Serum miRNA Expression Profiles Research Articles

Comparison of serum microRNA in healthy horses and horses with moderate to severe mitral valve regurgitation using a commercially available canine cardiac panel.

MicroRNA (miRNA) has previously been used as a biomarker for cardiac disease in humans and dogs, however, studies in horses are not yet available. To determine if adult horses with moderate or severe mitral valve regurgitation have a different serum miRNA expression profile compared to healthy controls. Retrospective cross-sectional. Serum samples from 77 adult horses with moderate or severe mitral valve regurgitation and 77 healthy control horses were analysed using a commercial cardiac disease-specific miRNA panel previously used in dogs. The commercial canine cardiac miRNA panel had low discriminatory power as a biomarker for mitral valve regurgitation in adult horses. Sensitivity was 0.58 (95% Cl: 0.47-0.69) and specificity 0.57 (95% Cl: 0.46-0.68). Clinical data were extracted retrospectively and currently there is no well-established criteria for grading mitral regurgitation in horses; there were few severe mitral regurgitation cases and the pathogenesis of mitral regurgitation was not considered. Controls were not matched by age, breed or sex. An assay developed for use in dogs was used. Despite strong miRNA conservation across species, the commercially available canine cardiac miRNA panel failed as biomarker for mitral valve regurgitation in adult horses. Further research is needed to determine if an equine specific panel can be developed that performs better as biomarker for cardiac disease in horses.

Constructing diagnostic signature of serum microRNAs using machine learning for early pan-cancer detection

BackgroundCancer is a major public health concern and the second leading cause of death worldwide. Various studies have reported the use of serum microRNAs (miRNAs) as non-invasive biomarkers for cancer detection. However, large-scale pan-cancer studies based on serum miRNAs have been relatively scarce.MethodsAn optimized machine learning workflow, combining least absolute shrinkage and selection operator (LASSO) analyses, recursive feature elimination (RFE), and fourteen kinds of machine learning algorithms, was use to screen out candidate miRNAs from 2540 serum miRNAs and constructed a potent diagnostic signature (Cancer-related Serum miRNA Signatures) for pan-cancer detection, based on a serum miRNA expression dataset of 38,223 samples.ResultCancer-related Serum miRNA Signatures performed well in pan-cancer detection with an area under curve (AUC) of 0.999, 94.51% sensitivity, and 99.49% specificity in the external validation cohort, and represented an acceptable diagnostic performance for identifying early-stage tumors. Furthermore, the ability of multi-classification of tumors by serum miRNAs in pancreatic, colorectal, and biliary tract cancers was lower than that in other cancers, which showed accuracies of 59%, 58.5%, and 28.9%, respectively, indicating that the difference in serum miRNA expression profiles among a small number of tumor subtypes was not as significant as that between cancer samples and non-cancer controls.ConclusionWe have developed a serum miRNA signature using machine learning that may be a cost-effective risk tool for pan-cancer detection. Our findings will benefit not only the predictive diagnosis of cancer but also a preventive and more personalized screening plan.

Circulating serum miR-362-3p and miR-6721-5p as potential biomarkers for classification patients with adult-type diffuse glioma.

According to the fifth edition of the WHO Classification of Tumours of the Central Nervous System (CNS) published in 2021, grade 4 gliomas classification includes IDH-mutant astrocytomas and wild-type IDH glioblastomas. Unfortunately, despite precision oncology development, the prognosis for patients with grade 4 glioma remains poor, indicating an urgent need for better diagnostic and therapeutic strategies. Circulating miRNAs besides being important regulators of cancer development could serve as promising diagnostic biomarkers for patients with grade 4 glioma. Here, we propose a two-miRNA miR-362-3p and miR-6721-5p screening signature for serum for non-invasive classification of identified glioma cases into the highest-grade 4 and lower-grade gliomas. A total of 102 samples were included in this study, comprising 78 grade 4 glioma cases and 24 grade 2-3 glioma subjects. Using the NanoString platform, seven miRNAs were identified as differentially expressed (DE), which was subsequently confirmed via RT-qPCR analysis. Next, numerous combinations of DE miRNAs were employed to develop classification models. The dual panel of miR-362-3p and miR-6721-5p displayed the highest diagnostic value to differentiate grade 4 patients and lower grade cases with an AUC of 0.867. Additionally, this signature also had a high AUC = 0.854 in the verification cohorts by RT-qPCR and an AUC = 0.842 using external data from the GEO public database. The functional annotation analyses of predicted DE miRNA target genes showed their primary involvement in the STAT3 and HIF-1 signalling pathways and the signalling pathway of pluripotency of stem cells and glioblastoma-related pathways. For additional exploration of miRNA expression patterns correlated with glioma, we performed the Weighted Gene-Co Expression Network Analysis (WGCNA). We showed that the modules most associated with glioma grade contained as many as six DE miRNAs. In conclusion, this study presents the first evidence of serum miRNA expression profiling in adult-type diffuse glioma using a classification based on the WHO 2021 guidelines. We expect that the discovered dual miR-362-3p and miR-6721-5p signatures have the potential to be utilised for grading gliomas in clinical applications.

