Intracellular Staphylococcus aureus infection in human osteoblasts: circRNA expression analysis.

Staphylococcus aureus (S. aureus) has the ability to invade human cortical bones and cause intracellular infections in osteoblasts, which may lead to a long-term infection that is difficult to eliminate. It is critical to identify the underlying mechanisms of the osteoblast response to the intracellular S. aureus. More recently, multiple circular RNA (circRNA) functions have been identified, including serving as protein scaffolds or miRNA sponges and being translated into polypeptides. The role that circRNAs play in intracellular S. aureus infection of osteoblasts has not, to our knowledge, been investigated. Here, we established an intracellular infection model of S. aureus in osteoblasts and compared the circRNA expression of osteoblasts between the infected and control groups using RNA sequencing technology, by which a significant difference was found. In total, 117 upregulated and 125 down-regulated differentially expressed circRNAs (DEcircRNAs) were identified, and reverse transcription-quantitative PCR was employed to validate the results of RNA sequencing. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses demonstrated that DEcircRNAs were enriched in processes associated with macromolecule modification, cellular component organization or biogenesis, and intracellular non-membrane-bound organelles. Finally, a potentially important network of circRNA-miRNA-mRNA based on the DEcircRNAs was constructed. Overall, this study revealed the circRNA expression profile of human osteoblasts infected by intracellular S. aureus for the first time, and identified the circRNAs that may contribute to the pathogenesis of infectious diseases caused by intracellular S. aureus infection in human osteoblasts.

Molecular basis of Klebsiella pneumoniae colonization in host.

Klebsiella pneumoniae (K. pneumoniae) is a common cause of nosocomial infection, which causing disseminated infections such as cystitis, pneumonia and sepsis. K. pneumoniae is intrinsic resistant to penicillin, and members of the population usually have acquired resistance to a variety of antibiotics, which makes it a major threat to clinical and public health. Bacteria can colonize on or within the hosts, accompanied by growth and reproduction of the organisms, but no clinical symptoms are presented. As the "first step" of bacterial infection, colonization in the hosts is of great importance. Colonization of bacteria can last from days to years, with resolution influenced by immune response to the organism, competition at the site from other organisms and, sometimes, use of antimicrobials. Colonized pathogenic bacteria cause healthcare-associated infections at times of reduced host immunity, which is an important cause of clinical occurrence of postoperative complications and increased mortality in ICU patients. Though, K. pneumoniae is one of the most common conditional pathogens of hospital-acquired infections, the mechanisms of K. pneumoniae colonization in humans are not completely clear. In this review, we made a brief summary of the molecular basis of K. pneumoniae colonization in the upper respiratory tract and intestinal niche, and provided new insights for understanding the pathogenesis of K. pneumoniae.

Profile analysis of circRNAs in human THP-1 derived macrophages infected with intracellular Staphylococcus aureus.

BACKGROUND: Intracellular Staphylococcus aureus (S. aureus) infection is generally persistent, recurrent and difficult to treat due to the poor availability of antibiotics within macrophages cells and the lack of ideal diagnostic markers. Circular RNAs (circRNAs), with covalently closed circular structures, exists in the serum stably and is not easily degraded by nucleases. Besides, circRNAs play a pivotal in the eukaryotic regulation of genes expression and served as biomarkers in variety disease including microbial infections. However, the function of host circRNAs in intracellular S. aureus infection remains largely unclear. METHODS: In this study, the circRNAs expression profile was investigated by RNA sequencing technology in both S. aureus-infected THP-1 derived macrophages and mock control cells. The differentially expressed circRNAs (DE circRNAs) with a fold-change >1.5 (p < 0.05) are analyzed using functional pathway clustering prediction. Then, RT-qPCR was performed to verify the top 2 up-regulated circRNAs in the THP-1 cell and human serum samples so as to evaluate the value of circRNAs for S. aureus diagnosis. RESULTS: An intracellular survival THP-1 derived macrophages model of S. aureus infection was established. A total of 5,299 circRNAs were identified in human THP-1 derived macrophages infected with intracellular S. aureus. There were 61 DE circRNAs with a fold-change >1.5 (p < 0.05) after S. aureus infection. Among them, 22 circRNAs were up-regulated while 39 circRNAs down-regulated. GO and KEGG pathway analysis demonstrated that DE circRNAs were enriched in the processes such as Neurotrophin, Pyruvate metabolism and Notch signaling pathway. Moreover, hsa_circ_0000311 and chr13:43500472-43544806-(novel) were verified to be significantly upregulated in THP-1 derived macrophages and human serum samples between two groups. Finally, the networks of circRNA-miRNA-mRNA based on these two circRNAs were constructed respectively. CONCLUSION: Our study provides the first profile analysis of host circRNAs involved in intracellular S. aureus infection, which may serve as biomarkers for S. aureus diagnosis and contribute to the understanding of S. aureus evasion mechanisms.

