Complex Disease Research Articles

Predicting gene disease associations with knowledge graph embeddings for diseases with curtailed information.

Knowledge graph embeddings (KGE) are a powerful technique used in the biomedical domain to represent biological knowledge in a low dimensional space. However, a deep understanding of these methods is still missing, and, in particular, regarding their applications to prioritize genes associated with complex diseases with reduced genetic information. In this contribution, we built a knowledge graph (KG) by integrating heterogeneous biomedical data and generated KGE by implementing state-of-the-art methods, and two novel algorithms: Dlemb and BioKG2vec. Extensive testing of the embeddings with unsupervised clustering and supervised methods showed that KGE can be successfully implemented to predict genes associated with diseases and that our novel approaches outperform most existing algorithms in both scenarios. Our findings underscore the significance of data quality, preprocessing, and integration in achieving accurate predictions. Additionally, we applied KGE to predict genes linked to Intervertebral Disc Degeneration (IDD) and illustrated that functions pertinent to the disease are enriched within the prioritized gene set.

A polygenic risk score for alcohol-associated cirrhosis among heavy drinkers with European ancestry.

Polygenic Risk Scores (PRS) based on results from genome-wide association studies offer the prospect of risk stratification for many common and complex diseases. We developed a PRS for alcohol-associated cirrhosis by comparing single-nucleotide polymorphisms among patients with alcohol-associated cirrhosis (ALC) versus drinkers who did not have evidence of liver fibrosis/cirrhosis. Using a data-driven approach, a PRS for ALC was generated using a meta-genome-wide association study of ALC (N=4305) and an independent cohort of heavy drinkers with ALC and without significant liver disease (N=3037). It was validated in 2 additional independent cohorts from the UK Biobank with diagnosed ALC (N=467) and high-risk drinking controls (N=8981) and participants in the Indiana Biobank Liver cohort with alcohol-associated liver disease (N=121) and controls without liver disease (N=3239). A 20-single-nucleotide polymorphisms PRS for ALC (PRSALC) was generated that stratified risk for ALC comparing the top and bottom deciles of PRS in the 2 validation cohorts (ORs: 2.83 [95% CI: 1.82 -4.39] in UK Biobank; 4.40 [1.56 -12.44] in Indiana Biobank Liver cohort). Furthermore, PRSALC improved the prediction of ALC risk when added to the models of clinically known predictors of ALC risk. It also stratified the risk for metabolic dysfunction -associated steatotic liver disease -cirrhosis (3.94 [2.23 -6.95]) in the Indiana Biobank Liver cohort -based exploratory analysis. PRSALC incorporates 20 single-nucleotide polymorphisms, predicts increased risk for ALC, and improves risk stratification for ALC compared with the models that only include clinical risk factors. This new score has the potential for early detection of heavy drinking patients who are at high risk for ALC.

Deep Learning Algorithms for Skin Disease Classification

Skin diseases are a serious concern of public health worldwide, and successful treatment needs a correct and timely diagnosis. Traditional diagnostic methods mostly depend on dermatologist’s visual observation and this leads to subjective interpretations coupled with time-consuming processes. Deep learning algorithms have lately been known as powerful means for automated medical image analysis that present more accurate and quicker results at the same time. This study analyses the usage of state-of-the-art deep learning algorithms like YOLOv8, Deep CNN, and ResNet50 used for classification of skin diseases using dermatological images. Classifying the skin conditions relies heavily on the ability to identify and extract essential features. Different skin conditions were covered under large dataset thus providing a comprehensive foundation for training and validation aimed at ensuring that the models could generalize well across different diseases. Each algorithm also employs transfer learning techniques by utilizing pre-trained models based on large image datasets in order to improve adaptability and generalization over new data types. The use of deep learning algorithms in classifying skin diseases represents a significant method to achieve efficient and accurate diagnosis with benefits to both patients and healthcare professionals as is the trend in medical image analysis. The advanced deep learning models introduced in this paper excel at classifying complex skin diseases, outperforming the machine learning approaches in performance.