An evolutionary learning-based method for identifying a circulating miRNA signature for breast cancer diagnosis prediction.

Breast cancer (BC) is one of the most commonly diagnosed cancers worldwide. As key regulatory molecules in several biological processes, microRNAs (miRNAs) are potential biomarkers for cancer. Understanding the miRNA markers that can detect BC may improve survival rates and develop new targeted therapeutic strategies. To identify a circulating miRNA signature for diagnostic prediction in patients with BC, we developed an evolutionary learning-based method called BSig. BSig established a compact set of miRNAs as potential markers from 1280 patients with BC and 2686 healthy controls retrieved from the serum miRNA expression profiles for the diagnostic prediction. BSig demonstrated outstanding prediction performance, with an independent test accuracy and area under the receiver operating characteristic curve were 99.90% and 0.99, respectively. We identified 12 miRNAs, including hsa-miR-3185, hsa-miR-3648, hsa-miR-4530, hsa-miR-4763-5p, hsa-miR-5100, hsa-miR-5698, hsa-miR-6124, hsa-miR-6768-5p, hsa-miR-6800-5p, hsa-miR-6807-5p, hsa-miR-642a-3p, and hsa-miR-6836-3p, which significantly contributed towards diagnostic prediction in BC. Moreover, through bioinformatics analysis, this study identified 65 miRNA-target genes specific to BC cell lines. A comprehensive gene-set enrichment analysis was also performed to understand the underlying mechanisms of these target genes. BSig, a tool capable of BC detection and facilitating therapeutic selection, is publicly available at https://github.com/mingjutsai/BSig.

Proposing new early detection indicators for pancreatic cancer: Combining machine learning and neural networks for serum miRNA-based diagnostic model.

Pancreatic cancer (PC) is a lethal malignancy that ranks seventh in terms of global cancer-related mortality. Despite advancements in treatment, the five-year survival rate remains low, emphasizing the urgent need for reliable early detection methods. MicroRNAs (miRNAs), a group of non-coding RNAs involved in critical gene regulatory mechanisms, have garnered significant attention as potential diagnostic and prognostic biomarkers for pancreatic cancer (PC). Their suitability stems from their accessibility and stability in blood, making them particularly appealing for clinical applications. In this study, we analyzed serum miRNA expression profiles from three independent PC datasets obtained from the Gene Expression Omnibus (GEO) database. To identify serum miRNAs associated with PC incidence, we employed three machine learning algorithms: Support Vector Machine-Recursive Feature Elimination (SVM-RFE), Least Absolute Shrinkage and Selection Operator (LASSO), and Random Forest. We developed an artificial neural network model to assess the accuracy of the identified PC-related serum miRNAs (PCRSMs) and create a nomogram. These findings were further validated through qPCR experiments. Additionally, patient samples with PC were classified using the consensus clustering method. Our analysis revealed three PCRSMs, namely hsa-miR-4648, hsa-miR-125b-1-3p, and hsa-miR-3201, using the three machine learning algorithms. The artificial neural network model demonstrated high accuracy in distinguishing between normal and pancreatic cancer samples, with verification and training groups exhibiting AUC values of 0.935 and 0.926, respectively. We also utilized the consensus clustering method to classify PC samples into two optimal subtypes. Furthermore, our investigation into the expression of PCRSMs unveiled a significant negative correlation between the expression of hsa-miR-125b-1-3p and age. Our study introduces a novel artificial neural network model for early diagnosis of pancreatic cancer, carrying significant clinical implications. Furthermore, our findings provide valuable insights into the pathogenesis of pancreatic cancer and offer potential avenues for drug screening, personalized treatment, and immunotherapy against this lethal disease.

