Microarray Expression Profile of Exosomal circRNAs from High Glucose Stimulated Human Renal Tubular Epithelial Cells.

Introduction: Circular RNA (circRNAs) are a type of non-coding RNA (ncRNAs) with a wealth of functions. Recently, circRNAs have been identified as important regulators of diabetic kidney disease (DKD), owing to their stability and enrichment in exosomes. However, the role of circRNAs in exosomes of tubular epithelial cells in DKD development has not been fully elucidated. Methods: In our study, microarray technology was used to analyze circRNA expression in cell supernatant exosomes isolated from HK-2 cells with or without high glucose (HG) treatment. The small interfering RNAs (siRNA) and plasmid overexpression were used to validate functions of differentially expressed circRNAs. Results: We found that exosome concentration was higher in HG-stimulated HK-2 cells than in controls. A total of 235 circRNAs were significantly increased and 458 circRNAs were significantly decreased in the exosomes of the HG group. In parallel with the microarray data, the qPCR results showed that the expression of circ_0009885, circ_0043753, and circ_0011760 increased, and the expression of circ_0032872, circ_0004716, and circ_0009445 decreased in the HG group. Rescue experiments showed that the effects of high glucose on regulation of CCL2, IL6, fibronetin, n cadherin, e cadherin and epcam expression can be reversed by inhibiting or overexpressing these circRNAs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) biological pathway analyses indicated that circRNA parental genes are associated with glucose metabolism, lipid metabolism, and inflammatory processes, which are important in DKD development. Further analysis of circRNA/miRNA interactions indicated that 152 differentially expressed circRNAs with fold change (FC) ≥1.5 could be paired with 43 differentially expressed miRNAs, which are associated with diabetes or DKD. Discussion: Our results indicate that exosomal circRNAs may be promising diagnostic and therapeutic biomarkers, and may play a critical role in the progression of DKD.

Inflammation-related nomogram for predicting survival of patients with unresectable hepatocellular carcinoma received conversion therapy.

BACKGROUND: The efficacy of conversion therapy for patients with unresectable hepatocellular carcinoma (HCC) is a common clinical concern. AIM: To analyse the prognostic factors of overall survival (OS) in patients with unresectable HCC who received conversion therapy. METHODS: One hundred and fifty patients who met the inclusion criteria were enrolled and divided into a training cohort (n = 120) and a validation cohort (n = 30). Using the independent risk factors in the training cohort, a nomogram model was constructed to predict OS for patients treated with transarterial chemoembolization following hepatic resection. The nomogram was internally validated with the bootstrapping method. The predictive performance of nomogram was assessed by Harrell's concordance index (C-index), calibration plot and time-dependent receiver operating characteristic curves and compared with six other conventional HCC staging systems. RESULTS: Multivariate Cox analysis identified that albumin, blood urea nitrogen, gamma-glutamyl transpeptidase to platelet ratio, platelet to lymphocyte ratio, macrovascular invasion and tumour number were the six independent prognostic factors correlated with OS in nomogram model. The C-index in the training cohort and validation cohort were 0.752 and 0.807 for predicting OS, which were higher than those of the six conventional HCC staging systems (0.563 to 0.715 for the training cohort and 0.458 to 0.571 for the validation cohort). The calibration plots showed good consistency between the nomogram prediction of OS and the actual observations of OS. Decision curve analyses indicated satisfactory clinical utility. With a total nomogram score of 196, patients were accurately classified into low-risk and high-risk groups. Furthermore, we have deployed the model into online calculators that can be accessed for free at https://ctmodelforunresectablehcc.shinyapps.io/DynNomapp/. CONCLUSION: The nomogram achieved optimal individualized prognostication of OS in HCC patients who received conversion therapy, which could be a useful clinical tool to help guide postoperative personalized interventions and prognosis judgement.

Identification of circRNAs involved in the development of hepatocellular carcinoma after insufficient radiofrequency ablation.

Previous studies have reported that circular RNAs (circRNAs) play a key role in the pathogenesis and progression of various diseases. In the present study, we aimed to identify potential circRNAs associated with the progression of hepatocellular carcinoma (HCC) after insufficient radiofrequency ablation (IRFA). A xenograft mouse IRFA model was initially established, and immunohistochemical staining (IHC) and polymerase chain reaction (PCR) were performed to confirm the expression of programmed cell death-ligand 1 (PD-L1) and vascular endothelial growth factor receptor-1 (VEGFR-1). CircRNA expression alterations were screened by next-generation sequencing (RNA-seq). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to predict the function of genes coding differentially expressed circRNAs. The selected circRNAs were validated utilizing PCR and Sanger sequencing. The relationships between circRNAs, microRNAs, PD-L1, and VEGFR-1 were predicted by bioinformatics. Overall, a total of 612 circRNAs were differentially expressed in IRFA-treated subcutaneous tumorigenesis tissue. Among them, 435 circRNAs were significantly upregulated and 177 circRNAs were downregulated. GO and KEGG analyses were employed to predict the functions of these circRNAs. Thereafter, quantitative reverse transcription PCR (qRT-PCR) assays determined that these seven circRNAs were overexpressed in the IRFA group, which was consistent with the RNA-seq results. Based on the bioinformatic analysis, seven circRNAs confirmed by Sanger sequencing were predicted to likely regulate PD-L1 and VEGFR-1 expression levels by functioning as sponges for microRNAs (miRNAs) and forming a circRNA-miRNA-PD-L1/VEGFR-1 regulatory network. Finally, IHC and qRT-PCR of PD-L1 and VEGFR-1 confirmed the activation of this pathway. Taken together, we report that differentially expressed circRNAs might simultaneously regulate PD-L1 and VEGFR-1 in the IRFA tissues, which provides a novel view of circRNAs in HCC progression after the IRFA procedure.

