This study aimed to comprehensively evaluate the biological activity in different passage populations of mesenchymal stem cells (BMSCs) derived from bone marrow in ovariectomy osteoporotic rats (named OVX-rBMSCs), providing experimental basis for new osteoporotic drug development and research. OVX-rBMSCs were isolated and cultured in vitro by the whole bone marrow adherent screening method. The morphological observation, cell surface markers (CD29, CD45, CD90) detection, cell proliferation, induced differentiation experimental detection were performed to evaluate the biological activity of Passage 1, 2, 3, 4 populations (P1, P2, P3, P4) OVX-rBMSCs. The results showed that whole bone marrow adherent culture method isolated and differentially subcultured OVX-The morphology of P4 OVX-rBMSCs was identical fibroblast-like and had the characteristics of ultrastructure of stem cells. The CD29 positive cells rate, CD90 positive cells rate, cell proliferation index, and the osteogenic, adipogenic, chondrogenic differentiation capacities of P4 OVX-rBMSCs were significantly better than those of other populations (P < 0.05). OVX-rBMSCs purity and biological activity were gradually optimized with the passaged, and among them P4 cells were superior to all the other populations. Based on these results, we report that the P4 OVX-rBMSCs model developed in this study can be used to develop a new and effective medical method for osteoporotic drug screening.
ObjectiveTo systematically review the effectiveness of traditional morphological embryo screening method and other screening methods. MethodsWe electronically searched PubMed, EMbase, Web of Knowledge, CBM, WanFang Data and CNKI, for studies about the effectiveness of traditional morphological embryo screening method and other screening methods from inception to July 1st, 2013. Two reviewers independently screened studies according to the inclusion and exclusion criteria, extracted data and evaluated the methodological quality of the included studies. Then meta-analysis was performed using the software RevMan 5.1. ResultsA total of 4 studies involving 951 patients were included. The results of meta-analysis showed that, for the traditional morphological embryo screening method, when compared with the NIR method and CCS method, there were no significant differences in clinical pregnancy rate (OR=0.94, 95%CI 0.57 to 1.53, P=0.80) and live birth rate (OR=0.90, 95%CI 0.60 to 1.37, P=0.63). However, significant difference was found for the embryos fragment rate (OR=0.40, 95%CI 0.27 to 0.59, P < 0.000 01). ConclusionThe current evidence shows that, compared with other methods, the traditional morphological embryo screening method could significantly reduce the embryos fragments rate. The results are needed to be further validate by more high-quality and large-scale studies.
ObjectiveTo evaluate the reporting quality of systematic reviews (SRs)/meta-analyses on acupuncture focusing on literature screening results and explore the influencing factors of the complete reporting.MethodsPubMed, EMbase, CNKI, WanFang Data, and VIP databases were searched to collect SRs/meta-analyses on acupuncture from inception to December 31st, 2019. Two reviewers independently screened literature, extracted data and evaluated the reporting quality of literature screening results of SRs/meta-analyses on acupuncture based on PRISMA statement. Logistic regression model analysis was applied to explore the influencing factors of the complete reporting rate of literature screening results. Statistical analysis was performed by using Excel 2016 and SPSS 16.0 software.ResultsA total of 1 227 SRs/meta-analyses were included. Only 62.3% SRs fully reported the four parts of literature screening results. The parts with a low reporting rate included the number of studies assessed for eligibility (73.2%) and the reasons for exclusions at each stage (67.0%). And the reporting rate of the literature screening flowchart was also low (63.6%). The reporting rate of literature screening results in Chinese SRs was lower than that in English SRs, and there was significantly statistical difference (P<0.001). Multivariate logistic regression analysis showed that the type of published journal, publication year, pages of article and the number of searched databases were correlated with the complete reporting rate of literature screening results (P<0.001).ConclusionsThe complete reporting rate of the literature screening results of SRs on acupuncture is low, especially in Chinese SRs. The complete reporting rate of literature screening results is significantly higher for SRs published after PRISMA statement, in SCI journals, with longer length and more searched databases.
Place cell with location tuning characteristics play an important role in brain spatial cognition and navigation, but there is relatively little research on place cell screening and its influencing factors. Taking pigeons as model animals, the screening process of pigeon place cell was given by using the spike signal in pigeon hippocampus under free activity. The effects of grid number and filter kernel size on the place field of place cells during the screening process were analyzed. The results from the real and simulation data showed that the proposed place cell screening method presented in this study could effectively screen out place cell, and the research found that the size of place field was basically inversely proportional to the number of grids divided, and was basically proportional to the size of Gaussian filter kernel in the overall trend. This result will not only help to determine the appropriate parameters in the place cell screening process, but also promote the research on the neural mechanism of spatial cognition and navigation of birds such as pigeons.