The Expression Levels of MicroRNAs Differentially Expressed in Sudden Sensorineural Hearing Loss Patients' Serum Are Unchanged for up to 12 Months after Hearing Loss Onset.

Sudden sensorineural hearing loss (SSNHL) is an acquired idiopathic hearing loss. Serum levels of small, non-coding RNAs and microRNAs (miRNAs) miR-195-5p/-132-3p/-30a-3p/-128-3p/-140-3p/-186-5p/-375-3p/-590-5p are differentially expressed in SSNHL patients within 28 days of hearing loss onset. This study determines if these changes persist by comparing the serum miRNA expression profile of SSNHL patients within 1 month of hearing loss onset with that of patients 3-12 months after hearing loss onset. We collected serum from consenting adult SSNHL patients at presentation or during clinic follow-up. We matched patient samples drawn 3-12 months after hearing loss onset (delayed group, n = 9 patients) by age and sex to samples drawn from patients within 28 days of hearing loss onset (immediate group, n = 14 patients). We compared the real-time PCR-determined expression levels of the target miRNAs between the two groups. We calculated the air conduction pure-tone-averaged (PTA) audiometric thresholds in affected ears at the initial and final follow-up visits. We undertook inter-group comparisons of hearing outcome status and initial and final PTA audiometric thresholds. There was no significant inter-group difference in miRNA expression level, hearing recovery status and initial and final affected ear PTA audiometric thresholds.

Analysis of Differentially Expressed MicroRNAs in Serum and Lung Tissues from Individuals with Severe Asthma Treated with Oral Glucocorticoids

Nowadays, microRNAs (miRNAs) are increasingly used as biomarkers due to their potential contribution to the diagnosis and targeted treatment of a range of diseases. The aim of the study was to analyze the miRNA expression profiles in serum and lung tissue from patients with severe asthma treated with oral corticosteroids (OCS) and those without OCS treatment. For this purpose, serum and lung tissue miRNAs of OCS and non-OCS asthmatic individuals were evaluated by miRNAs-Seq, and subsequently miRNA validation was performed using RT-qPCR. Additionally, pathway enrichment analysis of deregulated miRNAs was conducted. We observed altered expression by the next-generation sequencing (NGS) of 11 miRNAs in serum, of which five (hsa-miR-148b-3p, hsa-miR-221-5p, hsa-miR-618, hsa-miR-941, and hsa-miR-769-5p) were validated by RT-qPCR, and three miRNAs in lung tissue (hsa-miR-144-3p, hsa-miR-144-5p, and hsa-miR-451a). The best multivariate logistic regression model to differentiate individuals with severe asthma, treated and untreated with OCS, was to combine the serum miRNAs hsa-miR-221-5p and hsa-miR-769-5p. Expression of hsa-miR-148b-3p and hsa-miR-221-5p correlated with FEV1/FVC (%) and these altered miRNAs act in key signaling pathways for asthma disease and the regulated expression of some genes (FOXO3, PTEN, and MAPK3) involved in these pathways. In conclusion, there are miRNA profiles differentially expressed in OCS-treated individuals with asthma and could be used as biomarkers of OCS treatment.

Study on mechanisms of Th17/Treg imbalance in patients with cystic echinococcosis based on miRNA expression profiles

