miRNAs in circulating extracellular vesicles (EVs) are promising biomarkers for cancer. However, their diagnostic ability for early‐stage non‐small‐cell lung cancer (NSCLC) is not well known. In this study, the circulating EV miRNAs profiling was initially performed in 36 untreated NSCLC patients and 36 healthy controls by TaqMan Low Density Array (TLDA). Subsequently, we performed quantitative reverse‐transcription PCR assay (RT‐qPCR) validation in several independent cohorts that included 159 NSCLC patients, 120 age/sex‐matched healthy controls and 31 benign nodule patients enrolled from three different clinical centres. In addition, 38 cases of NSCLC were analysed before and after surgery. We demonstrated that miR‐520c‐3p and miR‐1274b were significantly and steadily increased in NSCLC patients in comparison with healthy controls and benign nodule patients (P < 0.001) and decreased markedly after tumour resection (P < 0.001). The areas under the curve (AUCs) of the ROC curve of the two‐miRNA panel were 0.857 (95% CI, 0813–0.901; P < 0.0001) and 0.845 (95% CI, 0.793–0.896; P < 0.0001) for NSCLC and NSCLC stage I, respectively. Furthermore, the panel was able to differentiate NSCLC from benign nodules with an AUC of 0.823 (95% CI, 0.730–0.915; P < 0.0001). Furthermore, logistic regression analysis revealed the two‐miRNA panel as an independent risk factor for NSCLC (OR = 16.128, P < 0.0001). In conclusion, miR‐520c‐3p and miR‐1274b have biomarker potential for early diagnosis of NSCLC in multiple centres.
Background: MicroRNAs (miRNAs), a subset of small non-coding RNA molecules, play crucial roles in various pathophysiological processes. Studies increasingly indicate that dysregulated miRNAs are associated with bacterial infection. Nevertheless, little is known about miRNAs that respond to Brucella infection and their potential clinical value. Our research aimed to identify the serum miRNAs altered during Brucella infection. Methods: We enrolled serum samples from 73 patients diagnosed with brucellosis and 65 age-and sexmatched control individuals. Illumina sequencing via synthesis (SBS) technology was performed for an initial screen of miRNAs expression profile in serum samples pooled from 29 patients and 29 controls, respectively. A quantitative real-time polymerase chain reaction (qRT-PCR) assay was conducted in the training and validation sets to confirm the concentrations of differentially expressed miRNAs in individual serum samples from 73 patients and 65 controls.Results: The Illumina SBS technology identified 1,372 known miRNAs and 1,893 novel miRNAs in brucellosis patients. The three markedly upregulated miRNAs (miR-15a-3p, miR-7-2-3p, miR-103b) in brucellosis patients were subsequently validated by qRT-PCR assay, of which miR-103b was confirmed to be significantly and steadily increased in the brucellosis patients compared with the controls (>2-fold, P<0.001).The area under the receiver operating characteristic (ROC) curve (AUC) for miR-103b was 0.714 (95% CI, 0.624-0.804). Bioinformatics analysis predicted that some putative target genes of miR-103b are involved in immune regulation or the processes of apoptosis and autophagy in humans. Conclusions:The serum miR-103b level markedly increases after Brucella infection and has the potential to serve as an auxiliary diagnostic indicator for Brucella infection that deserves further investigation.
Background Human cytomegalovirus (HCMV) is a beta-hersvirinae that has a high latent infection rate worldwide and can cause serious consequences in immunocompromised patients when reactivation; however, the mechanism of how HCMV convert from latent to reactivation has rarely been investigated. In the present study, we aimed to perform a comprehensive analysis of the HCMV-encoded microRNA (miRNA) profile in serum of patients upon HCMV reactivation from latency and to further evaluate its clinical significance for the disease monitoring and preventing usefulness. Methods Serum samples from 59 viremia patients and 60 age-gender matched controls were enrolled in this study for screening and validation of different expression of HCMV miRNAs. Serum concentrations of 22 known HCMV miRNAs were determined by a hydrolysis probe-based stem-loop quantitative reverse transcription polymerase chain reaction (RT-qPCR) assay. HCMV DNA was measured by quantitative real-time PCR (qPCR) with the whole blood sample. Serum HCMV IgG and IgM were assessed using enzyme linked immunosorbent assay (ELISA). Another 47 samples from 5 patients at different time points were collected to evaluate the monitoring effectiveness and disease prediction ability of differential expression HCMV-miRNAs during the antiviral treatment. Results The RT-qPCR analysis revealed that the serum levels of 16 of the 22 examined HCMV miRNAs were elevated in HCMV viremia patients compared with controls, and a profile of 8 HCMV miRNAs including hcmv-miR-US25-2-3p, hcmv-miR-US4-5p, hcmv-miR-US25-2-5p, hcmv-miR-US25-1-3p, hcmv-miR-US25-1, hcmv-miR-UL36, hcmv-miR-UL148D, hcmv-miR-US29-3p were markedly elevated (fold change > 2, P < 0.01). Receiver operating characteristic curve (ROC) analysis were performed on the selected HCMV-miRNAs in all of the patients and controls that enrolled in this study, and which ranged from 0.72 to 0.80 in the autoimmune patients. In addition, hcmv-miR-US25-1-3p levels were significantly correlated with HCMV DNA load (r = 0.349, P = 0.007), and were obviously higher in the reactivation set than the latency set in the autoimmune patients, which could be a predictor for the monitoring of the antiviral treatment. Conclusions HCMV miRNAs profile showed markedly shift-switch from latency to reactivation in circulation from HCMV infected patients and hcmv-miR-US25-1-3p may be served as a predictor for the switch upon reactivation from latency in patients suffered with autoimmune diseases.
