Background: The differential diagnosis of tuberculosis (TB) and lung cancer (LC) is often challenging due to similar clinicopathological presentations when bacterial shedding is negative, which can lead to delays in treatment. In this study, we tested the potential of plasma-circulating microRNAs (miRNAs) for the early and differential diagnosis of TB and LC. Methods: We conducted a two-phase study: profiling 188 miRNAs in pooled plasma samples and validating 14 selected miRNAs in individual plasma samples from 68 LC patients, 38 pulmonary TB patients, and 41 healthy controls. Results: Twelve miRNAs were significantly elevated in LC patients compared to controls and TB patients, while two miRNAs were significantly elevated in TB patients compared to controls. ROC analysis demonstrated that miR-130b-3p, miR-1-3p, miR-423-5p, and miR-200a-3p had good discriminatory ability to distinguish LC patients (including those with stage I tumours) from healthy individuals and miR-130b-3p, miR-423-5p, miR-15b-5p, and miR-18b-5p effectively distinguished LC patients (including those with stage I tumours) from TB patients. Additionally, miR-18b-5p showed good discriminatory ability between SCLC and NSCLC patients. Conclusions: Circulating miRNAs hold strong potential for the early detection of LC and for distinguishing LC from TB.

Background and Objectives: Nowadays, every tenth adult in the world suffers from diabetes mellitus (DM). Diabetic retinopathy (DR) is the most common microvascular complication of type 2 DM (T2DM) and a leading cause of acquired blindness in middle-aged individuals in many countries. Previous studies have identified associations of several gene polymorphisms with susceptibility to microvascular complications of DM in various worldwide populations. In our study, we aimed to test the hypothesis of the associations of single nucleotide polymorphisms (SNP) of the VEGF (−2549I/D), RAGE (−429T/C and −374T/A), TCF7L2 (rs7903146), and ITGA2 (BglII) genes with a predisposition to DR among T2DM patients in the Kazakhstan population. Materials and Methods: We conducted a case–control study comparing the genotype distribution and allele frequencies between groups of DR patients (N = 94), diabetic patients without DR (N = 94), and healthy controls (N = 51). Genotypes were identified using the PCR-RFLP method. Results: In all cases, the genotype distribution corresponded to the Hardy–Weinberg equilibrium. The groups of diabetic patients with and without DR did not significantly differ in the genotype distribution of the SNPs studied. Differences between both groups of diabetic patients and healthy controls in four out of five SNPs were also not significant. At the same time, both groups of diabetic patients differed significantly from healthy controls in genotype distribution (p = 0.042 and 0.005, respectively) and allele frequencies (p = 0.021 and 0.002, respectively) of the BglII polymorphism in the ITGA2 gene. After adjusting for multiple comparisons, the differences between the group of diabetic patients without DR and the control group remained significant (p_Bonf = 0.027 for genotypes and p_Bonf = 0.009 for alleles). The BglII− allele was associated with diabetes: OR = 1.81 [1.09–2.99] for DR patients, and OR = 2.24 [1.34–3.75] for diabetic patients without DR. The association was also observed in the subset of Kazakhs. Conclusions: This study shows that the BglII polymorphism in the ITGA2 gene can be associated with T2DM but not with DR. According to our data, the risk allele for diabetes is the wild BglII− allele, and not the minor BglII+, which is considered as risky for DR.

Background/Objectives: The differential diagnosis of tuberculosis (TB) and lung cancer (LC) is often challenging due to similar clinicopathological presentations when bacterial shedding is negative, which can lead to delays in treatment. In this study, we tested the potential of plasma-circulating microRNAs (miRNAs) for the early and differential diagnosis of TB and LC. Methods: We conducted a two-phase study: profiling 188 miRNAs in pooled plasma samples and validating 14 selected miRNAs in individual plasma samples from 68 LC patients, 38 pulmonary TB patients, and 41 healthy controls. Results: Twelve miRNAs were significantly elevated in LC patients compared to controls and TB patients, while two miRNAs were significantly elevated in TB patients compared to controls. ROC analysis demonstrated that miR-130b-3p, miR-1-3p, miR-423-5p, and miR-200a-3p had good discriminatory ability to distinguish LC patients (including those with stage I tumours) from healthy individuals and miR-130b-3p, miR-423-5p, miR-15b-5p, and miR-18b-5p effectively distinguished LC patients (including those with stage I tumours) from TB patients. Additionally, miR-18b-5p showed good discriminatory ability between SCLC and NSCLC patients. Conclusions: Circulating miRNAs hold strong potential for the early detection of LC and for distinguishing LC from TB.