To investigate the serum microRNA (miRNA) expression and examine the impact of miRNA expression profiles on T helper type 17 (Th17)/regulatory T cells (Treg) imbalance among patients with cystic echinococcosis, so as to provide insights into the illustration of the mechanisms underlying chronic Echinococcus granulosus infections, and long-term pathogenesis. Total RNA was extracted from the sera of cystic echinococcosis patients and healthy controls, and subjected to high-throughput sequencing with the Illumina sequencing platform. Known miRNAs were annotated and new miRNAs were predicted using the miRBase database and the miRDeep2 tool, and differentially expressed miRNAs were identified. The target genes of differentially expressed miRNAs were predicted using the software miRanda and TargetScan, and the intersection was selected for Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Among the differentially expressed miRNAs with the 20 highest fold changes, miRNAs that targeted genes relating to key transcription factors RORC and FOXP3 that determine the production of Th17 and Treg cells or their important regulatory pathways (PI3K-Akt and mTOR pathways) were matched. A total of 53 differentially expressed miRNAs were screened in sera of cystic echinococcosis patients and healthy controls, including 47 up-regulated miRNAs and 6 down-regulated miRNAs. GO enrichment analysis showed that these differentially expressed miRNA were involved DNA transcription and translation, cell components, cell morphology, neurodevelopment and metabolic decomposition, and KEGG pathway analysis showed that the differentially expressed miRNA were mainly involved in MAPK, PI3K-Akt and mTOR signaling pathways. Among the differentially expressed miRNAs with the 20 highest fold changes, there were 3 miRNAs that had a potential for target regulation of RORC, and 15 miRNAs that had a potential to target the PI3K-Akt and mTOR signaling pathways. Significant changes are found in serum miRNA expression profiles among patients with E. granulosus infections, and differentially expressed miRNAs may lead to Th17/Treg imbalance through targeting the key transcription factors of Th17/Treg or PI3K-Akt and mTOR pathways, which facilitates the long-term parasitism of E. granulosus in hosts and causes a chronic disease.

P-081: A novel circulating miRNA involved in T cell senescence of multiple myeloma patients

<h3>Background</h3> Many circulating miRNAs were reported as biomarkers of multiple myeloma (MM),but the functions of these circulating miRNAs are not clarified recently. The aim of this work is to identify novel biomarkers of circulating miRNAs in diagnosis and prognosis for MM and reveal their function in the pathogenesis of MM. <h3>Methods</h3> MiRNAs profiling in serum(n=15) and MM cells(CD138+, n=10) were analyzed by RNA-sequencing of MM patients. The common dysregulated miRNAs(P<0.05) were identified via Veen Diagram analysis in serum and MM cells between MM patients and healthy donors, then validated by RT-PCR. ROC analysis and Kaplan-Meier(K-M) analysis were performed to evaluate the differently expressed circulating miRNAs in diagnosis and prognosis in MM patients, respectively. Exosomes of serum were isolated and characterized by dynamic light scattering, transmission microscopy, and western blot analysis. <h3>Results</h3> There were stable and specific miRNA expression profiles in serum and tumor cells of MM patients. The miRNA profiling of MM serum showed that there were 74 differential circulating miRNAs(P<0.05), among which 56 miRNAs(75.7%) were down-regulated and 18 miRNAs were up-regulated(24.3%). MiRNA profiling of MM cells showed that there were 376 miRNAs differentially expressed(P<0.05), of which 87(23.1%) were down-regulated and 289(76.9%) were up-regulated. Veen analysis found 36 common dysregulated miRNAs both in serum and tumor cells of MM. There were 22.3% of differential miRNAs located on chromosome 1 and 17. Five circulating miRNAs(miR-27b-3p, miR-145-3p, miR-628-3p, miR-342-5p and miR-30e-3p) were further confirmed differentially expressed in MM patients(n=201) by RT-PCR. K-M analysis showed that MM patients with low level of miR-27b, miR-145, and miR-628 had shortened PFS and OS. Strikingly, comparing to the decreased level of miR-27b in MM patients serum, miR-27b was enriched in the exosome of serum. MM patients with low level of serum miR-27b displayed lower CD3+T cells and CD3+CD4+T cells in peripheral blood. Our further study found increased proportation of senescent T cells in MM patients with low level of serum miR-27b, especially in CD8+T cells. In order to confirm T cell senescent phenotype, PBMCs were co-cultured with MM patients serum exosomes which mimic the in vivo situation. Flow cytometry analysis showed the CD28 expression was notably decreased on the CD3+ T cells in the co-culture group. In addition, RT-PCR and flow cytometry analysis showed that overexpression of miR-27b significantly down-regulated the level of CD28 in jurkat cells, a T cell line. These findings suggested an immune suppressive microenvironment in MM patients with lower level of serum miR-27b. <h3>Conclusion</h3> Circulating miRNA works as a usful biomarker in diagnosis and prognosis of MM. Strigently, serum miR-27b is a novel circulating miRNA involved in T cell senescence of multiple myeloma patients which indicated the poor outcome of patients with MM.

