Relevant miRNAs Research Articles

Biosensor development for diabetes diagnosis: Determining relevant miRNA using a newly developed N-annulated perylene fluorescent dye

MicroRNAs (miRNAs) have emerged as essential biomarkers for disease diagnosis, and several techniques are available to determine type 2 diabetes (T2D) relevant miRNAs. However, detecting circulating miRNAs can be challenging due to their small size, low abundance, and high sequence similarity, often requiring sensitive detection approaches combined with additional amplification processes. Laser-induced fluorescence (LIF) is a classic analytical method suitable for sensitively detecting trace amounts of nucleotide acid. Duplex-specific nuclease (DSN)-mediated amplification recently gained attention due to its catalytic activity based on target recycling, demonstrating a promising approach for miRNA amplification. This work developed a novel N-annulated perylene fluorescent dye to create a biosensor to analyze the miRNA (miR-223) relevant to T2D. The amine-reactive fluorescent dye assists the amidation reaction for nucleotide labeling, giving the oligonucleotide probe a high fluorescence quantum yield and sufficient water solubility. By combining the locked nucleic acid (LNA) modified oligonucleotide fluorescent probe to enhance the stability of LNA/RNA hybrids, thereby improving the DSN-mediated target miR-223 recycling for signal amplification, the proposed biosensor can highly selectively determine miR-223 with a limit of detection (LOD, S/N = 3) of 9.5 pM. When applied to real-world samples, the biosensor demonstrated its potential to distinguish between T2D patients and healthy controls.

Colorectal cancer cell-derived exosomal miRNA-372-5p induces immune escape from colorectal cancer via PTEN/AKT/NF-κB/PD-L1 pathway

Tumor cells can escape immune surveillance by changing their own escape or expressing abnormal genes and proteins, resulting in unlimited proliferation and invasive growth of cells. These changes are related to microRNAs (miRNAs), which reduce the killing effect of immune cells, devastate the immune response, and interfere with apoptosis through the aberrant expression of relevant miRNAs. In the preliminary phase of this study, miRNAs in clinical plasma exosomes of colorectal cancer patients were differentially analyzed by RNA sequencing technology, and miR-372-5p derived from extracellular vesicles (sEVs) was found to be a key signaling molecule mediating the regulation of macrophages by colorectal cancer (CRC). miRNA-372-5p is upregulated in colorectal cancer patient tissues and serum, as well as colorectal cancer cell lines and their exosomes. Subsequently, we found that macrophages could take up sEV secreted by colorectal cancer cells HCT116, affecting the expression of the immune checkpoint PD-L1, resulting in the generation of a tumor-immunosuppressive microenvironment and suppression of T cell activation in CRC. Gene enrichment mapping and database revealed that miR-372-5p regulates PD-L1 expression in colorectal cancer through the homologous phosphatase-tensin (PTEN)-phosphatidylinositol 3-kinase-protein kinase B (AKT)-nuclear factor-κB (NF-κB) pathway. Further studies confirmed that miRNA-372-5p-treated macrophages co-cultured with T cells affected the regulation of PD-L1 expression through the PTEN/AKT/NF-κB signaling pathway, resulting in decreased CD3+CD8+ T cell activity, decreased cytokine IL-2 and increased IFN-γ. And miRNA-372-5p could down-regulate the expression of PD-L1 in HCT116 through the PTEN/AKT/NF-κB pathway, inhibit tumor cell proliferation and promote apoptosis. Conclusion: Colorectal cancer cell-derived exosome miR-372-5p can be phagocytosed by colorectal cancer and macrophage cells, regulate the expression of PD-L1 in colorectal cancer cells and macrophages by targeting the PTEN/AKT/NF-κB pathway, and induce the immunosuppressive microenvironment of CRC to promote CRC development. This suggests that inhibiting the secretion of HCT116-specific sEV-miR-372-5p or targeting PD-L1 in tumor-associated macrophages could be a novel approach for CRC treatment and possibly a sensitizing approach for CRC anti-PD-L1 therapy.

Transcriptomic Analysis and Finding of Potential Key mRNA Expression Profile in Human Cumulus Cells During in Vitro Culture and Different Passages Based on Integrated Bioinformatics Analysis.

