Search Results (316)

Circular RNAs (circRNAs) have emerged as crucial cardiovascular regulators through gene expression modulation, microRNA sponging, and protein interactions. Their covalently closed structure confers exceptional stability, making them detectable in blood and tissues as potential biomarkers. This review explores current research examining circRNAs across cardiovascular diseases, including atherosclerosis, myocardial infarction, and heart failure. We highlight the control that circRNA exerts over endothelial function, smooth muscle switching, inflammatory recruitment, and cardiomyocyte survival. Key findings distinguish frequently disease-promoting circRNAs (circANRIL, circHIPK3) from context-dependent regulators (circFOXO3). Compartment-specific controllers include endothelial stabilizers (circGNAQ), smooth muscle modulators (circLRP6, circROBO2), and macrophage regulators (circZNF609), functioning as tunable rheostats across vascular compartments. Overall, the literature suggests that circRNAs represent promising tools in two translational avenues: (i) blood-based multimarker panels for precision diagnosis and (ii) targeted modulation of pathogenic circuits. Clinical translation will require precise cell-type targeting, efficient delivery to cardiovascular tissues, and rigorous mitigation of off-target effects. Full article

Acute promyelocytic leukemia (APL) is a rare subtype of acute myeloid leukemia (AML) characterized by chromosomal translocation forming the fusion protein that blocks the differentiation of myeloid progenitors and increases the self-renewal of leukemia cells. The introduction of all-trans retinoic acid (ATRA) and arsenic trioxide (ATO) has dramatically improved outcomes in APL, making it a leading example of successful treatment through differentiation of cancer cells. However, life-threatening side effects and treatment resistance may develop; therefore, modulation of the safety and efficacy of these drugs may contribute to further improving treatment results. Recently, zinc, involved in the structure and function of transcription factors, has received special attention for its potential role in the development and treatment response of cancer. Zinc homeostasis is disrupted in APL, with intracellular accumulation stabilizing oncogenic proteins. Zinc depletion promotes degradation of PML–RARA and induces apoptosis, while supplementation enhances genotoxic stress in leukemic cells but protects normal hematopoiesis. Zinc also regulates key transcription factors involved in differentiation and proliferation, including RUNX2, KLF4, GFI1, and CREB. In this review, we examine how zinc may impact zinc-finger (ZnF) and non-ZnF transcription factors and differentiation therapy in APL, thereby identifying potential strategies to enhance treatment efficacy and minimize side effects. Full article

Background: Foetal structural abnormalities can be detected in approximately 3% of all pregnancies and frequently remain without a genetic diagnosis. This study aims to apply an integrated approach with the final goal of providing a molecular diagnosis in the challenging Italian setting of early termination of pregnancy. Methods: In a cohort of 86 foetuses, post-mortem dysmorphological examination, radiological assessments, and molecular autopsy through Whole-Exome Sequencing—WES—analysis were performed. Results: Forty-two foetuses were phenotypically classified as presenting a single major malformation (i.e., central nervous system, skeletal, urogenital, or cardiac anomalies, or fluid accumulation), while 44 foetuses presented multiple malformations and/or dysmorphic features. Overall, WES provided a diagnostic yield of 26.7%; additionally, seven Variants of Uncertain Significance (VUS) potentially liked to the foetal phenotype were identified. The highest detection rate was achieved for foetuses presenting a single major urogenital (50%) or skeletal (42.9%) malformation, followed by foetuses presenting multiple malformations (27.3%). Peculiar results of particular interest were (1) the identification of two splicing variants (within the INPPL1 and RHOA genes), functionally characterised through minigene assay, which contributed to evaluate their pathogenicity, and (2) the identification of a novel de novo missense ZNF292 variant (NM_015021.3:c.6325A>C p.(Ser2109Arg)) in a foetus affected by corpus callosum hypoplasia. The ZNF292 gene is associated with the Intellectual developmental disorder, autosomal dominant 64 and this finding represents the first report of prenatally detected anomalies of the central nervous system in a foetus carrying a ZNF292 variant. Conclusions: This study underlines the diagnostic utility of an integrated approach to achieve a precise genetic diagnosis for structural foetal abnormalities, thus providing families with precise recurrence risk estimations and detailed options about future pregnancies. Additionally, a systematic implementation of this strategy could be crucial to better characterise new variants and discover new genes involved in embryonic and foetal development. Full article