Serum circulating miRNA-342-3p as a potential diagnostic biomarker in parathyroid carcinomas: A pilot study.

ObjectiveTo compare the serum miRNA expression profiles between patients with benign and malignant parathyroid tumours.BackgroundDespite recent advances in molecular biology, a histological tissue biopsy is still the method of choice used to diagnose most cancers. The preoperative cytology is not an applicable method for diagnosis of parathyroid cancer (PC); therefore, huge interest exists in terms of finding alternative methodologies to seek specific cancer biomarkers.DesignA retrospective cross‐sectional study.Patients and MethodsSerum samples of patients with PC (n = 13) and parathyroid adenoma (PA) (n = 11), age (p = .999) and sex (p = .999) were matched and examined via the simultaneous comparative expression analysis of 754 microRNAs (miRNAs). The «TaqMan OpenArray Human MicroRNA Panel» (Applied Biosystems) was used to conduct real‐time PCRs using the «QuantStudio 12К Flex» station (Life Technologies).ResultsAccording to the results of a pilot study, significant changes in expression levels between the PC group and the PA group (control) (p < .05) were observed for 17 miRNAs. Among them, the downregulation of miRNA‐342‐3p met the Benjamini‐Hochberg adjustment criteria for multiple comparisons (p = .02).ConclusionsSerum miRNA‐342‐3p could be a promising biomarker for PC to improve diagnosis and prognosis.

Comparative serum microRNA array analysis of the spleen-stomach dampness-heat syndrome in different diseases: Chronic hepatitis B and chronic gastritis.

Spleen-stomach dampness-heat syndrome (SSDHS) is the common Traditional Chinese Medicine (TCM) syndrome observed in both chronic hepatitis B (CHB) and chronic gastritis (CG). The specialized TCM prescription for CHB and CG patients with SSDHS is same, but there is limited information about the biological characteristics of this TCM syndrome. This study aimed to identify the serum miRNAs profile for the SSDHS in two different diseases in order to evaluate the miRNA-mediated biological characteristics of this TCM syndrome. We performed comparative microarray analysis of serum miRNA expression profiles in 10 CHB patients with SSDHS (SSDHS-CHB), 10 CG patients with SSDHS (SSDHS-CG), and 10 healthy controls (HC). The selected miRNAs were further validated by qRT-PCR in 13 SSDHS-CHB patients, 13 SSDHS-CG patients, and 13 HC. Moreover, bioinformatics analysis (GO and KEGG pathway enrichment analyses) was applied to identify the involved target genes and pathways for these selected miRNAs. Nine significantly differentially expressed (SDE)-miRNAs in the SSDHS-CHB group and 24 SDE-miRNAs in the SSDHS-CG group were identified, compared with the HC group (fold change >2.0 and p < .05). Among these, upregulated hsa-miR-483-3p and downregulated hsa-miR-223-3p were identified as the common SDE-miRNAs for both SSDHS-CHB and SSDHS-CG groups. Bioinformatics analysis of the common SDE-miRNA's target genes showed their involvement in the regulation of inflammation, immune response, and tumorigenesis. SSDHS-specific hsa-miR-483-3p and hsa-miR-223-3p identified in this study indicated a relevance to the underlying biological basis of SSDHS, and may provide scientific basis for the application of same TCM prescription in CHB and CG.

Association between miRNA signatures in serum samples from epidermal growth factor inhibitor treated patients and skin toxicity.