This study leveraged microarray datasets to investigate differentially expressed genes (DEGs) in cumulus cells and their relevance in predicting the successful implantation of embryos in human in-vitro fertilization procedures. The microarray data were obtained from the GEO database, encompassing samples of cumulus cells during in vitro culture and different passages. To ensure data consistency, inter-batch normalization was performed, and Principal Component Analysis (PCA) was applied to assess the impact of normalization on sample group clustering. The integrated dataset included samples from cumulus cells during in vitro culture, comprising 17,662 genes. Utilizing the "limma" software package, 1906 DEGs were identified, with 437 genes downregulated and 589 genes upregulated in the cumulus cells of infertility cases, while 748 genes were upregulated, and 1317 genes were downregulated in cumulus cells of successful implantation cases. Functional enrichment analysis utilized Gene Ontology, Metascape, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment tools. Biological processes and molecular functions were enriched, including protein targeting, mRNA processing, and molecular binding among the identified DEGs. Furthermore, target prediction and functional enrichment analysis of microRNAs (miRNAs) revealed 25 key genes and 13 relevant miRNAs were identified. Notably, hsa-miR-149, hsa-miR23b, hsa-miR-877, hsa-miR593, hsa-miR-18a, hsa-miR25, hsa-miR185, mmu-miR-207, hsa-miR425, hsa-miR214, hsa-miR-129, hsa-miR-629, and hsa-miR-194 emerged as the most prominent miRNAs with potential regulatory roles in successful embryo implantation. This comprehensive analysis provides valuable insights into the molecular mechanisms underlying embryo implantation, offering potential targets for further research and therapeutic interventions in assisted reproductive technologies.

Insights into multidrug resistance mechanisms: Exploring distinct miRNAs as prospective therapeutic agents in triple negative breast cancer

Triple Negative Breast Cancer (TNBC) constitutes 12–17 % of breast cancers and is distinguished by the absence of hormone receptor expression, deviating from other breast cancer types. Coupled with its elevated proliferation index, TNBC develops multidrug resistance, diminishing treatment efficacy, weakening disease prognosis, and leading to an aggressive clinical course. This study aimed to assess ABCB1, ABCC1, ABCG2, and ABCC9 gene expression, which play a primary role in the development of multidrug resistance, alongside miRNAs (miR-466, miR-4539, miR-659-3p, miR-3123, miR-3133, and miR-655-3p) targeting these genes. While ABCB1 (p = 0.433), ABCC1 (p < 0.05), and ABCG2 (p < 0.05) exhibited increased expression in tumor tissues, ABCC9 (p = 0.587) did not. miR-466 (p = 0.802), miR-4539 (p = 0.732), miR-659-3p (p = 0.807), and miR-3123 (p = 0.980) were upregulated, whereas miR-3133 (p < 0.05) and miR-655-3p (p = 0.190) were downregulated. Within the scope of our study, we also evaluated the clinical parameters like tumor size, stage, and neoadjuvant treatment that significantly impacted Progression Free Survival (PFS) and Overall Survival (OS). Considering these results, we found that the metastatic status significantly influenced PFS and OS. Chemotherapeutics were found to not affect survival times. Assessing the impact of miRNAs, which we view as potential therapeutic targets, on average survival revealed that elevated miR-3133 expression was correlated with shorter PFS and OS, whereas decreased miR-655-3p expression was associated with longer PFS and OS. In summary, the relevant miRNAs could serve as predictive biomarkers for drug response and aid in developing miRNA-targeted gene therapy strategies.

High-throughput sequencing analysis of differential microRNA expression in the process of blocking the progression of chronic atrophic gastritis to gastric cancer by Xianglian Huazhuo formula.

