Small RNA Next-generation Sequencing Research Articles

Circulating microRNAs as biomarkers for stratifying different phases of liver cancer progression and response to therapy

Hepatocellular carcinoma (HCC) is the most common liver cancer and is among the leading causes of cancer-related death worldwide. There is no reliable biomarker for the early diagnosis of HCC. Circulating microRNAs (miRNAs) have attracted attention as potential biomarkers of disease. By small-RNA next-generation sequencing, the analysis of serum miRNAs led to the identification of molecular signatures able to discriminate advanced HCC from early HCC (n = 246); advanced HCC from CIRRHOSIS (n = 299); advanced HCC from HEALTHY (n = 320); HEALTHY from early HCC (n = 343); and HEALTHY from CIRRHOSIS (n = 414). Cirrhotic patients and early HCC patients exhibited similar serum miRNA profiles, yet a small number of miRNAs (n = 57) were able to distinguish these two classes of patients. A second objective of the study was to identify serum miRNAs capable of predicting the response to therapy in patients with advanced HCC. All patients were treated with sorafenib as first-line therapy: 24 were nonresponsive and 24 responsive. Analysis of circulating miRNAs revealed a 54 miRNAs signature able to separate the two subgroups. This study suggested that circulating miRNAs could be useful biomarkers for monitoring patients with liver diseases ranging from cirrhosis to advanced HCC and possibly predicting susceptibility to first-line treatment based on sorafenib.

Dysregulated Urinary Extracellular Vesicle Small RNAs in Diabetic Nephropathy: Implications for Diagnosis and Therapy.

Diabetic nephropathy (DN) represents a major chronic kidney disorder and a leading cause of end-stage renal disease (ESRD). Small RNAs have been showing great promise as diagnostic markers as well as drug targets. Identifying dysregulated micro RNAs (miRNAs) could help in identifying disease biomarkers and investigation of downstream interactions, shedding light on the molecular pathophysiology of DN. In this study, we analyzed small RNAs within human urinary extracellular vesicles (ECVs) from DN patients using small RNA next-generation sequencing. In this cross-sectional study, urine samples were collected from 88 participants who were divided into 3 groups: type 2 diabetes (T2D) with DN (T2D + DN, n = 20), T2D without DN (T2D - DN, n = 40), and healthy individuals (n = 28). The study focused on isolating urinary ECVs to extract and sequence small RNAs. Differentially expressed small RNAs were identified, and a functional enrichment analysis was conducted. The study revealed a distinct subset of 13 miRNAs and 10 Piwi-interacting RNAs that were significantly dysregulated in urinary ECVs of the DN group when compared to other groups. Notably, miR-151a-3p and miR-182-5p exhibited a unique expression pattern, being downregulated in the T2D - DN group, and upregulated in the T2D + DN group, thus demonstrating their effectiveness in distinguishing patients between the 2 groups. Eight driver genes were identified PTEN, SMAD2, SMAD4, VEGFA, CCND2, CDK6, LIN28B, and CHD1. Our findings contribute valuable insights into the pathogenesis of DN, uncovering novel biomarkers and identifying potential therapeutic targets that may aid in managing and potentially decelerating the progression of the disease.

P25 Identification of early changes in extracellular microRNA biomarkers of scleroderma for point-of-care diagnosis

Abstract Introduction and aims Scleroderma is a rare autoimmune disease, characterized by excessive extracellular matrix deposition leading to chronic inflammation and fibrosis. As a progressive disease initially affecting the skin, it presents similarly to Raynaud phenomenon, which delays diagnosis and treatment. Clinical diagnostic tests lack sensitivity, therefore novel Methods of detection and sensitive biomarkers are required to improve diagnosis rates. MicroRNAs are short, stable, noncoding RNAs, often present in the extracellular space, and can be sampled from interstitial skin fluid (ISF) through the employment of hydrogel microneedles. We aim to use this technique to improve upon current clinical gold standards of diagnosing scleroderma, at earlier stages of the disease. Methods In this study, we performed next-generation small-RNA sequencing on ISF from healthy individuals, patients prior to a clinical diagnosis of scleroderma [termed very early detection of systemic sclerosis (VEDOSS)], and patients with scleroderma classified as low and high skin score, identifying a panel of microRNA biomarkers for scleroderma diagnosis. Swellable hydrogel microneedles were manufactured in house, applied to excised human tissue and preclinical mouse models to demonstrate the ability to access and quantify extracellular microRNAs in ISF. Results Patients who received a VEDOSS diagnosis have increased ISF abundance of miR-379-5p and miR-125a-5p and decreased miR-30e-3p compared with healthy patients. miR-379-5p, miR-363-3p and miR-221-3p are sensitive to the progression of scleroderma and could be used to track the disease with improved sensitivity to autoantibodies in blood or where clinical practices usually require a skin biopsy. Using preclinical models of skin disease, we could differentiate between conditions, with higher sensitivity than blood sampling using our microneedle technology. Conclusions By identifying extracellular mircoRNAs, we have shown the potential use of these sensitive biomarkers in a liquid biopsy that can be applied at point-of-care. Peptide nucleic acids complementary to our microRNA biomarkers, will be used to provide real-time on-the-chip readouts of these ­biomarkers.

