The P2Y1 receptor in the colonic myenteric plexus of rats and its correlation with opioid-induced constipation.

This study was designed to explore the expression changes of P2Y1 receptors in the distal colonic myenteric layer of rats. An opioid induced constipation(OIC) rat model was generated by intraperitoneal (i.p) injection of loperamide. At 7 days post-treatment, the model rats were assessed by calculating the fecal water content and the gastrointestinal transit ratio. The immunofluorescence (IF)-based histochemical study was used to observe the distribution of P2Y1 receptors in the distal colonic myenteric plexus. Western blotting (WB) was performed to evaluate the expression changes of P2Y1 proteins in the myenteric layer, and the electrophysiological approaches were carried out to determine the regulatory roles of P2Y1 receptors on distal colonic motor function. IF showed that P2Y1 receptors are co-expressed MOR in the enteric nerve cells of the distal colonic myenteric plexus. Moreover, the WB revealed that the protein levels of P2Y1 were significantly decreased in the distal colonic myenteric layer of OIC rats. In vitro tension experiments exhibited that the P2Y1 receptor antagonist MRS2500 enhanced the spontaneous contraction amplitude, adding EM2 and ß-FNA did not have any effect on MRS2500. Therefore, P2Y1 receptor expression could be associated with the occurrence of OIC in this rat model and the regulation of colonic motility by MOR may be related to the release of purine neurotransmitters such as ATP in the colonic nervous system.

P2Y1 receptor in the colonic submucosa of rats and its association with opioid­induced constipation.

The aim of the present study was to explore the expression changes of P2Y purinergic receptor 1 (P2Y1) in the distal colonic submucosa of opioid-induced constipation (OIC) rats and its association with the occurrence of OIC, an OIC rat model was generated by intraperitoneal injection of loperamide hydrochloride, a selective agonist of µ-opioid receptors (MORs). At 7 days post-treatment, the model was assessed by analyzing stool scores and calculating the gastrointestinal (GI) transit ratio of rats. The distribution of P2Y1-expressing neurons in the colonic submucosal plexus was demonstrated by immunofluorescence (IF). Western blotting was performed to evaluate the expression changes of MOR, P2Y1 and ATP synthase subunit ß (ATPB) proteins in the colonic submucosa, while reverse transcription-quantitative PCR (RT-qPCR) analysis was performed to determine the relative mRNA expression of MOR and P2Y1. After 7 days, the feces of OIC rats exhibited an appearance of sausage-shaped pieces and both the stool weight and GI transit ratio of OIC rats were significantly decreased. IF revealed co-expression of P2Y1 and calbindin and MOR and ATPB in the nerve cells of the distal colonic submucosal plexus. Moreover, RT-qPCR analysis showed that the MOR mRNA levels were significantly increased in the distal colonic submucosa of OIC rats, while mRNA levels of P2Y1 were decreased. WB showed that in the distal colonic submucosa of OIC rats, MOR protein expression was increased, whereas that of P2Y1 was significantly decreased. GI transit ratio analysis suggested that the P2Y agonist ATP significantly relieved constipation symptoms in rats, while the P2Y inhibitor MRS2179 aggravated these symptoms. Finally, P2Y1 expression change was shown to be associated with the occurrence of OIC, while expression of MOR and P2Y1 was associated with OIC development in rats.

Pathophysiology and system biology of rat c-BSA induced immune complex glomerulonephritis and pathway comparison with human gene sequencing data.

Immune-complex glomerulonephritis (ICGN) is a major cause of nephrotic syndrome in adults and children. Cationic BSA (c-BSA) intravenous injection could produce significant albuminuria within a short time, and is a suitable in vivo experimental animal model to investigate the pathophysiology of ICGN and for drug screening, but lack of thorough study to clarify its dynamic pathophysiological alteration so far, as well as detailed changes in mRNA and LncRNA levels. The purpose of this study is to investigate the dynamic alteration in renal function, lipid metabolism and histopathology during the progress of c-BSA induced ICGN. RNA sequencing was used to identified differentially expressed mRNA and LncRNA in kidney cortex of ICGN. Results demonstrated that c-BSA induced ICGN model could completely exhibit clinical features of immune-mediated nephrotic syndrome with gradual declining renal function, and increased albuminuria and deteriorated histopathological injuries. The correlation analysis suggested that complement activation was the most key element in mediating of ICGN. RNA sequencing using rat kidney tissues combined with Gene Expression Omnibus (GEO) data of human glomerulonephritis showed the most enriched KEGG pathways in ICGN were Toll-like receptor signaling pathway, B cell receptor and Focal adhesion. The differential lncRNAs in ICGN rats were also screened, and the lncRNA-mRNA co-expression network was constructed to clarify lncRNA role in molecular mechanism of ICGN progression. Their human homogenous lncRNAs were also identified, such as ST3GAL5-AS1 and DIO3OS, which provide the potential lncRNA targets to treat ICGN. All the differential LncRNAs in ICGN kidneys caused by MMF were also identified and provided another possible pharmacological mechanism of MMF through lncRNA regulation. In summary, the current study firstly described the dynamic physiological changes of c-BSA induced ICGN, identified most key KEGG pathways, and provided lncRNA-mRNA regulatory network in ICGN.

Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.

BACKGROUND: Though considerable efforts have been made to improve the treatment of epithelial ovarian cancer (EOC), the prognosis of patients has remained poor. Identifying differentially expressed genes (DEGs) involved in EOC progression and exploiting them as novel biomarkers or therapeutic targets is of great value. METHODS: Overlapping DEGs were screened out from three independent gene expression omnibus (GEO) datasets and were subjected to Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses. The protein-protein interactions (PPI) network of DEGs was constructed based on the STRING database. The expression of hub genes was validated in GEPIA and GEO. The relationship of hub genes expression with tumor stage and overall survival and progression-free survival of EOC patients was investigated using the cancer genome atlas data. RESULTS: A total of 306 DEGs were identified, including 265 up-regulated and 41 down-regulated. Through PPI network analysis, the top 20 genes were screened out, among which 4 hub genes, which were not researched in depth so far, were selected after literature retrieval, including CDC45, CDCA5, KIF4A, ESPL1. The four genes were up-regulated in EOC tissues compared with normal tissues, but their expression decreased gradually with the continuous progression of EOC. Survival curves illustrated that patients with a lower level of CDCA5 and ESPL1 had better overall survival and progression-free survival statistically. CONCLUSION: Two hub genes, CDCA5 and ESPL1, identified as probably playing tumor-promotive roles, have great potential to be utilized as novel therapeutic targets for EOC treatment.

Identification of the Novel Target Genes for Osteosarcoma Therapy Based on Comprehensive Bioinformatic Analysis.

Osteosarcoma is one of the most common primary malignant tumors of the bone and tends to develop in teenage years. Although multitreatments for the diagnosis and therapy of osteosarcoma have been developed, there are still needs of new methods to prevent and treat the osteosarcoma. Here, we performed bioinformatic analysis to screen for the key genes, molecules, and pathways involved in osteosarcoma survival. Four microarray data sets (GSE99671, GSE87624, GSE65071, and GSE28423), which include data from human bone and osteosarcoma samples, were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed mRNAs and miRNAs were identified. Kyoto Encyclopedia of Genes and Genomes enriched pathways, miRNA-mRNA target, gene/disease relationship, and overall survival was elucidated using related websites and software according to bioinformatic analysis protocols. We found three critical genes miR-29c, blood vessel epicardial substance (BVES), and proteasome 20S subunit beta 2 (PSMB2) through the GEO database and predicting miRNA-mRNA target. Among these genes, BVES and PSMB2 presented a high expression level in osteosarcoma based on GSE99671 and GSE87624 data sets, while miR-29c showed a low expression level in osteosarcoma based on GSE65071 and GSE28423 data sets. Furthermore, we found that the high expression level of miR-29c and BVES associated with better prognosis, while highly expressed PSMB2 associated with poor prognosis. The abnormally expressed mRNAs and miRNAs, which were identified by integrated bioinformatic analysis, provided insights into the molecular mechanisms of osteosarcoma. Notably, we found three critical genes that could be used as novel therapeutic targets for preventing or diagnosing osteosarcoma. Finally, PSMB2 may be the target of miR-29c.

Transcriptome-wide Sequencing Reveals Molecules and Pathways Involved in Neurofibromatosis Type I Combined With Spinal Deformities.