To explore the mechanism of Xianglian Huazhuo formula (, XLHZ) blocking the development of chronic atrophic gastritis (CAG) to gastric cancer (GC) through bioinformatics analysis and in vitro. Pathological morphology of gastric mucosa of rats were observed. High-throughput sequencing was used to analyze the miRNA expression profile of gastric mucosa. The miRanda, miRDB and miRWalk databases were used to predict the differential target genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed for differential target genes. Real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to verify the differentially expressed miRNAs and target genes. Western blot, EdU, wound healing and flow cytometry were used to observe the effect of XLHZ on epithelial-mesenchymal transition (EMT) markers, proliferation, migration, apoptosis and cell cycle of CAG cells in vitro. A total of five differentially expressed miRNAs and four differential target genes were screened in this study. GO analysis showed that the target genes were enriched in regulation of neuron development, regulation of transcription factor activity and regulation of RNA polymerase. KEGG pathways database differences in gene enrichment of target genes in the Wnt signaling pathway, Phospholipase D signaling pathway and mitogen-activated protein kinase signaling pathway. qRT-PCR confirmed that miRNAs and its target genes were consistent with the screening results. In vitro, our study revealed that XLHZ could increase the expression of E-cadherin, decrease the expression of transforming growth factor β1, vimentin and β-catenin, inhibite the proliferation and migration of CAG cells, cause cell cycle arrest at G0/G1 and G2/M phase, induce the apoptosis of CAG cells, and prevent the progression of CAG to GC. This study provided a new idea for the mechanism of blocking the progression of CAG to GC by XLHZ, which may be related to the expression of miR-20a-3p, miR-320-3p, miR-34b-5p, miR-483-3p and miR-883-3p and their target genes transferrin receptor, nuclear receptor subfamily 4 member 2, delta like canonical Notch ligand 1 and a kinase anchor protein 12 in CAG. In the future, we will continue to investigate the linkage between the active ingredients of XLHZ and the relevant miRNAs and their target genes, so as to provide more sufficient experimental basis for clinically effective prevention of CAG to GC.

Micromanaging the neuroendocrine system - A review on miR-7 and the other physiologically relevant miRNAs in the hypothalamic-pituitary axis.

The hypothalamic-pituitary axis is central to the functioning of the neuroendocrine system and essential for regulating physiological and behavioral homeostasis and coordinating fundamental body functions. The expanding line of evidence shows the indispensable role of the microRNA pathway in regulating the gene expression profile in the developing and adult hypothalamus and pituitary gland. Experiments provoking a depletion of miRNA maturation in the context of the hypothalamic-pituitary axis brought into focus a prominent involvement of miRNAs in neuroendocrine functions. There are also a few individual miRNAs and miRNA families that have been studied in depth revealing their crucial role in mediating the regulation of fundamental processes such as temporal precision of puberty timing, hormone production, fertility and reproduction capacity, and energy balance. Among these miRNAs, miR-7 was shown to be hypothalamus-enriched and the top one highly expressed in the pituitary gland, where it has a profound impact on gene expression regulation. Here, we review miRNA profiles, knockout phenotypes, and miRNA interaction (targets) in the hypothalamic-pituitary axis that advance our understanding of the roles of miRNAs in mammalian neurosecretion and related physiology.

#1831 Circulating MiRNA 195-5p may be associated with early renal impairment in patients with prediabetes

Abstract Background and Aims Type 2 diabetes mellitus (DM) is one of the leading causes of chronic kidney disease worldwide. However, there are few data concerning early kidney impairment in prediabetes patients. The aim of the study was to demonstrate early kidney damage in patients with prediabetes by assessing proximal tubule (PT) dysfunction, podocytes injury, and miRNA expression. Method A cohort of 192 individuals were analysed and divided such as follows: 52-normoalbuminuria-, 48-microalbuminuria-, and 50-macroalbuminuria type 2 DM patients, respectively; 12 patients-prediabetes and 30-healthy controls. The miRNA profile was assessed by real-time PCR, while PT dysfunction biomarker, N-acetyl-β-D-glucosaminidase (NAG), and podocyte injury biomarker, podocalyxin, were assessed by ELISA technique. The study was conducted in two distinct stages. In the first part of the study was detected a particular miRNAs profile in serum in patients with prediabetes; subsequently, the expression of the most relevant miRNA in patients with prediabetes was identified. Results i) in prediabetes patients, serum miRNA195-5p was 2.69 fold change as compared to the control group and correlated with NAG (p&amp;lt;0.05) and podocalyxin (p&amp;lt;0.03); ii) in type 2 DM patients, the expression of serum miRNA195-5p was higher and correlated with NAG (p&amp;lt;0.05), podocalyxin (p&amp;lt;0.04), urinary albumin: creatinine ratio (p&amp;lt;0.001) and with eGFR (p&amp;lt;0.001); iii) urinary NAG and urinary podocalyxin were higher in prediabetes patients and type 2 DM patients, even in the normoalbuminuria stage, as compared to controls (p&amp;lt;0.04; p&amp;lt;0.001). Conclusion A panel of molecular biomarkers, such as miRNAs, remain useful tools for the early diagnosis of renal involvement in the course of type 2 DM. MiRNA 195-5p may be associated with PT dysfunction and podocyte damage, and could predict renal dysfunction in both prediabetes and early diabetic kidney disease in type 2 DM patients.