Sepsis best practices: Definitions, guidelines, and updates.

Sepsis remains a complex and costly disease with high morbidity and mortality. This article discusses Sepsis-2 and Sepsis-3 definitions, highlighting the 2021 Surviving Sepsis International guidelines as well as the regulatory requirements and reimbursement for the Severe Sepsis and Septic Shock Management Bundle (SEP-1) measure.

A method to comprehensively identify germline SNVs, INDELs and CNVs from whole exome sequencing data of BRCA1/2 negative breast cancer patients.

In the rapidly evolving field of genomics, understanding the genetic basis of complex diseases like breast cancer, particularly its familial/hereditary forms, is crucial. Current methods often examine genomic variants-such as Single Nucleotide Variants (SNVs), insertions/deletions (Indels), and Copy Number Variations (CNVs)-separately, lacking an integrated approach. Here, we introduced a robust, flexible methodology for a comprehensive variants' analysis using Whole Exome Sequencing (WES) data. Our approach uniquely combines meticulous validation with an effective variant filtering strategy. By reanalyzing two germline WES datasets from BRCA1/2 negative breast cancer patients, we demonstrated our tool's efficiency and adaptability, uncovering both known and novel variants. This contributed new insights for potential diagnostic, preventive, and therapeutic strategies. Our method stands out for its comprehensive inclusion of key genomic variants in a unified analysis, and its practical resolution of technical challenges, offering a pioneering solution in genomic research. This tool presents a breakthrough in providing detailed insights into the genetic alterations in genomes, with significant implications for understanding and managing hereditary breast cancer.

MiR-26a is a Key Therapeutic Target with Enormous Potential in the Diagnosis and Prognosis of Human Disease.

MicroRNA-26a (miR-26a) belongs to small non-coding regulatory RNA molecules emerging as fundamental post-transcriptional regulators inhibiting gene expression that plays vital roles in various processes of human diseases such as depression, renal ischemia and reperfusion injury, liver injury and some refractory cancer. In this review, we expound on the results of studies about miR-26a with emphasis on its function in animal models or in vitro cell culture to simulate the most common human disease in the clinic. Furthermore, we also illustrate the underlying mechanisms of miR-26a in strengthening the antitumor activity of antineoplastic drugs. Importantly, dysregulation of miR-26a has been related to many chronic and malignant diseases, especially in neurological disorders in the brain such as depression and neurodegenerative diseases as well as cancers such as papillary thyroid carcinoma, hepatocellular carcinoma and so on. It follows that miR-26a has a strong possibility to be a potential therapeutic target for the treatment of neurological disorders and cancers. Although the research of miRNAs has made great progress in the last few decades, much is yet to be discovered, especially regarding their underlying mechanisms and roles in the complex diseases of humans. Consequently, miR-26a has been analyzed in chronic and malignant diseases, and we discuss the dysregulation of miR-26a and functional roles in the development and pathogenesis of these diseases, which is very helpful for understanding their mechanisms as new biomarkers for diagnosing and curing diseases in the near future.

Neuroinflammation in Glioblastoma: The Role of the Microenvironment in Tumour Progression.

Glioblastoma (GBM) stands as the most aggressive and lethal among the main types of primary brain tumors. It exhibits malignant growth, infiltrating the brain tissue, and displaying resistance toward treatment. GBM is a complex disease characterized by high degrees of heterogeneity. During tumour growth, microglia and astrocytes, among other cells, infiltrate the tumour microenvironment and contribute extensively to gliomagenesis. Tumour-associated macrophages (TAMs), either of peripheral origin or representing brain-intrinsic microglia, are the most numerous nonneoplastic populations in the tumour microenvironment in GBM. The complex heterogeneous nature of GBM cells is facilitated by the local inflammatory tumour microenvironment, which mostly induces tumour aggressiveness and drug resistance. The immunosuppressive tumour microenvironment of GBM provides multiple pathways for tumour immune evasion, contributing to tumour progression. Additionally, TAMs and astrocytes can contribute to tumour progression through the release of cytokines and activation of signalling pathways. In this review, we summarize the role of the microenvironment in GBM progression, focusing on neuroinflammation. These recent advancements in research of the microenvironment hold the potential to offer a promising approach to the treatment of GBM in the coming times.