MINI: We identified differentially expressed genes (DEGs) that may be involved in the development of neurofibromatosis type I by whole-transcriptional sequencing. Seven hundred eighty DEGs were identified which include protein coding genes, miRNAs, and lncRNAs. The enrichment analysis may reveal pathways that these DEGs involved. A total of 383 protein-pairs for DEGs may unfold the possible mechanism how the disease is developed. STUDY DESIGN: This is a clinical basic study on neurofibromatosis type I (NF-1) with spinal deformity. OBJECTIVE: The current research focuses on screening key molecules affecting NF-1 with spinal deformity by transcriptome sequencing and discovering its underlying molecular biological mechanisms. SUMMARY OF BACKGROUND DATA: NF-1 is a complex multisystem human disorder, which is often found in spinal deformities patients. The success rate of orthopedic surgery for neurofibromatosis type I combined with spinal deformities patients was low because of the lack of molecular pathology. METHODS: In our study, the transcriptome-wide sequencing was preformed to identify the differentially expressed genes (DEGs) involved in this disease. RESULTS: Seven hundred eighty DEGs were identified which include protein coding genes, miRNAs, and lncRNAs. The DO, GO, KEGG and Reactome enrichment analysis may reveal pathways that these DEGs involved. And the 383 protein-pairs for DEGs that are involved in NF-1 combined with spinal deformities may unfold the possible mechanism how this disease is developed. CONCLUSION: The differentially expressed miRNAs and lncRNAs may contribute the ceRNA network. We focused on three key DEGs: FGFR2, MAP3K1 and STAT4. FGFR2 and MAP3K1 are members of the RAS/RAF/MEK/ERK-signaling pathway, and STAT4 were involved in the JAK/STAT pathway. The expression changes were verified by other researches and the functional cross-talk between the Ras/MAPK and JAK/STAT pathways may contribute in the disease development. This study took insight of the molecular mechanism of this disease. More detailed interactions between these factors are needed to be further explored. These key DEGs and involved pathways may provide clues in the clinical process for patients with NF-1, especially in prognosis prediction. LEVEL OF EVIDENCE: N/A.

This is a clinical basic study on neurofibromatosis type I (NF-1) with spinal deformity. The current research focuses on screening key molecules affecting NF-1 with spinal deformity by transcriptome sequencing and discovering its underlying molecular biological mechanisms. NF-1 is a complex multisystem human disorder, which is often found in spinal deformities patients. The success rate of orthopedic surgery for neurofibromatosis type I combined with spinal deformities patients was low because of the lack of molecular pathology. In our study, the transcriptome-wide sequencing was preformed to identify the differentially expressed genes (DEGs) involved in this disease. Seven hundred eighty DEGs were identified which include protein coding genes, miRNAs, and lncRNAs. The DO, GO, KEGG and Reactome enrichment analysis may reveal pathways that these DEGs involved. And the 383 protein-pairs for DEGs that are involved in NF-1 combined with spinal deformities may unfold the possible mechanism how this disease is developed. The differentially expressed miRNAs and lncRNAs may contribute the ceRNA network. We focused on three key DEGs: FGFR2, MAP3K1 and STAT4. FGFR2 and MAP3K1 are members of the RAS/RAF/MEK/ERK-signaling pathway, and STAT4 were involved in the JAK/STAT pathway. The expression changes were verified by other researches and the functional cross-talk between the Ras/MAPK and JAK/STAT pathways may contribute in the disease development. This study took insight of the molecular mechanism of this disease. More detailed interactions between these factors are needed to be further explored. These key DEGs and involved pathways may provide clues in the clinical process for patients with NF-1, especially in prognosis prediction. Level of Evidence: N/A.

Prognostic roles of MAGE family members in breast cancer based on KM-Plotter Data.

Breast cancer is the second leading cause of cancer-associated mortality among women worldwide, and the prevalence and mortality rates associated with this disease are high in Western countries. The melanoma-associated antigen (MAGE) family proteins are well-known tumor-specific antigens; this family includes >60 proteins that serve an important part in cell cycle withdrawal, neuronal differentiation and apoptosis. The aim of the present study was to identify a biomarker within the MAGE family that is specific for breast cancer. In the present study, the prognostic role of MAGE mRNA expression was investigated in patients with breast cancer using the Kaplan-Meier plotter database. The prognostic value of MAGE members in the different intrinsic subtypes of breast cancer was further investigated, as well as the clinicopathological features of the disease. The results of the present study indicated that patients with breast cancer that had high mRNA expression levels of MAGEA5, MAGEA8, MAGEB4 and MAGEB6 had an improved relapse-free survival, whereas those with high mRNA expression levels of MAGEB18 and MAGED4 did not. These results suggested that MAGEA5, MAGEA8, MAGEB4 and MAGEB6 may have roles as tumor suppressors in the occurrence and development of breast cancer, whereas MAGEB18 and MAGED4 may possess carcinogenic potential. MAGED2, MAGED3 and MAGEF1 had different effects depending on the type of breast cancer. In particular, high MAGEC3 mRNA expression was associated with worse RFS in lymph node-positive breast cancer, but with improved RFS in lymph node-negative breast cancer. In patients with wild-type TP53 and patients with different pathological grades of breast cancer, MAGEE2, MAGEH1 and MAGEL2 were more worthy of attention as potential prognostic factors. The results of the present study may help to elucidate the role of MAGE family members in the development of breast cancer, and may promote further research that identifies MAGE-targeting reagents for the treatment of breast cancer.

