Objective:To investigate the change and clinical significance of serum Cathepsin K (Cathe K), 25 hydroxyvitamin D (25 (OH) D) and matrix gla protein (MGP) in postmenopausal patients with osteoporosis.Methods:Sixty postmenopausal patients with osteoporosis admitted to the hospital from May. 2020 to May. 2023 were selected as the study group, and 75 simple menopausal women were selected to the control group at the same period. Serum Cathe K, 25 (OH) D and MGP levels of the subjects were determined by enzyme-linked immunosorbent assay (ELISA). Bone metabolism indexes [N-terminal propeptide of typeⅠprecollagen (PINP), β isomer of the C-terminal telopep-tide of typeⅠcollagen ( β-CTX), bone alkaline phosphatase, (BALP) and osteocalcin (OC) ] were detected. The levels of Cathe K, 25 (OH) D and MGP and bone metabolism indexes were compared and their correlation was analyzed by Pearson correlation. The predictive value of Cathe K, 25 (OH) D and MGP levels in osteoporosis were analyzed and their effects on osteoporosis were analyzed by multiple Logistic regression. Results:Serum Cathe K in the study group was higher [ (27.27±4.82) μg/L vs. (20.84±4.17) μg/L], 25 (OH) D and MGP were lower [ (25.81±5.33) ng/mL, (7.26±1.53) ng/mL vs. (31.62±5.92) ng/mL, (10.75±2.31) ng/mL] ( t=5.22, P<0.001; t=4.88, P<0.05; t=7.58, P<0.05) ; The bone metabolism indexes PINP, β-CTX and OC in the study group were higher, while BALP was lower; Pearson correlation analysis showed that Cathe K was positively correlated with PINP, β-CTX and OC, and negatively correlated with BALP ( r=0.53, 0.45, 0.61, -0.75, P<0.05) ; 25 (OH) D was negatively correlated with PINP, β-CTX, OC, and positively correlated with BALP ( r=-0.41, -0.63, -0.43, 0.38, P<0.05) ; MGP was positively correlated with PINP, β-CTX and OC, and negatively correlated with BALP ( r=-0.77, -0.59, -0.61, 0.52, P<0.05) ; The area under the curve of serum Cathe K, 25 (OH) D and MGP for predicting osteoporosis were 0.715, 0.694 and 0.789, respectively. Conclusion:The abnormal levels of serum Cathe K, 25 (OH) D and MGP in postmenopausal patients with osteoporosis can be used to predict the occurrence of osteoporosis, and are closely related to the bone metabolism indexes of patients, which can provide a reference for the treatment of patients.

In order to clarify the chemical constituents of Si-Wu Decoction rapidly and holistically, we analyzed the ethanol extract of Si-Wu Decoction by UPLC/Q-TOF-MSE and UNIFI which based on traditional Chinese medicine database, the probable structures of 113 compounds were identified. The results show that this method can rapidly and effectively characterize the chemical compounds of Si-Wu Decoction and provide a new solution for identification of components from complex TCM extract.
Chromatography, High Pressure Liquid ; Databases, Pharmaceutical ; Drugs, Chinese Herbal ; chemistry ; Medicine, Chinese Traditional

OBJECTIVETo detect the expression of protein 4.1 family members in mouse melanoma cell lines and evaluate their effect on cell proliferation.

METHODSPCR and Western blot were used to detected to the expression of protein 4.1 family members (4.1R, 4.1B, 4.1G, and 4.1N) at the mRNA and protein levels in B16 and B16-F10 cell lines. The expression plasmid vector pEGFP-N1-EPB41L3 carrying 4.1B gene sequence amplified from genomic RNA of mouse embryo fibroblasts was constructed and transiently transfected into mouse melanoma cells. The change in cell proliferation was assessed using MTT assay.

RESULTSThe mRNA and protein expressions of all the protein 4.1 family members, with the exception of 4.1B, were detected in both B16 and B16-F10 cells. Transfection of cells with the eukaryotic expression vector pEGFP-N1-EPB41L3 markedly inhibited cell proliferation as compared with the non-transfected cells.

CONCLUSIONThe eukaryotic expression vector carrying EPB41L3 sequence is capable of inhibiting the proliferation of mouse melanoma B16 and B16-F10 cells.

Animals ; Cell Line, Tumor ; Cell Proliferation ; Cytoskeletal Proteins ; metabolism ; Genetic Vectors ; Melanoma, Experimental ; metabolism ; Membrane Proteins ; metabolism ; Mice ; Microfilament Proteins ; Neuropeptides ; metabolism ; Plasmids ; Transfection

OBJECTIVETo construct a cell model of 4.1R gene knockout in murine macrophage cell line RAW264.7 using CRISPR/Cas9 technique.

METHODSThree high?grade small?guide RNAs (sgRNAs) that could specifically identify 4.1R gene were synthesized and inserted into lentiCRISPRv2 plasmid. RAW264.7 cells were infected with sgRNA?Cas9 lentivirus from 293T cells transfected with the recombinant sgRNA?lentiCRISPRv2 plasmid, and the positive cells were screened using puromycin and the monoclonal cells were obtained. The expression of 4.1R protein in the monoclonal cells was measured by Western blotting, and the mutation site was confirmed by sequence analysis. Result A 4.1R gene knockout RAW264.7 cell line was obtained, which showed a 19?bp deletion mutation in the 4.1R gene sequence and obviously enhanced proliferation.