Objective: Epidermal growth factor receptor inhibitors (EGFRI) are used as targeted cancer therapy. On average 70% of patients treated with EGFRIs suffer from skin toxicity. Studies showed a correlation between overall survival and the appearance of a skin rash, which is used as a biomarker for therapy efficacy. Micro RNAs (miRNA) as tumor or resistance biomarkers for cancer therapy are also highly investigated. In our study, we searched for associations of miRNA expression profiles in serum, with the severity of skin rash, in order to identify tentative therapy predictive biomarkers.Materials and Methods: Five candidate miRNAs were selected, based on an earlier in vitro next-generation-sequencing-experiment and after literature search. MiR-21, miR-31, miR-17, miR-106b and miR-520e were investigated in serum samples from patients (n = 254) treated with EGFRI. The quantitative expression of miRNA was tested for association with the occurrence/severity of the rash.Results: In our cohort of patients treated with EGFR inhibiting monoclonal antibodies, miR-21 and miR-520e serum concentrations were negatively correlated with severity of skin rash (p-value 0.000582 and 1.53e-07 linear-trend-test) whereas for miR-31, a positive correlation was observed (p-value 9.01e-06 linear-trend-test).Conclusions: This suggests that miR-21, miR-31 and miR-520e expression might be a treatment dependent marker for EGFRI induced skin rash.

Differences in Serum miRNAs in Women Exposed to Biomass Smoke and Smokers with and without Severe to very Severe COPD

Background: Exposure to biomass smoke (BS) and smoking (TS) associated with the genetic environment are the main causes of Chronic Obstructive Pulmonary Disease (COPD). microRNAs (miRNAs) participate in the control of posttranscriptional regulation. The miRNAs involved in COPD-TS are well defined; however, those implicated in COPD-BS have not been identified. Objective: It was analyzed which miRNAs participate in women exposed to biomass (COPD-BS) and smokers (COPD-TS), in a severe to very severe COPD (GOLD III-IV), comparing with women exposed to BS without COPD (H-BS), smokers without COPD (H-TS), and healthy control (C). Material and Methods: Clinical and physiological characteristics were analyzed. The serum miRNA expression profiles were analyzed using PCR arrays (n=3), followed by RT-qPCR (n=25). Results: Women with COPD-BS were older, shorter, and weighed less related to the other groups. Four miRNAs were deregulated, miR-10a-5p that was overexpressed in COPD-TS versus H-TS; while three were underexpressed: miR-15b-5p comparing H-TS with C, miR-30d-5p in COPD-TS versus C, and miR-200c-5p in COPD-BS related to H-TS. Conclusion: Our results suggest that women with COPD-SB have different serum expression of miRNA compared to those with COPD-TS; miR-200c could be relevant in the pathophysiology of COPD-SB, while miR-10a-5p, miR-15b-5p and miR-30d-5p in COPD-TS.

Identification of a genome-wide serum microRNA expression profile as potential noninvasive biomarkers for chronic kidney disease using next-generation sequencing.

ObjectiveTo identify serum microRNAs (miRNAs) as potential non-invasive biomarkers for patients with chronic kidney disease (CKD).MethodsWe collected serum samples from healthy controls, CKD stage 1 (CKD1), and stage 5 (CKD5) patients with primary glomerulonephritis (GN), screened differentially expressed miRNAs (DEMs) using next-generation sequencing (NGS), and confirmed the sequencing data using quantitative reverse transcriptase polymerase chain reaction (qRT-PCR).ResultsWe identified 20 and 42 DEMs in the CKD1 and CKD5 patients compared with the controls, respectively, and 70 DEMs in the CKD5 compared with the CKD1 patients. The qRT-PCR results showed that miR-483-5p was up-regulated in the CKD1 and CKD5 patients compared with controls (fold change = 2.56 and 18.77, respectively). miR-363-3p was down-regulated in the CKD5 patients compared with the controls and CKD1 patients (fold change = 0.27 and 0.48, respectively).ConclusionWe identified a genome-wide serum miRNA expression profile in CKD patients, and serum miR-483-5p and miR-363-3p may act as potential diagnostic biomarkers for CKD.

Evaluation of circulating microRNA expression in patients with trigeminal neuralgia: An observational study.

Trigeminal neuralgia (TN) is a chronic neuropathic pain that seriously affects the daily life of patients. There is increasing evidence that microRNAs (miRNAs) play an important role in the development of neuropathic pain.In this study, the TaqMan Low Density Array (TLDA) was used to analyze the serum miRNA levels of 28 TN patients, and 31 healthy people without any neuropathic pain were used as controls.The results showed that the expression profile of serum miRNA in TN patients was different from that in healthy controls. Compared with the control group, 13 miRNAs in the serum of TN patients were up-regulated and 115 miRNAs were down-regulated by >2 times. Quantitative reverse transcription PCR (RT-qPCR) analysis and receiver operating characteristic (ROC) curve were performed. The analysis further confirmed that the expression levels of 4 miRNAs, including miR-132-3p, miR-146b-5p, miR-155-5p, and miR-384, were significantly higher than those of healthy controls, and the difference was statistically significant.This study preliminarily confirmed the changes of serum miRNA expression profile in TN patients. Among them, 4 kinds of serum miRNA are likely to be related to the occurrence and development of TN.