MASH: Mediation analysis of survival outcome and high-dimensional omics mediators with application to complex diseases

MASH: Mediation analysis of survival outcome and high-dimensional omics mediators with application to complex diseases

New clinical treatment plan for acute lymphoblastic leukemia after whole genome sequencing: An update of the development of new technologies for genome editing

Acute lymphoblastic leukemia (ALL) is now being reclassified into newly identified subtypes due to genetic abnormalities, Philadelphia chromosome‐like B‐lineage ALL is one of the new high‐risk subtypes characterized by genetic alterations that activate various signaling pathways, including those involving cytokine receptors, tyrosine kinases, and epigenetic modifiers. Philadelphia chromosome‐like ALL is essentially heterogeneous; however, deletion mutations in the IKZF1 gene encoding the transcription factor IKAROS underlie many cases as a key factor inducing aggressive phenotypes and poor treatment responses. WGS (whole genome sequencing) studies of ALL patients and ethnically matched controls also identified inherited genetic variations in lymphoid neoplasm‐related genes, which are likely to increase ALL susceptibility. On the contrary, Genome editing technologies offers new opportunities for tackling diseases, and genome-editing tools such as CRISPR-Cas9 are an important means of advancing functional studies of ALL through the incorporation, elimination, and modification of somatic mutations. These findings are directly relevant to clinical hematology, and further studies on this aspect could contribute to accurate diagnosis, effective monitoring of residual disease, and patient‐oriented therapies.

Molecular basis of hereditary cardiomyopathy: A systematic review

Hereditary cardiomyopathies include a diverse spectrum of myocardial disorders characterized by mechanical and electrical abnormalities, among which hypertrophic cardiomyopathy (HCM) and dilated cardiomyopathy (DCM) are distinguished. This paper dives into the genetic foundations of these conditions, with a focus on mutations in genes encoding sarcomere proteins, thin filament proteins, and calcium homeostasis regulators. The familial aggregation of cardiomyopathies underscores the substantial genetic component, with autosomal dominant inheritance patterns predominant in some cases. Genetic testing and counseling emerge as pivotal tools for early diagnosis, risk assessment, and the formulation of personalized treatment strategies. The integration of genetic insights into clinical management holds promise for improving patient outcomes and reducing disease burden. Further analysis of the molecular mechanisms underlying hereditary cardiomyopathies is critical for identifying novel therapeutic targets and advancing precision medicine approaches. By comprehensively exploring the genetic underpinnings of cardiomyopathies, this paper contributes to our understanding of these complex diseases and highlights the potential for innovative interventions to enhance patient care in the field of cardiovascular medicine.

Dissecting thrombus-directed chemotaxis and random movement in neutrophil near-thrombus motion in flow chambers.