CONCLUSIONWe successfully constructed a 4.1R gene knockout macrophage cell line using CRISPR/Cas9 technique, which may facilitate further investigation of the function of 4.1R in macrophages.

OBJECTIVE: To develop and validate a three-year risk prediction model for new-onset cardiovascular diseases (CVD) among female patients with breast cancer. METHODS: Based on the data from Inner Mongolia Regional Healthcare Information Platform, female breast cancer patients over 18 years old who had received anti-tumor treatments were included. The candidate predictors were selected by Lasso regression after being included according to the results of the multivariate Fine & Gray model. Cox proportional hazard model, Logistic regression model, Fine & Gray model, random forest model, and XGBoost model were trained on the training set, and the model performance was evaluated on the testing set. The discrimination was evaluated by the area under the curve (AUC) of the receiver operator characteristic curve (ROC), and the calibration was evaluated by the calibration curve. RESULTS: A total of 19 325 breast cancer patients were identified, with an average age of (52.76±10.44) years. The median follow-up was 1.18 [interquartile range (IQR): 2.71] years. In the study, 7 856 patients (40.65%) developed CVD within 3 years after the diagnosis of breast cancer. The final selected variables included age at diagnosis of breast cancer, gross domestic product (GDP) of residence, tumor stage, history of hypertension, ischemic heart disease, and cerebrovascular disease, type of surgery, type of chemotherapy and radiotherapy. In terms of model discrimination, when not considering survival time, the AUC of the XGBoost model was significantly higher than that of the random forest model [0.660 (95%CI: 0.644-0.675) vs. 0.608 (95%CI: 0.591-0.624), P < 0.001] and Logistic regression model [0.609 (95%CI: 0.593-0.625), P < 0.001]. The Logistic regression model and the XGBoost model showed better calibration. When considering survival time, Cox proportional hazard model and Fine & Gray model showed no significant difference for AUC [0.600 (95%CI: 0.584-0.616) vs. 0.615 (95%CI: 0.599-0.631), P=0.188], but Fine & Gray model showed better calibration. CONCLUSION It is feasible to develop a risk prediction model for new-onset CVD of breast cancer based on regional medical data in China. When not considering survival time, the XGBoost model and the Logistic regression model both showed better performance; Fine & Gray model showed better performance in consideration of survival time.
Humans ; Female ; Adult ; Middle Aged ; Adolescent ; Breast Neoplasms/epidemiology* ; Cardiovascular Diseases/etiology* ; Proportional Hazards Models ; Logistic Models ; China/epidemiology*

Objective: To investigate the distribution of HIV-1 genetic subtypes and pretreatment drug resistance (PDR) among men who have sex with men (MSM) from 19 cities of 6 provinces in China. Methods: From April to November 2019, 574 plasma samples of ART-naive HIV-1 infected MSM were collected from 19 cities in Hebei, Shandong, Jiangsu, Zhejiang, Fujian, and Guangdong provinces, total ribonucleic acid (RNA) was extracted and amplified the HIV-1 pol gene region by nested polymerase chain reaction (PCR) after reverse transcription. Then sequences were used to construct a phylogenetic tree to determine genetic subtypes and submitted to the Stanford drug resistance database for drug resistance analysis. Results: A total of 479 samples were successfully amplified by PCR. The HIV-1 genetic subtypes included CRF01_AE, CRF07_BC, B, CRF55_01B, CRF59_01B, CRF65_cpx, CRF103_01B, CRF67_01B, CRF68_01B and unrecognized subtype, which accounted for 43.4%, 36.3%, 6.3%, 5.9%, 0.8%, 0.8%, 0.4%, 0.4%, 0.2% and 5.5%, respectively. The distribution of genetic subtypes among provinces is statistically different (χ²=44.141, P<0.001). The overall PDR rate was 4.6% (22/479), the drug resistance rate of non-nucleoside reverse transcriptase inhibitors, nucleoside reverse transcriptase inhibitors, and protease inhibitors were 3.5% (17/479), 0.8% (4/479) and 0.2% (1/479), respectively. The PDR rate of recent infections was significantly higher than that of long-term infections (χ²=4.634, P=0.031). Conclusions: The HIV-1 genetic subtypes among MSM infected with HIV-1 from 19 cities of 6 provinces in China are diverse, and the distribution of subtypes is different among provinces. The overall PDR rate is low, while the PDR rate of recent infections was significantly higher than that of long-term infections, suggesting the surveillance of PDR in recent infections should be strengthened.
China/epidemiology* ; Cities ; Drug Resistance ; Drug Resistance, Viral/genetics* ; Female ; Genotype ; HIV Infections/epidemiology* ; HIV Seropositivity/drug therapy* ; HIV-1/genetics* ; Homosexuality, Male ; Humans ; Male ; Phylogeny ; Reverse Transcriptase Inhibitors/therapeutic use* ; Sexual and Gender Minorities