TRNA-Derived Fragments as Biomarkers in Bladder Cancer.

Bladder cancer (BC) diagnosis is reliant on cystoscopy, an invasive procedure associated with urinary tract infections. This has sparked interest in identifying noninvasive biomarkers in body fluids such as blood and urine. A source of biomarkers in these biofluids are extracellular vesicles (EVs), nanosized vesicles that contain a wide array of molecular cargo, including small noncoding RNA such as transfer RNA-derived fragments (tRF) and microRNA. Here, we performed small-RNA next-generation sequencing from EVs from urine and serum, as well as from serum supernatant. RNA was extracted from 15 non-cancer patients (NCPs) with benign findings in cystoscopy and 41 patients with non-muscle invasive BC. Urine and serum were collected before transurethral resection of bladder tumors (TUR-b) and at routine post-surgery check-ups. We compared levels of tRFs in pre-surgery samples to samples from NCPs and post-surgery check-ups. To further verify our findings, samples from 10 patients with stage T1 disease were resequenced. When comparing tRF expression in urine EVs between T1 stage BC patients and NCPs, 14 differentially expressed tRFs (DEtRFs) were identified. In serum supernatant, six DEtRFs were identified among stage T1 patients when comparing pre-surgery to post-surgery samples and four DEtRFs were found when comparing pre-surgery samples to NCPs. By performing a blast search, we found that sequences of DEtRFs aligned with genomic sequences pertaining to processes relevant to cancer development, such as enhancers, regulatory elements and CpG islands. Our findings display a number of tRFs that may hold potential as biomarkers for the diagnosis and recurrence-free survival of BC.

The plasma miRNome and venous thromboembolism in high-grade glioma: miRNA Sequencing of a nested case-control cohort.

Patients with high-grade gliomas are at high risk of venous thromboembolism (VTE). MicroRNAs (miRNAs) are small non-coding RNAs with multiple roles in tumour biology, haemostasis and platelet function. Their association with VTE risk in high-grade glioma has not been comprehensively mapped so far. We thus conducted a nested case-control study within 152 patients with WHO grade IV glioma that had been part of a prospective cohort study on VTE risk factors. At inclusion a single blood draw was taken, and patients were thereafter followed for a maximum of 2 years. During that time, 24 patients (16%) developed VTE. Of the other 128 patients, we randomly selected 24 age- and sex-matched controls. After quality control, the final group size was 21 patients with VTE during follow-up and 23 without VTE. Small RNA next-generation sequencing of plasma was performed. We observed that hsa-miR-451a was globally the most abundant miRNA. Notably, 51% of all miRNAs showed a correlation with platelet count. The analysis of miRNAs differentially regulated in VTE patients-with and without platelet adjustment-identified potential VTE biomarker candidates such as has-miR-221-3p. Therewith, we here provide one of the largest and deepest peripheral blood miRNA datasets of high-grade glioma patients so far, in which we identified first VTE biomarker candidates that can serve as the starting point for future research.

Candidate biomarkers of EV-microRNA in detecting REM sleep behavior disorder and Parkinson’s disease