MicroRNA classification and discovery for major depressive disorder diagnosis: Towards a robust and interpretable machine learning approach

BackgroundMajor depressive disorder (MDD) is notably underdiagnosed and undertreated due to its complex nature and subjective diagnostic methods. Biomarker identification would help provide a clearer understanding of MDD aetiology. Although machine learning (ML) has been implemented in previous studies to study the alteration of microRNA (miRNA) levels in MDD cases, clinical translation has not been feasible due to the lack of interpretability (i.e. too many miRNAs for consideration) and stability. MethodsThis study applied logistic regression (LR) model to the blood miRNA expression profile to differentiate patients with MDD (n = 60) from healthy controls (HCs, n = 60). Embedded (L1-regularised logistic regression) feature selector was utilised to extract clinically relevant miRNAs, and optimized for clinical application. ResultsPatients with MDD could be differentiated from HCs with the area under the receiver operating characteristic curve (AUC) of 0.81 on testing data when all available miRNAs were considered (which served as a benchmark). Our LR model selected miRNAs up to 5 (known as LR-5 model) emerged as the best model because it achieved a moderate classification ability (AUC = 0.75), relatively high interpretability (feature number = 5) and stability (ϕ̂Z=0.55) compared to the benchmark. The top-ranking miRNAs identified by our model have demonstrated associations with MDD pathways involving cytokine signalling in the immune system, the reelin signalling pathway, programmed cell death and cellular responses to stress. ConclusionThe LR-5 model, which is optimised based on ML design factors, may lead to a robust and clinically usable MDD diagnostic tool.

Identification of Gene Expression in Different Stages of Breast Cancer with Machine Learning.

Determining the tumor origin in humans is vital in clinical applications of molecular diagnostics. Metastatic cancer is usually a very aggressive disease with limited diagnostic procedures, despite the fact that many protocols have been evaluated for their effectiveness in prognostication. Research has shown that dysregulation in miRNAs (a class of non-coding, regulatory RNAs) is remarkably involved in oncogenic conditions. This research paper aims to develop a machine learning model that processes an array of miRNAs in 1097 metastatic tissue samples from patients who suffered from various stages of breast cancer. The suggested machine learning model is fed with miRNA quantitative read count data taken from The Cancer Genome Atlas Data Repository. Two main feature-selection techniques have been used, mainly Neighborhood Component Analysis and Minimum Redundancy Maximum Relevance, to identify the most discriminant and relevant miRNAs for their up-regulated and down-regulated states. These miRNAs are then validated as biological identifiers for each of the four cancer stages in breast tumors. Both machine learning algorithms yield performance scores that are significantly higher than the traditional fold-change approach, particularly in earlier stages of cancer, with Neighborhood Component Analysis and Minimum Redundancy Maximum Relevance achieving accuracy scores of up to 0.983 and 0.931, respectively, compared to 0.920 for the FC method. This study underscores the potential of advanced feature-selection methods in enhancing the accuracy of cancer stage identification, paving the way for improved diagnostic and therapeutic strategies in oncology.