Phase separation is one of the mechanisms critical for protein function, and its aberrances are associated with cancer development. However, mutations that affect protein phase separation and cancer development have not been systematically identified and analyzed. In this study, we systematically identified the mutations affecting protein liquid–liquid phase separation in multiple cancers. We calculated the phase separation scores alterations for over 1,200,000 mutations across 16 cancer types using the TCGA dataset. We then performed pathway enrichment, kinase, TF enrichment, and survival analysis to identify related biological processes and clinical implications. Nearly 10% of the mutations were defined to affect phase separation in pan-cancer. These mutations occupied a consistent percentage in each cancer type. Extremely influencing mutations accumulate on stomach adenocarcinoma (STAD), uterine corpus endometrial carcinoma (UCEC), and skin cutaneous melanoma (SKCM). Moreover, proteins carrying these mutations are enriched in cancer-related pathways, including TGF-beta signaling pathways and polycomb repressive complex. Phase separation of these proteins would be regulated by kinases, including CDK1, CDK2, and EGFR, and transcription factors, including ZNF407, ZNF318, and MGA proteins, to play functions in cancer. Protein–Protein Interaction Network revealed that these phase separation proteins are highly interconnected. Finally, patients carrying mutations that positively affect the protein phase separation are associated with poor prognosis in skin cutaneous melanoma (SKCM) and lung squamous cell carcinoma (LUSC), which could be partially explained by the pathogenicity of these mutations. The study provided a pan-cancer landscape for depicting the association of phase separation and cancer mutations, which would be a rich data resource for understanding the association of cancer mutations and phase separation. Full article

Background/Objectives: Most cervical intraepithelial neoplasias (CINs) regress over time. Diagnostic screenings are limited and cannot identify the disease trend, which leads to the risk of overtreatment. Reliable methods are needed to preselect patients who will probably progress. The diagnostic GynTect^® assay offers sensitive and specific CIN identification from cervical scrapes, measuring the methylation of six marker genes. We studied the main marker (ZNF671) methylation on formalin-fixed paraffin-embedded (FFPE) material to determine if the kit provides prognostic information too. Methods: We tested 289 FFPE samples from 139 patients with varying CIN grades and disease trends, including regressive, persistent, progressive, and recurrent disease. Additionally, we correlated age and human papillomavirus (HPV) status with the results. Results: Although there are differences between FFPE material and cervical scrapes, we achieved a similar increase in ZNF671 methylation with increasing neoplasia grade (dysplasia-free: 0%, CIN 1: 8.20%, CIN 2: 26.73%, CIN 3: 32.43%, carcinoma: 100%). In addition, ZNF671 is more likely to detect recurring (27.12% of positives) and progressive (59.32% of positives) neoplasia. Patients with regressive (1.69% of positives) or persistent (11.86% of positives) trends less frequently show ZNF671 methylation. Interestingly, patients with HPV 16 infection (52.54% of positives) and >30 years (89.83% of positives) are more likely to appear ZNF671 methylation-positive. However, patients < 30 years with persistent neoplasia (42.86% of positives) also show methylation more frequently. Conclusions: The methylation of ZNF671 is measurable in cervical FFPE material and has prognostic value. Since ZNF671-methylated samples are most likely to be progressing, we recommend the closer monitoring of patients with GynTect^®-positive test results. Full article

