[Effects on expression of osteogenesisgene in the osteoblast with endoplasmic reticulum stress induced by fluoride].

OBJECTIVE: To explore the gene expressions of endoplasmic reticulum stress and differentiation in osteoblast treated by excess fluoride. METHODS: Using primary cultured human osteoblasts for fluorosis model in vitro, apoptosis was inspected by flow cytometer, and RNA was extracted for examination of the unfolded protein response and bone differentiation genes. RESULTS: Fluoride could cause endoplasm reticulum stress in osteoblasts by 15 genes upregulated, 1 gene downregulated. These genes involved PERK, IRE1 and ATF6 signaling pathways of endoplasmic reticulum stress. Meanwhile 32 osteogenesis genes were upregulated, and 2 genes downregulated, involving collagen, matrix metalloproteinase, integrin, bone morphogenetic protein, vascular endothelial growth factor, and tumor necrosis factor gene. CONCLUSION: Excess fluoride can cause endoplasmic stress in osteoblast, while have an impact on the gene expression of osteogenesis.

Promoter Hypermethylation Downregulates MiR-125b-5p and MiR-199b-5p Targeting of ΔNp63, Resulting in PI3K/AKT/mTOR Pathway Activation and Keratinocyte Differentiation.

BACKGROUND: Normal keratinocyte differentiation is important for epidermal wound healing. ΔNp63 is a major gene regulating epidermal formation and differentiation. We identified miRNAs targeting ΔNp63 and studied the association between the miRNAs and DNA methylation in keratinocyte differentiation. AIMS: This study aimed to explore the mechanisms regulating ΔNp63 expression during keratinocyte differentiation. METHODS: Bioinformatics analysis was performed to screen the miRNAs targeting ΔNp63 and uncover potential pathway mechanisms. The differentiation model of keratinocytes was established by CaCl2 treatment. Furthermore, the effects of the miRNA transgenic technique on Δ Np63 and keratinocyte differentiation were studied. In addition, the RNA FISH experiment was conducted to detect the location of different miRNAs. A double luciferase reporter experiment was carried out to verify the potential bindings between the miRNAs and ΔNp63. A rescue experiment was also performed to assess the effects of different miRNAs targeting ΔNp63 on keratinocyte differentiation. We analyzed the methylation patterns of the promoter regions of miRNAs using keratinocytes treated with 5-Aza-2'-deoxycytidine. Finally, we designed a methylation rescue experiment to verify the effects of miRNA promoter methylation on keratinocyte differentiation. RESULTS: Bioinformatics analysis showed that the miR-125b-5p and miR-199b-5p binding to the ΔNp63 3'UTR region decreased during skin development. Moreover, such binding may downregulate the PI3K/AKT/mTOR pathway. The expression levels of CK10, Inv, TG1, ΔNp63, and PI3K/AKT/mTOR were all significantly increased during keratinocyte differentiation. Both miR- 125b-5p and miR-199b-5p were localized in the cytoplasm. Luciferase assay results showed that both miR-125b-5p and miR-199b-5p can bind to the 3'UTR region of ΔNp63. Overexpression of ΔNp63 can significantly counteract the inhibitory effect of miRNA mimics on keratinocyte differentiation. Moreover, the promoter regions of both miR-125b-5p and miR-199b-5p had methylation sites, and the methylation levels in those promoter regions were significantly increased during keratinocyte differentiation. 5-Aza-2'-Deoxycytidine treatment increased the expression of miR- 125b-5p and miR-199b-5p and inhibited the differentiation of keratinocytes. Finally, miRNA inhibitors reversed the inhibitory effects of 5-Aza-2'-deoxycytidine on keratinocyte differentiation. CONCLUSION: Promoter hypermethylation in miR-125b-5p and miR-199b-5p seem to promote keratinocyte differentiation via upregulation of ΔNp63 expression and the activation of the PI3K/AKT/mTOR pathway. The findings of this study are helpful for future research on skin development and clinical scar-free healing.

Let-7 family regulates HaCaT cell proliferation and apoptosis via the ΔNp63/PI3K/AKT pathway.

