Analysis Of miRNA Profiles Research Articles

Lactobacillus rhamnosus GG-derived extracellular vesicles promote wound healing via miR-21-5p-mediated re-epithelization and angiogenesis

Extracellular vesicles (EVs), especially those derived from stem cells, have emerged as a novel treatment for promoting wound healing in regenerative medicine. However, the clinical application of mammalian cells-derived EVs is hindered by their high cost and low yields. Inspired by the ability of EVs to mediate interkingdom communication, we explored the therapeutic potential of EVs released by the probiotic strain Lactobacillus rhamnosus GG (LGG) in skin wound healing and elucidated the underlying mechanism involved. Using full-thickness skin wound-healing mouse models, we found that LGG-EVs accelerated wound healing procedures, including increased re-epithelialization and promoted angiogenesis. Using in vitro experiments, we further demonstrated that LGG-EVs boosted the proliferation and migration capacities of both epithelial and endothelial cells, as well as promoted endothelial tube formation. miRNA profiling analysis revealed that miR-21-5p was highly enriched in LGG-EVs and LGG-EV treatment significantly increased miR-21-5p level in recipient cells. Mechanically, LGG-EVs induced regulatory effects via miR-21-5p mediated metabolic signaling rewiring. Our results suggest that EVs derived from LGG could serve as a promising candidate for accelerating wound healing and possibly for treating chronic and impaired healing conditions.Graphical abstract

Assessing reproductive effects and epigenetic responses in Austrolebias charrua exposed to Roundup Transorb®: Insights from miRNA profiling and molecular interaction analysis

This study examines the effects of Roundup Transorb® (RDT) exposure on reproductive functions and ovarian miRNA expression in Austrolebias charrua. Exposure to RDT (at 0.065 or 5 mg. L−1 for 96 h) significantly disrupts fertility, evidenced by changes in fertilization rates and egg diameter. Profiling of ovarian miRNAs identified a total 205 miRNAs in A. charrua. Among these, three miRNAs were upregulated (miR-10b-5p, miR-132–3p, miR-100–5p), while ten miRNAs were downregulated (miR-499–5p, miR-375, miR-205–5p, miR-206–3p, miR-203a-3p, miR-133b-3p, miR-203b-5p, miR-184, miR-133a-3p, miR-2188–5p) compared to non-exposed fish. This study reveals that differentially expressed miRNAs are linked to molecular pathways such as steroid hormone biosynthesis, lipid and carbohydrate metabolism, bioenergetics, and antioxidant defense. It also analyzes molecular interactions between miRNAs and target genes during RDT exposure in annual killifish, providing insights into biomarkers in ecotoxicology. Moreover, it provides scope for developing environmental health assessment models based on epigenomic endpoints, supporting the protection of biodiversity and ecosystem services through the quantification of stress responses in living organisms exposed to pesticides.

Mesenchymal stem cell-derived extracellular vesicles ameliorate renal interstitial fibrosis via the miR-13474/ADAM17 axis

Renal interstitial fibrosis (RIF) is a prevalent consequence of chronic renal diseases, characterized by excessive extracellular matrix (ECM) deposition. A Disintegrin and Metalloprotease 17 (ADAM17), a transmembrane metalloproteinase, plays a central role in driving renal fibrosis progression by activating Notch 1 protein and the downstream TGF-β signaling pathway. Our study investigated potential therapeutic interventions for renal fibrosis, focusing on human umbilical cord mesenchymal stem cell-derived extracellular vesicles (hucMSC-EVs). We found that hucMSC-EVs inhibit ADAM17, thereby impeding renal fibrosis progression. Analysis of hucMSC-EVs miRNA profiles revealed significant enrichment of miR-13474, which effectively targeted and inhibited ADAM17 mRNA expression, subsequently suppressing Notch1 activation, TGF-β signaling, and collagen deposition. Overexpression of miR-13474 enhanced hucMSC-EVs' inhibitory effect on renal fibrosis, while its downregulation abolished this protective effect. Our findings highlight the efficacy of hucMSC-EVs overexpressing miR-13474 in mitigating renal fibrosis via ADAM17 targeting. These insights offer potential therapeutic strategies for managing renal fibrosis.