Background: A range of cancer cells are significantly inhibited by FTY720. It is unknown, nevertheless, how FTY720 influences the onset of non-small cell lung cancer (NSCLC). Using bioinformatics techniques, we analyzed and the possible molecular mechanisms and targets of FTY720 for the treatment of NSCLC. Methods: DEGs (Differentially expressed genes) were acquired by differential analysis of the dataset GSE10072. Obtained FTY720 target genes and NSCLC disease genes from databases such as Swiss-TargetPrediction and GeneCard. Subsequently, target and disease genes, as well as DEGs, were merged for Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, gene ontology (GO), and protein interaction analysis. The overlapping genes of DEGs and target genes, and disease genes were also obtained separately and subjected to survival as well as expression analyses. We constructed the regulatory network of miRNAs and transcription factors (TFs) on hub genes. Finally, the immune cell association of hub genes was evaluated using the ssGSEA method, molecular docking of FTY720 to hub genes was carried out utilizing Autodock, and molecular dynamics simulations were conducted. Results: In this study, 444 DEGs, 232 target genes of FTY720, and 466 disease genes were obtained. Moreover, a total of 1062 genes were obtained by removing duplicate values after merging, among which PIK3R1, Akt1, and S1PR1 had the highest DEGREE values in the protein interactions network, and these genes were primarily enriched in MAPK, PI3K-Akt signaling pathways, with the PI3K-Akt signaling pathway being the most prominent. Among the overlapping genes, three potential targets of FTY720 for NSCLC treatment were found: S1PR1, ZEB2, and HBEGF. ZEB2 and S1PR1 were determined to be hub genes and to significantly affect NSCLC prognosis by survival analysis. Furthermore, hsa-miR-132-3p, hsa-miR-192-5p, and hsa-miR-6845-3p were strongly associated with FTY720 for the treatment of NSCLC; CTBP1 (carboxy-terminal binding protein 1), EZH2 (protein lysine N-methyltransferase), and ZNF610 (zinc-finger protein 610) may all influence the expression of ZEB2 and S1PR1. Hub genes had a substantial negative link with memory B cells and a significant positive correlation with memory CD8 T cells and Th17 helper T cells. The molecular docking and kinetic simulation results of FTY720 with the two hub genes indicate that the protein-ligand complex has good stability. Conclusion: Our research indicates that FTY720 may inhibit NSCLC via possible targets ZEB2 and S1PR1, further laying the theoretical foundation for the utilization of FTY720 in NSCLC treatment. Full article

The Kazakh horse is a highly valuable indigenous Chinese breed known for its use in both milk and meat production. However, the mechanisms underlying color variation in the abdominal adipose tissue of this breed remain poorly understood. In this study, the sequencing of non-coding RNAs (ncRNAs) was conducted on abdominal adipose tissue of different colors from Kazakh horses, with the aim of investigating the molecular mechanisms responsible for this variation. A total of 205 differentially expressed long non-coding RNAs (DELncRNAs) including ENSECAG00000003836, ENSECAG00000017858, and ENSECAG00000035167; 52 differentially expressed microRNAs (DEmiRNAs) including miR-200-y and eca-miR-9a; and 559 differentially expressed circular RNAs (DEcircRNAs) including ZNF226 and ITPKC, were identified between Group W and Group Y. GO annotation and KEGG enrichment analyses of the DEGs revealed that these genes were primarily involved in biological processes such as chemical homeostasis (biological process, BP), intracellular components (cellular component, CC), and iron-sulfur cluster binding (molecular function, MF) as well as in metabolic pathways related to lipid biosynthesis and metabolism including vitamin B6 metabolism, tryptophan metabolism, and glycerolipid metabolism. The sequencing accuracy was further validated using reverse transcription quantitative PCR (RT-qPCR). This study identified key DEGs and signaling pathways associated with the color variation in adipose tissue of Kazakh horses and sheds light on the regulatory genes and biological processes involved. These findings provide a theoretical basis and research foundation for future studies on color variations in the adipose tissue of equine species. Full article

