Refinement and Analysis of the Mature Zika Virus Cryo-EM Structure at 3.1 Å Resolution

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Novel racemosin B derivatives as new therapeutic agents for aggressive breast cancer

Carbazole derivatives show anti-cancer activity and are of great interest for drug development. In this study, we synthesized and analyzed several new alkylamide derivatives of racemocin B, a natural indolo[3,2-a]carbazole molecule originally isolated from the green alga Caulerpa racemose. Several alkylamide derivatives were found to exhibit moderate to strong growth inhibition against human breast cancer cell lines. They induced G2/M cell cycle arrest and apoptosis in the aggressive triple-negative breast cancer cell line MDA-MB-231. Among these derivatives, compound 25 with the lowest IC₅₀ induced cell death by suppressing autophagy. This was accompanied by inhibition of autophagic flux and accumulation of autophagy protein 1 light chain 3, LC3II, and p62. The novel alkylamide derivative offers a potential new treatment for human breast cancer.     

Expression profiles of microRNAs in oxidized low-density lipoprotein-stimulated RAW 264.7 cells

Macrophage-derived foam cells were one of the hallmarks of atherosclerosis, and microRNAs played an important role in the formation of foam cells. In order to explore the roles of miRNA in the formation of foam cells, we investigated miRNA expression profiles in foam cells through high-throughput sequencing technology. A total of 84 miRNAs were differentially expressed between RAW 264.7 macrophages and foam cells induced by ox-LDL. Thirty miRNAs were upregulated and 54 miRNAs were downregulated. GO terms and KEGG pathways analysis revealed that the target genes of most of DE miRNAs were mainly enriched in “cell differentiation,” “endocytosis,” “MAPK signaling pathway,” and “FoxO signaling pathway.” The target genes of some DE miRNAs were enriched in “Insulin signaling pathway,” “Hippo signaling pathway,” “TNF signaling pathway,” “NF-kappa B signaling pathway,” and “cell death.” Using bioinformatics analyses and dual-luciferase reporter assays, we found that miR-28a-5p and miR-30c-1-3p directly inhibited LRAD3 and LOX-1 mRNA expression through targeting the 3’UTR of LRAD3 and LOX-1 mRNA, respectively. Our study indicates that miRNAs are extensively involved in the formation of foam cells, and provides a valuable resource for further study the role of miRNAs in atherosclerosis.     

BMP7 plays a critical role in TMEM100-inhibited cell proliferation and apoptosis in mouse metanephric mesenchymal cells in vitro

Kidney mainly arises from the induction of metanephric mesenchymal cells (MM cells) and the ureteric bud (UB). Transmembrane protein-100 (Tmem100) consists of two transmembrane regions with strong temporal and spatial expression characteristics during renal development. However, the function of Tmem100 in mouse embryonic kidney-derived cells remained unclear. We provided qPCR to verify the relationship between Tmem100 and the BMP signal pathway. To clarify the role of Tmem100 in cell proliferation and apoptosis, we carry out EdU incorporation, annexin V- fluorescein isothiocyanate (FITC) apoptosis assay. Here, we find that the knockdown of Tmem100 increases the proliferation and apoptosis of mouse embryonic kidney-derived cells, and this promotion can be inhibited by knockdown of BMP7 at the same time; these results suggest that BMP7 plays a crucial role in Tmem100-regulated cell proliferation and apoptosis. qRT-PCR results further demonstrate that the deficiency of Tmem100 leads to BMP7 upregulation and overexpression could get opposite results. In BMP7-depleted MK3 cells, Tmem100 is highly upregulated and BMPR-II is downregulated. And in BMP7-overexpressed MK3 cells, the expression of Tmem100 is decreased. In BMPR-II-depleted MK3 cells, Tmem100 is downregulated and BMP7 expression remains still. These findings indicate that both BMP7 and BMPR-II can regulate Tmem100 and vice versa, and BMPR-II expression is regulated by BMP7. However, BMP7 has no association with BMPR-II in MK3 cells. Our data demonstrated the significant role of BMP7 in Tmem100-regulated cell proliferation and apoptosis and revealed the complicated regulation network among Tmem100, BMP7, and BMPR-II in mouse embryonic kidney-derived cells.     

