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Bilirubin has good anti-inflammatory， antioxidant and immunomodulatory effects， but its poor water solubility and low bioavailability greatly limit its clinical application. Researchers have developed bilirubin into various nanoparticles， which effectively eliminate the limitation of low solubility of bilirubin with the advantage of dosage form， so that they can maximize its pharmacological activities such as anti-inflammatory， anti-oxidation and immune regulation. Bilirubin nanoparticles have great application potential in a variety of gastrointestinal diseases， liver and kidney diseases， skin diseases， autoimmune diseases， islet transplantation and targeted therapy of tumors （both as a direct anti-tumor drug and as a drug delivery system）. The study of bilirubin nanoparticles will promote the clinical application of bilirubin and the development of related new drugs.
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Background There is a lack of evidence on whether exposure to PM2.5 and its constituents would affect the relationship between the dietary approaches to stop hypertension (DASH) and central obesity. Objective To investigate the effect of exposure to PM2.5 and its constituents on the correlation between the DASH dietary pattern and the prevalence of central obesity. Methods The data were obtained from the baseline survey of the "Xinjiang Multi-Ethnic Natural Population Cohort Construction and Health Follow-Up Study" in Urumqi. A DASH score was calculated according to intake frequency of 8 food groups, and summed from intake frequency of recommended food groups scored from 1 to 5 from low to high, and intake frequency of restricted food groups scored from 1 to 5 from high to low. A higher DASH score indicates better compliance with the DASH dietary pattern. We estimated exposure using satellite-derived PM2.5 and a chemical transport model (GEOS-Chem) for its constituents, including organic carbon (OC), black carbon (BC), sulfate (SO42−), nitrate (NO3−), ammonium (NH4+), and soil dust. Central obesity was defined by waist circumference: ≥90 cm for men or ≥85 cm for women according to Criteria of weight for adults (WS/T 428—2013). A logistic regression model was used to analyze the effects of the DASH dietary pattern as well as PM2.5 and its constituents on central obesity, and a stratified analysis was used to explore the effects of PM2.5 and its constituents on the association between the DASH dietary pattern and central obesity. Results The study included 9 565 urban residents, aged (62.30±9.42) years, with a central obesity prevalence rate of 60.75%. After adjusting for selected confounders, the DASH score Q5 group had a 17.5% lower risk of central obesity than the Q1 group (OR=0.825, 95%CI: 0.720-0.947). PM2.5 and its constituents OC, BC, SO42−, NH4+, and soil dust were positively associated with the prevalence of central obesity, but no association was observed between constituent NO3− exposure and central obesity. The stratified analysis revealed that the prevalence of central obesity was reduced in the DASH score Q5 group in participants exposed to low concentrations of PM2.5 and its constituents NO3−, NH4+, and soil dust, while the protective effect of the DASH pattern on central obesity disappeared in subjects exposed to high concentrations of PM2.5 and its constituents NO3−, NH4+, and soil dust. Conclusion Exposure to PM2.5 and its constituents NO3−, NH4+, and soil dust could attenuate the protective effect of the DASH pattern on central obesity.
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Objective@#To analyze the expression and clinical significance of solute carrier family 5 member 5 (SLC5A5), the coding gene of sodium/iodide symporter (NIS), in thyroid carcinoma.@*Methods@#The messenger RNA (mRNA) expression of SLC5A5 in thyroid carcinoma and normal thyroid tissues from The Cancer Genome Atlas (TCGA) was compared using independent-sample t test and results were shown in one scatter plot. The relation between clinical features of thyroid carcinoma and the changes of SLC5A5 mRNA was analyzed on LinkedOmics using Kruskal-Wallis test or Wilcoxon test.@*Results@#Data from TCGA showed that the SLC5A5 mRNA expression in thyroid carcinoma (1.419±0.049) was significantly reduced compared with that in normal thyroid tissues (3.301±0.087; t=12.66, P<0.01). The expression of SLC5A5 mRNA in thyroid carcinoma is affected by ethnicity (χ2=0.300, P<0.05). Moreover, the expression of SLC5A5 mRNA were decreased with the increase of pathologic grading (Ⅰ, Ⅱ, Ⅲ, Ⅳ) and T, N, M stages (χ2 values: 0.114, 0.215, z values: -0.345, -0.102, all P<0.05).@*Conclusions@#The expression level of SLC5A5 mRNA is associated with clinical characteristic of thyroid carcinoma. SLC5A5 mRNA has the potential to become one candidate biomarker to assess disease and predict the development of thyroid carcinoma.
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Objective To develop a diagnostic model based on deep neural network for intelligent discrimination of thyroid function. Methods A total of 1616 patients ( 283 males, 1333 females, average age:52 years) who underwent thyroid imaging between May 2016 and June 2018 were selected. According to the clinical diagnosis, the 1616 cases included 299 normal thyroid cases, 876 hyperthyroidism cases and 441 hypothyroidism cases. Feature extraction and learning training were performed on 1000 training set sam-ples by two deep neural network models ( AlexNet;deep convolution generative adversarial networks ( DCGAN) ) using deep learning algorithm. Performance verifications were implemented on 616 test set samples. The con-sistency between the verification results of the two models and the clinical diagnosis was analyzed by Kappa test. Meanwhile, the time advantage of the intelligent diagnosis models was analyzed. Results The average diagnostic time of AlexNet model was 1 s/case, and the classification accuracy for normal thyroid, hyperthy-roidism, hypothyroidism were 82.29％(79/96), 94.62％(369/390), 100％(130/130), respectively. The Kappa value between results of AlexNet model and clinical diagnosis was 0.886 ( P<0.05) . The average di-agnostic time of DCGAN model was 1 s/case, and the classification accuracy for normal thyroid, hyperthy-roidism, hypothyroidism were 85.42％(82/96), 95.64％(373/390), 99.23％(129/130), respectively. The Kappa value between results of DCGAN model and clinical diagnosis was 0.904 ( P<0.05) . Conclusion The deep neural network intelligent diagnosis model can quickly determine the functional status of thyroid gland in thyroid imaging, and it has a high recognition accuracy, thus providing a new method for thyroid image review.