Parkinson’s disease (PD) lacks reliable, non-invasive biomarker tests for early intervention and management. Thus, a minimally invasive test for the early detection and monitoring of PD and REM sleep behavior disorder (iRBD) is a highly unmet need for developing drugs and planning patient care. Extracellular vehicles (EVs) are found in a wide variety of biofluids, including plasma. EV-mediated functional transfer of microRNAs (miRNAs) may be viable candidates as biomarkers for PD and iRBD. Next-generation sequencing (NGS) of EV-derived small RNAs was performed in 60 normal controls, 56 iRBD patients and 53 PD patients to profile small non-coding RNAs (sncRNAs). Moreover, prospective follow-up was performed for these 56 iRBD patients for an average of 3.3 years. Full-scale miRNA profiles of plasma EVs were evaluated by machine-learning methods. After optimizing the library construction method for low RNA inputs (named EVsmall-seq), we built a machine learning algorithm that identified diagnostic miRNA signatures for distinguishing iRBD patients (AUC 0.969) and PD patients (AUC 0.916) from healthy individuals; and PD patients (AUC 0.929) from iRBD patients. We illustrated all the possible expression patterns across healthy-iRBD-PD hierarchy. We also showed 20 examples of miRNAs with consistently increasing or decreasing expression levels from controls to iRBD to PD. In addition, four miRNAs were found to be correlated with iRBD conversion. Distinct characteristics of the miRNA profiles among normal, iRBD and PD samples were discovered, which provides a panel of promising biomarkers for the identification of PD patients and those in the prodromal stage iRBD.

Plasma Exosomal miRNAs as Response Biomarkers of Immunotherapy in Extensive-Stage Small-Cell Lung Cancer

Immunotherapy combined with chemotherapy has become the first-line standard treatment for patients with extensive-stage small-cell lung cancer (ES-SCLC). The reliable biomarkers stratifying true responders of immunotherapy effectively are unknown, and it is urgent to identify novel biomarkers in clinical. Exosomal miRNAs are considered to play a role in intercellular communication among immune cells and interaction between immune cells and tumor cells. The purpose of this study was to explore the possibility of using plasma-derived exosomal miRNAs as potential biomarkers for identifying responses to immunotherapy in ES-SCLC. From March 2020 to September 2021, 24 patients with ES-SCLC who received PD-L1 inhibitors were enrolled. Tumor assessments were conducted after every two treatment cycles according to RECIST 1.1. Plasma samples of these patients were collected before administering PD-L1 inhibitors as the baseline, and after every four cycles until the occurrence of disease progression. Plasma exosomes were isolated by ultracentrifugation, then total RNA was extracted. The miRNA profile was analyzed with small RNA next-generation sequencing followed by differential expression analysis. Of the 24 patients, 15 underwent immunotherapy maintenance after completing four cycles of PD-L1 inhibitor plus chemotherapy. In order to identify biomarkers for a better response to immunotherapy, all five responders (patients achieving PR) and four non-responders (patients achieving PD) at tumor assessment within eight cycles of the maintenance phase were included for differential expression analysis. Surprisingly, hsa-miR-320c, hsa-miR-320d, and hsa-miR-320e showed a trend of increased expression in the non-responders compared with the responders at baseline and were significantly downregulated in the post-treatment plasma exosomes compared with pre-treatment samples of the responders. Exosomal miRNA profiles are discordant between responders and non-responders of anti-PD-L1 treatment. Hsa-miR-320c, hsa-miR-320d, and hsa-miR-320e were identified as potential biomarkers for predicting the efficacy of immunotherapy in patients with ES-SCLC.

MP53-19 URINARY MICRORNAS ARE POTENTIAL BIOMARKERS OF SEVERITY OF URINARY TRACT DYSFUNCTION IN PATIENTS WITH POSTERIOR URETHRAL VALVES