We evaluated the expression profiles of differentially expressed miRNAs (DEmiRNAs) involved in human fetal skin development via high-throughput sequencing to explore the expression difference and the regulatory role of miRNA in different stages of fetal skin development. Analysis of expression profiles of miRNAs involved collecting embryo samples via high-throughput sequencing, then bioinformatics analyses were performed to validate DEmiRNAs. A total of 363 miRNAs were differentially expressed during the early and mid-pregnancy of development, and upregulated DEmiRNAs were mainly concentrated in the let-7 family. The transfection of let-7b-5p slowed down HaCaT cell proliferation and promoted apoptosis, as evidenced by the cell counting kit-8 assay, quantitative real-time polymerase chain reaction, and flow cytometry. The double luciferin reporter assay also confirmed let-7b-5p and ΔNp63 downregulation through the combination with the 3'-untranslated region of ΔNp63. Moreover, treatment with a let-7b-5p inhibitor upregulated ΔNp63 and activated the phosphoinositide 3-kinase (PI3K)-protein kinase B (AKT) signaling pathway. The let-7b-5p caused a converse effect on HaCaT cells because of Np63 upregulation. Let-7b-5p regulates skin development by targeting ΔNp63 via PI3K-AKT signaling, contributing to future studies on skin development and clinical scar-free healing.

The construction and validation of a frailty risk prediction model for older adults with lung cancer: A cross-sectional study.

OBJECTIVE: We aimed to construct and internally validate a frailty risk prediction model in older adults with lung cancer. METHOD: In total, 538 patients were recruited in a grade A tertiary cancer hospital in Tianjin, and patients were randomly divided into the training group (n = 377) and the testing group (n = 166) at a ratio of 7:3. The Frailty Phenotype scale was used to identify frailty and logistic regression analysis was used to identify the risk factors and establish a frailty risk prediction model. RESULTS: In the training group, logistic regression showed that age, fatigue-related symptom cluster, depression, nutritional status, D-dimer level, albumin level, presence of comorbidities, and disease course were independent risk factors for frailty. The areas under the curve (AUCs) of the training and testing groups were 0.921 and 0.872, respectively. A calibration curve of P = 0.447 validated model calibration. The decision curve analysis demonstrated greater clinical benefit when the threshold probability was >20%. CONCLUSION: The prediction model had a favorable prediction power for determining the risk of frailty, contributing to the prevention and screening of frailty. Patients with a frailty risk score of more than 0.374 should be regularly monitored for frailty and receive personalized preventive interventions.

Fluoride induces hypomethylation of BMP2 and activates osteoblasts through the Wnt/ß-catenin signaling pathway.

BACKGROUND: Skeletal fluorosis has become a public health issue in recent years as its serious impact on patients' life expectancy. Bone morphogenetic protein 2 (BMP2) plays a key role in promoting osteogenesis. However, the mechanism of BMP2-Wnt/ß-catenin axis in skeletal fluorosis needs further exploration. METHODS: The RT-qPCR and western blot assay were carried out to examine the mRNA and protein levels. Cell viability was measured by MTT assay. A commercial ALP assay kit was used to detect ALP activities. Alizarin Red staining was performed to measure the formation of mineralized nodules. Methylation-specific PCR (MSP) was performed to measure the methylation level of BMP2. RESULTS: Fluoride promoted the expression of osteogenic marker genes (OPN, OCN, OSX and RUNX2) and induced the proliferation and differentiation of MC3T3-E1 cells. Fluoride induced hypomethylation and high expression of BMP2. Furthermore, knockdown of BMP2 reversed the promoting effect of fluoride on osteogenic differentiation of MC3T3-E1. The expression of ß-catenin, glycogen synthase kinase 3ß (GSK3ß), wingless/integrated 3α (Wnt3α), low-density lipoprotein receptor-related protein 5 (LRP5) and dishevelled 1 (Dv1) were increased in osteoblasts treated with fluoride, however, knockdown of BMP2 reversed this phenomenon. Simultaneous knockdown of BMP2 and ß-catenin significantly inhibited the differentiation of osteoblasts induced by fluoride. CONCLUSION: Fluoride contributed to proliferation and differentiation of osteoblasts through BMP2-Wnt/ß-catenin axis, providing a feasible theoretical basis for the treatment of skeletal fluorosis.