Diabetic Macrophage Exosomal miR-381-3p Inhibits Epithelial Cell Autophagy Via NR5A2

PurposeTo explore the mechanism underlying autophagy disruption in gingival epithelial cells (GECs) in diabetic individuals. Methods and materialsBone marrow-derived macrophages (BMDMs) and GECs were extracted from C57/bl and db/db mice, the exosomes (Exo) were isolated from BMDMs. qRT‒PCR and Western blotting were performed to analyse gene expression. The AnimalTFDB database was used to identify relevant transcription factors, and miRNA sequencing was utilised to identify relevant miRNAs with the aid of the TargetScan/miRDB/miRWalk databases. A dual-luciferase assay was conducted to verify intermolecular targeting relationships. ResultsSimilar to BMDMs, BMDM-derived Exos disrupted autophagy and exerted proinflammatory effects in GEC cocultures, and ATG7 may play a vital role. AnimalTFDB database analysis and dual-luciferase assays indicated that NR5A2 is the most relevant transcription factor that regulates Atg7 expression. SiRNA-NR5A2 transfection blocked autophagy in GECs and exacerbated inflammation, whereas NR5A2 upregulation restored ATG7 expression and ameliorated ExoDM-mediated inflammation. MiRNA sequencing, with TargetScan/miRDB/miRWalk analyses and dual-luciferase assays, confirmed that miR-381-3p is the most relevant miRNA that targets NR5A2. MiR-381-3p mimic transfection blocked autophagy in GECs and exacerbated inflammation, while miR-381-3p inhibitor transfection restored ATG7 expression and attenuated ExoDM-mediated inflammation. ConclusionBMDM-derived Exos, which carry miR-381-3p, inhibit NR5A2 and disrupt autophagy in GECs, increasing periodontal inflammation in diabetes.

MiRNA research-The potential for understanding the multiple facets of anorexia nervosa.

Anorexia nervosa (AN) has a multifaceted and complex pathology, yet major gaps remain in our understanding of factors involved in AN pathology. MicroRNAs (miRNAs) play a regulatory role in translating genes into proteins and help understand and treat diseases. An extensive literature review on miRNAs with AN and comorbidities has uncovered a significant lack in miRNA research. To demonstrate the importance of understanding miRNA deregulation, we surveyed the literature on depression and obesity providing examples of relevant miRNAs. For AN, no miRNA sequencing or array studies have been found, unlike other psychiatric disorders. For depression and obesity, screenings and mechanistic studies were conducted, leading to clinical studies to improve understanding of their regulatory influences. MiRNAs are promising targets for studying AN due to their role as signaling molecules, involvement in psychiatric-metabolic axes, and potential as biomarkers. These characteristics offer valuable insights into the disease's etiology and potential new treatment options. The first miRNA-based treatment for rare metabolic disorders has been approved by the FDA and it is expected that these advancements will increase in the next decade. MiRNA research in AN is essential to examine its role in the development, manifestation, and progression of the disease. PUBLIC SIGNIFICANCE: The current understanding of the development and treatment of AN is insufficient. miRNAs are short regulatory sequences that influence the translation of genes into proteins. They are the subject of research in various diseases, including both metabolic and psychiatric disorders. Studying miRNAs in AN may elucidate their causal and regulatory role, uncover potential biomarkers, and allow for future targeted treatments.

Cancer Detection Using a New Hybrid Method Based on Pattern Recognition in MicroRNAs Combining Particle Swarm Optimization Algorithm and Artificial Neural Network

MicroRNAs (miRNAs) play a crucial role in cancer development, but not all miRNAs are equally significant in cancer detection. Traditional methods face challenges in effectively identifying cancer-associated miRNAs due to data complexity and volume. This study introduces a novel, feature-based technique for detecting attributes related to cancer-affecting microRNAs. It aims to enhance cancer diagnosis accuracy by identifying the most relevant miRNAs for various cancer types using a hybrid approach. In particular, we used a combination of particle swarm optimization (PSO) and artificial neural networks (ANNs) for this purpose. PSO was employed for feature selection, focusing on identifying the most informative miRNAs, while ANNs were used for recognizing patterns within the miRNA data. This hybrid method aims to overcome limitations in traditional miRNA analysis by reducing data redundancy and focusing on key genetic markers. The application of this method showed a significant improvement in the detection accuracy for various cancers, including breast and lung cancer and melanoma. Our approach demonstrated a higher precision in identifying relevant miRNAs compared to existing methods, as evidenced by the analysis of different datasets. The study concludes that the integration of PSO and ANNs provides a more efficient, cost-effective, and accurate method for cancer detection via miRNA analysis. This method can serve as a supplementary tool for cancer diagnosis and potentially aid in developing personalized cancer treatments.