Profiling microRNAs of earthworm, Perionyx excavatus and deciphering the expression of distinct novel miRNAs regulating epimorphosis regeneration

Earthworm, P. excavatus, is an ideal model organism for studying regeneration. Due to its prodigious regeneration capability, the amputated head part of the earthworm can regenerate completely within 22 days. MicroRNAs (miRNAs) regulate specific genes and are involved in essential biological processes, including regeneration. In this study, we conducted a comprehensive analysis of miRNA profiling of the earthworm, P. excavatus, during the process of anterior regeneration. Our investigation involved in the identification of 55 miRNAs from 30 distinct miRNA families that exhibit significant relevance to wound healing and regeneration. Notably, we have identified 50 novel miRNAs and predicted their pre-miRNA secondary structures using MIREAP. Both Known and Novel miRNAs are validated using qPCR. In addition, we employed the miRanda algorithm to predict the interactions between these miRNAs and their target mRNA transcripts. Based on the miRanda target prediction results, we identified the target genes such as Wnt, Myc, MAPK, SoxB, IHH, Hox, and Notch. These findings indicate that the potential targets of these miRNAs might play crucial roles in various functions related to wound healing, tissue restoration, and regeneration. Furthermore, the acquisition of these findings provides a unique perspective on understanding the molecular mechanisms driving epimorphosis regeneration in connection with miRNAs for the development of miRNA-based therapeutics.

A MiR181/Sirtuin1 regulatory circuit modulates drug response in biliary cancers

Despite recent advances, biliary tract cancer (BTC) remains one of the most lethal tumor worldwide due to late diagnosis, limited therapeutic strategies and resistance to conventional therapies. In recent years, high-throughput technologies have enabled extensive genome, and transcriptome sequencing unveiling, among others, the regulatory potential of microRNAs (miRNAs). Compelling evidence shown that miRNA are attractive therapeutic targets and promising candidates as biomarkers for various therapy-resistant tumors. The analysis of miRNA profile successfully identified miR-181c and -181d as significantly downregulated in BTC patients. Low miR-181c and -181d expression levels were correlated with worse prognosis and poor treatment efficacy. In fact, progression-free survival analysis indicated poor survival rates in miR-181c and -181d low expressing patients. The expression profile of miR-181c and -181d in BTC cell lines revealed that both miRNAs were dysregulated. Functional in vitro experiments in BTC cell lines showed that overexpression of miR-181c and -181d affected cell viability and increased sensitivity to chemotherapy compared to controls. In addition, by using bioinformatic tools we showed that the miR-181c/d functional role is determined by binding to their target SIRT1 (Sirtuin 1). Moreover, BTC patients expressing high levels of miR-181 and low SIRT1 shown an improved survival and treatment response. An integrative network analysis demonstrated that, miR-181/SIRT1 circuit had a regulatory effect on several important metabolic tumor-related processes. Our study demonstrated that miR-181c and -181d act as tumor suppressor miRNA in BTC, suggesting the potential use as therapeutic strategy in resistant cancers and as predictive biomarker in the precision medicine of BTC.

Machine learning-driven prediction of brain metastasis in lung adenocarcinoma using miRNA profile and target gene pathway analysis of an mRNA dataset.

Brain metastasis (BM) is common in lung adenocarcinoma (LUAD) and has a poor prognosis, necessitating predictive biomarkers. MicroRNAs (MiRNAs) promote cancer cell growth, infiltration, and metastasis. However, the relationship between the miRNA expression profiles and BM occurrence in patients with LUAD remains unclear. We conducted an analysis to identify miRNAs in tissue samples that exhibited different expression levels between patients with and without BM. Using a machine learning approach, we confirmed whether the miRNA profile could be a predictive tool for BM. We performed pathway analysis of miRNA target genes using a matched mRNA dataset. We selected 25 miRNAs that consistently exhibited differential expression between the two groups of 32 samples. The 25-miRNA profile demonstrated a strong predictive potential for BM in both Group 1 and Group 2 and the entire dataset (area under the curve [AUC] = 0.918, accuracy = 0.875 in Group 1; AUC = 0.867, accuracy = 0.781 in Group 2; and AUC = 0.908, accuracy = 0.875 in the entire group). Patients predicted to have BM, based on the 25-miRNA profile, had lower survival rates. Target gene analysis of miRNAs suggested that BM could be induced through the ErbB signaling pathway, proteoglycans in cancer, and the focal adhesion pathway. Furthermore, patients predicted to have BM based on the 25-miRNA profile exhibited higher expression of the epithelial-mesenchymal transition signature, TWIST, and vimentin than those not predicted to have BM. Specifically, there was a correlation between EGFR mRNA levels and BM. This 25-miRNA profile may serve as a biomarker for predicting BM in patients with LUAD.