You have accessJournal of UrologyCME1 Apr 2023MP53-19 URINARY MICRORNAS ARE POTENTIAL BIOMARKERS OF SEVERITY OF URINARY TRACT DYSFUNCTION IN PATIENTS WITH POSTERIOR URETHRAL VALVES Elizabeth Mann, Melissa Mogle, Aditi Paranjpe, Marion Schulte, and Pramod Reddy Elizabeth MannElizabeth Mann More articles by this author , Melissa MogleMelissa Mogle More articles by this author , Aditi ParanjpeAditi Paranjpe More articles by this author , Marion SchulteMarion Schulte More articles by this author , and Pramod ReddyPramod Reddy More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003301.19AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Current management strategy for patients presenting with posterior urethral valves (PUV) includes monitoring of renal function to determine when urinary tract (UT) intervention such as intermittent catheterization or urinary diversion is indicated. The challenge with this approach is that ongoing renal injury may no longer be reversible and exposes the child to progression of chronic kidney disease (CKD). We hypothesize that microRNAs (miRNA) derived from urinary small extracellular vesicles (sEV) reflect the physiological status of the UT and may serve as real-time indicators of lower urinary tract injury. These biomarkers could permit the development of a proactive strategy of serial monitoring of the lower UT in patients with PUV and permit timely intervention prior to the progression of renal injury. METHODS: We have undertaken an IRB approved prospective study. Informed consent was obtained at time of enrollment. Urine samples are collected for each patient at least once a year and urinalysis performed. We excluded samples with active infections. Patients (1-18 yrs) with PUV were stratified into clinical categories based on the severity of the involvement of their UT. Patients with isolated genital pathology and a normal UT served as negative controls. sEVs were isolated from the urine by ultracentrifugation and total RNA extracted. Next-generation small RNA sequencing and differential expression analysis was performed. RT-qPCR was used to verify the expression of candidate miRNAs. RESULTS: A total of 76 PUV Patients and 35 controls have been enrolled in the study, with 244 urine samples collected. Principle component analysis of the most variable miRNAs demonstrated a clear clustering of the patients in the moderate/severe category compared to the patients with mild disease and non-PUV controls. We have identified 61 miRNAs that were upregulated and 45 miRNAs that were downregulated in the moderate/severe patients (≥1.5-fold, p≤0.05). We selected 4 miRNAs to analyze further by RT-qPCR and confirmed the decreased expression of miRNA-30a-5p in moderate/severe cases (>5-fold, p≤0.01). CONCLUSIONS: This study demonstrates that urinary miRNAs can serve as biomarkers of the severity of UT dysfunction in patients with PUV. Ongoing studies seek to further validate these findings. The development of a noninvasive urinary assay for a set of predictive miRNA biomarkers will enhance our ability to care for patients with PUV and enable real-time assessment of the health of their lower urinary tract. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e719 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Elizabeth Mann More articles by this author Melissa Mogle More articles by this author Aditi Paranjpe More articles by this author Marion Schulte More articles by this author Pramod Reddy More articles by this author Expand All Advertisement PDF downloadLoading ...

MiRNA Signature of Urine Extracellular Vesicles Shows the Involvement of Inflammatory and Apoptotic Processes in Diabetic Chronic Kidney Disease

BackgroundThe aim of this study was to investigate the role of urine-derived extracellular vesicles (uEVs) in diabetic kidney disease (DKD) in patients diagnosed with type 2 diabetes mellitus (T2DM).MethodsUEVs were characterized by size distribution and microRNA content by next-generation small RNA sequencing and quantitative reverse transcription PCR.ResultsA subset of sixteen miRNAs enriched in T2DM patients with DKD, including hsa-miR-514a-5p, hsa-miR‑451a, hsa-miR-126-3p, hsa-miR-214, or hsa-miR‑503 was identified. Eight miRNAs as hsa-miR-21-3p, hsa-miR-4792, hsa-miR‑375, hsa-miR-1268a, hsa-miR-501-5p, or hsa-miR-582 were downregulated. Prediction of potential target genes and pathway enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) confirmed possible functions related to cellular processes such as apoptosis, inflammation, and tissue remodeling, that promote diabetic complications, such as DKD. Among them, hsa-miR-375, hsa-miR-503, and hsa-miR-451a make important contribution. Additionally, downregulated hsa-miR-582-5p has not been reported so far in any diabetes-related pathways.ConclusionsThis study revealed the most significant miRNAs in uEVs of patients with T2DM. However, as this is a bioinformatic prediction that we performed based on the putative targets of the identified miRNAs. Thus, further in vitro functional studies are needed to confirm our findings. Knowing the fact that EVs are crucial in transferring miRNAs, there is a great need toto discover their involvement in the pathomechanism of T2DM-related kidney disease.

Effect of Cannabidiolic Acid, N-Trans-Caffeoyltyramine and Cannabisin B from Hemp Seeds on microRNA Expression in Human Neural Cells.

Given the increasing interest in bioactive dietary components that can modulate gene expression enhancing human health, three metabolites isolated from hemp seeds—cannabidiolic acid, N-trans-caffeoyltyramine, and cannabisin B—were examined for their ability to change the expression levels of microRNAs in human neural cells. To this end, cultured SH-SY5Y cells were treated with the three compounds and their microRNA content was characterized by next-generation small RNA sequencing. As a result, 31 microRNAs underwent major expression changes, being at least doubled or halved by the treatments. A computational analysis of the biological pathways affected by these microRNAs then showed that some are implicated in neural functions, such as axon guidance, hippocampal signaling, and neurotrophin signaling. Of these, miR-708-5p, miR-181a-5p, miR-190a-5p, miR-199a-5p, and miR-143-3p are known to be involved in Alzheimer’s disease and their expression changes are expected to ameliorate neural function. Overall, these results provide new insights into the mechanism of action of hemp seed metabolites and encourage further studies to gain a better understanding of their biological effects on the central nervous system.