The Physiological MicroRNA Landscape in Nipple Aspirate Fluid: Differences and Similarities with Breast Tissue, Breast Milk, Plasma and Serum.

Background: MicroRNAs (miRNAs) target 60% of human messenger RNAs and can be detected in tissues and biofluids without loss of stability during sample processing, making them highly appraised upcoming biomarkers for evaluation of disease. However, reporting of the abundantly expressed miRNAs in healthy samples is often surpassed. Here, we characterized for the first time the physiological miRNA landscape in a biofluid of the healthy breast: nipple aspirate fluid (NAF), and compared NAF miRNA expression patterns with publically available miRNA expression profiles of healthy breast tissue, breast milk, plasma and serum. Methods: MiRNA RT-qPCR profiling of NAF (n = 41) and serum (n = 23) samples from two healthy female cohorts was performed using the TaqMan OpenArray Human Advanced MicroRNA 754-Panel. MiRNA quantification data based on non-targeted or multi-targeted profiling techniques for breast tissue, breast milk, plasma and serum were retrieved from the literature by means of a systematic search. MiRNAs from each individual study were orderly ranked between 1 and 50, combined into an overall ranking per sample type and compared. Results: NAF expressed 11 unique miRNAs and shared 21/50 miRNAs with breast tissue. Seven miRNAs were shared between the five sample types. Overlap between sample types varied between 42% and 62%. Highly ranked NAF miRNAs have established roles in breast carcinogenesis. Conclusion: This is the first study to characterize and compare the unique physiological NAF-derived miRNA landscape with the physiological expression pattern in breast tissue, breast milk, plasma and serum. Breast-specific sources did not mutually overlap more than with systemic sources. Given their established role in carcinogenesis, NAF miRNA assessment could be a valuable tool in breast tumor diagnostics.

The Physiological microRNA Landscape in Nipple Aspirate Fluid: Differences and Similarities with Breast Tissue, Breast Milk, Plasma and Serum

Background: MicroRNAs (miRNAs) target 60% of human messenger RNAs and can be detected in tissues and biofluids without loss of stability during sample processing, making them highly appraised upcoming biomarkers for evaluation of disease. However, reporting of the abundantly expressed miRNAs in healthy samples is often surpassed. Here, we characterized for the first time the physiological miRNA landscape in a biofluid of the healthy breast: nipple aspirate fluid (NAF), and compared NAF miRNA expression patterns with publically available miRNA expression profiles of healthy breast tissue, breast milk, plasma and serum. Methods: MiRNA RT-qPCR profiling of NAF (n=41) and serum (n=23) samples from two healthy female cohorts was performed using the TaqMan OpenArray Human Advanced MicroRNA 754-Panel. MiRNA quantification data based on non-targeted or multi-targeted profiling techniques for breast tissue, breast milk, plasma and serum was retrieved from literature by means of a systematic search. MiRNAs from each individual study were orderly ranked between 1-50, combined into an overall ranking per sample type and compared. Findings: NAF expressed 11 unique miRNAs and shared 21/50 miRNAs with breast tissue. Seven miRNAs were shared between the five sample types. Overlap between sample types varied between 42-62%. Highly ranked NAF miRNAs have established roles in breast carcinogenesis. Interpretation: This is the first study to characterize and compare the unique physiological NAF-derived miRNA landscape with the physiological expression pattern in breast tissue, breast milk, plasma and serum. Breast-specific sources did not mutually overlap more than with systemic sources. Given their established role in carcinogenesis, NAF miRNA assessment could be a valuable tool in breast tumor diagnostics. Funding: This work was supported by the Dutch Cancer Society (KWF) under grant number UU2016-8191. This was previously A Sister’s Hope grant with grant number 2012.WO38.C142. Declaration of Interests: The authors declare no potential conflicts of interest. Ethics Approval Statement: These studies were approved by the Institutional Review Boards of the UMC Utrecht and other participating hospitals and the UMC Utrecht Biobank Research Ethics Committee (TCBio). Informed consent was obtained from all participating women.

