Probiotic Therapy (BIO-THREE) Mitigates Intestinal Microbial Imbalance and Intestinal Damage Caused by Oxaliplatin

Probiotics and Antimicrobial Proteins - Gastrointestinal mucositis associated with the use of chemotherapeutic drugs can seriously affect the quality of life of patients. In this study, a probiotic...     

Accurate cancer classification using expressions of very few genes

We aim at finding the smallest set of genes that can ensure highly accurate classification of cancers from microarray data by using supervised machine learning algorithms. The significance of finding the minimum gene subsets is three-fold: 1) it greatly reduces the computational burden and "noise" arising from irrelevant genes. In the examples studied in this paper, finding the minimum gene subsets even allows for extraction of simple diagnostic rules which lead to accurate diagnosis without the need for any classifiers, 2) it simplifies gene expression tests to include only a very small number of genes rather than thousands of genes, which can bring down the cost for cancer testing significantly, 3) it calls for further investigation into the possible biological relationship between these small numbers of genes and cancer development and treatment. Our simple yet very effective method involves two steps. In the first step, we choose some important genes using a feature importance ranking scheme. In the second step, we test the classification capability of all simple combinations of those important genes by using a good classifier. For three "small" and "simple" data sets with two, three, and four cancer (sub)types, our approach obtained very high accuracy with only two or three genes. For a "large" and "complex" data set with 14 cancer types, we divided the whole problem into a group of binary classification problems and applied the 2-step approach to each of these binary classification problems. Through this "divide-and-conquer" approach, we obtained accuracy comparable to previously reported results but with only 28 genes rather than 16,063 genes. In general, our method can significantly reduce the number of genes required for highly reliable diagnosis     

MicroRNA-200c promotes osteogenic differentiation of human bone mesenchymal stem cells through activating the AKT/β-Catenin signaling pathway via downregulating Myd88

During the human bone formation, the event of osteogenic differentiation of human bone mesenchymal stem cells (hBMSCs) is vital, and recent evidence has emphasized the important role of microRNAs (miRNAs) in osteogenic differentiation of hBMSCs. This study aims to examine the potential effects of miR-200c in osteogenic differentiation of hBMSCs and understand their underlying mechanisms. HBMSCs were obtained via human bone marrow. During osteogenic induction and differentiation, cells were transfected with different plasmids with the intention of investigating the roles of miR-200c on osteogenic differentiation, calcium salt deposition, alkaline-phosphatase (ALP) activity, mineralized nodule formation, osteocalcin (OCN) content, and proliferation of osteoblasts. Following transfection, dual luciferase reporter gene assay was conducted so as to explore the correlation between miR-200c and Myd88. Moreover, the AKT/β-Catenin signaling pathway was blocked with an AKT/β-Catenin inhibitor, AKTi, to investigate its involvement. The hBMSCs were successfully isolated from human bone marrow. Myd88 was determined as a target gene of miR-200c. Gain and loss-of-function assays confirmed that overexpression of miR-200c, or silencing of Myd88 promoted osteogenic differentiation, increased calcium salt deposition, ALP activity, mineralized nodule formation, and enhanced the proliferation of osteoblasts following osteogenic differentiation of hBMSCs. Meanwhile, the downregulation of miR-200c has been shown to have the opposite effect. Furthermore, these findings showed that the miR-200c overexpression activated the AKT/β-Catenin signaling pathway by targeting Myd88. To sum up, the miR-200c upregulation induces osteogenic differentiation of hBMSCs by activating the AKT/β-Catenin signaling pathway via the inhibition of Myd88, providing a target for treatment of bone repair.     

Downregulation of lysyl oxidase-like 4 LOXL4 by miR-135a-5p promotes lung cancer progression in vitro and in vivo