MicroRNAs as biomarkers of brain injury in neonatal encephalopathy: an observational cohort study

Neonatal Encephalopathy (NE) is a major cause of lifelong disability and neurological complications in affected infants. Identifying novel diagnostic biomarkers in this population may assist in predicting MRI injury and differentiate neonates with NE from those with low-cord pH or healthy neonates and may help clinicians make real-time decisions. To compare the microRNA (miRNA) profiles between neonates with NE, healthy controls, and neonates with low cord pH. Moreover, miRNA concentrations were compared to brain injury severity in neonates with NE. This is a retrospective analysis of miRNA profiles from select samples in the biorepository and data registry at the University of Florida Health Gainesville. The Firefly miRNA assay was used to screen a total of 65 neurological miRNA targets in neonates with NE (n = 36), low cord pH (n = 18) and healthy controls (n = 37). Multivariate statistical techniques, including principal component analysis and orthogonal partial least squares discriminant analysis, and miRNA Enrichment Analysis and Annotation were used to identify miRNA markers and their pathobiological relevance. A set of 10 highly influential miRNAs were identified, which were significantly upregulated in the NE group compared to healthy controls. Of these, miR-323a-3p and mir-30e-5p displayed the highest fold change in expression levels. Moreover, miR-34c-5p, miR-491-5p, and miR-346 were significantly higher in the NE group compared to the low cord pH group. Furthermore, several miRNAs were identified that can differentiate between no/mild and moderate/severe injury in the NE group as measured by MRI. MiRNAs represent promising diagnostic and prognostic tools for improving the management of NE.

Bioinformatics analysis of the microRNA genes associated with type 2 cardiorenal syndrome

BackgroundMicroRNAs (miRNAs) are important regulatory factors in the normal developmental stages of the heart and kidney. However, it is currently unclear how miRNA is expressed in type 2 cardiorenal syndrome (CRS). This study aimed to detect the differential expression of miRNAs and to clarify the main enrichment pathways of differentially expressed miRNA target genes in type 2 CRS.MethodsFive cases of healthy control (Group 1), eight of chronic heart failure (CHF, Group 2) and seven of type 2 CRS (Group 3) were enrolled, respectively. Total RNA was extracted from the peripheral blood of each group. To predict the miRNA target genes and biological signalling pathways closely related to type 2 CRS, the Agilent miRNA microarray platform was used for miRNA profiling and bioinformatics analysis of the isolated total RNA samples.ResultsAfter the microarray analysis was done to screen for differentially expressed circulating miRNAs among the three different groups of samples, the target genes and bioinformatic pathways of the differential miRNAs were predicted. A total of 38 differential miRNAs (15 up- and 23 down-regulated) were found in Group 3 compared with Group 1, and a total of 42 differential miRNAs (11 up- and 31 down-regulated) were found in Group 3 compared to Group 2. According to the Gene Ontology (GO) function and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis, the top 10 lists of molecular functions, cellular composition and biological processes, and the top 30 signalling pathways of predicted gene targets of the differentially expressed miRNAs were discriminated among the three groups.ConclusionBetween the patients with CHF and type 2 CRS, miRNAs were differentially expressed. Prediction of target genes of differentially expressed miRNAs and the use of GO function and KEGG pathway analysis may reveal the molecular mechanisms of CRS. Circulating miRNAs may contribute to the diagnosis of CRS, and further and larger studies are needed to enhance the robustness of our findings.