Mugalzhar horses are a relatively young native breed of Kazakhstan, prized for meat and milk production and adaptation. This study was conducted to investigate genetic diversity and pinpoint genomic regions associated with selection signatures in this breed using whole-genome sequence data. Variant calling yielded a total of 21,722,393 high-quality variants, including 19,495,163 SNPs and 2,227,230 indels. Most variants were located in introns and intergenic regions, while only 1.94% were exonic. Estimates of genetic diversity were moderate, with expected and observed heterozygosity and nucleotide diversity of 0.2325, 0.2402, and 0.0021, respectively. We identified nine adaptive candidate genes (SCAPER, FHAD1, MMP15, ADGRE1, CMKLR1, MRPL15, ZNF667, CCDC66, and LOC100055310), harboring high-impact exonic variants in the homozygote state for an alternative allele. No deleterious segregating variants associated with Mendelian traits were found in this population, while seven variants linked to coat color and gaitedness were detected in a low frequency heterozygous state. Our findings suggest that there are certain genomic regions subjected to ancient selection footprints during the ancestor breed formation and adaptation. The outcome of this study serves as a foundation for future genomic-driven strategies, a broader utilization of this breed, and a reference for genomic studies on other horse breeds. Full article

Background/Objectives: The etiology of congenital diaphragmatic hernia (CDH) remains unknown in over 50% of cases, although multiple heterogeneous causative defects have been identified. Emerging evidence suggests that specific genes and molecular pathways involved in connective tissue biology may contribute to CDH development. Associations between CDH and connective tissue disorders have been reported, including cases in Marfan syndrome and a prevalence of CDH in 34% of patients with arterial tortuosity syndrome. Noticing joint laxity in several CDH patients, we aimed to investigate the presence of genetic variants linked to connective tissue disorders in this subgroup, focusing on patients enrolled in the follow-up program at Bambino Gesù Children’s Hospital. Methods: We selected patients diagnosed with CDH who also exhibited joint laxity based on a positive Beighton scale. These individuals underwent molecular analysis targeting genes known to be associated with heritable connective tissue disorders. Results: Genetic testing revealed variants in several genes across our patient series. These included mutations in FBN1, FBN2, ZNF469, VEGFA, NOTCH1, ELN, MCTP2, and SMAD6. In some cases, the variants were inherited paternally, while others appeared de novo. Most of these variants were classified as of unknown significance according to ACMG guidelines. Conclusions: (1) Several “variants of unknown significance” in different genes causative for connective tissue disorders have been detected in half of the present series of patients with CDH and joint laxity; (2) although the majority of the variants are classified accordingly to the ACMG as “variants of unknown significance”, a role of predisposition or susceptibility to CDH cannot be excluded; (3) a precise clinical evaluation for features of connective disorders should be recommended in the diagnostic workflow of patients with CDH. Full article

Multiple genes within the DISC1 (Disrupted-in-Schizophrenia-1) interactome have been implicated in psychotic disorders, which are characterized by hallucinations, delusions, negative symptoms, and disorganized behavior. However, the genetic associations of specific psychotic symptoms remain poorly understood. Methods: We conducted a genetic association analysis of the DISC1 interactome for hallucinations and delusions in schizophrenia and bipolar disorder, using single-nucleotide polymorphism (SNP), gene, and gene-set approaches. Results: Our findings showed an association between the SNP rs6754640 in the NRXN1 gene and auditory hallucinations. Additionally, rs10263196 (EXOC4), rs7076156 (ZNF365), and nine NRXN1 SNPs were associated with delusions of reference, while rs17039676 (NRXN1) was linked to persecutory delusions. At the gene level, NRG1 and PCM1 were related to auditory hallucinations. The NRXN1, APP, EXOC4, and NUP210 genes were associated with delusions of reference, whereas NRG1 and APP were linked to persecutory delusions. Gene-set analysis indicated that pathways related to the regulation of neuronal structure and function were involved in auditory hallucinations, while cellular transport regulation pathways were associated with persecutory delusions. Conclusions: This study emphasizes the polygenic architecture of psychosis and suggests that distinct molecular mechanisms contribute to different types of hallucinations and delusions. Full article