Pinpointing Functionally Relevant miRNAs in Classical Hodgkin Lymphoma Pathogenesis.

Classical Hodgkin lymphoma (cHL) is a hematological malignancy of B-cell origin. The tumor cells in cHL are referred to as Hodgkin and Reed-Sternberg (HRS) cells. This review provides an overview of the currently known miRNA-target gene interactions. In addition, we pinpointed other potential regulatory roles of microRNAs (miRNAs) by focusing on genes related to processes relevant for cHL pathogenesis, i.e., loss of B-cell phenotypes, immune evasion, and growth support. A cHL-specific miRNA signature was generated based on the available profiling studies. The interactions relevant for cHL were extracted by comprehensively reviewing the existing studies on validated miRNA-target gene interactions. The miRNAs with potential critical roles included miR-155-5p, miR-148a-3p, miR-181a-5p, miR-200, miR-23a-3p, miR-125a/b, miR-130a-3p, miR-138, and miR-143-3p, which target, amongst others, PU.1, ETS1, HLA-I, PD-L1, and NF-κB component genes. Overall, we provide a comprehensive perspective on the relevant miRNA-target gene interactions which can also serve as a foundation for future functional studies into the specific roles of the selected miRNAs in cHL pathogenesis.

The Diagnostic Value of microRNA Expression Analysis in Detecting Intraductal Papillomas in Patients with Pathological Nipple Discharge.

Patients with pathological nipple discharge (PND) often undergo local surgical procedures because standard radiologic imaging fails to identify the underlying cause. MicroRNA (MiRNA) expression analysis of nipple fluid holds potential for distinguishing between breast diseases. This study aimed to compare miRNA expression levels between nipple fluids from patients with PND to identify possible relevant miRNAs that could differentiate between intraductal papillomas and no abnormalities in the breast tissue. Nipple fluid samples from patients with PND without radiological and pathological suspicion for malignancy who underwent a ductoscopy procedure were analyzed. We used univariate and multivariate regression analyses to identify nipple fluid miRNAs differing between pathologically confirmed papillomas and breast tissue without abnormalities. A total of 27 nipple fluid samples from patients with PND were included for miRNA expression analysis. Out of the 22 miRNAs examined, only miR-145-5p was significantly differentially expressed (upregulated) in nipple fluid from patients with an intraductal papilloma compared to patients showing no breast abnormalities (OR 4.76, p = 0.046), with a diagnostic accuracy of 92%. miR-145-5p expression in nipple fluid differs for intraductal papillomas and breast tissue without abnormalities and, therefore, has potential as a diagnostic marker to signal presence of papillomas in PND patients. However, further refinement and validation in clinical trials are necessary to establish its clinical applicability.

Screening and validation of optimal miRNA reference genes in different developing stages and tissues of Lilium henryi Baker

Dynamic miRNA detection using the qRT-PCR technique requires appropriate reference genes to ensure data reliability. Previous studies have screened internal reference genes in plants during embryonic development and various stress treatment, involving relatively few tissues and organs. There is no relevant miRNA study in Lilium henryi Baker and limited research on the optimal miRNA reference genes in lilies, such as 5S, 18S, U6 and Actin. Twelve genes were selected as candidate reference genes whose expression stability was analyzed in petals at different developmental stages and other tissues using various algorithms, such as geNorm, NormFinder, BestKeeper, and Delta CT. The results revealed that the optimal combination of reference genes for Lilium henryi Baker petals at different developmental stages was osa-miR166m and osa-miR166a-3p, while that for different tissues of Lilium henryi Baker was osa-miR166g-3p and osa-miR166a-3p.Four important genes related to growth and development regulation, namely, osa-miR156a, osa-miR395b, osa-miR396a-3p, and osa-miR396a-5p, were selected for validation. The findings of the present study could contribute to future investigations onmiRNA expression and the related functions in Lilium henryi Baker while providing important references for the normalization of the miRNA expression in other varieties of lily.