Comprehensive analysis of miRNA profiling in Schistosoma mekongi across life cycle stages

Schistosoma mekongi, a significant schistosome parasite, has various life stages, including egg, cercaria, female, and male, that play crucial roles in the complex life cycle. This study aimed to explore the microRNA (miRNA) profiles across these developmental stages to understand their potential functions and evolutionary significance, which have not been studied. Pre-processed sequencing reads of small RNA (sRNA) were obtained, and annotations were performed against the S. japonicum reference miRNA database. Results indicated marked variations in miRNA profiles across different life stages, with notable similarities observed between female and male S. mekongi. Principal Coordinate Analysis (PCoA) and unsupervised clustering revealed distinct miRNA signatures for each stage. Gene ontology (GO) analysis unveiled the potential roles of these miRNAs in various biological processes. The differential expression of specific miRNAs was prominent across stages, suggesting their involvement in crucial developmental processes. Furthermore, orthologous miRNA analysis against various worm species revealed distinct presence–absence patterns, providing insights into the evolutionary relationships of these miRNAs. In conclusion, this comprehensive investigation into the miRNA profiles of S. mekongi offers valuable insights into the functional and evolutionary aspects of miRNAs in schistosome biology.

Identifying microRNA-Target Gene Pairs in Luminal B Breast Cancer Using Integrated Analysis of miRNA and Transcriptome Profiles

Identifying microRNA-Target Gene Pairs in Luminal B Breast Cancer Using Integrated Analysis of miRNA and Transcriptome Profiles

Exploring MicroRNA biogenesis, applications and bioinformatics analysis in livestock: A comprehensive review.

Small non-coding RNAs called microRNAs (miRNAs) control the expression of genes post-transcriptionally. Their correlation with commercial economic traits including milk, meat and egg production, as well as their effective role in animal productivity, fertility, embryo survival and disease resistance, make them significant in livestock research. The miRNAs exhibit distinct spatial and temporal expression patterns, offering insights into their functional roles within cells and tissues. Aberrant miRNA production can disrupt vital cellular processes and genetic networks, contributing to conditions like metabolic disorders and viral diseases. These short RNA molecules are present in extracellular fluids, displaying remarkable stability against RNA degradation enzymes and extreme environmental conditions. miRNAspreservation is facilitated through packaging in lipid vesicles or complex formation with RNA-binding proteins. Numerous studies have illuminated the roles of miRNAs in diverse physiological processes, including embryonic stem cell differentiation, haematopoietic stem cell proliferation and differentiation and the coordinated development of organ systems. The integration of miRNA profiling, next-generation sequencing and bioinformatics analysis paves the way for transformative advancements in livestock research and industry. The present review underscores the applications of miRNAs in livestock, showcasing their potential to improve breeding strategies, diagnose diseases and enhance our understanding of fundamental biological processes.

Sphingolipids in Childhood Asthma and Obesity (SOAP Study): A Protocol of a Cross-Sectional Study.

Asthma and obesity are two of the most common chronic conditions in children and adolescents. There is increasing evidence that sphingolipid metabolism is altered in childhood asthma and is linked to airway hyperreactivity. Dysregulated sphingolipid metabolism is also reported in obesity. However, the functional link between sphingolipid metabolism, asthma, and obesity is not completely understood. This paper describes the protocol of an ongoing study on sphingolipids that aims to examine the pathophysiology of sphingolipids in childhood asthma and obesity. In addition, this study aims to explore the novel biomarkers through a comprehensive multi-omics approach including genomics, genome-wide DNA methylation, RNA-Seq, microRNA (miRNA) profiling, lipidomics, metabolomics, and cytokine profiling. This is a cross-sectional study aiming to recruit 440 children from different groups: children with asthma and normal weight (n = 100), asthma with overweight or obesity (n = 100), overweight or obesity (n = 100), normal weight (n = 70), and siblings of asthmatic children with normal weight, overweight, or obesity (n = 70). These participants will be recruited from the pediatric pulmonology, pediatric endocrinology, and general pediatric outpatient clinics at Sidra Medicine, Doha, Qatar. Information will be obtained from self-reported questionnaires on asthma, quality of life, food frequency (FFQ), and a 3-day food diary that are completed by the children and their parents. Clinical measurements will include anthropometry, blood pressure, biochemistry, bioelectrical impedance, and pulmonary function tests. Blood samples will be obtained for sphingolipid analysis, serine palmitoyltransferase (SPT) assay, whole-genome sequencing (WGS), genome-wide DNA methylation study, RNA-Seq, miRNA profiling, metabolomics, lipidomics, and cytokine analysis. Group comparisons of continuous outcome variables will be carried out by a one-way analysis of variance or the Kruskal-Wallis test using an appropriate pairwise multiple comparison test. The chi-squared test or a Fisher's exact test will be used to test the associations between categorical variables. Finally, multivariate analysis will be carried out to integrate the clinical data with multi-omics data. This study will help us to understand the role of dysregulated sphingolipid metabolism in obesity and asthma. In addition, the multi-omics data from the study will help to identify novel genetic and epigenetic signatures, inflammatory markers, and mechanistic pathways that link asthma and obesity in children. Furthermore, the integration of clinical and multi-omics data will help us to uncover the potential interactions between these diseases and to offer a new paradigm for the treatment of pediatric obesity-associated asthma.

