Mathematical modeling of cell growth in a 3D scaffold and validation of static and dynamic cultures

Tissue engineering, an immensely important field in contemporary clinical practices, aims at the repair or replacement of damaged tissues. The mathematical model proposed herein shows the distribution and growth of cells in their characteristic time in a 3D scaffold model. This study contributes to the progress of simulation techniques in static and dynamic cultures of bone tissue. Brinkman, nutrient transport, and cell growth equations are brought together to quantify the growth behavior of cells. However, when a static culture is being studied, the Brinkman equation is eliminated. The model was validated by experimental cell culture using 3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyltetrazolium bromide assay and scanning electron microscopy. Then, static and dynamic cultures were compared to assess the cell density and cell distribution in the scaffold. Cell counting after 21 days of cell culture showed that the number of cells increased 42‐fold in static and 53.5‐fold in dynamic cultures, which was in good agreement with our model estimations (37‐fold increase in the number of cells in static and 49‐fold increase in dynamic cultures). In conclusion, our mathematical model could predict cell distribution and growth in the scaffold.     

Association of TNF-308 G>A polymorphism located in tumor necrosis factor a with the risk of developing cervical cancer and results of pap smear

Tumor necrosis factor a (TNFa) is an inflammatory cytokine that plays a crucial role in the immune response and the progression of cervical lesions. There is a growing body of data evaluating the value of a genetic variant in the TNFa gene with the risk of developing cervical cancer. The aim of this study was to explore the association of a variant, TNF-308 G>A, residing in the TNFa gene with cervical cancer. A total of 91 women with cervical cancer and 161 women as the control group were recruited. DNA was extracted, and Taqman®-probes-based assay was used for genotyping. Our results showed that the minor allele frequency was 0.3 in total population, and the frequency of minor allele A was more in the case group compared with the control. The regression models in different genetic models also revealed that the allele A is a potential risk factor for the development of cervical cancer. In particular, in the dominant model, patients with AG and AA genotypes had a higher risk of developing cervical cancer with odds ratio (OR) of 2.75 (95% confidence interval [CI]: 1.57-4.83, <0.001) and OR of 7.27 (95%CI: 2.5-20.8, <0.001), compared with the GG genotype. Moreover, a similar outcome was obtained for smear test results. Our study demonstrated that TNF-308 G>A located on TNF-a was associated with the risk of cervical cancer, supporting further studies in a larger population and multicenter setting to show the value of emerging markers as risk stratification biomarkers in cervical cancer.     

Genetic Determinants of the Network of Primary Metabolism and Their Relationships to Plant Performance in a Maize Recombinant Inbred Line Population

Deciphering the influence of genetics on primary metabolism in plants will provide insights useful for genetic improvement and enhance our fundamental understanding of plant growth and development. Although maize (Zea mays) is a major crop for food and feed worldwide, the genetic architecture of its primary metabolism is largely unknown. Here, we use high-density linkage mapping to dissect large-scale metabolic traits measured in three different tissues (leaf at seedling stage, leaf at reproductive stage, and kernel at 15 d after pollination [DAP]) of a maize recombinant inbred line population. We identify 297 quantitative trait loci (QTLs) with moderate (86.2% of the mapped QTL, R² = 2.4 to 15%) to major effects (13.8% of the mapped QTL, R² >15%) for 79 primary metabolites across three tissues. Pairwise epistatic interactions between these identified loci are detected for more than 25.9% metabolites explaining 6.6% of the phenotypic variance on average (ranging between 1.7 and 16.6%), which implies that epistasis may play an important role for some metabolites. Key candidate genes are highlighted and mapped to carbohydrate metabolism, the tricarboxylic acid cycle, and several important amino acid biosynthetic and catabolic pathways, with two of them being further validated using candidate gene association and expression profiling analysis. Our results reveal a metabolite-metabolite-agronomic trait network that, together with the genetic determinants of maize primary metabolism identified herein, promotes efficient utilization of metabolites in maize improvement.     

Delivery of molecular cargoes in normal and cancer cell lines using non-viral delivery systems

Objective

In this study, transfection efficiency of human papillomavirus (HPV) E7 DNA and protein constructs into HEK-293T normal cell line, and A549 and TC-1 tumor cell lines was evaluated by four delivery systems including supercharge GFP, hPP10 cell penetrating peptide, TurboFect and Lipofectamine using fluorescence microscopy and flow cytometry.

Results

The results indicated that Lipofectamine 2000 and TurboFect produced more effective transfection for GFP and E7-GFP DNA constructs in HEK-293T cells compared to in A549 and TC-1 cells (p?<?0.05). In contrast, the supercharge GFP was efficient for E7 DNA and E7 protein delivery in both normal cell (~?83.94 and ~?77.01% for HEK-293T), and cancer cells (~?71.69 and ~?67.19% for TC-1, and ~?73.86 and ~?67.49% for A549), respectively. Indeed, in these cell lines, transfection efficiency by +36 GFP reached ~?60–80%. Moreover, the hPP10 produced the best transfection result for E7-GFP protein in HEK-293T cells (~?63.66%) compared to TurboFect (~?32.95%); however, the efficiency level of hPP10 was only ~?17.51 and ~?16.36% in TC-1 and A549 cells.

Conclusions

Our data suggested that the supercharge GFP is the most suitable transfection vehicle for DNA and protein delivery into TC-1 and A549 tumor cell lines compared to other carriers.