Demethylase FTO inhibits the occurrence and development of triple-negative breast cancer by blocking m 6A-dependent miR-17-5p maturation-induced ZBTB4 depletion.

Triple-negative breast cancer (TNBC) is a subtype of breast cancer, and its mechanisms of occurrence and development remain unclear. In this study, we aim to investigate the role and molecular mechanisms of the demethylase FTO (fat mass and obesity-associated protein) in TNBC. Through analysis of public databases, we identify that FTO may regulate the maturation of miR-17-5p and subsequently influence the expression of zinc finger and BTB domain-containing protein 4 (ZBTB4), thereby affecting the occurrence and progression of TNBC. We screen for relevant miRNAs and mRNAs from the GEO and TCGA databases and find that the FTO gene may play a crucial role in TNBC. In vitro cell experiments demonstrate that overexpression of FTO can suppress the proliferation, migration, and invasion ability of TNBC cells and can regulate the maturation of miR-17-5p through an m 6A-dependent mechanism. Furthermore, we establish a xenograft nude mouse model and collect clinical samples to further confirm the role and impact of the FTO/miR-17-5p/ZBTB4 regulatory axis in TNBC. Our findings unveil the potential role of FTO and its underlying molecular mechanisms in TNBC, providing new perspectives and strategies for the research and treatment of TNBC.

The Construction and Validation of a Novel Ferroptosis-Related Gene Signature in Parkinson's Disease.

As a newly discovered regulated cell death mode, ferroptosis is associated with the development of Parkinson's disease (PD) and has attracted much attention. Nonetheless, the relationship between ferroptosis and PD pathogenesis remains unclear. The GSE8397 dataset includes GPL96 and GPL97 platforms. The differential genes were analyzed by immune infiltration and Gene Set Enrichment Analysis (GSEA) (p < 0.05), and differential multiple |logFC| > 1 and weighted gene coexpression network analysis (WGCNA) were used to screen differential expression genes (DEGs). The intersection with 368 ferroptosis-related genes (FRGs) was conducted for gene ontology/Kyoto encyclopedia of gene and genome (GO/KEGG) enrichment analysis, gene expression analysis, correlation analysis, single-cell sequencing analysis, and prognosis analysis (area under the curve, AUC) and to predict relevant miRNAs and construct network diagrams using Cytoscape. The intersection genes of differentially expressed ferroptosis-related genes (DEFRGs) and mitochondrial dysfunction genes were validated in the substantia nigra of MPTP-induced PD mice models by Western blotting and immunohistochemistry, and the protein-binding pocket was predicted using the DoGSiteScorer database. According to the results, the estimated scores were positively correlated with the stromal scores or immune scores in the GPL96 and GPL97 platforms. In the GPL96 platform, the GSEA showed that differential genes were mainly involved in the GnRH signaling pathway, B cell receptor signaling pathway, inositol phosphate metabolism, etc. In the GPL97 platform, the GSEA showed that differential genes were mainly involved in the ubiquitin-mediated proteolysis, axon guidance, Wnt signaling pathway, MAPK signaling pathway, etc. We obtained 26 DEFRGs, including 12 up-regulated genes and 14 down-regulated genes, with good correlation. The area under the prognostic analysis curve (AUC > 0.700) showed a good prognostic ability. We found that they were enriched in different neuronal cells, oligodendrocytes, astrocytes, oligodendrocyte precursor cells, and microglial cells, and their expression scores were positively correlated, and selected genes with an AUC curve ≥0.9 were used to predict miRNA, including miR-214/761/3619-5p, miR-203, miR-204/204b/211, miR-128/128ab, miR-199ab-5p, etc. For the differentially expressed ferroptosis-mitochondrial dysfunction-related genes (DEF-MDRGs) (AR, ISCU, SNCA, and PDK4), in the substantia nigra of mice, compared with the Saline group, the expression of AR and ISCU was decreased (p < 0.05), and the expression of α-Syn and PDK4 was increased (p < 0.05) in the MPTP group. Therapeutic drugs that target SNCA include ABBV-0805, Prasinezumab, Cinpanemab, and Gardenin A. The results of this study suggest that cellular DEF-MDRGs might play an important role in PD. AR, ISCU, SNCA, and PDK4 have the potential to be specific biomarkers for the early diagnosis of PD.

