ABSTRACT
[Objective]To investigate the effect of Baoyuan Jiedu Decoction(BJD)on serum lipids and white adipose tissue browning in cancer cachexia mice.[Methods]The specific pathogen free C57BL/6 mice were divided into normal group,model group,BJD group and megestrol acetate(MA)group.After 21 days of intervention,the changes of body weight,food intake,water consumption and tumor volume of the mice were observed,multidimensional mass spectrometry-based shotgun lipidomics(MDMS-SL)was used to determine the content of serum lipid of mice,white adipose tissue morphology and lipid droplet area were detected by hematoxylin-eosin(HE)staining,the expressions of white adipose tissue browning related genes were detected by Real-time quantitative polymerase chain reaction(Real-time PCR);and the protein expression of uncoupling protein 1(UCP1)was detected by Western blot and immunohistochemistry(IHC)staining.[Results]Compared with model group,the mice in BJD group were generally in good condition,and their food intake,water consumption and weight were increased significantly(P＜0.05),and the volumes of tumors were significantly suppressed(P＜0.05).Compared with normal group,there were 61 kinds of abnormal lipids in the serum of model group,while 30 kinds of lipids were influenced by BJD treatment(P＜0.05).Compared with model group,BJD alleviated the mass loss and lipid droplets(P＜0.05),inhibited the mRNA expression of UCP1,Cidea,Prdm16(P＜0.05)and the protein expression of UCP1(P＜0.05)in epididymal white adipose tissue(eWAT)and inguinal white adipose tissue(iWAT)of cancer cachexia mice.[Conclusion]BJD can inhibit weight loss,relieve the disorder of serum lipid,and inhibit the white adipose tissue browning of iWAT and eWAT of cancer cachexia mice.
ABSTRACT
Objective:To analyze the serum and urinary amino acid (AA) profiles of urolithiasis patients to explore the potential biomarkers for clinical screening and early diagnosis.Methods:Case-control study. Serum and urine samples were collected from 74 urolithiasis patients (aged 20-82 years, 41 men, 33 female) in the department of urology of the First Affiliated Hospital of Fujian Medical University and 35 healthy controls (HC, aged 22-80 years old, 20 men, 15 female) from the health examination center from February 2015 to October 2017. Serum and urinary AA levels of patients and HC were analyzed using Gas Chromatography-Mass Spectrometry (GC-MS) based metabolomic strategy. The multivariate statistical analysis methods of principal component analysis (PCA) and orthogonal partial least squares discrimination analysis (OPLS-DA) were employed for modeling. The variable importance projection (VIP) value of OPLS-DA model>1 and P<0.05 of t test were selected to screen the differential amino acid metabolites. The diagnostic capabilities of potential markers were evaluated by receiver operating characteristic (ROC) curve and binary logistic regression analysis. Results:Five AA metabolites including serine, glutamate, aspartic acid, isoleucine and glycine were found, which had statistically significant differences between the patient group and the control group ( P<0.05) and were associated with seven metabolic pathways. Serum serine, glutamate, aspartic acid, isoleucine and urine glycine and aspartic acid were combined into an integrated marker panel whose AUC value was 0.890, the sensitivity was 78.0%, and the specificity was 96.4%. Conclusion:Five amino acids in serum and urine could be used as an integrated biomarker panel for the clinical screening and early diagnosis of urolithiasis, which could provide some experimental basis for molecular urolithiasis research.