Integrated analysis of miRNA profiles and gut bacterial changes in Altica viridicyanea following antibiotic treatment.

The gut bacteria involves in insect homeostasis by playing essential roles in host physiology, metabolism, innate immunity, and so forth. microRNAs (miRNAs) are endogenous small noncoding RNAs that posttranscriptionally regulate gene expression to affect immune or metabolic processes in insects. For several non-model insects, the available knowledge on the relationship between changes in the gut bacteria and miRNA profiles is limited. In this study, we investigated the gut bacterial diversity, composition, and function from Altica viridicyanea feeding on normal- and antibiotic-treated host plants using 16S rRNA amplicon sequencing; antibiotics have been shown to affect the body weight and development time in A. viridicyanea, suggesting that the gut bacteria of the normal sample were more diverse and abundant than those of the antibiotic-fed group, and most of them were involved in various physical functions by enrichment analysis. Furthermore, we executed small RNA transcriptome sequencing using the two experimental groups to obtain numerous sRNAs, such as piRNAs, siRNAs, and known and novel miRNAs, by data mapping and quality control, and furthermore, a total of 224 miRNAs were identified as significantly differentially expressed miRNAs, of which some DEMs and their target genes participated in immune- and metabolism-related pathways based on GO and KEGG annotation. Besides, regarding the regulatory roles of miRNA and target genes, a interaction network of DEM-target gene pairs from eight immune- or metabolism-related signaling pathways were constructed. Finally, we discovered that DEMs from above pathways were significantly positively or negatively correlated with gut bacterial alterations following antibiotic treatment. Collectively, the observations of this study expand our understanding of how the disturbance of gut bacteria affects miRNA profiles in A. viridicyanea and provide new valuable resources from extreme ranges for future studies on the adaptive evolution in insects.

Analysis of fatty acid composition and miRNA profile in adipose tissue after application of Allium mongolicum Regel extract in diet of sheep

Extensive regulation of microRNAs (miRNAs) that belong to a type of endogenous small noncoding RNAs on gene expression in sheep has been recognised. Meanwhile, utilisation of water extract of Allium mongolicum Regel (WEA) in diet of sheep has been proved to regulate fatty acid composition and flavour in mutton. However, the regulatory mechanism remains unclear. We conducted miRNA and mRNA sequencing in this study. Briefly, 30 male small-tailed Han sheep (4.5 months old) were randomly assigned to two groups. A basal diet with 3.4 g·sheep−1·d−1 WEA supplementation (WEA group) or with no WEA supplementation (CON group) was fed to sheep, respectively. Subcutaneous and visceral adipose tissue samples were collected during slaughter after 75-day feeding experiment. We obtained 30 differentially expressed miRNAs (DE-miRNAs) after application of WEA in diet of sheep in subcutaneous adipose tissue. Likewise, 15 DE-miRNAs in visceral adipose tissue were identified. A total of 746 differentially expressed mRNAs (DE-mRNAs) with 90 lipid-related DE-mRNAs in subcutaneous adipose tissue and 569 DE-mRNAs with 73 lipid-related DE-mRNAs in visceral adipose tissue were identified after WEA supplementation. The intersection genes from predicted target genes of DE-miRNAs by databases and actual DE-mRNAs by mRNA sequencing were enriched in several lipid-related pathways both in subcutaneous adipose and in visceral adipose tissue. We constructed differential miRNAs-mRNAs networks by Cytoscape software. Our results will help to explain regulatory mechanism of fatty acid composition in mutton by dietary WEA and will provide a theoretical basis for rational use of the plant extract in diet of sheep. HIGHLIGHTS Utilisation of Allium mongolicum Regel water extract led to alterations of endogenous miRNA and gene expression profiles in subcutaneous and visceral adipose tissue of sheep. Allium mongolicum Regel water extract improved nutritional value and flavour of mutton by changing fatty acid composition in adipose tissue. Establishment of miRNA-mRNA regulatory network with regard to manipulation of fatty acid composition in mutton by Allium mongolicum Regel water extract, and provided a theoretical basis for rational utilisation of this plant extract in diet of sheep.