Effects of fluoride on the proliferation and activation of osteoblasts by regulating methylation of the DNA repair genes MGMT and MLH1.

INTRODUCTION: Fluoride can induce the proliferation and activation of osteoblasts, resulting in skeletal fluorosis progression; however, the specific mechanism is unclear. METHODS: Cell proliferation was examined using the MTT assay. Flow cytometry was performed to detect the cell cycle distribution. Alkaline phosphatase (ALP) was calculated to evaluate bone formation and turnover. Gene methylation was examined using the MSP assay. mRNA and protein expression levels were assessed using qRT-PCR and Western blot assays. RESULTS: Low-concentration NaF treatment promoted the cell cycle progression of osteoblasts to S-phase, thus accelerating cell proliferation and activation in a concentration-dependent manner. In addition, the methylation of the MGMT and MLH1 genes was increased, and their mRNA expression was reduced. Furthermore, the DNA methyltransferase inhibitor 5-AZA-dC suppressed cell viability, cell number in S-phase, ALP activity and osteogenesis-related protein levels in osteoblasts treated with low doses of NaF. Meanwhile, 5-AZA-dC suppressed the increase in MGMT and MLH1 gene methylation in osteoblasts treated with low doses of NaF, leading to enhanced expression of MGMT and MLH1 mRNA. CONCLUSION: NaF treatment led to methylation of the DNA repair genes MGMT and MLH1 in osteoblasts, resulting in cell proliferation and activation and causing the development of skeletal fluorosis.

Identification of Novel Prognostic Biomarkers in Head and Neck Squamous Cell Carcinoma using Bioinformatics Analysis.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is a common cancer that is characterized by a complex pathogenesis. Only limited data are available on the primary pathogenic genes and pathways in HNSCC. OBJECTIVE: This study aimed to identify potential biomarkers of HNSCC and explore its underlying mechanisms. METHODS: We screened differentially expressed genes (DEGs) using the Gene Expression Omnibus(GEO) database. Gene Ontology (GO) and Reactome pathway enrichment were analyzed using the STRING database. The protein-protein interaction network of the DEGs was reconstructed using Cytoscape software in STRING. The ONCOMINE and UNLCAN databases were used to identify the expression of hub genes. In addition, we employed UNLCAN to correlate tumor grade with key genes. RESULTS: Finally, the effect of hub genes on overall survival (OS) was analyzed using the Kaplan- Meier method. In total, 22 DEGs were identified. These were related to the mitotic cell cycle, mitotic G1-G1, and S phases, G2/M transition, NOTCH signaling, and regulation of TP53 activity. Seven hub genes were screened with Cytoscape. Increased expression of five hub genes (AURKA, BIRC5, MKI67, UBE2C, and TOP2A) was related to a higher tumor grade and worse OS. CONCLUSION: We have identified five key genes that may help us understand the carcinogenic mechanisms related to the cell cycle in HNSCC. These genes may be used as biomarkers for survival and treatment of HNSCC.

Bioinformatics analysis of lncRNA­associated ceRNA network in melanoma.

Melanoma is an extremely malignant tumor with early metastasis and high mortality. Little is known about the process of by which melanoma occurs, as its mechanism is very complex and only limited data are available on its long non-coding RNA (lncRNA)-associated competing endogenous RNAs (ceRNAs). The purpose of this study was to screen out potential prognostic molecules and identify a ceRNA network related to the occurrence of melanoma. We screened 169 differentially expressed mRNAs (DEmRNAs) from E-MTAB-1862 and GSE3189; gene ontology (GO) enrichment analysis showed that these genes were closely related to the development of skin. In the protein-protein interaction network, we screened out a total of 19 hub genes. Furthermore, we predicted the microRNAs (miRNAs) that regulate hub genes using the miRWalk database and then intersected these with GSE35579, resulting in nine DEmiRNAs. We also predicted the lncRNAs that regulate the miRNAs using the LncBasev.2 database. According to the ceRNA hypothesis, and based on the intersection of the DElncRNAs with merged GTEx and TCGA data, we obtained 20 DElncRNAs. A total of four DEmRNAs, nine DEmiRNAs, and 20 DElncRNAs were included in the ceRNA network. Based on Cox stepwise regression and survival analysis, we identified five biomarkers, ZSCAN16-AS1, LINC00520, XIST, DTL, and let-7a-5p, and obtained risk scores. The results showed that most of the differentially expressed genes were related to epithelial-mesenchymal transition (EMT) in melanoma. Finally, we obtained a LINC00520/let-7a-5p/DTL molecular regulatory network. These results suggest that ceRNA networks have an important role in evaluating the prognosis of patients with melanoma and provide a new experimental basis for exploring the EMT process in the development of melanoma.