Analysis of circulating microRNAs aberrantly expressed in alcohol-induced osteonecrosis of femoral head

Serum miRNAs are potential biomarkers for predicting the progress of bone diseases, but little is known about miRNAs in alcohol-induced osteonecrosis of femoral head (AIONFH). This study evaluated disease-prevention value of specific serum miRNA expression profiles in AIONFH. MiRNA PCR Panel was taken to explore specific miRNAs in serum of AIONFH cases. The top differentially miRNAs were further validated by RT-qPCR assay in serum and bone tissues of two independent cohorts. Their biofunction and target genes were predicted by bioinformatics databases. Target genes related with angiogenesis and osteogenesis were quantified by RT-qPCR in necrotic bone tissue. Our findings demonstrated that multiple miRNAs were evaluated to be differentially expressed with high dignostic values. MiR-127-3p, miR-628-3p, and miR-1 were downregulated, whereas miR-885-5p, miR-483-3p, and miR-483-5p were upregulated in serum and bone samples from the AIONFH patients compared to those from the normal control individuals (p < 0.01). The predicted target genes of the indicated miRNAs quantified by qRT-PCR, including IGF2, PDGFA, RUNX2, PTEN, and VEGF, were presumed to be altered in necrotic bone tissue of AIONFH patients. The presence of five altered miRNAs in AIONFH patients may serve as non-invasive biomarkers and potential therapeutic targets for the early diagnosis of AIONFH.

MiRNA expression profile in serum of osteoarthritis patients

Introduction: Osteoarthritis (OA) is the most common form of arthritis that affects millions of people worldwide. Despite advances in medicine, OA still remains incurable. Scientists are still seeking candidates for biomarker-based risk stratification and the early detection of disease. Measurement of miRNAs in the serum may become a powerful tool in the development of diagnostic biomarker. Purpose: The aim of this study was to examine the expression profiles of 20 miRNAs in the serum of patients with OA.Methods: We used RT-qPCR method to measure the expression profile of selected miRNAs.Results: Six miRNAs showed differential expression between OA and normal serum samples. miR-146a-5p and miR-98-5p were significantly upregulated (P &lt; 0.05), while miR-222-3p, miR-22-3p, miR-27a-3p and miR-93-5p were downregulated (P &lt; 0.05) compared to the control group. To the best of our knowledge, this is the first work that shows that expression of these six miRNAs is different between serum OA samples and healthy controls. However, we did not find any statistically significant relationship between the miRNAs expression and clinical characteristics.Conclusions: Our findings suggest that miRNAs can be used as potential biomarkers for OA, but further research is needed to assess the usefulness of serum miRNAs in miRNA-based prognostic and therapeutic approaches.

MiRNA expression profile in serum of osteoarthritis patients

Introduction: Osteoarthritis (OA) is the most common form of arthritis that affects millions of people worldwide. Despite advances in medicine, OA still remains incurable. Scientists are still seeking candidates for biomarker-based risk stratification and the early detection of disease. Measurement of miRNAs in the serum may become a powerful tool in the development of diagnostic biomarker. Purpose: The aim of this study was to examine the expression profiles of 20 miRNAs in the serum of patients with OA.Methods: We used RT-qPCR method to measure the expression profile of selected miRNAs.Results: Six miRNAs showed differential expression between OA and normal serum samples. miR-146a-5p and miR-98-5p were significantly upregulated (P &lt; 0.05), while miR-222-3p, miR-22-3p, miR-27a-3p and miR-93-5p were downregulated (P &lt; 0.05) compared to the control group. To the best of our knowledge, this is the first work that shows that expression of these six miRNAs is different between serum OA samples and healthy controls. However, we did not find any statistically significant relationship between the miRNAs expression and clinical characteristics.Conclusions: Our findings suggest that miRNAs can be used as potential biomarkers for OA, but further research is needed to assess the usefulness of serum miRNAs in miRNA-based prognostic and therapeutic approaches.