In silico analysis of serum miRNA profiles in seronegative and seropositive rheumatoid arthritis patients by small RNA sequencing.

Rheumatoid arthritis (RA) is a refractory autoimmune disease, affecting about 1% of the world's population. RA is divided into seronegative RA and seropositive RA. However, biomarkers for discriminating between seronegative and seropositive RA have not been reported. In this study, we profiled serum miRNAs in seronegative RA patients (N-RA), seropositive RA patients (P-RA) and healthy controls (HC) by small RNA sequencing. Results indicated that compared with HC group, there were one up-regulated and four downregulated miRNAs in N-RA group (fold change ≥ 2 and P value < 0.05); compared with P-RA group, there were two up-regulated and four downregulated miRNAs in N-RA group; compared with HC group, there were three up-regulated and four downregulated miRNAs in P-RA group. Among them, the level of hsa-miR-362-5p in N-RA group was up-regulated compared with that in HC group and P-RA group, and the level of hsa-miR-6855-5p and hsa-miR-187-3p in P-RA group was upregulated compared with that in N-RA group and HC group. Validation by qPCR confirmed that serum hsa-miR-362-5p level was elevated in N-RA group. Subsequently, by analyzing the target genes using RNAhybrid, PITA, Miranda and TargetScan and functions of differential miRNAs utilizing Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), we found that the target genes and molecular pathways regulated by miRNAs in seronegative RA and seropositive RA were roughly the same, and miRNAs in these two diseases may participate in the occurrence and development of diseases by regulating the immune system. In conclusion, this study revealed the profiles of serum miRNAs in seronegative and seropositive RA patients for the first time, providing potential biomarkers and targets for the diagnosis and treatment of seronegative and seropositive RA.

MicroRNAs involved in the trans-kingdom gene regulation in the interaction of maize kernels and Fusarium verticillioides

Maize ear rot is a widespread disease and the main pathogen is Fusarium verticillioides. Plant microRNAs (miRNAs) have great effects on disease resistance and it has been reported that maize miRNA participates in defense responses in maize ear rot. However, the trans-kingdom regulation of miRNAs between maize and F. verticillioides remains uncharacterized. In this study, the relationship between miRNA-like RNAs (milRNAs) of F. verticillioides and pathogenicity was investigated, followed by sRNA analysis and degradome sequencing of miRNA profiles and the target genes of maize and F. verticillioides after inoculation. It was found that the milRNA biogenesis positively regulated the pathogenicity of F. verticillioides by knocking out the gene FvDicer2-encoded Dicer-like protein in F. verticillioides. Following inoculation with F. verticillioides, 284 known and 6571 novel miRNAs were obtained in maize, including 28 miRNAs differentially expressed at multiple time points. The target genes of maize differentially expressed miRNAs in F. verticillioides mediated multiple pathways, including autophagy and MAPK signaling pathway. Fifty-one novel F. verticillioides milRNAs were predicted to target 333 genes in maize involved in MAPK signaling pathways, plant hormone signaling transduction and plant-pathogen interaction pathways. Additionally, the miR528b-5p in maize targeted the mRNA of FvTTP which encoded a twice transmembrane protein in F. verticillioides. The FvTTP-knockout mutants displayed decreased pathogenicity and reduced synthesis of fumonisins. Thus, by interfering with the translation of FvTTP, the miR528b-5p inhibited F. verticillioides infection. These findings suggested a novel function of miR528 in resisting F. verticillioides infection. The miRNAs identified in this research and their putative target genes can be used to further elucidate the trans-kingdom functions of microRNAs in plant pathogen interaction.