Thromboinflammation is caused by mutual activation of platelets and neutrophils. The site of thromboinflammation is determined by chemoattracting agents release by endothelium, immune cells, and platelets. Impaired neutrophil chemotaxis contributes to the pathogenesis of Shwachman-Diamond syndrome (SDS). In this hereditary disorder, neutrophils are known to have aberrant chemoattractant-induced F-actin properties. Here, we aim to determine whether neutrophil chemotaxis could be analyzed using our previously developed ex vivo assay of the neutrophils crawling among the growing thrombi. Adult and pediatric healthy donors, alongside with pediatric patients with SDS, were recruited for the study. Thrombus formation and granulocyte movement in hirudinated whole blood were visualized by fluorescent microscopy in fibrillar collagen-coated parallel-plate flow chambers. Alternatively, fibrinogen, fibronectin, vWF, or single tumor cells immobilized on coverslips were used. A computational model of chemokine distribution in flow chamber with a virtual neutrophil moving in it was used to analyze the observed data. The movement of healthy donor neutrophils predominantly occurred in the direction and vicinity of thrombi grown on collagen or around tumor cells. For SDS patients or on coatings other than collagen, the movement was characterized by randomness and significantly reduced velocities. Increase in wall shear rates to 300-500 1/s led to an increase in the proportion of rolling neutrophils. A stochastic algorithm simulating leucocyte chemotaxis movement in the calculated chemoattractant field could reproduce the experimental trajectories of moving neutrophils for 72% of cells. In samples from healthy donors, but not SDS patients, neutrophils move in the direction of large, chemoattractant-releasing platelet thrombi growing on collagen.

Agenesis of the ductus venosus and fetal growth restriction: Is there a relation? A tertiary care center experience and systematic review of the literature.

An update on the antenatal diagnosis of agenesis of ductus venosus (ADV) by differentiating the various possible types of shunts, focusing on the associated fetal anomalies, and predicting neonatal outcomes. This study reviewed the experience of two tertiary referral centers and literature. An unfavorable outcome was detected in preterm fetuses (p = 0.017), fetuses with a genetic anomaly (p = 0.046) or other associated malformations (p < 0.001). 71% of ADVs with other anomalies had an extrahepatic ADV (p = 0.002). 76% of fetuses with Fetal Growth Restriction (FGR) had an extrahepatic ADV (p = 0.025). ADV may negatively influence fetal growth in cases with extrahepatic vein drainage.

Creatine Kinase-MM/Proto-oncogene Tyrosine-Protein Kinase Receptor as a Sensitive Indicator for Duchenne Muscular Dystrophy Carriers.

Duchenne muscular dystrophy (DMD), a lethal X-linked recessive genetic disease, is characterized by progressive muscle wasting which will lead to premature death by cardiorespiratory complications in their late twenties. And 2.5-19% DMD carriers that also suffer from skeletal muscle damage or dilated cardiomyopathy when diagnosed as soon as possible is meaningful for prenatal diagnosis and advance warning for self-health. The current DMD carrier screening mainly relies on detecting serum creatine kinase activity, covering only 50-70% DMD carriers which will cause many false negatives and require the discovery of highly effective biomarker and simple detection procedure for DMD carriers. In this article, we have compiled a comprehensive summary of all documented biomarkers associated with DMD and categorized them based on their expression patterns. We specifically pinpointed novel DMD biomarkers, previously unreported in DMD carriers, and conducted further investigations to explore their potential. Compared to creatine kinase activity alone in DMD carriers, creatine kinase-MM can improve the specificity from 73 to 81%. And our investigation revealed another promising protein: proto-oncogene tyrosine-protein kinase receptor (RET). When combined with creatine kinase-MM (creatine kinase-MM/RET ratio), it significantly enhances the specificity (from 81 to 83%) and sensitivity (from71.4 to 93%) of detecting DMD carriers in serum. Moreover, we successfully devised an efficient method for extracting RET from dried blood spots. This breakthrough allowed us to detect both creatine kinase-MM and RET using dried blood spots without compromising the detection rate.

