Modeling and prediction of cytotoxicity of artemisinin for treatment of the breast cancer by using artificial neural networks

The prevalence of depressive symptoms and associated factors in middle-aged and elderly Chinese people

BACKGROUND

This study aimed to evaluate the prevalence of depressive symptoms and associated factors in middle-aged and elderly people in China.

METHODS

Data were obtained from the China Family Panel Studies (CFPS) 2018. We selected 16,767 respondents over the age of 45 as samples for research and analysis. A short version of the Center for Epidemiological Research Depression Scale (CES-D) was used to assess depressive symptoms. Chi-square test and multiple logistic regression analysis were used to explore the related factors of depressive symptoms. Back Propagation neural network model was established to examine the ranking of influencing factors of depressive symptoms.

RESULTS

There was 24.1% prevalence of depressive symptoms among the respondents. The 14 important variables affecting depressive symptoms were screened out with the multivariable logistic regression. Based on the BP neural network to rank the degree of importance, the top five important variables were determined, which were subjective well-being (100.0%), self-reported health (92.0%), life satisfaction (83.4%), ADL disability (74.0%), and marital status (69.7%).

LIMITATIONS

This study was a cross-sectional study, and causality cannot be determined.

CONCLUSIONS

The prevalence of depressive symptoms in middle-aged and elderly Chinese people was high. Subjective quality of life evaluation, health condition and marital status were important factors that have an impact on depressive symptoms.

1,2,3-Triazole tethered 1,2,4‑trioxane trimer induces apoptosis in metastatic cancer cells and inhibits their proliferation, migration and invasion

Artemisinin (ART) has been in use against different cancer cells and its derivatives and conjugates are more cytotoxic to iron-rich cancer cells. It is desirable to develop easily achievable synthetic 1,2,4-trioxanes having the same pharmacophore as that of ART. To explore more efficient compounds, a 1,2,3-triazole tethered 1,2,4‑trioxane trimer (4T) was synthesized and the anti-cancer effects of ART and 4T on MDA-MB-435 and MDA-MB-231 cells were investigated concerning regulation of osteopontin (OPN) expression, which is associated with cancer progression and malignancy. ¹H NMR and ¹³C NMR, oxidative stress analysis, flow cytometry, western blot, Real-Time PCR, transfections, luciferase assay, cell viability, proliferation, migration and chemotactic invasion assays were used in this study. It was observed that the 4T induced apoptosis by inhibiting Bcl-2 (~0.6-fold) and cleavage of caspase-3 (intrinsic pathway) in these metastatic cancer cells, and also reduced colony formation, migration and invasion of these cancer cells. The treatment of 4T decreased the reduced glutathione level and increased the activities of glucose-6-phosphate dehydrogenase and glutathione reductase in the 4T treated cancer cells as compared to their respective controls. Further, the expression of OPN was diminished (~0.5-fold) by the 4T in these cell lines. It was also observed that the key mitogen-activated protein kinase pathway proteins, mitogen-activated protein kinase kinase1/2 (~1.8-fold) and extracellular signal-regulated kinase1/2 (~16-fold), were also activated following the treatment of the 4T. However, the phosphorylated c-Jun level, a component of activator protein-1, was significantly reduced in these cancer cells upon 4T treatment. Taken together, we hypothesize that 4T may be useful for controlling cancer progression and malignancy.

Transcriptome analysis of genes associated with breast cancer cell motility in response to Artemisinin treatment

Background

Well-known anti-malarial drug artemisinin exhibits potent anti-cancerous activities. In-vivo and in-vitro studies showed its anti-tumor and immunomodulatory properties signifying it as a potent drug candidate for study. The studies of mechanisms of cell movement are relevant which can be understood by knowing the involvement of genes in an effect of a drug. Although cytotoxicity and anti-proliferative activity of artemisinin is evident, the genes participating in its anti-migratory and reduced invasive effect are not well studied. The present study reports the alteration in the expression of 84 genes involved in cell motility upon artemisinin treatment in MCF-7 breast cancer cells using pathway focused gene expression PCR array. In addition, the effect of artemisinin on epigenetic modifier HDACs is studied.

Methods

We checked the functional stimulus of artemisinin on cell viability, migration, invasion and apoptosis in breast cancerous cell lines. Using qRT-PCR and western blot, we validated the altered expression of relevant genes associated with proliferation, migration, invasion, apoptosis and mammary gland development.

Results

Artemisinin inhibited cell proliferation of estrogen receptor negative breast cancer cells with fewer efficacies in comparison to estrogen receptor positive ones. At the same time, cell viability and proliferation of normal breast epithelial MCF10A cells was un-affected. Artemisinin strongly inhibited cancer cell migration and invasion. Along with orphan nuclear receptors (ERRα, ERRβ and ERRγ), artemisinin altered the ERα/ERβ/PR/Her expression status of MCF-7 cells. The expression of genes involved in the signaling pathways associated with proliferation, migration, invasion and apoptosis was significantly altered which cooperatively resulted into reduced growth promoting activities of breast cancer cells. Interestingly, artemisinin exhibited inhibitory effect on histone deacetylases (HDACs).