Increased interhemispheric functional connectivity in college students with non-clinical depressive symptoms in resting state.

The underlying neural basis of non-clinical depressive symptoms (nCDSs) remains unclear. Interhemispheric functional connectivity has been suggested as one of the most robust characteristics of brain's intrinsic functional architecture. Here, we investigated the functional connectivity between homotopic points in the brain using the voxel-mirrored homotopic connectivity (VMHC) approach. We performed VMHC analysis on resting-state functional magnetic resonance imaging (rs-fMRI) data from 17 individuals with nCDSs and 20 healthy controls (HCs) who were enrolled from a sample of 1105 college students. We found increased VMHCs in the bilateral posterior cerebellum and fusiform gyrus in nCDSs subjects compared with HCs. Furthermore, receiver operating characteristic (ROC) curves indicated that VMHC values in the posterior cerebellum lobes could use to differente nCDSs from HCs [area under the curve (AUC), 0.756; p<0.01]. We suggest increased VMHCs indicate a possible compensatory mechanism involved in the pathophysiology of nCDSs. VMHC values of the posterior cerebellum lobes might serve as a reliable biomarker for identifying nCDSs.

Differentiation of central lung cancer from atelectasis: comparison of diffusion-weighted MRI with PET/CT.

OBJECTIVE: Prospectively assess the performance of diffusion-weighted magnetic resonance imaging (DW-MRI) for differentiation of central lung cancer from atelectasis. MATERIALS AND METHODS: 38 consecutive lung cancer patients (26 males, 12 females; age range: 28-71 years; mean age: 49 years) who were referred for thoracic MR imaging examinations were enrolled. MR examinations were performed using a 1.5-T clinical scanner and scanning sequences of T1WI, T2WI, and DWI. Cancers and atelectasis were measured by mapping of the apparent diffusion coefficients (ADCs) obtained with a b-value of 500 s/mm(2). RESULTS: PET/CT and DW-MR allowed differentiation of tumor and atelectasis in all 38 cases, but T2WI did not allow differentiation in 9 cases. Comparison of conventional T2WI and DW-MRI indicated a higher contrast noise ratio of the central lung carcinoma than the atelectasis by DW-MRI. ADC maps indicated significantly lower mean ADC in the central lung carcinoma than in the atelectasis (1.83±0.58 vs. 2.90±0.26 mm(2)/s, p<0.0001). ADC values of small cell lung carcinoma were significantly greater than those from squamous cell carcinoma and adenocarcinoma (p<0.0001 for both). CONCLUSIONS: DW-MR imaging provides valuable information not obtained by conventional MR and may be useful for differentiation of central lung carcinoma from atelectasis. Future developments may allow DW-MR imaging to be used as an alternative to PET-CT in imaging of patients with lung cancer.

Deepgoing study on intrathoracic tuberculous lymphadenitis in adults using multidetector CT.

BACKGROUND: Studies on intrathoracic tuberculous lymphadenitis in adults are confined to the preliminary CT findings with ordinary CT and ordinary spiral CT. There has been no deepgoing study of multidetector CT to date. Multidetector CT could contribute to better imaging of intrathoracic tuberculous lymphadenitis in adults. The purpose of this study was to explore the multidetector CT features of intrathoracic tuberculous lymphadenitis in adults, and the correlation with clinical symptoms and pathologic changes. METHODS: Multidetector CT findings from 42 consecutive adult patients with intrathoracic tuberculous lymphadenitis were analyzed retrospectively with regard to locations, sizes, numbers, shapes, margins, and densities reviewing precontrast and enhanced images. CT results were correlated with clinical symptoms and pathologic results (n = 37). RESULTS: One hundred and eighty-five intrathoracic lymph nodes that had tuberculous lymphadenitis in 42 patients were distributed mainly in regions 4R (n = 37), 2R (n = 33), 7 (n = 31) and 10R (n = 21), more than 2 regions were implicated in 34 patients. One hundred and twenty-two (72.2%) of the tuberculous lymphadenitis without confluence were oval or round with clear margins. On precontrast scanning, 78.4% of tuberculous lymphadenitis had a homogeneous density. Seven enhancement patterns were demonstrated in 169 tuberculous lymphadenitis from 37 patients with pathologic results: homogeneous enhancement with no clinical symptom (n = 12), corresponded pathologically to tuberculous hyperplasia without caseous necrosis; heterogeneous enhancement with a small central no enhancement area, slight clinical symptoms (n = 22), tuberculous granulomas with a little caseous necroses; peripheral irregular thick wall enhancement with a central area with no enhancement, slight clinical symptoms (n = 52), tuberculous granulomas with some caseous necroses in the center; peripheral thin rim enhancement with a central area having no enhancement, moderate clinical symptoms (n = 36), a few tuberculous granulomas with a great quantity of caseous necroses in the center; peripheral irregular enhancement without central enhancement, extending outside the capsule, severe clinical symptoms (n = 4), caseous necroses ruptured from capsule; peripheral irregular rim enhancement with central separate enhancement, severe clinical symptoms (n = 40), multiple lymph nodes with liquefaction of caseous necroses were adherent and confluent, rim and separation were tuberculous granulomas; no obvious enhancement, severe clinical symptoms (n = 3). Caseous necrosis was usually associated with little tuberculous granulomas. CONCLUSIONS: The main multidetector CT features of intrathoracic tuberculous lymphadenitis in adults are involvement of multiregional lymph nodes with oval or round shape and clear margins, a basically homogeneous density on precontrast scanning, multiple enhancement patterns, and they correlate closely with clinical symptoms. Multidetector CT could reveal pathological changes of intrathoracic tuberculous lymphadenitis in adults.