MiRNome-transcriptome analysis unveils the key regulatory pathways involved in the tumorigenesis of tongue squamous cell carcinoma.

Tongue squamous cell carcinoma (TSCC) is considered the most common malignant tumor among the oral squamous cell carcinomas with a poor prognosis. Understanding the underlying molecular mechanisms that underpin TSCC and its treatments is the focus of the research. Deregulated expression of microRNAs (miRNAs) has recently been implicated in various biological processes linked to cancer. Therefore, in this study, we attempted to investigate miRNAs and their targets expressed in TSCC, which could be involved in its oncogenesis. We performed next-generation sequencing of small RNAs and transcriptomes in H357 TSCC cell line and human oral keratinocytes as a control to find miRNAs and mRNAs that are differentially expressed (DE), which were then supplemented with additional expression datasets from databases, yielding 269 DE miRNAs and 2094 DE genes. The target prediction followed by pathway and disease function analysis revealed that the DE targets were significantly associated with the key processes and pathways, such as apoptosis, epithelial-mesenchymal transition, endocytosis and vascular endothelial growth factor signaling pathways. Furthermore, the top 12 DE targets were chosen based on their involvement in more than one cancer-related pathway, of which 6 genes are targeted by miR-128-3p. Real-time quantitative PCR validation of this miRNA and its targets in H357 and SCC9 TSCC cells confirmed their possible targeting from their reciprocal expression, with MAP2K7 being a critical target that might be involved in oncogenesis and progression of TSCC by acting as a tumor suppressor. Further research is underway to understand how miR-128-3p regulates oncogenesis in TSCC via MAP2K7 and associated pathways.

Natural killer (NK) cell-derived extracellular-vesicle shuttled microRNAs control T cell responses.

Natural killer (NK) cells recognize and kill target cells undergoing different types of stress. NK cells are also capable of modulating immune responses. In particular, they regulate T cell functions. Small RNA next-generation sequencing of resting and activated human NK cells and their secreted extracellular vesicles (EVs) led to the identification of a specific repertoire of NK-EV-associated microRNAs and their post-transcriptional modifications signature. Several microRNAs of NK-EVs, namely miR-10b-5p, miR-92a-3p, and miR-155-5p, specifically target molecules involved in Th1 responses. NK-EVs promote the downregulation of GATA3 mRNA in CD4+ T cells and subsequent TBX21 de-repression that leads to Th1 polarization and IFN-γ and IL-2 production. NK-EVs also have an effect on monocyte and moDCs (monocyte-derived dendritic cells) function, driving their activation and increased presentation and costimulatory functions. Nanoparticle-delivered NK-EV microRNAs partially recapitulate NK-EV effects in mice. Our results provide new insights on the immunomodulatory roles of NK-EVs that may help to improve their use as immunotherapeutic tools.

Circulating small RNA signatures differentiate accurately the subtypes of muscular dystrophies: small-RNA next-generation sequencing analytics and functional insights

ABSTRACT Muscular dystrophies are a group of rare and severe inherited disorders mainly affecting the muscle tissue. Duchene Muscular Dystrophy, Myotonic Dystrophy types 1 and 2, Limb Girdle Muscular Dystrophy and Facioscapulohumeral Muscular Dystrophy are some of the members of this family of disorders. In addition to the current diagnostic tools, there is an increasing interest for the development of novel non-invasive biomarkers for the diagnosis and monitoring of these diseases. miRNAs are small RNA molecules characterized by high stability in blood thus making them ideal biomarker candidates for various diseases. In this study, we present the first genome-wide next-generation small RNA sequencing in serum samples of five different types of muscular dystrophy patients and healthy individuals. We identified many small RNAs including miRNAs, lncRNAs, tRNAs, snoRNAs and snRNAs, that differentially discriminate the muscular dystrophy patients from the healthy individuals. Further analysis of the identified miRNAs showed that some miRNAs can distinguish the muscular dystrophy patients from controls and other miRNAs are specific to the type of muscular dystrophy. Bioinformatics analysis of the target genes for the most significant miRNAs and the biological role of these genes revealed different pathways that the dysregulated miRNAs are involved in each type of muscular dystrophy investigated. In conclusion, this study shows unique signatures of small RNAs circulating in five types of muscular dystrophy patients and provides a useful resource for future studies for the development of miRNA biomarkers in muscular dystrophies and for their involvement in the pathogenesis of the disorders.