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Objective To study the risk factors for progressive cardiogenic stroke (CS).Methods Seventy-one acute ischemic stroke patients admitted to our hospital from 2008-08-01 to 2014-12-31 were divided into progressive CS group (n=14) and non-progressive CS group (n=57).The NIHSS was used to assess the neurologic deficit when the patients were admitted and 30 days after the stroke onset.Their clinical data were retrospectively analyzed.The risk factors for progressive CS were analyzed by univariate logistic regression analysis and multivariate logistic regression analysis respectively,their critical thresholds were analyzed according to the ROC curve.Results The NIHSS improvent of the progressive CS group was significantly less than that of the non-progressive CS group (P＜0.01).The age was significantly older,the incidence of right-side infarction and the serum level of D-dimer were significantly higher while the serum level of glutamic pyruvic transaminase was significantly lower in progressive CS group than in non-progressive CS group (77.29±8.87 years vs 71.44±9.51 years,P=0.041;71.4％ vs 33.3％,P=0.009;2.82 mg/L vs 0.91 mg/L,P=0.048;13.79±4.44 U/L vs 21.98±17.34 U/L,P=0.002).Lo gistic regression analysis showed a significant difference in age,right-side infarction and serum D-dimer level between the two groups (P=0.030,P=0.007,P=0.025).The area under the ROC curve revealed that age ＞ 70.75 years and serum D-dimer level ＞1.23 mg/L were the risk factors for progressive CS.Conclusion Age,right-side infarction and serum D-dimer level are the risk factors for progressive CS and can thus be used as predictors of progressive CS.
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Objective To explore the effects of patient participation-based dietary intervention on nutritional status for patients with gastrectomy.Methods Fifty-two patients with gastrectomy were randomly assigned to the intervention group(n=26) and the control group(n=26).All patients were given general dietary guidance,and patients in the intervention group were provided patient participation-based dietary intervention(PPDI) as well.Height,body weight and body mass index(BMI) were recorded at baseline,2 weeks and 12 weeks after intervention,using PatientGenerated Subjective Global Assessment(PG-SGA),Diet-Related Symptom Scale,Adherence to Dietary Scale and a 3-day food diary.Results There was no obvious change in body weight and BMI before and after 12-week intervention,while outcomes in the control group gradually decreased.For time effect,there was significant difference in PG-SGA between two groups(P＜0.05).For between-group effect,there were significant differences in diet-related symptoms(P＜0.05),dietary intake(P＜0.05) and adherence to dietary(P＜0.05) between two groups.Conclusion Patient participation-based dietary intervention can improve nutritional status for patients with gastrectomy.
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Objective To explore the effect of Periplaneta americana reversing multiple drug resistance (MDR) of hepatocellular carcinoma in vitro. Methods Drug resistance of Hepatocellular carcinoma cell line HepG2/ADM was established by Adriamycin ( ADM ) increasing concentration gradient method;determined cell growth curve, doubling time change using Trypan blue staining method;detected sensitivity of 4 kinds of chemotherapeutic drugs of HepG2 and HepG2/ADM by methyl thiazolyl tetrazolium method; detected the non toxic dose of Periplaneta americana CⅡ-3 and the skim cream of HepG2/ADM by MTT method; detected the inhibition rate differences of CⅡ-3, skim cream, ADM, CⅡ-3 and ADM, skim cream and ADM of hepatocellular carcinoma drug resistance cell line HepG2/ADM by MTT method.Results Drug-resistant cell line doubling time was extended obviously compared with parent cells,HepG2/ADM showed resistance to variety of chemotherapeutic drugs, ADM resistant index was especially high,that was 15.25 times.When the concentration of CⅡ-3 and skim cream were 28.76 and 45.08μg/mL respectively, the growth inhibition rate of HepG2 and HepG2/ADM two cell lines were<10%,no obvious toxic effect.The inhibition rate of the drug-resistant cell of 7.5,15,30μg/mL concentration CⅡ-3 joint with ADM concentration (1/2 IC50 ) were (24.52 ±2.05)%,( 34.78 ±3.08)%,( 45.09 ±3.56)% respectively; The inhibition rate of the drug-resistant cell of 12.5,25,50μg/mL concentration skimmed cream joint with ADM concentration (1/2 IC50 ) were (19.28 ±2.56)%,(35.08 ±2.13)%,(43.85 ±3.05)%respectively.Conclusion The cell line HepG2/ADM established has basic multidrug-resistant biological characteristics.Periplaneta americana extract can inhibit the growth of HepG2/ADM,and has good effect to reverse drug resistance at the same time.