Reconfigurable Intelligent Surface (RIS) can intelligently control the wireless propagation environment by adjusting the signal phase and amplitude in real time, which is considered as one of the key technologies of 6G. Although RIS-assisted wireless communication systems greatly improve transmission efficiency under ideal conditions, there are various uncertainties in actual communication systems. In this paper, RIS-assisted communication system is investigated where the RIS cannot completely eliminate the phase error and the user location is randomly distributed with uncertainty. In addition, there are some interference sources around the user, which are simplified as co-channel interference (CCI). Then we study the performance of RIS-assisted communication system, and derive the closed-form expressions for the outage probability (OP) and channel capacity of the system. Furthermore, we analyze the effects of various parameters on the OP and channel capacity. Finally Monte Carlo simulation is carried out which verify the accuracy of the derivation.INDEX TERMS Reconfigurable intelligent surface, Co-channel interference, Outage probability, Channel capacity.
Background: Human cytomegalovirus (HCMV) is a beta-hersvirinae that has a high latent infection rate worldwide and can cause serious consequences in immunocompromised patients when reactivation; however, the mechanism of how HCMV convert from latent to reactivation has rarely been investigated. In the present study, we aimed to perform a comprehensive analysis of the HCMV-encoded microRNA (miRNA) profile in serum of patients upon HCMV reactivation from latency and to further evaluate its clinical significance for the disease monitoring and preventing usefulness.Methods: Serum samples from 60 viremia patients and 60 age-gender matched controls were enrolled in this study for screening and validation of different expression of HCMV miRNAs. Serum concentrations of 22 known HCMV miRNAs were determined by a hydrolysis probe-based stem-loop quantitative reverse transcription polymerase chain reaction (RT-qPCR) assay. HCMV DNA was measured by quantitative real-time PCR (qPCR) with the whole blood sample. Serum HCMV IgG and IgM were assessed using enzyme linked immunosorbent assay (ELISA). Another 47 samples from 5 patients at different time points were collected to evaluate the monitoring effectiveness and disease prediction ability of differential expression HCMV-miRNAs during the antiviral treatment. Results: The RT-qPCR analysis revealed that the serum levels of 16 of the 22 examined HCMV miRNAs were elevated in HCMV viremia patients compared with controls, and a profile of 8 HCMV miRNAs including hcmv-miR-US25-2-3p, hcmv-miR-US4-5p, hcmv-miR-US25-2-5p, hcmv-miR-US25-1-3p, hcmv-miR-US25-1, hcmv-miR-UL36, hcmv-miR-UL148D, hcmv-miR-US29-3p were markedly elevated (fold change > 2, P < 0.01). Receiver operating characteristic curve (ROC) analysis were performed on the selected HCMV-miRNAs in all of the patients and controls that enrolled in this study, and which ranged from 0.74 to 0.79 in the autoimmune patients. In addition, hcmv-miR-US25-1-3p levels were significantly correlated with HCMV DNA copies (r = 0.297,P = 0.022), and were obviously higher in the reactivation set than the latency set in the autoimmune patients, which could be a predictor for the monitoring of the antiviral treatment.Conclusions: HCMV miRNAs profile showed markedly shift-switch from latency to reactivation in circulation from HCMV infected patients and hcmv-miR-US25-1-3p may be served as a predictor for the switch upon reactivation from latency in patients suffered with autoimmune diseases.
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