A Novel Autophagy-Related lncRNA Gene Signature to Improve the Prognosis of Patients with Melanoma.

OBJECTIVE: Autophagy and long noncoding RNAs (lncRNAs) have been the focus of research on the pathogenesis of melanoma. However, the autophagy network of lncRNAs in melanoma has not been reported. The purpose of this study was to investigate the lncRNA prognostic markers related to melanoma autophagy and predict the prognosis of patients with melanoma. METHODS: We downloaded RNA sequencing data and clinical information of melanoma from the Cancer Genome Atlas. The coexpression of autophagy-related genes (ARGs) and lncRNAs was analyzed. The risk model of autophagy-related lncRNAs was established by univariate and multivariate Cox regression analyses, and the best prognostic index was evaluated combined with clinical data. Finally, gene set enrichment analysis was performed on patients in the high- and low-risk groups. RESULTS: According to the results of the univariate Cox analysis, only the overexpression of LINC00520 was associated with poor overall survival, unlike HLA-DQB1-AS1, USP30-AS1, AL645929, AL365361, LINC00324, and AC055822. The results of the multivariate Cox analysis showed that the overall survival of patients in the high-risk group was shorter than that recorded in the low-risk group (p < 0.001). Moreover, in the receiver operating characteristic curve of the risk model we constructed, the area under the curve (AUC) was 0.734, while the AUC of T and N was 0.707 and 0.658, respectively. The Gene Ontology was mainly enriched with the positive regulation of autophagy and the activation of the immune system. The results of the Kyoto Encyclopedia of Genes and Genomes enrichment were mostly related to autophagy, immunity, and melanin metabolism. CONCLUSION: The positive regulation of autophagy may slow the transition from low-risk patients to high-risk patients in melanoma. Furthermore, compared with clinical information, the autophagy-related lncRNA risk model may better predict the prognosis of patients with melanoma and provide new treatment ideas.

Comprehensive analysis of the aberrantly expressed lncRNA­associated ceRNA network in breast cancer.

Previous studies have suggested that long non­coding RNAs (lncRNAs) are closely associated with human diseases, particularly cancer, including cancer of the lung, breast and stomach. A variety of lncRNAs are abnormally expressed in cancer and participate in several pathways including cell proliferation and apoptosis; these elements are closely associated with the development of cancer. The Cancer Genome Atlas (TCGA) is an important cancer database. It consists of clinical data, genomic variation, mRNA, microRNA (miRNA) and lncRNAs expression, methylation and other data for various types of human cancer. In the present study, differential expression of RNA was identified using the edgeR package. A total 1,222 RNA sequencing profiles from patients with breast cancer were downloaded from TCGA. A competing endogenous RNA (ceRNA) network was constructed for breast cancer based on miRcode and miRTarBase. The top 10 lncRNAs were selected using Cox regression analysis. Survival analysis was performed using Kaplan­Meier analysis. A total of 1,028 breast cancer­associated lncRNAs and 89 miRNAs (fold change >2; P<0.05) were identified; among these, 93 lncRNAs and 19 miRNAs were included in the ceRNA network. Subsequently, 10 basic lncRNAs were selected and their associations with overall survival were identified. In addition, 5 lncRNAs (ADAM metallopeptidase with thrombospondin type 1 motif 9­antisense RNA 1, AL513123.1, chromosome 10 open reading frame 126, long intergenic non­protein coding RNA 536 and Wilms tumor 1 antisense RNA) were identified to be significantly associated with overall survival (P<0.05, log rank test). These results suggested that mRNAs, lncRNAs and miRNAs were involved in pathological mechanisms of breast cancer. The newly­identified ceRNA network included 93 breast cancer­specific lncRNAs, 19 miRNAs and 27 mRNAs. The results of the present study highlight the potential of lncRNAs in understanding the development and pathogenesis of breast cancer, and suggest novel concepts and an experimental basis for the identification of prognostic biomarkers and therapeutic targets for breast cancer.