HIV-1 Tat and cocaine coexposure impacts piRNAs to affect astrocyte energy metabolism.

Aim: To understand the effect of HIV infection and cocaine exposure on piRNA expression in human primary astrocytes. Materials & methods: We used small RNA sequencing analysis to investigate the impacts of HIV-1 Tat and cocaine coexposure on the expression of piRNAs in human primary astrocytes. Results: We identified 27,700 piRNAs and analyzed them by small RNA next-generation sequencing. A total of 239 piRNAs were significantly altered by HIV-1 Tat and cocaine coexposure. We also identified PIWIL1, PIWIL2, PIWIL3 and PIWIL4 as interacting partners of piRNAs that were affected by cocaine and HIV-1 Tat coexposure. Epigenetic changes in the expression levels of these piRNA targets were associated with Kyoto Encyclopedia of Genes and Genomes pathways of energy metabolism and neurodegeneration. Conclusion: These findings provide evidence that cocaine exposure and HIV infection affect the expression levels of piRNA, PIWIL1, PIWIL2, PIWIL3 and PIWIL4.

MiRNA expression deregulation correlates with the Oncotype DX® DCIS score

BackgroundCurrent clinical criteria do not discriminate well between women who will or those who will not develop ipsilateral invasive breast cancer (IBC), or a DCIS recurrence after a ductal carcinoma in situ (DCIS) diagnosis. The 12-gene Oncotype DX® DCIS assay (RT qPCR gene-based scoring system) was established and shown to predict the risk of subsequent ipsilateral IBC or DCIS recurrence. Recent studies have shown that microRNA (miRNA) expression deregulation can contribute to the development of IBC, but very few have evaluated miRNA deregulation in DCIS lesions. In this study, we sought to determine whether specific miRNA expression changes may correlate with Oncotype DX® DCIS scores.MethodsFor this study, we used archived formalin-fixed, paraffin-embedded (FFPE) specimens from 41 women diagnosed with DCIS between 2012 and 2018. The DCIS lesions were stratified into low (n = 26), intermediate (n = 10), and high (n = 5) risk score groups using the Oncotype DX® DCIS assay. Total RNA was extracted from DCIS lesions by macro-dissection of unstained FFPE sections, and next-generation small-RNA sequencing was performed. We evaluated the correlation between miRNA expression data and Oncotype score, as well as patient age. RT-qPCR validations were performed to validate the topmost differentially expressed miRNAs identified between the different risk score groups.ResultsMiRNA sequencing of 32 FFPE DCIS specimens from the three different risk group scores identified a correlation between expression deregulation of 17 miRNAs and Oncotype scores. Our analyses also revealed a correlation between the expression deregulation of 9 miRNAs and the patient’s age. Based on these results, a total of 15 miRNAs were selected for RT-qPCR validation. Of these, miR-190b (p = 0.043), miR-135a (p = 0.05), miR-205 (p = 0.00056), miR-30c (p = 0.011), and miR-744 (p = 0.038) showed a decreased expression in the intermediate/high Oncotype group when compared to the low-risk score group. A composite risk score was established using these 5 miRNAs and indicated a significant association between miRNA expression deregulation and the Oncotype DX® DCIS Score (p < 0.0021), between high/intermediate and low risk groups.ConclusionsOur analyses identified a subset of 5 miRNAs able to discriminate between Oncotype DX® DCIS score subgroups. Together, our data suggest that miRNA expression analysis may add value to the predictive and prognostic evaluation of DCIS lesions.

A Next-Generation Sequencing of Plasma Exosome-Derived microRNAs and Target Gene Analysis with a Microarray Database of Thermally Injured Skins: Identification of Blood-to-Tissue Interactions at Early Burn Stage.