Congenital heart disease (CHD) is associated with neurodevelopmental and cognitive impairments, but the underlying molecular mechanisms remain unclear. This study investigated cardiac neuronal genomics in CHD using single-nucleus RNA-sequencing data (GSE203274) from 157,273 cardiac nuclei of healthy donors and patients with hypoplastic left heart syndrome (HLHS), Tetralogy of Fallot (TOF), dilated (DCM), and hypertrophic (HCM) cardiomyopathies. The Uniform Manifold Approximation and Projection (UMAP) clustering identified major cardiac cell types, revealing neuron-specific transcriptional programmes. Neuronal populations showed enriched expression of neurodevelopmental disorder-linked genes (NRXN3, CADM2, ZNF536) and synaptic signalling pathways. CHD cardiac neurons exhibited upregulated markers of cognitive dysfunction (APP, SNCA, BDNF) and neurodevelopment regulators (DNMT1, HCFC1) across subtypes. Cardiomyocyte troponin elevation correlated with neuronal exosome receptor expression (TLR2, LRP1), suggesting intercellular communication. Gene ontology analysis highlighted overlaps between cardiovascular disease pathways and neurodevelopmental disorder signatures in CHD neurons. These findings provide the first neuro-genomic map of cardiac neurons in CHD, linking cardiac pathology to neural outcomes through transcriptional dysregulation. Further, the systemic analysis of clinical findings in CHD further supports the risk of neurodevelopmental impacts. In summary, this study identifies transcriptional dysregulation within cardiac neurons in CHD and, together with a systemic analysis of clinical data, provides molecular evidence linking cardiac pathology to neurodevelopmental and cognitive impairments. Full article

Uniparental disomies (UPDs) are among the causes of imprinting disorders. Specific phenotypes of most causative UPDs have been described. Here, we describe the case of a 2-year-old female patient who presented a syndromic phenotype. Chromosomal microarray analysis revealed UPD of the whole chromosome 16. Microsatellite analysis demonstrated paternal origin of the UPD and its isodisomic pattern (UPiD (16) pat). Mosaic trisomy 16 was not detected using the FISH method. Whole-exome sequencing revealed no pathogenetic genetic variants sufficient to explain the syndromic phenotype nor unmasked pathogenic recessive genetic variants on chromosome 16. Whole-genome trio DNA sequencing revealed no additional candidate pathogenic genetic variants to those detected by whole-exome sequencing, including miRNAs and lncRNAs. Imprinting disorders at 6q24.2, 7p12.2, 7q32.2, 11p15.5, 14q32.2, 15q11.2, and 20q13.32, as well as multilocus imprinting disturbances (MLIDs), were excluded by Methylation-Specific Multiplex Ligation-Dependent Probe Amplification (MS-MLPA). At the same time, we detected abnormal hypermethylation of the ZNF597 transcription start site differentially methylated region (ZNF597:TSS-DMR), accompanied by hypomethylation of the neighbouring ZNF597:3′ DMR. Both DMRs were normally imprinted, and the DNA alterations in our patient with UPD (16) pat are opposite to those previously described for maternal uniparental disomy (UPD (16) mat). To date, several cases of UPD (16) pat have been reported. Our case report describes the syndromic phenotype of a patient with paternal uniparental disomy of chromosome 16 in contrast to the previously described patients with a normal phenotype or with abnormal phenotypes caused by acquired homozygosity of pathogenic variants at autosomal recessive genes located on this chromosome. Reporting such observations will help systematize data on the phenotypes of imprinting disorders on chromosome 16. Full article