Aberrant microRNAs are widely identified in multiple cancers, including lung cancer. miR-135a-5p can function as a significant tumor regulator in diverse cancers via impacting multiple genes in oncogenic pathways. Nevertheless, the biological role of miR-135a-5p in lung cancer is poorly known. Here, we investigated its function in lung cancer. As exhibited, miR-135a-5p was elevated in lung cancer cells in contrast to BEAS-2B cells. Then, we inhibited miR-135a-5p expression by transfecting LV-anti-miR-135a-5p into lung cancer cells. As displayed, miR-135a-5p was obviously reduced in A549 and H1299 cells. Knockdown of miR-135a-5p repressed lung cancer cell growth and cell proliferation. Meanwhile, cell colony formation capacity was depressed, cell apoptosis was enhanced and cell cycle progression was blocked in G1 phase by inhibition of miR-135a-5p in vitro. Additionally, the migration and invasion of A549 and H1299 cells was strongly depressed by LV-anti-miR-135a-5p. For another, by using informatics analysis, lysyl oxidase-like 4 (LOXL4) was speculated as the downstream target of miR-135a-5p. We validated their direct correlation and moreover, overexpression of miR-135a-5p restrained LOXL4 levels in lung cancer cells. Subsequently, we proved that miR-135a-5p promoted lung cancer development via targeting LOXL4 by carrying out the in vivo assays. Taken these together, our study revealed miR-135a-5p might be indicated as a perspective for lung cancer via targeting LOXL4.     

Purple sweet potato color attenuated NLRP3 inflammasome by inducing autophagy to delay endothelial senescence

Autophagy is a vital negative factor regulating cellular senescence. Purple sweet potato color (PSPC), one type of flavonoid, has been demonstrated to suppress endothelial senescence and restore endothelial function in diabetic mice by inhibiting the nucleotide-binding oligomerization domain, leucine rich repeat and pyrin domain containing protein 3 (NLRP3) inflammasome. However, the roles of autophagy in the inflammatory response during endothelial senescence are unknown. Here, we found that PSPC augmented autophagy to restrict high-glucose-induced premature endothelial senescence. In addition, PSPC administration impaired endothelium aging in diabetic mice by increasing autophagy. Inhibition of autophagy accelerated endothelial senescence, while enhancement of autophagy delayed senescence. Moreover, deactivation of the NLRP3 inflammasome triggered by PSPC was autophagy-dependent. Autophagy receptor microtubule-associated protein 1 light chain 3 and p62 interacted with the inflammasome component NLRP3, suggesting that autophagosomes target the NLRP3 inflammasome and deliver it to the lysosome for degradation. Altogether, PSPC amplified cellular autophagy, subsequently attenuated NLRP3 inflammasome activity and finally delayed endothelial senescence to ameliorate cardiovascular complication. These results suggest a potential therapeutic target in senescence-related cardiovascular diseases.     

Erratum: “CTAB-PEG DNA Extraction from Fungi with High Contents of Polysaccharides”

Molecular Biology - The original article can be found online at DOI: 10.1134/S0026893318040088 Page 622, in Reagents and Solutions should read 20 mg/mL proteinase K; Page 622, in Reagents...     

Proteomic analysis of the similarities and differences of soil drought and polyethylene glycol stress responses in wheat (Triticum aestivum L.)

Plant Molecular Biology - Our results reveal both soil drought and PEG can enhance malate, glutathione and ascorbate metabolism, and proline biosynthesis, whereas soil drought induced these...     

MicroRNA-26b/PTEN Signaling Pathway Mediates Glycine-Induced Neuroprotection in SAH Injury

Neurochemical Research - Subarachnoid hemorrhage (SAH) is a form of stroke associated with high mortality and morbidity. Despite advances in treatment for SAH, the prognosis remains poor. We have...     

Inhibitor of growth 4 inhibits cell proliferation,migration, and induces apoptosis of renal cell carcinoma cells

The inhibitor of growth 4 (ING4) is known as a tumor suppressor. The expressions of ING4 were markedly reduced in human renal clear cell carcinoma (ccRCC) tissues. However, the role of ING4 in renal cell carcinoma (RCC) remains unknown. The aim of the current study was to detect the ING4 expression level and its potential role in human RCC cell lines. Our results showed that ING4 was lowly expressed in human RCC cell lines compared with that in proximal tubular cell line. Ectopic overexpression of ING4 inhibited the proliferation, migration, and invasion properties, and as well as prevented epithelial-mesenchymal transition (EMT) phenotype of RCC cells. In addition, ING4 overexpression induced cell apoptosis and autophagy in RCC cells. Furthermore, ING4 overexpression suppressed the activation of PI3K/Akt pathway in RCC cells. The activator of PI3K/Akt, insulin-like growth factor 1, abolished the effects of ING4 on RCC cells. These findings indicated that ING4 presented anticancer activity in RCC cells. The effects of ING4 on RCC cells were mediated by regulating the PI3K/Akt pathway. These findings suggested that ING4 could be used for gene therapy of RCC.