Silencing of Long Noncoding RNA MIR22HG Triggers Cell Survival/Death Signaling via Oncogenes YBX1, MET, and p21 in Lung Cancer.

The long noncoding RNA (lncRNA) MIR22HG has previously been identified as a prognostic marker in hepatocellular carcinoma. Here, we performed a comprehensive analysis of lncRNA expression profiles from RNA-Seq data and report that MIR22HG plays a similar role in lung cancer. Analysis of 918 lung cancer and normal lung tissues and lung cancer cell lines revealed that MIR22HG was significantly downregulated in lung cancer; this decreased expression was associated with poor patient survival. MIR22HG bound and stabilized the YBX1 protein. Silencing of MIR22HG triggered both cell survival and cell death signaling through dysregulation of the oncogenes YBX1, MET, and p21. In this MIR22HG network, p21 played an oncogenic role by promoting cell proliferation and antiapoptosis in lung cancers. MIR22HG played a tumor-suppressive role as indicated by inhibition of multiple cell cycle-related genes in human primary lung tumors. These data show that MIR22HG has potential as a new diagnostic and prognostic marker and as a therapeutic target for lung cancer.Significance: The lncRNA MIR22HG functions as a tumor suppressor, with potential use a diagnostic/prognostic marker and therapeutic target in lung cancer. Cancer Res; 78(12); 3207-19. ©2018 AACR.

Overexpression of LINC00152 correlates with poor patient survival and knockdown impairs cell proliferation in lung cancer.

We employed RNA sequencing analysis to reveal dysregulated lncRNAs in lung cancer utilizing 461 lung adenocarcinomas and 156 normal lung tissues from 3 separate cohorts. We found that LINC00152 was highly overexpressed in lung tumors as compared to their adjacent normal tissues. Patients with high LINC00152 expression demonstrate a significantly poorer survival than those with low expression. We verified the diagnostic/prognostic potential of LINC00152 expression in an independent cohort of lung tumor tissues using quantitative RT-PCR. After knockdown of LINC00152 using siRNAs in lung cancer cell lines, both cell proliferation and colony formation were decreased. Cell fractionation and qRT-PCR analysis indicated that LINC00152 is found mainly in the cytoplasm. Treatment with Trichostatin A in cell lines having low LINC00152 expression indicated that histone acetylation may be one mechanism underlying LINC00152 overexpression in NSCLC. Western blot analyses indicated that p38a, STAT1, STAT3, CREB1, CCNE1 and c-MYC proteins were decreased after LINC00152 siRNA treatment. Our study indicates LINC00152 plays an important role in lung tumor growth and is potentially a diagnostic/prognostic marker. Further characterization of LINC00152 in regulating its target proteins may provide a novel therapeutic target of lung cancer.

Overexpression of FAM83H-AS1 indicates poor patient survival and knockdown impairs cell proliferation and invasion via MET/EGFR signaling in lung cancer.