Transcriptomics and Proteomics Approach for the Identification of Altered Blood microRNAs and Plasma Proteins in Parkinson's Disease.

Parkinson's disease (PD) is a neurodegenerative disorder caused by the selective destruction of dopaminergic neurons (DA-nergic). Clinically, PD is diagnosed based on developing signs and symptoms. A neurological and physical examination and sometimes medical and family history also help in the diagnosis of PD. However, most of these features are visible when more than 80% of the dopaminergic neurons have degenerated. An understanding of the selective degeneration process at the cellular and molecular level and the development of new biomarkers are required for effective PD management. Several studies have been carried out using a selected set of miRNAs/ mRNAs and proteins to develop biomarkers of PD; however, an unbiased and combined miRNA-protein profiling study was required to identify the markers of progressive and selected degeneration of dopaminergic neurons in PD patients. In the present study, we have carried out global protein profiling through LC-MS/MS and miRNA profiling by using a "brain-specific" miRNA array panel of 112 miRNAs in PD patients and healthy controls to find the unprejudiced group of proteins and miRNAs that are deregulating in PD. In the whole blood samples of PD patients compared to healthy controls, the expression of 23 miRNAs and 289 proteins was significantly increased, whereas the expression of 4 miRNAs and 132 proteins was considerably downregulated. Network analysis, functional enrichment, annotation, and analysis of miRNA-protein interactions were alsoperformed as part of the bioinformatics investigation of the discovered miRNAs and proteins revealing several pathways that lead to PD development and pathogenesis. Based on the analysis of miRNA and protein profiling, we have identified four miRNAs (hsa-miR-186-5p, miR-29b, miR-139 & has-miR-150-5p) and four proteins (YWHAZ, PSMA4, HYOU1, & SERPINA1), which can be targeted for the development of new biomarkers of PD. In vitro studies have identified the role of miR-186-5p in regulating the levels of the YWHAZ/YWHAB & CALM2 gene, which has shown maximum downregulation in PD patients and is known for its role in neuroprotection from apoptotic cell death & calcium regulation. In conclusion, our research has identified a group of miRNA-proteins that can be developed as PD biomarkers; however, future studies on the release of these miRNAs and proteins in extracellular vesicles circulating in the blood of PD patients can further validate these as specific biomarkers of PD.

Alterations in Abundance and Compartmentalization of miRNAs in Blood Plasma Extracellular Vesicles and Extracellular Condensates during HIV/SIV Infection and Its Modulation by Antiretroviral Therapy (ART) and Delta-9-Tetrahydrocannabinol (Δ9-THC).

Alterations in Abundance and Compartmentalization of miRNAs in Blood Plasma Extracellular Vesicles and Extracellular Condensates during HIV/SIV Infection and Its Modulation by Antiretroviral Therapy (ART) and Delta-9-Tetrahydrocannabinol (Δ9-THC).

Comprehensive analysis of immune parameters, mRNA and miRNA profiles, and immune genes expression in the gill of rainbow trout infected with infectious hematopoietic necrosis virus (IHNV)

