Several lines of epidemiological and biochemical evidence support the association of type 2 diabetes mellitus (T2DM) and colorectal cancer (CRC). T2DM has been shown to impinge on the transcriptome of colon tumor cells, promoting their proliferation and invasion. In order to gain insight into diabetes-specific modulation of colon cancer signaling, we analyzed gene expression patterns of more than five hundred genes encoding signaling proteins on TaqMan OpenArray panels from colonoscopic colorectal tumor samples of type 2 diabetic and non-diabetic patients. In total, 48 transcripts were found to be differentially expressed in tumors of T2DM patients as compared to healthy colon samples. Enrichment analysis with the g:GOSt (Gene Ontology Statistics) functional profiling tool revealed that the underlying genes can be classified into five signaling pathways (in decreasing order of significance: Wnt (wingless-type)/β-catenin; Hippo; TNF (tumor necrosis factor); PI3K/Akt (phosphoinositide-3 kinase/protein kinase B), and platelet activation), implying that targeted downregulation of these signaling cascades might help combat CRC in diabetic patients. Transcript levels of some of the differentially expressed genes were also measured from surgically removed diabetic and non-diabetic CRC specimens by individual qPCR (quantitative real-time PCR) assays using the adjacent normal tissue mRNA levels as an internal control. The most significantly altered genes in diabetic tumor samples were largely different from those in non-diabetic ones, implying that T2DM profoundly alters the expression of signaling genes and presumably the biological characteristics of CRC.

COVID-19 associated coagulopathy (CAC), characterized by endothelial dysfunction and hypercoagulability, evokes pulmonary immunothrombosis in advanced COVID-19 cases. Elevated von Willebrand factor (vWF) levels and reduced activities of the ADAMTS13 protease are common in CAC. Here, we aimed to determine whether common genetic variants of these proteins might be associated with COVID-19 severity and hemostatic parameters. A set of single nucleotide polymorphisms (SNPs) in the vWF (rs216311, rs216321, rs1063856, rs1800378, rs1800383) and ADAMTS13 genes (rs2301612, rs28729234, rs34024143) were genotyped in 72 COVID-19 patients. Cross-sectional cohort analysis revealed no association of any polymorphism with disease severity. On the other hand, analysis of variance (ANOVA) uncovered associations with the following clinical parameters: (1) the rs216311 T allele with enhanced INR (international normalized ratio); (2) the rs1800383 C allele with elevated fibrinogen levels; and (3) the rs1063856 C allele with increased red blood cell count, hemoglobin, and creatinine levels. No association could be observed between the phenotypic data and the polymorphisms in the ADAMTS13 gene. Importantly, in silico protein conformational analysis predicted that these missense variants would display global conformational alterations, which might affect the stability and plasma levels of vWF. Our results imply that missense vWF variants might modulate the thrombotic risk in COVID-19.

Background: ZDHHC19—a protein acyltransferase—is known to be induced in sepsis, a dysregulated immune response to infection, but the underlying molecular mechanisms remain elusive. In this study, we aimed to explore whether upregulation of ZDHHC19 is modulated by single nucleotide polymorphisms (SNPs) affecting the binding of microRNA in the 3’ untranslated region of the gene. Methods: Inpatients with clinically verified severe infection (n = 83) or sepsis (n = 63) were recruited to the study. Genomic DNA and total RNA were prepared from buccal and peripheral blood samples, respectively. Genotyping of rs112579116 and rs2293161 SNPs was performed by TaqMan real-time PCR assays, while ZDHHC19 mRNA as well as miR-4733 and -596 microRNA levels were quantitated by reverse transcription qPCR. Correlations between genotypes, expression levels and clinical parameters were assessed by the Shapiro–Wilk, Mann–Whitney and t-tests. Results: Transcript levels of ZDHHC19 were significantly enhanced in septic blood samples (p = 0.0000709) and associated with clinical parameters such as procalcitonin levels, blood cell counts and clotting factors. Levels of both miRNAs showed an inverse but not significant correlation with those of ZDHHC19. Conclusions: Expression of ZDHHC19 should be considered a reliable molecular marker of sepsis, but further investigations are needed to shed light on regulatory mechanisms involved.

Background: Circulating microRNAs (miRNAs) have emerged as potential biomarkers of platelet reactivity and thrombotic risk. Among them, miR-223-3p regulates P2Y12 receptor expression and may influence response to antiplatelet therapy. This study aimed to evaluate the prognostic value of selected circulating miRNAs in post-stroke patients receiving antiplatelet treatment. Methods: Sixty ischemic stroke survivors were prospectively enrolled and followed for 18 months for recurrent vascular events (stroke, transient ischemic attack, or myocardial infarction). Plasma levels of miR-126-3p, miR-223-3p, miR-24-3p, and miR-199a-5p were quantified using reverse transcription real-time PCR. Clinical data, antiplatelet regimen, statin use, and Essen Stroke Risk Scores (ESRS) were recorded. Logistic regression was applied to identify independent predictors of thrombotic events. Results: Expression of all examined miRNAs differed significantly across treatment groups. The dual antiplatelet therapy (DAPT) group showed the highest levels of miR-126-3p and miR-199a-5p (p < 0.01). Within the statin-naïve DAPT subgroup, lower miR-199a-5p levels (p < 0.001) were observed among patients who experienced ischemic events (n = 7/60; 12%; stroke = 4, TIA = 2, ACS = 1) during 18 months of follow-up. In multivariate analysis, reduced miR-223-3p remained the only independent predictor of recurrent thrombotic events (OR 1.18, 95% CI 1.01–1.37, p = 0.036), independent of ESRS and platelet reactivity. Elevated miR-126-3p and miR-199a-5p were associated with favorable treatment response, particularly among statin users. Conclusions: This study identifies low circulating miR-223-3p as an independent biomarker of thrombotic risk in post-stroke patients, potentially reflecting enhanced platelet activation via P2Y12 signaling. In contrast, higher miR-126-3p and miR-199a-5p levels may indicate more effective antiplatelet response. These findings support the potential utility of miRNA profiling for individualized antiplatelet therapy and long-term risk stratification after ischemic stroke.

Plasma levels of glial cell line-derived neurotrophic factor (GDNF), a pivotal regulator of differentiation and survival of dopaminergic neurons, are reportedly decreased in schizophrenia. To explore the involvement of GDNF in the pathogenesis of the disease, a case–control association analysis was performed between five non-coding single nucleotide polymorphisms (SNP) across the GDNF gene and schizophrenia. Of them, the ‘G’ allele of the rs11111 SNP located in the 3′ untranslated region (3′-UTR) of the gene was found to associate with schizophrenia. In silico analysis revealed that the rs11111 ‘G’ allele might create binding sites for three microRNA (miRNA) species. To explore the significance of this polymorphism, transient co-transfection assays were performed in human embryonic kidney 293T (HEK293T) cells with a luciferase reporter construct harboring either the ‘A’ or ‘G’ allele of the 3′-UTR of GDNF in combination with the hsa-miR-1185-1-3p pre-miRNA. It was demonstrated that in the presence of the rs11111 ‘G’ (but not the ‘A’) allele, hsa-miR-1185-2-3p repressed luciferase activity in a dose-dependent manner. Deletion of the miRNA binding site or its substitution with the complementary sequence abrogated the modulatory effect. Our results imply that the rs11111 ‘G’ allele occurring more frequently in patients with schizophrenia might downregulate GDNF expression in a miRNA-dependent fashion.