Relationship between diagnosis of conus arteriosus malformation and genetic diagnosis results in fetal cardiac axis abnormalities by echocardiography during middle pregnancy

ObjectiveTo explore the clinical value of echocardiography in detecting fetal cardiac axis abnormalities during middle pregnancy for diagnosing conus arteriosus malformation, and to compare and analyze the genetic diagnosis results, in order to provide evidence for clinical diagnosis and intervention.MethodsFour hundred twenty-one fetuses with conus arteriosus malformation from January 2020 to October 2023 were included as the conus arteriosus malformation group, and 917 healthy fetuses (all single fetuses) matched at the same gestational age were selected as the healthy group.ResultsThere was no significant difference in gestational weeks between two groups (P &amp;gt; 0.05). The age of pregnant women in conus arteriosus malformation group was lower compared to healthy group (P &amp;lt; 0.05), and the fetal cardiac axis in conus arteriosus malformation group was significantly higher compared to healthy group (P &amp;lt; 0.05). Among the fetuses with conus arteriosus malformation, tetralogy of Fallot (TOF), transposition of the great arteries (TGA) and double outlet right ventricle (DORV) had the highest proportions, accounting for 38.00%, 18.29% and 17.58%, respectively. Among all types of conus arteriosus malformations, atresia pulmonary valve syndrome associated with TOF, persistent truncus arteriosus and DORV exhibited higher proportions of fetal cardiac axis abnormalities, at 75.00%, 36.84% and 27.03%, respectively, while TGA and interrupted aortic arch associated with B-type interruption had lower proportions of fetal cardiac axis abnormalities, at 2.60% and 4.55%, respectively. Genetic testing was conducted on 73 cases (17.34%) of fetuses with conus arteriosus malformation in this study. Among them, fetal cardiac axis abnormalities were considered positive for genetic results due to factors such as aneuploidy, copy number abnormalities, and single-gene pathogenicity. A total of 31 cases tested positive for genetic anomalies, with a positive rate of approximately 42.47%.ConclusionIn the middle pregnancy, the fetal cardiac axis in cases of conus arteriosus malformation was significantly higher than in normal fetuses. Moreover, there were variations in fetal cardiac axis among different types of conus arteriosus malformations, and these differences were notably associated with genetic diagnostic results.

Single-cell analysis of a progressive Rosai–Dorfman disease affecting the cerebral parenchyma: a case report

Neurologic Rosai–Dorfman disease (RDD) is a rare type of non-Langerhans cell histiocytosis that affects the central nervous system. Most neurologic RDDs grow like meningiomas, have clear boundaries, and can be completely resected. However, a few RDDs are invasive and aggressive, and no effective treatment options are available because the molecular mechanisms involved remain unknown. Here, we report a case of deadly and glucocorticoid-resistant neurologic RDD and explore its possible pathogenic mechanisms via single-cell RNA sequencing. First, we identified two distinct but evolutionarily related histiocyte subpopulations (the C1Q+ and SPP1+ histiocytes) that accumulated in the biopsy sample. The expression of genes in the KRAS signaling pathway was upregulated, indicating gain-of-function of KRAS mutations. The C1Q+ and SPP1+ histiocytes were highly differentiated and arrested in the G1 phase, excluding the idea that RDD is a lympho-histio-proliferative disorder. Second, although C1Q+ histiocytes were the primary RDD cell type, SPP1+ histiocytes highly expressed several severe inflammation-related and invasive factors, such as WNT5A, IL-6, and MMP12, suggesting that SPP1+ histiocytes plays a central role in driving the progression of this disease. Third, oligodendrocytes were found to be the prominent cell type that initiates RDD via MIF and may resist glucocorticoid treatment via the MDK and PTN signaling pathways. In summary, in this case, we report a rare presentation of neurologic RDD and provided new insight into the pathogenic mechanisms of progressive neurologic RDD. This study will also offer evidence for developing precision therapies targeting this complex disease.