The pGenesil-1-Beclin1 eukaryotic expression vectors were constructed to establish an SH-SY5Y cell line stably expressing shRNA-Beclin1. The shRNA was connected to pGenesil-1 to construct the recombinant plasmid pGenesil-1-Beclin1, which was transformed into JM109 E.coli. Positive clones were identified by digestion with restriction endonuclease and DNA sequencing. SH-SY5Y cells were cultured by the conventional method. The pGenesil-1-Beclin1 and pGenesil-1 plasmids were transfected into SH-SY5Ycells, and the cells were screened by G418 until the stable G418-resistant monoclonal cells were acquired. Beclin1 mRNA and Beclin1 protein were detected by RT-PCR and Western blot analysis respectively. The results of restriction endonuclease analysis and DNA sequencing confirmed the correct construction of the eukaryotic expression vector pGenesil-1-Beclin1. Two SH-SY5Y transfected cell lines were successfully selected. Compared with the control group, RT-PCR and Western blot showed that the expression of Beclin1 mRNA and protein were down regulated 71.28%±1.45%(P<0.05)and 75.50%±2.63%(P<0.05), respectively. The results indicated that the eukaryotic expression vector pGenesil-1-Beclin1 was successfully constructed and the SH-SY5Y cell lines with inhibited Beclin1 expression were established. It provides a useful cell model for studying the biological function of Beclin1.
ObjectiveTo explore the selection problem of independent variables and stepwise regression method for multiple logistic regression analysis. MethodsAccording to the data of the case-control investigation for coronary heart disease, age (X1), hypertension history (X2), hypertension family history (X3), smoking (X4), hyperlipidemia history (X5), animal fat intake (X6), weight index (X7), type A personality (X8), and coronary heart disease (CHD, Y) were analyzed by SPSS 18.0 software. The multiple logistic regression analysis was done and the differences of risk factors were compared among 6 kinds stepwise regression variable selection method. ResultsThe univariate analysis showed that no difference was found between CHD group and non-CHD group in age distribution (P=0.116). But the multivariate logistic regression analysis showed that, comparing to population over 65 years old, age was a protective factor on the low age groups (OR< 45=0.100, 0.000 to 0.484, P=0.020; OR45-54=0.051, 0.003 to 0.975, P=0.048). If the age was defined as categorical variable, the risk factors for coronary heart disease were animal fat intake (X6), type A personality (X8), hypertension history (X5) and age (X1), respectively (P < 0.05). If the age was defined as a continuous variable, the effect of age (X1) was not statistically significant (P=0.053). The common risk factors were intake of animal fat (X6) and type a personality (X8) by six kinds method of stepwise variable selection. In addition, the risk factor also included hyperlipidemia history (X5) (forward-condition, forward-LR, forward-wald), hypertension family history (X3), age (X1) (backward-condition, backward-LR) and hypertension history (X2) (backward-wald). ConclusionStepwise regression method should be used to analyze all the variables, including no statistically significant independent variables in univariate analysis. If the categorical variable is regarded as continuous variables, some information may be lost, and even the risk factors may be missed. When the risk factors are not the same by several stepwise regression variable selection method, it should be combined with clinical and epidemiological significance, as well as biological mechanisms and other professional knowledge.
ObjectiveTo summarize the clinical application and future application prospects of organoid model in pancreatic cancer. MethodThe domestic and foreign literature related on the application of organoid model in pancreatic cancer was reviewed. ResultsIn recent years, the organoid model of pancreatic cancer was constructed mainly using patient-derived tissues, fine-needle aspiration samples, and human pluripotent stem cells. The biomarkers of pancreatic cancer were screened according to the histological and structural heterogeneities of the primary tumor retained in organoid model, such as microRNA, glypican-1, annexin A6 and protein biomarkers cytokeratin 7 and 20, cell tumor antigen p53, Claudin-4, carbohydrate antigen 19-9, etc.in the extracellular vesicles. The results of organoid model could maintain the original tumor characteristics and the higher correlation between the organoid model drug sensitivity data and the clinical results of pancreatic cancer patients suggested that, the drug sensitivity data of organoid model could be used to avoid ineffective chemotherapy, so as to improve the treatment response rate and reduce the toxicity of chemical drug treatment, and reasonably select individualized treatment plans for pancreatic cancer patients in future. ConclusionsOrganoid model has many research in screening biomarkers of pancreatic cancer, individualized drug screening, and drug sensitivity test. It can simulate the complex pathophysiological characteristics of pancreatic cancer in vitro, and retain the physiological characteristics and gene phenotype of original tumor cells. It is expected to become a new platform for selecting biomarkers of pancreatic cancer, testing drug sensitivity, and formulating individualized treatment methods for pancreatic cancer, which might further accelerate the research progress of pancreatic cancer.
Systematic reviews (SRs) serve as a core methodology in evidence-based medicine (EBM), providing critical evidence for clinical practice and health decision-making. However, the manual screening of titles and abstracts in SRs is labor-intensive and time-consuming, becoming a major bottleneck in research efficiency. Recent advancements in artificial intelligence (AI), particularly large language models (LLMs), have introduced new opportunities and transformations in this field. This article provided an overview of the current status of intelligent screening for titles and abstracts in systematic reviews, with a focus on the application and effectiveness of LLMs. It aims to provide recommendations for users and developers, facilitating the better integration of automation algorithms into the SR process.