of the population undergoing epidemiological investigation in Jinshan District, Shanghai from July to December 2015, to calculate the prevalence of thyroid nodules and analyze relevant functional indicators.Results:Simple thyroid nodules were detected in 603 subjects, with a prevalence of 22.6% (603/2 669). There were 358 female patients with simple thyroid nodules, with a prevalence rate of 26.9%, and 245 male patients with simple thyroid nodules, with a prevalence rate of 18.3%. The prevalence of simple thyroid nodule in female was higher than that in male, and the difference was statistically significant (χ 2=27.686, P<0.001). In addition, the prevalence of simple thyroid nodules increased with age (13.1% (92/704) and 20.2% (104/514) and 25.1% (145/578) and 24.4% (107/439) and 36.3% (98/270) and 34.8% (57/164), χ 2=83.872,P<0.001). In the ≤30 years group (8.0% (30/704) vs. 18.8% (62/331), χ 2=35.716, P<0.001), >30 to ≤40 years old group (14.1% (37/263) vs. 26.7% (67/251), χ 2=12.683, P<0.001), >60 to ≤70 years old group (26.2% (33/126) vs. 45.1% (65/144), χ 2=10.435, P<0.001), and the 70-year-old group (24.4% (21/86) vs. 46.2% (36/78), χ 2=8.521, P<0.001). The prevalence of simple thyroid nodules in males was lower than that in females. In the simple positive thyroid nodule group, Fasting blood glucose (5.12 (4.80, 5.69) and 5.02 (4.72, 5.48)), total cholesterol (1.24 (0.85, 1.86) and 1.13 (0.77, 1.76)), triglyceride (4.77 (4.09, 5.48) and 4.49 (3.92, 5.16)), low density lipoprotein((2.79 (2.26, 3.36) and 2.63 (2.19, 3.16)), and high density lipoprotein cholesterol (1.41 (1.18, 1.66) and 1.35 (1.13, 1.61)) were higher than those in the negative group ( U values were 554 818, 578 468, 535 622, 556 067 and 567 960, respectively, all P<0.01). The BMI index grade distribution of thyroid nodule positive group was higher than that of negative group, and the difference was statistically significant (3.7% (77/2 066), 50.1% (1 034/2 066), 32.4% (669/2 066), 13.8% (286/2 066), 3.2% (19/603), 43.6% (263/603), 38.1% (230/603), 15.1% (91/603), χ2=9.5201, P=0.023). The prevalence of simple thyroid nodules was significantly lower in the iodized salt group than in the non-iodized salt group (20.7% (436/2 102) vs. 29.5% (167/567), χ 2=19.376, P<0.001). The urinary iodine level in the positive thyroid nodule group was significantly lower than that in the negative group (148.4(100.2, 213.7) vs. 169.5(115.4, 241.75), U=545 129.5, P<0.001). After Logistic regression screening, age ( OR=1.57, 95% CI: 1.292-1.908, P<0.001), gender ( OR=1.278, 95% CI: 1.193-1.368, P<0.001), BMI grade ( OR=1.166, 95% CI: 1.022-1.330, P=0.022), total cholesterol ( OR=1.105, 95% CI: 1.005-1.214, P=0.040), iodized salt ( OR=0.689, 95% CI: 0.556-0.854, P=0.001) were independent influencing factors of thyroid nodule. Conclusion:The prevalence of simple thyroid nodules in Shanghai is relatively low. Age, sex, BMI level, total cholesterol and iodized salt are independent factors causing thyroid nodules. In addition, blood glucose level may also be related to the prevalence of thyroid nodules.