THE IMPORTANCE OF ULTRASONOGRAPHY IN THE DETECTION OF CONGENITAL HEART DISEASES IN CHILDREN

Over the last few years, remarkable progress has been made in the field of congenital heart diseases. Improvements considering diagnostic modalities, especially imaging, in surgical and interventional techniques, as well as in postoperative therapy and care, have contributed to a significant reduction in mortality and morbidity. One of the most important applications of medical imaging techniques in children is the detection and treatment of congenital heart anomalies. Objective of this article is to show the importance of ultrasonography in the detection of congenital heart diseases in children. The study was conducted on children with simple and complex congenital heart diseases and was conducted on the Pediatric Clinic, UKCS. The research is descriptive on a representative sample. In our study, 166 children were observed, of which 148 children (77 boys, 71 girls) with simple congenital heart diseases, and 18 children (8 boys, 10 girls) with complex congenital heart diseases. Out of the total number of observed children, 115 had a surgical correction, 97 children with simple congenital heart diseases (45 boys, 52 girls) and 18 children with complex congenital heart diseases (8 boys, 10 girls). The number of children monitored through the Cardiac Counseling Center who didn’t undergo surgical correction was 51, all with simple congenital heart diseases. Out of the total number of observed children who were frequently coming for follow-ups, 28 children had changes on the ECG, and 138 of them had no changes on the ECG, 93 were surgically treated, and 73 of them were on conservative therapy. Based on the results of the research, we conclude that ultrasonography is an important method in the detection and treatment of congenital heart diseases.

A transcriptomic based deconvolution framework for assessing differentiation stages and drug responses of AML

The diagnostic spectrum for AML patients is increasingly based on genetic abnormalities due to their prognostic and predictive value. However, information on the AML blast phenotype regarding their maturational arrest has started to regain importance due to its predictive power for drug responses. Here, we deconvolute 1350 bulk RNA-seq samples from five independent AML cohorts on a single-cell healthy BM reference and demonstrate that the morphological differentiation stages (FAB) could be faithfully reconstituted using estimated cell compositions (ECCs). Moreover, we show that the ECCs reliably predict ex-vivo drug resistances as demonstrated for Venetoclax, a BCL-2 inhibitor, resistance specifically in AML with CD14+ monocyte phenotype. We validate these predictions using LUMC proteomics data by showing that BCL-2 protein abundance is split into two distinct clusters for NPM1-mutated AML at the extremes of CD14+ monocyte percentages, which could be crucial for the Venetoclax dosing patients. Our results suggest that Venetoclax resistance predictions can also be extended to AML without recurrent genetic abnormalities and possibly to MDS-related and secondary AML. Lastly, we show that CD14+ monocytic dominated Ven/Aza treated patients have significantly lower overall survival. Collectively, we propose a framework for allowing a joint mutation and maturation stage modeling that could be used as a blueprint for testing sensitivity for new agents across the various subtypes of AML.

P16 Fibroblast signalling crosstalk drives junctional epidermolysis bullosa disease progression

Abstract Introduction and aims Junctional epidermolysis bullosa (JEB) is a devastating hereditary skin disorder characterized by severe fragility of skin and mucus membrane, emerges as blistering with little or no trauma. The major classification of JEB includes JEB intermediate and JEB severe; the latter is the most common subtype, which is the result of loss of function mutations in the skin basement membrane protein laminin-332. Lacking this protein impairs basement membrane adhesion of epidermal keratinocytes and leads to deregulated epidermal–dermal crosstalk. The skin dermis is composed of multiple fibroblast subpopulations with different functions in skin homeostasis and repair; however, their specific involvement in skin diseases is largely unknown. Here, we investigate how fibroblast subpopulations, namely papillary and reticular fibroblasts, impact JEB disease progression and skin regeneration. Methods Three-dimensional (3D) organotypic (OT) combining healthy (control) and diseased (JEB) keratinocytes cells with distinct fibroblast subpopulations from different anatomical sites were developed and analysed by immunohistochemistry and RNA-Seq. Results JEB OTs with papillary fibroblasts showed increased epidermal growth, invagination of basal layer and deregulated differentiation compared with reticular fibroblasts. RNA-Seq analysis revealed altered activity in key signalling including immune, cytokine, gap junction, mitogen-activated protein kinase and remodelling of keratinization and ECM proteins, particularly in JEB OT cultured with papillary fibroblast. JEB OTs and cells also demonstrated variation in cell proliferation and activation of transforming growth factor-β1 and immune cell signalling. Currently, we are targeting identified signalling pathways in our two-dimensional and 3D cell culture models and identifying druggable targets, before testing selected candidates in our JEB mouse disease model for further preclinical validation. Conclusions By dissecting the pathological signalling interactions between keratinocytes and distinct fibroblast subpopulations, our goal is to identify new therapeutic target to improve the skin health and regeneration in patients with JEB.