Rainbow trout (Oncorhynchus mykiss) is a species of cold-water fish with important economic values, widely cultivated worldwide. However, the outbreak of infectious hematopoietic necrosis virus (IHNV) caused the large-scale death of rainbow trout and seriously restricted the development of the trout farming industry. In this study, the changes of immune parameters in different periods (6-, 12-, 24-, 48-, 72-, 96-, 120-, and 144 h post-infection (hpi)), transcriptome profiles of 48 hpi (T48G) compared to control (C48G), and key immune-related genes expression patterns were measured in rainbow trout gill following IHNV challenge through biochemical methods, RNA sequencing (RNA-seq), and quantitative real-time polymerase chain reaction (qRT-PCR). The results showed that alkaline phosphatase (AKP), acid phosphatase (ACP), total superoxide dismutase (T-SOD), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) activities, as well as lysozyme (LZM) and malonaldehyde (MDA) content decreased and then increased during infection, and remained at a high level after 48 hpi (P < 0.05), whereas catalase (CAT) activity showed a significant peak at 48 hpi (P < 0.05). The mRNA and miRNA analysis identified 4343 differentially expressed genes (DEGs) and 11 differentially expressed miRNAs (DEMs), and numerous immune-related DEGs involved in the Toll-like receptor signaling pathway, apoptosis, DNA replication, p53 signaling, RIG-I-like receptor signaling pathway, and NOD-like receptor signaling pathway and expression were significantly up-regulated in T48Gm group, including tlr3, tlr7, tlr8, traf3, ifih1, trim25, dhx58, ddh58, hsp90a.1, nlrc3, nlrc5, socs3, irf3, irf7, casp7, mx1, and vig2. The integrated analysis identified several important miRNAs (ola-miR-27d-3p_R+5, gmo-miR-124-3-5p, ssa-miR-301a-5p_L+2, and ssa-miR-146d-3p) that targeted key immune-related DEGs. Expression analysis showed that tlr3, tlr7, traf3, ifih1, dhx58, hap90a.1, irf3, irf7, and mx1 genes increased and then decreased during infection, and peaked at 72 hpi (P < 0.05). However, trim25 expression peaked at 96 hpi (P < 0.05). This study contributes to understanding immune response of rainbow trout against IHNV infection, and provides new insights into the immune regulation mechanisms and disease resistance breeding studies.

Abstract P017: Early detection of ovarian cancer in high-risk individuals using circulating miRNAs: The MiDe study

Abstract Background: Epithelial ovarian cancers generally carry a poor prognosis due to late-stage presentation and a high rate of disease recurrence. In contrast, diagnosis of early-stage disease is associated with a high rate of durable remission. Prior studies using archival samples have suggested that a neural network analysis of circulating miRNA expression levels may be an informative biomarker for early-stage ovarian cancer diagnosis. Methods: The miRNA Detection Study (MiDe Study) is a prospective, observational clinical trial open to individuals in all 50 U.S. states. Persons with at least one ovary classified as being at high-risk for ovarian cancer, either due to known genetic predisposition or family history suggestive of possible hereditary breast and ovarian cancer syndrome or Lynch syndrome, are eligible to enroll. Study subjects will submit a blood sample every 6 months for up to 5 years. Neural network analysis of serum miRNA profiles will be correlated with the subsequent diagnosis of ovarian cancer or serous tubal intraepithelial carcinoma, either clinically or at the time of risk-reducing salpingectomy or salpingo-oophorectomy. The primary outcomes are the sensitivity and specificity of the neural network for anticipating a diagnosis of epithelial ovarian cancer or a cancer precursor within 2 years of the index blood sample. The goal recruitment is 1000 study subjects. Based on a presumed cancer incidence of 0.5-1% per year among this population, approximately 25 incident cancers or precursors are expected to be diagnosed over the timespan of the study. Results: Enrollment began in September 2019. As of August 1, 2022, 372 subjects had consented to the study. Among study subjects, 270/372 (72.5%) carry a known mutation in BRCA1/2, 63/372 (16.9%) carry a known mutation in a different high-risk gene (e.g., PALB2, BRIP1), and 39/372 (10.5%) are considered high-risk due to a mutation in a gene potentially related to ovarian cancer (e.g., ATM, CHEK2) or based on family history alone. To date, 215 (57.8%) participants have contributed at least one sample, among whom 90/215 (41.9%) of subjects have contributed multiple blood samples. Among the study subjects who have given a sample, 2/215 (0.9%) have been later diagnosed with ovarian cancer. Conclusions: The MiDe Study seeks to establish the feasibility of a circulating miRNA-based test for early diagnosis of epithelial ovarian cancer among high-risk individuals. The results of this study will clarify the performance of the neural network test among a high-risk population and inform subsequent interventional trials. Citation Format: Kevin M. Elias, Dipanjan Chowdhury, Judy Garber, Ryan C. Buehler. Early detection of ovarian cancer in high-risk individuals using circulating miRNAs: The MiDe study. [abstract]. In: Proceedings of the AACR Special Conference: Precision Prevention, Early Detection, and Interception of Cancer; 2022 Nov 17-19; Austin, TX. Philadelphia (PA): AACR; Can Prev Res 2023;16(1 Suppl): Abstract nr P017.