     

The stability evaluation of mesenchymal stem cells differentiation toward endothelial cells by chemical and mechanical stimulation

Adipose-derived mesenchymal stem cells (ADSCs) are adult multipotent cells able to differentiate into several cell lineages. Vascular endothelial growth factor (VEGF) and the shear stress associated with blood flow are considered as the most important chemical and mechanical cues that play major roles in endothelial differentiation. However, the stability of endothelial-specific gene expression has not been completely addressed yet. ADSCs in passage 3 were cultured inside the tubular silicon tubes and then exposed to VEGF or shear stress produced in a perfusion bioreactor. To investigate the differentiation, the expression levels of Flk-1, von Willebrand factor (vWF), and vascular endothelial-cadherin (VE-cadherin) were studied using Real-Time PCR. For studying the endothelial differentiation stability, mRNA levels of the genes were evaluated in certain time intervals after completion of the tests so as to determine whether the expression level of each gene in different time points was stable and remained constant or not. Application of VEGF and shear stress caused an elevation in endothelial cells’ specific genes. Although there are some changes following the days after application of mechanical and chemical stimuli, the gene expression results depicted significantly higher gene expression between sequential chemically and mechanically incited groups. In conclusion, stress alone can be a differentiating factor, by itself. Our results verified the efficient stable differentiation ability of the chemical and mechanical factors.     

Invasive aspergillosis promotes tumor growth and severity in a tumor-bearing mouse model

Invasive aspergillosis increases in chronic immunosuppressive diseases such as cancer. There is little information about the mechanisms by which Aspergillus infection affects the immune regulation and microenvironment of cancer cells. Hence, this study was aimed at investigating the effect of invasive aspergillosis on immunosurveillance, metastasis, and prognosis of cancer in tumor-bearing mice. After implantation of mouse mammary tumor in BALB/c mice, they were infected with Aspergillus conidia intravenously. For comparison, groups of mice were experimentally infected with Aspergillus conidia or implanted with tumor cells separately. Seven days after Aspergillus infection, the serum levels of tissue inhibitor of metalloproteinase-1 (TIMP-1) were measured by ELISA, and subsequently regulatory T lymphocytes were analyzed by flow cytometry. The survival of animals and mean tumor size were then determined. Our results indicated that tumor sizes in mice increased significantly after infection with Aspergillus conidia. Moreover, invasive aspergillosis enhanced the population of regulatory lymphocytes and level of TIMP-1. This study supports the idea that massive Aspergillus infection could stimulate tumor growth and increases the possibility of a bad prognosis. As a result, treatment of Aspergillus infection could be considered an important issue for efficient cancer therapy.     

Comparing the Effect of Uniaxial Cyclic Mechanical Stimulation and Chemical Factors on Myogenin and Myh2 Expression in Mouse Embryonic and Bone Marrow Derived Mesenchymal Stem Cells

Background: Environmental factors affect stem cell differentiation. In addition to chemical factors, mechanical signals have been suggested to enhance myogenic differentiation of stem cells. Therefore, this study was undertaken to illustrate and compare the effect of chemical and mechanical stimuli on Myogenin (MyoG) and Myosin heavy chani 2 (Myh2) expression of mouse bone marrowderived mesenchymal stem cells (BMSCs) and embryonic stem cells (ESCs). Methods: After isolation and expansion of BMSCs and generation of embryoid bodies and spontaneous differentiation of ESCs, cells were examined in 4 groups: (1) control group: untreated cells; (2) chemical group: cells incubated in myogenic medium (5-azacythidine and horse serum for BMSCs, dimethyl sulfoxide (DMSO) and horse serum for ESCs) for 5 days; (3) mechanical group: cells exposed to uniaxial cyclic strain (8%, 1 Hz, 24 h) and (4) chemical + mechanical group: cells incubated in myogenic medium for 4 days and then exposed to uniaxial cyclic strain. Real-time PCR was used to examine the expression of MyoG and Myh2 as specific myogenic markers. Results: suggested that mechanical loading, as a single factor, could elevate MyoG and Myh2 expression. Combining chemical with mechanical factor increases expression and there was no significant difference in MyoG expression of ESCs- and MSCs-chemical + mechanical groups; however, Myh2 expression was significantly higher in ESCs-mechanical group than that in the same group of MSCs.     

Modelling the Time Evolution of Active Caspase-3 Protein in the Rat Lens after In Vivo Exposure to Ultraviolet Radiation-B

Purpose

To introduce a model for the time evolution of active caspase-3 protein expression in albino rat lens up to 24 hours after in vivo exposure to low dose UVR in the 300 nm wavelength region (UVR-300 nm).

Methods

Forty Sprague-Dawley rats were unilaterally exposed in vivo to 1 kJ/m² UVR-300 nm for 15 minutes. At 0.5, 8, 16, and 24 hours after the UVR exposure, the exposed and contralateral not-exposed lenses were removed and processed for immunohistochemistry. The differences in the probability of active caspase-3 expression at four different time points after exposure were used to determine the time evolution of active caspase-3 expression. A logistic model was introduced for the expression of active caspase-3. The parameters for the exposed and the not exposed lenses were estimated for the observation time points.

Results

The exposure to UVR-300 nm impacted on the parameters of the logistic model. Further, the parameters of the model varied with time after exposure to UVR-300 nm.

Conclusion

The logistic model predicts the impact of exposure to UVR-300 nm on the spatial distribution of probability of active caspase-3 protein expression, depending on time.