Conclusions

Upregulated expression of tumor suppressor genes along with reduced expression of oncogenes significantly associated with growth stimulating signaling pathways in response to artemisinin treatment suggests its efficacy as an effective drug in breast cancer treatment.

Correlations of Complete Blood Count with Alanine and Aspartate Transaminase in Chinese Subjects and Prediction Based on Back-Propagation Artificial Neural Network (BP-ANN)

BACKGROUND The complete blood count (CBC) is the most common examination used to monitor overall health in clinical practice. Whether there is a relationship between CBC indexes and alanine transaminase (ALT) and aspartate aminotransferase (AST) has been unclear. MATERIAL AND METHODS In this study, 572 normal-weight and 346 overweight Chinese subjects were recruited. The relationship between CBC indexes with ALT and AST were analyzed by Pearson and Spearman correlations according to their sex, then we conducted colinearity diagnostics and multiple linear regression (MLR) analysis. A prediction model was developed by a back-propagation artificial neural network (BP-ANN). RESULTS ALT was related to 4 CBC indexes in the male normal-weight group and 3 CBC indexes in the female group. In the overweight group, ALT had a similar relationship with the normal group, but there was only 1 index related with AST in the normal-weight group and male overweight groups. The ALT regression models were developed in normal-weight and overweight people, which had better correlation coefficient (R>0.3). After training 1000 epochs, the BP-ANN models of ALT achieved higher correlations than MLR models in normal-weight and overweight people. CONCLUSIONS ALT is a more suitable index than AST for developing a regression model. ALT can be predicted by CBC indexes in normal-weight and overweight individuals based on a BP-ANN model, which was better than MLR analysis.

Assessment of triglyceride and cholesterol in overweight people based on multiple linear regression and artificial intelligence model

Background

The prevalence of high hyperlipemia is increasing around the world. Our aims are to analyze the relationship of triglyceride (TG) and cholesterol (TC) with indexes of liver function and kidney function, and to develop a prediction model of TG, TC in overweight people.

Methods

A total of 302 adult healthy subjects and 273 overweight subjects were enrolled in this study. The levels of fasting indexes of TG (fs-TG), TC (fs-TC), blood glucose, liver function, and kidney function were measured and analyzed by correlation analysis and multiple linear regression (MRL). The back propagation artificial neural network (BP-ANN) was applied to develop prediction models of fs-TG and fs-TC.

Results

The results showed there was significant difference in biochemical indexes between healthy people and overweight people. The correlation analysis showed fs-TG was related to weight, height, blood glucose, and indexes of liver and kidney function; while fs-TC was correlated with age, indexes of liver function (P < 0.01). The MRL analysis indicated regression equations of fs-TG and fs-TC both had statistic significant (P < 0.01) when included independent indexes. The BP-ANN model of fs-TG reached training goal at 59 epoch, while fs-TC model achieved high prediction accuracy after training 1000 epoch.

Conclusions

In conclusions, there was high relationship of fs-TG and fs-TC with weight, height, age, blood glucose, indexes of liver function and kidney function. Based on related variables, the indexes of fs-TG and fs-TC can be predicted by BP-ANN models in overweight people.

Electronic supplementary material

The online version of this article (doi:10.1186/s12944-017-0434-5) contains supplementary material, which is available to authorized users.

Dihydroartemisinin increases temozolomide efficacy in glioma cells by inducing autophagy

Artemisinin, a powerful antimalarial medicine, is extracted from the Chinese herb, Artemisia annua L., and has the ability to inhibit the proliferation of cancer cells. Dihydroartemisinin (DHA), the major active metabolite of artemisinin, is able to inhibit the growth of a variety of types of human cancer. However, the effect of DHA on human glioma cells remains unclear. The aim of the present study was to investigate the effect of DHA on the proliferation of glioma cells, and whether DHA was able to enhance temozolomide (TMZ) sensitivity in vitro and in vivo. In total, 10 human glioma cell lines were used to analyze the growth inhibition ability of DHA by MTT assay. The typical autophagic vacuoles were monitored by the application of the autofluorescent agent, monodansylcadaverine. Western blotting was used to detect markers of apoptosis and autophagy, namely Caspase-3, Beclin-1 and LC3-B. The combination efficiency of DHA and TMZ was assessed in vitro and in vivo. The half maximal inhibitory concentration (IC₅₀) of DHA differed among the ten human glioma cell lines. The number of autophagic vacuoles was higher in DHA-treated SKMG-4 cells; this was highest of all cell lines analyzed. The expression of autophagy molecular markers, Beclin-1 and LC3-B, was increased following DHA treatment, while no significant alteration was detected in the expression of apoptotic marker Caspase-3. When combined with DHA, the IC₅₀ of TMZ decreased significantly in the four glioma cell lines analyzed. Furthermore, DHA enhanced the tumor inhibition ability of TMZ in tumor-burdened mice. The results of the present study demonstrated that DHA inhibited the proliferation of glioma cells and enhanced the tumor inhibition efficacy of TMZ in vitro and in vivo through the induction of autophagy.