Identification of key serum biomarkers for the diagnosis and metastatic prediction of osteosarcoma by analysis of immune cell infiltration.

BACKGROUND: The role of circular RNAs (circRNAs) and microRNAs (miRNAs) in osteosarcoma (OS) development has not been fully elucidated. Further, the contribution of the immune response to OS progression is not well defined. However, it is known that circRNAs and miRNAs can serve as biomarkers for the diagnosis, prognosis, and therapy of many cancers. Thus, the aim of this study was to identify novel key serum biomarkers for the diagnosis and metastatic prediction of OS by analysis of immune cell infiltration and associated RNA molecules. METHODS: Human OS differentially expressed circRNAs (DEcircRNAs), differentially expressed miRNAs (DEmiRNAs), and differentially expressed mRNAs (DEmRNAs) were identified by analysis of microarray data downloaded from Gene Expression Omnibus (GEO) datasets. Further, characteristic patterns of OS-infiltrating immune cells were analyzed. On this basis, we identified statistically significant transcription factors. Moreover we performed pathway enrichment analysis, constructed protein-protein interaction networks, and devised competitive endogenous RNA (ceRNA) networks. Biological targets of the ceRNA networks were evaluated and potential OS biomarkers confirmed by RT-qPCR analysis of the patients' serum. RESULTS: Seven differentially expressed circRNAs, 166 differentially expressed miRNAs, and 175 differentially expressed mRNAs were identified. An evaluation of cellular OS infiltration identified the highest level of infiltration by M0 macrophages, M2 macrophages, and CD8+ T cells, with M0 macrophages and CD8+ T cells as the most prominent. Significant patterns of tumor-infiltrating immune cells were identified by principal component analysis. Moreover, 185 statistically significant transcription factors were associated with OS. Further, in association with immune cell infiltration, hsa-circ-0010220, hsa-miR-326, hsa-miR-338-3p, and FAM98A were identified as potential novel biomarkers for OS diagnosis. Of these, FAM98A had the most promise as a diagnostic marker for OS and OS metastasis. Most importantly, a novel diagnostic model consisting of these four biomarkers (hsa-circ-0010220, hsa-miR-326, hsa-miR-338-3p, and FAM98A) was established with a 0.928 AUC value. CONCLUSIONS: In summary, potential serum biomarkers for OS diagnosis and metastatic prediction were identified based on an analysis of immune cell infiltration. A novel diagnostic model consisting of these four promising serum biomarkers was established. Taken together, the results of this study provide a new perspective by which to understand immunotherapy of OS.

Identification of the miRNA signature and key genes in colorectal cancer lymph node metastasis.

BACKGROUND: Because its metastasis to the lymph nodes are closely related to poor prognosis, miRNAs and mRNAs can serve as biomarkers for the diagnosis, prognosis, and therapy of colorectal cancer (CRC). This study aimed to identify novel gene signatures in the lymph node metastasis of CRC. METHODS: GSE56350, GSE70574, and GSE95109 datasets were downloaded from the Gene Expression Omnibus (GEO) database, while data from 569 colorectal cancer cases were also downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed miRNAs (DE-miRNAs) were calculated using R programming language (Version 3.6.3), while gene ontology and enrichment analysis of target mRNAs were performed using FunRich ( http://www.funrich.org ). Furthermore, the mRNA-miRNA network was constructed using Cytoscape software (Version 3.8.0). Gene expression levels were verified using the GEO datasets. Similarly, quantitative real-time PCR (qPCR) was used to examine expression profiles from 20 paired non-metastatic and metastatic lymph node tissue samples obtained from patients with CRC. RESULTS: In total, five DE-miRNAs were selected, and 34 mRNAs were identified after filtering the results. Moreover, two key miRNAs (hsa-miR-99a, hsa-miR-100) and one gene (heparan sulfate-glucosamine 3-sulfotransferase 2 [HS3ST2]) were identified. The GEO datasets analysis and qPCR results showed that the expression of key miRNA and genes were consistent with that obtained from the bioinformatic analysis. A novel miRNA-mRNA network capable of predicting the prognosis and confirmed experimentally, hsa-miR-99a-HS3ST2-hsa-miR-100, was found after expression analysis in metastasized lymph node tissue from CRC samples. CONCLUSION: In summary, miRNAs and genes with potential as biomarkers were found and a novel miRNA-mRNA network was established for CRC lymph node metastasis by systematic bioinformatic analysis and experimental validation. This network may be used as a potential biomarker in the development of lymph node metastatic CRC.