P12 Transcriptional and epigenetic changes drive increased cellular plasticity in keloid fibroblasts

Abstract Introduction and aims Keloids are fibroproliferative scars that progressively grow beyond the original wound site. They occur as a result of genetic, epigenetic and environmental abnormalities. Fibroblasts are best characterized for their role in depositing and remodelling the extracellular matrix (ECM) and are believed to have a crucial role in keloid formation. However, the detailed molecular signatures that promote this pathogenic phenotype are still unknown. Methods To investigate the epigenetic and genetic changes in keloid fibroblasts, we performed assay for transposase-accessible chromatin (ATAC)-Seq and RNA-Seq on a patient-matched set of keloid and normal fibroblasts. ATAC-Seq is a high-throughput sequencing method that defines chromatin accessible regions in which the binding of sites of transcription factors that regulate gene expression can be mapped. Identified candidates are validated in keloid fibroblasts via quantitative polymerase chain reaction and their functional role is analysed in various in vitro assays. Results ATAC-Seq analysis revealed more accessibility in coding regions of keloid fibroblasts compared with normal fibroblasts. Pathways enriched in these regions include transcriptional regulation, embryonic development, cell differentiation, calcium-binding and collagen remodelling. Intriguingly, several developmental epigenetic modulators were identified that may alter the transcription and chromatin landscape of keloid fibroblasts to a more plastic state and have the capacity to influence cell differentiation choices, potentially promoting chondrogenic and adipogenic cell features. Currently, we are investigating the ability of keloid fibroblasts to be more readily differentiated into other cell types including induced pluripotent stem cells, and the contribution of those candidates on fibrotic features to the cell are also being explored. Conclusions Our analysis reveals that the chromatin of keloid fibroblasts is more accessible, especially in genomic regions associated with embryonic development and keloid fibroblasts show an increased plasticity in vitro. These findings may support the development of fibroblast-targeted therapies for keloid scars and possibly other connective tissue disorders.

Deregulated miR-146a-3p alleviates disease progression in atherosclerosis through inactivating NF-κB: An experimental study.

Atherosclerosis (AS), as a complex chronic inflammatory disease, is 1 of the main causes of cardiovascular and cerebrovascular diseases. This study aimed to confirm the direct interaction between miR-146a-3p and NF-κB, and explore the role of miR-146a-3p/NF-κB in the regulation of inflammation in AS. Bioinformatic prediction and dual-luciferase reporter assay were used to confirm the interaction between miR-146a-3p and NF-κB. Lipopolysaccharides stimulation was performed to establish AS inflammatory cell model, and the levels of pro-inflammatory cytokines were estimated using an enzyme-linked immunosorbent assay. miR-146a-3p and NF-κB expression were evaluated using reverse transcription quantitative PCR, and their clinical value was examined using a receiver operating characteristic curve. Inflammatory cell model showed increased IL-1β, IL-6, and TNF-α. NF-κB was a target gene of miR-146a-3p, and mediated the inhibitory effects of miR-146a-3p on inflammatory responses in the cell model. In patients with AS, miR-146a-3p/NF-κB was associated with patients' clinical data and inflammatory cytokine levels, and aberrant miR-146a-3p and NF-κB showed diagnostic accuracy to distinguish AS patients from healthy populations. miR-146a-3p might inhibit inflammation by targeting NF-κB in AS progression, and miR-146a-3p/ NF-κB might provide novel biomarkers and therapeutic targets for the prevention of AS and related vascular events.