BackgroundPlasma exosome-derived microRNA (miRNA) profiles following thermal injury and their relationship with gene expression derangements in burned skin remain unexplored. This study focused on the identification of key miRNA-mRNA axes in potential blood-to-tissue interactions at early burn stage.MethodsPlasma exosomes were obtained from 6 severe burn patients 4–7 days post injury and 6 healthy volunteers. Next-generation sequencing (NGS) of exosomal small RNAs presented the differentially expressed miRNAs (DEMs). Target genes of the DEMs were predicted in the mirDIP database. Dataset GSE8056 was enrolled to acquire differentially expressed genes (DEGs) in burned skin compared to normal skin. Overlap between the DEGs and target genes of the DEMs were focus genes. The protein–protein interaction (PPI) network and enrichment analyses of the focus genes demonstrated hub genes and suggested underlying mechanisms and pathways. The hub genes and upstream DEMs were selected to construct key miRNA-mRNA axes.ResultsThe NGS of plasma exosome-derived small RNAs identified 85 DEMs (14 downregulated miRNAs and 71 upregulated miRNAs) with 12,901 predicted target genes. Dataset GSE8056 exhibited 1861 DEGs in partial-thickness burned skins 4–7 days postburn. The overlap between DEGs and target genes of DEMs displayed 1058 focus genes. The top 9 hub genes (CDK1, CCNB1, CCNA2, BUB1B, PLK1, KIF11, AURKA, NUSAP1 and CDCA8) in the PPI network of the focus genes pointed to 16 upstream miRNAs in DEMs, including 4 downregulated miRNAs (hsa-miR-6848-3p, has-miR-4684-3p, has-miR-4786-5p and has-miR-365a-5p) and 12 upregulated miRNAs (hsa-miR-6751-3p, hsa-miR-718, hsa-miR-4754, hsa-miR-6754-3p, hsa-miR-4739, hsa-miR-6739-5p, hsa-miR-6884-3p, hsa-miR-1224-3p, hsa-miR-6878-3p, hsa-miR-6795-3p, hsa-miR-550a-3p, and hsa-miR-550b-3p). A key miRNA-mRNA network in potential blood-to-tissue interactions at early burn stage was therefore constructed.ConclusionAn NGS and bioinformatic analysis in the study identified key miRNA-mRNA axes in potential blood-to-tissue interactions at early burn stage, suggesting plasma exosome-derived miRNAs may impact on the alteration patterns of gene expressions in a burn wound.

Priming With Toll-Like Receptor 3 Agonist Poly(I:C) Enhances Content of Innate Immune Defense Proteins but Not MicroRNAs in Human Mesenchymal Stem Cell-Derived Extracellular Vesicles.

Mesenchymal stem cells (MSCs) help fight infection by promoting direct bacterial killing or indirectly by modulating the acute phase response, thereby decreasing tissue injury. Recent evidence suggests that extracellular vesicles (EVs) released from MSCs retain antimicrobial characteristics that may be enhanced by pretreatment of parent MSCs with the toll-like receptor 3 (TLR3) agonist poly(I:C). Our aim was to determine whether poly(I:C) priming can modify EV content of miRNAs and/or proteins to gain insight into the molecular mechanisms of their enhanced antimicrobial function. Human bone marrow-derived MSCs were cultured with or without 1 μg/ml poly(I:C) for 1 h and then conditioned media was collected after 64 h of culture in EV-depleted media. Mass spectrometry and small RNA next-generation sequencing were performed to compare proteomic and miRNA profiles. Poly(I:C) priming resulted in 49 upregulated EV proteins, with 21 known to be important in host defense and innate immunity. In contrast, EV miRNA content was not significantly altered. Functional annotation clustering analysis revealed enrichment in biological processes and pathways including negative regulation of endopeptidase activity, acute phase, complement and coagulation cascades, innate immunity, immune response, and Staphylococcus aureus infection. Several antimicrobial peptides identified in EVs remained unaltered by poly(I:C) priming, including dermcidin, lactoferrin, lipocalin 1, lysozyme C, neutrophil defensin 1, S100A7 (psoriasin), S100A8/A9 (calprotectin), and histone H4. Although TLR3 activation of MSCs improves the proteomic profile of EVs, further investigation is needed to determine the relative importance of particular functional EV proteins and their activated signaling pathways following EV interaction with immune cells.

Exploring the molecular content of CHO exosomes during bioprocessing

In biopharmaceutical production, Chinese hamster ovary (CHO) cells derived from Cricetulus griseus remain the most commonly used host cell for recombinant protein production, especially antibodies. Over the last decade, in-depth multi-omics characterization of these CHO cells provided data for extensive cell line engineering and corresponding increases in productivity. However, exosomes, extracellular vesicles containing proteins and nucleic acids, are barely researched at all in CHO cells. Exosomes have been proven to be a ubiquitous mediator of intercellular communication and are proposed as new biopharmaceutical format for drug delivery, indicator reflecting host cell condition and anti-apoptotic factor in spent media. Here we provide a brief overview of different separation techniques and subsequently perform a proteome and regulatory, non-coding RNA analysis of exosomes, derived from lab-scale bioreactor cultivations of a CHO-K1 cell line, to lay out reference data for further research in the field. Applying bottom-up orbitrap shotgun proteomics and next-generation small RNA sequencing, we detected 1395 proteins, 144 micro RNA (miRNA), and 914 PIWI-interacting RNA (piRNA) species differentially across the phases of a batch cultivation process. The exosomal proteome and RNA data are compared with other extracellular fractions and cell lysate, yielding several significantly exosome-enriched species.Graphical Key points• First-time comprehensive protein and miRNA characterization of CHO exosomes.• Isolation protocol and time point of bioprocess strongly affect quality of extracellular vesicles.• CHO-derived exosomes also contain numerous piRNA species of yet unknown function.