Whole transcriptome analyses of next generation RNA sequencing (RNA-Seq) data from human cancer samples reveled thousands of uncharacterized non-coding RNAs including long non-coding RNA (lncRNA). Recent studies indicated that lncRNAs are emerging as crucial regulators in cancer processes and potentially useful as biomarkers for cancer diagnosis and prognosis. To delineate dysregulated lncRNAs in lung cancer, we analyzed RNA-Seq data from 461 lung adenocarcinomas (LUAD) and 156 normal lung tissues. FAM83H-AS1, one of the top dysregulated lncRNAs, was found to be overexpressed in tumors relative to normal lung and significantly associated with worse patient survival in LUAD. We verified this diagnostic/prognostic potential in an independent cohort of LUAD by qRT-PCR. Cell proliferation, migration and invasion were decreased after FAM83H-AS1 knockdown using siRNAs in lung cancer cells. Flow cytometry analysis indicated the cell cycle was arrested at the G2 phase after FAM83H-AS1 knockdown. Mechanistically, we found that MET/EGFR signaling was regulated by FAM83H-AS1. Our study indicated that FAM83H-AS1 plays an important role in lung tumor progression and may be potentially used as diagnostic/prognostic marker. Further characterization of this lncRNA may provide a novel therapeutic target impacting MET/EGFR signaling.

MicroRNA expression patterns of the kidney in hyperuricemia mice treated with Xiezhuo Chubi Decoction.

OBJECTIVE: To investigate the effects of Xiezhuo Chubi Decoction (XZCBD) on the microRNA expression patterns of kidney in mice with hyperuricemia. METHODS: Sixty Kunming male mice were randomly divided into the high-, medium-, and low-dose XZCBD groups, benzbromarone group, model group, and control group. Except the control group, all mice were established with yeast method combined with uricase inhibition method to build hyperuricemia model, and the corresponding drugs (37.5 g/kg, 18.75 g/kg, 9.375 g/kg, and 0.02 g/kg per day) were administrated on the 7th day. On the 22nd day, the blood uric acid concentration was detected, and microRNA with obvious changes in kidney was screened with qRT-PCR. RESULTS: The uric acid in the model group was higher than that in the control group, and the levels of the uric acid were reduced after being treated with XZCBD; the differences among groups were significant (P<0.05). Compared with the control group, 32 kinds of microRNA expression changes were detected on the 15th day after being treated with high-dose XZCBD by microRNA expression profile screening. Among them, miR-34a could inhibit the expression of human urate anion exthanger 1, and miR-146a might have inhibited the inflammatory reaction. CONCLUSION: XZCBD could significantly reduce the serum uric acid level; its effect on hyperuricemia might be through affecting microRNA expressions.

Establishment of an exogenous LIF-free culture system for mouse embryonic stem cells.

Mouse embryonic stem cells (mESCs) have played a key role in the newly emerging fields of stem cell research. The traditional derivation and culture of mESCs have been based on the use of mouse embryonic fibroblasts (MEFs) treated with exogenous leukemia inhibitory factor (LIF). However, the rapid senescence of MEFs, coupled with the high cost of LIF, has significantly hampered the widespread use of mESCs in stem cell research. Thus, we present a novel exogenous LIF-free culture system for general mESCs applications, comprising fibroblast-like cells derived from the rabbit spleen (RSFs). We demonstrated that mESCs cultured on RSFs (mESCs-RSFs) maintained all mESC features after prolonged LIF-free culture, including alkaline phosphatase, cell surface markers (SSEA-1), molecular markers (OCT-4, NANOG, TERT, REX-1), karyotype, and pluripotency. The high expression level of both LIF and WNT3A in the RSFs may account for their ability to maintain mESCs without exogenous LIF. Moreover, this exogenous LIF-free culture system was verified to be of microbiological quality through analysis with electron transmission microscopy.

Single cell derived murine embryonic stem cell clones stably express Rex1-specific green fluorescent protein and their differentiation study.

Embryonic stem cells (ESCs) often display high rates of apoptosis and spontaneous differentiation in routine culture, thus bring the proliferation of these cells highly inefficient. Moreover, little is known about the factors that are indispensable for sustaining self-renewal. To surmount these issues, we established transgenic mES cell lines expressing the enhanced green fluorescent protein (EGFP) under the control of the Rex1 promoter which is a key regulator of pluripotency in ES cells. In addition, we provided a simplified and improved protocol to derive transgenic mESCs from single cell. Finally, we showed that embryoid body (EB) development was faster than adherent differentiation in terms of differentiation ratio by real-time tracking of the EGFP expression. Therefore, these cell lines can be tracked and selected both in vitro and in vivo and should be invaluable for studying the factors that are indispensable for maintaining pluripotency.