Diabetic kidney disease (DKD) remains one of the most severe microvascular complications of type 2 diabetes mellitus (T2DM) and a leading cause of chronic kidney disease (CKD) worldwide. Nevertheless, despite considerable progress in elucidating its molecular background, early diagnosis and accurate stratification of disease progression remain challenging when relying on conventional clinical biomarkers such as albuminuria and estimated glomerular filtration rate (eGFR). Growing evidence indicates that DKD is driven by interconnected pathogenic mechanisms, including chronic hyperglycemia, activation of the protein kinase C (PKC) signaling pathway, renin–angiotensin–aldosterone system (RAAS) dysregulation, oxidative stress, inflammatory cascades, and immune system activation involving Toll-like receptors (TLR) and the NLRP3 inflammasome. These processes collectively contribute to endothelial dysfunction, podocyte injury, extracellular matrix accumulation, and progressive renal fibrosis. Exosomes and their molecular cargo, particularly miRNAs, have emerged as promising regulators and non-invasive biomarkers reflecting ongoing renal injury. Urinary exosomal microRNAs (uEV-miRNAs) are of interest due to their stability in biological fluids and their direct origin from nephron segments, enabling real-time reflection of renal pathophysiology. Accumulating studies suggest that differentially expressed microRNAs (miRNAs), including miR-21-5p, miR-30a-5p, miR-192-5p, and miR-142-3p, are closely associated with key pathways in DN. However, their clinical translation remains limited by methodological heterogeneity, the lack of standardized isolation protocols, and insufficient validation in large longitudinal cohorts. This review navigates the current landscape of knowledge on the molecular mechanisms underlying DKD and examines the emerging role of uEV-miRNAs as diagnostic biomarkers. Altogether, uEV-miRNAs offer a promising avenue for improving early detection, risk stratification, and disease monitoring in DKD.

Relevance. Circulating microRNAs are promising minimally invasive biomarkers for the diagnosis of non-small cell lung cancer. However, their biological origin remains insufficiently understood. If the primary tumor represents their principal source, surgical tumor resection would be expected to reduce their plasma levels. Objective. To determine whether plasma levels of previously identified diagnostic miRNAs decrease following surgical tumor resection in patients with non-small cell lung cancer. Materials and methods. The study included 18 patients with histologically confirmed non-small cell lung cancer and 41 healthy controls who participated in our previous study. Paired patient plasma samples were collected before surgery and 14–119 days after surgery, prior to adjuvant therapy. The experimental workflow included magnetic bead-based RNA isolation, reverse transcription, TaqMan-based real-time PCR, and normalization to the exogenous spike-in control ath-miR-159a. Statistical analyses included correction for multiple comparisons. Results. Seven miRNAs (miR-130b-3p, miR-1-3p, miR-423-5p, miR-200a-3p, miR-154-5p, miR-376a-3p, and miR-18b-5p) were significantly elevated in preoperative plasma compared with healthy controls. Five remained significantly elevated after surgery. No statistically significant postoperative decrease in NSCLC-associated candidate miRNAs was detected after correction for multiple comparisons. Three miRNAs (miR-495-3p, miR-191-5p, and miR-543) showed postoperative decreases at nominal p < 0.05, but these differences did not remain significant after correction. Their preoperative levels did not differ significantly from those of healthy controls. No statistically significant correlation was detected between postoperative miRNA levels and the time from surgery to postoperative blood sampling in this sample. Conclusions. No statistically significant postoperative decrease in non-small cell lung cancer-associated candidate miRNAs was detected after correction for multiple comparisons. These findings do not establish their cellular origin or validate their utility for postoperative disease monitoring. Larger prospective studies are required.