Pollution and ecological risk assessment of antimony and other heavy metals in soils from the world's largest antimony mine area,China

Xikuangshan is located in Lengshuijiang City, Hunan province, China. With intensive mining and metallurgical activities, large amounts of tailing containing heavy metals (in this study, the term “heavy metals” is used for both metals and metalloids) were introduced to the soils around the mine area. Those heavy metals including antimony and other heavy metals would pose huge risk to human health and ecological environment. With a view to providing information on the extent of contamination and potential ecological risk of heavy metals in the soils of this mine area, the total contents of antimony (Sb), manganese (Mn), zinc (Zn), arsenic (As), cadmium (Cd), and lead (Pb) in the soils were examined. The results revealed that the predominant pollutants in this area were Sb, Cd, and Zn with mean concentrations being 356.58, 9.98, and 486.42 mg kg^?1, 119.66, 117.41, and 5.17 times of the corresponding background values respectively. The pollution indices (Ps) indicated that the pollution levels of all sampling zones were serious including the control zones. The ecological risk levels of all heavy metals were very high on all the sampling zones except sampling zone 7 (as considerable), and Sb, Cd, and As were regarded as making great contribution to the risk indices (RI).     

A systematic review on metabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer

Introduction

Metabolomics is an emerging approach for early detection of cancer. Along with the development of metabolomics, high-throughput technologies and statistical learning, the integration of multiple biomarkers has significantly improved clinical diagnosis and management for patients.

Objectives

In this study, we conducted a systematic review to examine recent advancements in the oncometabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer.

Methods

PubMed, Scopus, and Web of Science were searched for relevant studies published before September 2017. We examined the study designs, the metabolomics approaches, and the reporting methodological quality following PRISMA statement.

Results and Conclusion

The included 25 studies primarily focused on the identification rather than the validation of predictive capacity of potential biomarkers. The sample size ranged from 10 to 8760. External validation of the biomarker panels was observed in nine studies. The diagnostic area under the curve ranged from 0.68 to 1.00 (sensitivity: 0.43–1.00, specificity: 0.73–1.00). The effects of patients’ bio-parameters on metabolome alterations in a context-dependent manner have not been thoroughly elucidated. The most reported candidates were glutamic acid and histidine in seven studies, and glutamine and isoleucine in five studies, leading to the predominant enrichment of amino acid-related pathways. Notably, 46 metabolites were estimated in at least two studies. Specific challenges and potential pitfalls to provide better insights into future research directions were thoroughly discussed. Our investigation suggests that metabolomics is a robust approach that will improve the diagnostic assessment of pancreatic cancer. Further studies are warranted to validate their validity in multi-clinical settings.

     

Association between high‐sensitivity C‐reactive protein,lipoprotein‐associated phospholipase A2 and carotid atherosclerosis: A cross‐sectional study

High‐sensitivity C‐reactive protein (hs‐CRP) and lipoprotein‐associated phospholipase A2 (Lp‐PLA2) have been reported to be independent predictors of atherosclerosis. However, whether the combination of these two markers can improve the prediction of atherosclerosis is unknown. This study aimed to evaluate the association between combining hs‐CRP and Lp‐PLA2 and predicting carotid atherosclerosis. A total of 1982 participants aged ≥40 years were included in this study. Hs‐CRP and Lp‐PLA2 were measured by a high‐sensitivity nephelometry assay and quantitative sandwich enzyme‐linked immunosorbent assay, respectively. Ultrasonography was performed on the bilateral carotid arteries to evaluate stenosis and plaques. Multivariable logistic regression models were used to analyse the association between the combination of the hs‐CRP and Lp‐PLA2 levels and carotid plaques and stenosis. A total of 1579 (79.7%) and 181 (9.1%) subjects had carotid plaques and carotid stenosis, respectively. The group with high hs‐CRP and Lp‐PLA2 levels had the highest prevalence of carotid plaques (90.6%) and stenosis (20.8%). A significant association was found between high hs‐CRP and Lp‐PLA2 levels and carotid stenosis (adjusted odds ratio [OR]: 2.39; 95% confidence interval [CI]: 1.13‐5.09), but this combination was not associated with carotid plaques (OR: 2.62, 95% CI: 0.93‐7.38). The results suggested that the combination of hs‐CRP and Lp‐PLA2 were better predictors than either protein alone with regard to carotid atherosclerosis.