Screening Targets for Diagnosis and Treatment of Cognitive Dysfunction in Stroke through Transcriptome Combined with Machine Learning

Post-Stroke Cognitive Impairment (PSCI) is one of the major complications after stroke. The evaluation of PSCI usually depends on neuropsychology tests, but the results of these tests are subjective and inaccurate. Need to find more objective indicators as identification markers of PSCI. In this study, we use machine learning to find biomakers of PSCI, and established regulatory networks at transcriptional level. Several gene such as ORC1, TOMM40L and SHISAL2A are identified biomakers, and several miRNA such as hsa-mir-130b-3p and hsa-mir-484 are interacted most tight with this biomakers genes. The results of this study help to better distinguish patients with PS and PSCI in clinical practice, and identifying relevant biomarker genes and miRNAs that can serve as potential therapeutic sites.

Physical and physiological characteristics, as well as miRNA concentrations, are affected by the storage time of tomatoes.

This study aims to investigate the potential of miRNA measurements in indicating tomato quality during transportation and storage. The impact of storage temperature, duration, and mechanical loading on tomato senescence, carotenoid content, total soluble solids, fruit firmness, and relevant miRNA concentrations were examined. Significant two-way or three-way interactions were observed between storage conditions and physical/physiological characteristics (excluding carotenoids). Remarkably, significant three-way interactions were found between storage conditions and miRNA concentrations. Strong correlations were observed between the physiological characteristics of the tomatoes and their miRNA concentrations. These findings suggest that measuring miRNAs could serve as a convenient and portable method for evaluating postharvest fruit quality, reducing reliance on labor-intensive laboratory techniques.

Circulating extracellular vesicles in human cardiorenal syndrome promote renal injury in a kidney-on-chip system.

BACKGROUNDCardiorenal syndrome (CRS) - renal injury during heart failure (HF) - is linked to high morbidity. Whether circulating extracellular vesicles (EVs) and their RNA cargo directly impact its pathogenesis remains unclear.METHODSWe investigated the role of circulating EVs from patients with CRS on renal epithelial/endothelial cells using a microfluidic kidney-on-chip (KOC) model. The small RNA cargo of circulating EVs was regressed against serum creatinine to prioritize subsets of functionally relevant EV-miRNAs and their mRNA targets investigated using in silico pathway analysis, human genetics, and interrogation of expression in the KOC model and in renal tissue. The functional effects of EV-RNAs on kidney epithelial cells were experimentally validated.RESULTSRenal epithelial and endothelial cells in the KOC model exhibited uptake of EVs from patients with HF. HF-CRS EVs led to higher expression of renal injury markers (IL18, LCN2, HAVCR1) relative to non-CRS EVs. A total of 15 EV-miRNAs were associated with creatinine, targeting 1,143 gene targets specifying pathways relevant to renal injury, including TGF-β and AMPK signaling. We observed directionally consistent changes in the expression of TGF-β pathway members (BMP6, FST, TIMP3) in the KOC model exposed to CRS EVs, which were validated in epithelial cells treated with corresponding inhibitors and mimics of miRNAs. A similar trend was observed in renal tissue with kidney injury. Mendelian randomization suggested a role for FST in renal function.CONCLUSIONPlasma EVs in patients with CRS elicit adverse transcriptional and phenotypic responses in a KOC model by regulating biologically relevant pathways, suggesting a role for EVs in CRS.TRIAL REGISTRATIONClinicalTrials.gov NCT03345446.FUNDINGAmerican Heart Association (AHA) (SFRN16SFRN31280008); National Heart, Lung, and Blood Institute (1R35HL150807-01); National Center for Advancing Translational Sciences (UH3 TR002878); and AHA (23CDA1045944).