Longitudinal profiling of circulating miRNA during cardiac allograft rejection: a proof-of-concept study.

AimsAllograft rejection following heart transplantation (HTx) is a serious complication even in the era of modern immunosuppressive regimens and causes up to a third of early deaths after HTx. Allograft rejection is mediated by a cascade of immune mechanisms leading to acute cellular rejection (ACR) and/or antibody‐mediated rejection (AMR). The gold standard for monitoring allograft rejection is invasive endomyocardial biopsy that exposes patients to complications. Little is known about the potential of circulating miRNAs as biomarkers to detect cardiac allograft rejection. We here present a systematic analysis of circulating miRNAs as biomarkers and predictors for allograft rejection after HTx using next‐generation small RNA sequencing.Methods and resultsWe used next‐generation small RNA sequencing to investigate circulating miRNAs among HTx recipients (10 healthy controls, 10 heart failure patients, 13 ACR, and 10 AMR). MiRNA profiling was performed at different time points before, during, and after resolution of the rejection episode. We found three miRNAs with significantly increased serum levels in patients with biopsy‐proven cardiac rejection when compared with patients without rejection: hsa‐miR‐139‐5p, hsa‐miR‐151a‐5p, and hsa‐miR‐186‐5p. We identified miRNAs that may serve as potential predictors for the subsequent development of ACR: hsa‐miR‐29c‐3p (ACR) and hsa‐miR‐486‐5p (AMR). Overall, hsa‐miR‐486‐5p was most strongly associated with acute rejection episodes.ConclusionsMonitoring cardiac allograft rejection using circulating miRNAs might represent an alternative strategy to invasive endomyocardial biopsy.

Plasma miRNAs improve the prediction of coronary atherosclerosis in patients with rheumatoid arthritis.

MicroRNAs (miRNAs) regulate gene expression and are disease biomarkers. Rheumatoid arthritis (RA) patients have accelerated atherosclerosis leading to excess cardiovascular morbidity and mortality, but traditional risk factors for cardiovascular risk stratification are inadequate. In the general population, miRNAs improve cardiovascular risk estimation beyond traditional risk factors. Our objective was to develop a miRNA panel that predicts coronary atherosclerosis in RA patients. Plasma small RNA next-generation sequencing (NGS) was performed on 161 RA patients whose Agatston scores for coronary artery calcium were previously measured. Random forest analysis of plasma NGS miRNA expression was used to determine which miRNAs best differentiated between those patients with and without coronary artery calcium. Top predictive miRNAs were assayed by quantitative PCR (qPCR). Elastic net regression was used to develop the most parsimonious models with qPCR-measured miRNA concentrations and clinical variables (age, sex, ACC/AHA 10-year risk score, DAS28 score, and diabetes) separately to predict the presence of coronary artery calcium and high coronary artery calcium. C-statistics were used to assess performance model performance. The top miRNAs which differentiated those with and without coronary atherosclerosis based on random forest analysis included let-7c-5p, miR-30e-5p, miR-30c-5p, miR-4446-3p, miR-126-5p, miR-3168, miR-425-5p, miR-126-3p, miR-30a-5p, and miR-125a-5p. For coronary artery calcium prediction, addition of all miRNAs except miR-126-3p to clinical factors improved the c-statistic modestly from 0.86 to 0.87. For high coronary artery calcium prediction, addition of all miRNAs except miR-30c-5p to clinical factors improved the c-statistic from 0.75 to 0.80. A plasma miRNA panel improved the prediction of high coronary artery calcium beyond traditional risk factors and RA disease activity. Further evaluation of the miRNA panel for prediction of coronary events in RA is necessary. Key Point • A plasma microRNA panel including let-7c-5p, miR-30a-5p, miR-30e-5p, miR-125a-5p, miR-126-3p, miR-126-5p, miR-425-5p, miR-3168, and miR-4446-3p improved the prediction of high coronary artery calcium beyond clinical factors in patients with rheumatoid arthritis.