Liver fibrosis (LF) poses significant challenges in diagnosis and treatment. This study aimed to identify effective biomarkers for diagnosis and therapy, as well as to gain deeper insights into the immunological features associated with LF. LF-related datasets were retrieved from the Gene Expression Omnibus (GEO) database. Two datasets were merged to generate a metadata cohort for bioinformatics analysis and machine learning, while another dataset was reserved for external validation. Seventy-eight machine learning algorithms were employed to screen signature genes. The diagnostic performance of these genes was evaluated using receiver operating characteristic (ROC) curves, and their expression levels were validated via qRT-PCR experiments. The R language was utilized to delineate the immune landscape. Finally, correlation analysis was conducted to investigate the relationship between the signature genes and immune infiltration. Through the intersection of GEO datasets and Weighted Gene Co-expression Network Analysis (WGCNA), 42 genes were identified. Machine learning methods further narrowed down 13 signature genes (alpha-2-macroglobulin (A2M), ankyrin-3 (ANK3), complement component 7 (C7), cadherin 6 (CDH6), cysteine-rich motor neuron protein 1 (CRIM1), dihydropyrimidinase-like 3 (DPYSL3), F3, gamma-aminobutyric acid (GABA) receptor subunit epsilon (GABRE), membrane metalloendopeptidase (MME), solute carrier family 38 member 1 (SLC38A1), tropomyosin alpha-1 chain (TPM1), von Willebrand factor (VWF), and zinc finger protein 83 (ZNF83)), and qRT-PCR confirmed these genes’ expression patterns. Furthermore, these signature genes demonstrated strong correlations with multiple immune cell populations. In conclusion, the 13 genes (A2M, ANK3, C7, CDH6, CRIM1, DPYSL3, F3, GABRE, MME, SLC38A1, TPM1, VWF, and ZNF83) represent robust potential biomarkers for the diagnosis and treatment of LF. Among these genes, we first identified Gabre as related to LF and expressed in hepatocytes and cholangiocytes. The immune response mediated by these signature biomarkers plays a pivotal role in the pathogenesis and progression of LF through dynamic interactions between the biomarkers and immune-infiltrating cells. Full article

Zinc finger proteins are frequently implicated in a wide range of neurodevelopmental disorders (NDDs). In this study, we report a case of mild intellectual disability (ID), global developmental delay (GDD), and developmental coordination disorder (DCD) in an individual with unaffected parents. Trio-based whole-exome sequencing (WES) identified a de novo variant (c.1530dup, p.Glu511ArgfsTer16) in the ZNF496 gene of the proband. According to ACMG guidelines, this novel variant is classified as pathogenic. It creates a frameshift that introduces a premature stop codon, resulting in a truncated protein of 525 amino acids (compared to the wild-type 587 residues). Notably, NMDEscPredictor analysis predicted that the transcript escapes nonsense-mediated decay (NMD) despite the frameshift. Computational analyses suggest the potential pathogenetic effects of the identified variant. As documented, ZNF496 interacts with JARID2, a gene associated with NDDs, ID and facial dysmorphism (MIM: #620098). In silico analyses suggest that the identified mutation disrupts this interaction by deleting ZNF496’s C2H2 domain, potentially dysregulating JARID2 target genes. To our knowledge, this is the first reported association between ZNF496 and NDDs, and the variant has been submitted to the ClinVar database (SCV006100880). Functional studies are imperative to validate ZNF496’s role in NDDs and confirm the mutation’s impact on ZNF496-JARID2 interactions. Full article

Transcription factors play crucial roles in regulating gene expression, and any dysregulation in their levels could be involved in cancer progression. The role of androgen receptors (AR) and zinc finger (ZNF) proteins in tumors, like prostate cancer (PC), remains poorly understood. Moreover, due to the multifaceted transcriptional behavior of ARs and ZNFs, their biological role in cancer progression may also depend on the interplay with micro-RNAs (miRNAs). Based on The Cancer Genome Atlas (TCGA) database, we analyzed the expression levels of zinc finger transcripts and ARs in PC. Specifically, exploring their involvement in cancer progression and regulation by miRNAs. The analysis relied on several tools to create a multivariate combination of the original biomarkers to improve their diagnostic efficacy. Multidimensional Scaling (MDS) identified two new dimensions that were entered into a regression analysis to determine the best predictors of overall survival (OS) and disease-free interval (DFI). A combination of both dimensions predicted almost 50% (R² = 0.46) of the original variance of OS. Kaplan–Meier survival analysis also confirmed the significance of these two dimensions regarding the clinical output. This study showed preliminary evidence that several transcription factor expression levels belonging to the zinc family and related miRNAs can effectively predict patients’ overall PC survivability. Full article