Identification of LCN1 as a Potential Biomarker for Breast Cancer by Bioinformatic Analysis.

The biological functions of lipocalin-1 (LCN1) are involved in innate immune responses and act as a physiological scavenger of potentially harmful lipophilic molecules. However, the relevance of LCN1 with cancer is rarely concerned currently. The aim of this study is to address the relevance of LCN1 with BRCA by bioinformatics. In this study, we found that the expressions of LCN1 increased significantly in various cancerous tissues, including BRCA, compared with their adjacent normal tissues through the TIMER database. Furthermore, UALCAN database analysis showed that the expression of LCN1 increased gradually from stage 1 to stage 4 and was upregulated in BRCA patients with different races and subtypes compared with that in the normal. In addition, those patients with perimenopause and postmenopause status displayed higher LCN1 expression. Importantly, LCN1 genetic alterations, including copy number amplification, deep deletion, and missense mutation, could be found, and the alteration frequency showed difference in various invasive BRCA through cBioPortal database. Moreover, a positive correlation between LCN1 somatic copy number alterations and immune cell enrichments was revealed in basal like BRCA by GISTIC 2.0. Finally, analysis on prognostic value of LCN1 by Kaplan-Meier plotter showed that low LCN1 expression correlated with poor prognosis for relapse-free survival in all types of BRCA, overall survival in luminal B BRCA, distant metastasis free survival in human epithelial growth factor receptor-2 (HER2) positive BRCA, and postprogression survival (PPS) in luminal A BRCA. But high LCN1 expression also displayed poor prognosis for PPS in HER2 positive BRCA. The results together verified the significance of LCN1 in BRCA, suggesting that it may be a potential biomarker for BRCA diagnosis.

miR-93-5p may be an important oncogene in prostate cancer by bioinformatics analysis.

INTRODUCTION: Prostate adenocarcinoma is one of the most prevalent causes of cancer-related deaths in males worldwide. However, the underlying mechanisms remain poorly understood. Hence, it is important to identify specific and effective therapeutic targets, to be able to determine appropriate therapy and management. So, this study aimed to predict that miR-93-5p is an important oncogene in prostate cancer by bioinformatics analysis. METHODS: In this study, initially we identified differentially expressed genes (DEGs) and differently expressed miRNAs (DEMs) in the The Cancer Genome Atlas (TCGA) database, performed Gene Ontology (GO) and pathway enrichment analysis, then investigated the relationship between DEGs and DEMs, and finally through consulting the literature and retrieving the database, we found that miR-93-5p may play a major role in prostate cancer, so we predicted the expression and survival of miR-93-5p and its isomers by bioinformatics analysis, meanwhile, evaluated the function of miR-93-5p in vitro. RESULTS: In total, 104 DEMs were differently expressed between prostate cancer and normal samples, including 56 downregulated ones and 48 upregulated ones; miR-93-5p (upregulated) was identified as a good biomarker. And 1904 DEGs were retrieved, including 794 downregulated ones and 1110 upregulated ones. We also obtained 1254 DEGs of the DEMs. In GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, the significantly enriched pathways involved pathway in focal adhesion, vascular smooth muscle contraction, and regulation of actin cytoskeleton. By the KEGG pathway, we got 16 target genes and 92 pathways of the miR-93-5p in prostate cancer. We also found that the miR-93-5p and its isomers can express in prostate cancer, and which with a high expression had a poor overall survival and a significant difference recurrence rate within 5 years. Further in vitro verification results demonstrated that the low expression of miR-93-5p can inhibit cell proliferation, migration, invasion, change cell cycle, and promote early apoptosis of PC-3 cells. CONCLUSION: The miR-93-5p and its target genes were used to define important molecular targets that could serve as a prognostic and predictive marker in the treatment of prostate cancer. Further research on the function of the miR-93-5p and its target genes in the KEGG pathway could provide references for the treatment of prostate cancer.