This study aimed to investigate the effect of 7-day high-salt (HS) and the specific role of oxidative stress on vascular low-grade inflammation initiation in young salt-resistant healthy individuals. 30 young healthy individuals adhered to a 7-day low-salt (LS) diet (3.5 g salt/day), followed by a 7-day high-salt (HS) diet (~14.7 g salt/day) protocol. Pro- and anti-inflammatory cytokines, frequencies of peripheral blood Th17 and Treg cells, Th17/Treg ratio, enzymes SGK1, and p38/MAP kinase, as well as biomarkers of endothelial activation and oxidative stress, were measured before and after the 7-day HS diet protocol. Short-term HS diet significantly increased serum level of pro-inflammatory cytokines INF-γ, TNF-α, IL-9, and IL-17A levels, but also of anti-inflammatory cytokines IL-10 and TGF-β1. Relative amount of total SGK1 significantly increased, following the 7-day HS diet. Increased oxidative stress level, following HS diet, was negatively associated with the frequency of Treg cells. The increase in relative amount of total SGK1 in peripheral mononuclear cells following 7-day HS diet suggests lymphocyte (re)activation, in response to HS intake, resulting in enhanced production of pro-inflammatory (IL-17, INF-γ), but also anti-inflammatory cytokines (IL-10 and TGF-β1). Increased oxidative stress, due to HS loading, alters immune regulatory mechanisms, presumably via effects on Treg cells.
Background/Objectives: Chronic lymphocytic leukemia (CLL) is a hematologic malignancy characterized by uncontrolled accumulation of B lymphocytes. A key feature of CLL is the presence of genetic aberrations, particularly alterations of chromosome 17, such as deletion of 17q and/or mutations in the TP53 gene. Since these abnormalities are highly relevant for therapeutic decision-making, assessment of TP53 mutational status is strongly recommended in routine diagnostics. This study aimed to evaluate the reliability of TP53 sequencing results depending on the type of DNA sample analyzed. Methods: DNA was isolated from two different sample types of the same patient: mononuclear cells (CLL1) and purified CD19+ cells (CLL2). The entire coding region of TP53 (exons 2–11), including splice sites (+/− 10 bp), was analyzed using capture-based next-generation sequencing (NGS). Reads were aligned to the GRCh37/hg19 reference genome, and variants were interpreted using DRAGEN Enrichment (Illumina) and Franklin (QIAGEN). Results: In sample CLL1, the NM_000546.6:c.626_627del mutation (Tier I) was identified with a variant allele frequency (VAF) of 57.06%. The same mutation was confirmed in CLL2, but with a higher VAF of 94.78%. Importantly, an additional Tier I mutation (NM_000546.6:c.825_826del) was detected exclusively in CLL2 at a VAF of 1.59%. Both findings met the required sequencing depth as well as coverage per sample, confirming their validity. Conclusions: The study demonstrates that inadequate starting material for DNA isolation may mask low-frequency TP53 mutations, resulting in false-negative results. Accurate detection requires ensuring sufficient CD19+ cell content, which is critical for reliable diagnostics and supports personalized treatment approaches in CLL.
Background: Interindividual differences in statin efficacy and tolerability are partly determined by genetic and metabolic factors. The SLCO1B1 c.521T>C polymorphism affects hepatic statin transport, while vitamin D deficiency may influence lipid metabolism and muscular tolerance. This study aimed to assess the impact of SLCO1B1 genotype and vitamin D status on lipid-lowering response and adverse events in postmenopausal women treated with atorvastatin or rosuvastatin. Methods: A total of 145 Croatian postmenopausal women were prospectively followed for 16 weeks. Participants received atorvastatin or rosuvastatin with dose titration to achieve low-density lipoprotein cholesterol (LDL-C) targets. Serum lipids, liver enzymes, and creatine kinase were monitored monthly. Serum levels of 25-hydroxyvitamin D were quantified by LC–MS/MS, while SLCO1B1 c.521T>C genotyping was performed using real-time PCR. Results: Rosuvastatin achieved a higher LDL-C target attainment rate compared with atorvastatin (81.1% vs. 67.6%, p = 0.02). The SLCO1B1 genotype was not associated with lipid response but was significantly associated with adverse effects. In multivariable regression analysis, patients with the T/C genotype had a significantly higher risk of developing adverse effects compared with those with the T/T genotype (OR 7.4, 95% Cl 2.1–26.7, p = 0.002). Vitamin D status showed no significant association with lipid outcomes or adverse events, although participants with severe deficiency exhibited a weaker LDL-C response. Conclusions: Rosuvastatin demonstrated superior lipid-lowering efficacy and tolerability compared with atorvastatin in postmenopausal women. The SLCO1B1 c.521T>C variant primarily affected safety rather than efficacy, while severe vitamin D deficiency might contribute to diminished statin response. Integrating pharmacogenetic and endocrine profiling could enhance individualized statin therapy and cardiovascular prevention in women.
Background/Objectives: The COVID-19 pandemic has highlighted the importance of identifying factors influencing disease susceptibility and severity. This study investigates the association of ABO blood groups, the D antigen, and comorbidities such as hypertension and diabetes with COVID-19 severity among hospitalized patients in one Croatian center. Methods: A retrospective observational study was performed on 1687 moderately and severely ill COVID-19 patients and 7086 voluntary blood donors. We used medical records from PCR-confirmed COVID-19 patients hospitalized at University Hospital Center Osijek in Osijek, Croatia, and compared their ABO, RhD, and comorbidity profiles with those of voluntary blood donors. Key clinical data and outcomes, such as mortality and comorbidities, were assessed. Results: Our findings reveal a statistically significant association between blood group A and severe COVID-19 outcome and mortality. Conversely, D antigen status showed no significant impact. The combined presence of hypertension and diabetes emerged as a significant predictor of mortality. Conclusions: These results suggest that blood group A and specific comorbidities may be associated with worse outcomes, but age remained the strongest independent predictor of mortality. Blood group typing could still support risk stratification when interpreted alongside other clinical factors.
23 March 2026 in Southeastern European medical journal
Statins are first-line agents for managing dyslipidemia, primarily prescribed to reduce low-density lipoprotein cholesterol (LDL-C) and prevent atherosclerotic cardiovascular disease (ASCVD). Despite their proven efficacy, there is significant interindividual variability in statin response, with some patients experiencing adverse events such as statin-associated muscle symptoms (SAMS) and hepatotoxicity. These effects are partly attributable to genetic polymorphisms, particularly in the SLCO1B1 gene, which encodes the organic anion-transporting polypeptide 1B1 (OATP1B1) responsible for hepatic statin uptake. The SLCO1B1 rs4149056 polymorphism is associated with impaired transporter function, leading to elevated statin plasma concentrations and a higher risk of statin-induced myopathy, especially with simvastatin. Non-genetic factors, such as hypothyroidism, can exacerbate statin intolerance by impairing lipid metabolism and increasing the risk of myopathy and rhabdomyolysis due to reduced hepatic statin clearance. Vitamin D deficiency has also been linked to increased susceptibility to SAMS, as vitamin D plays a role in muscle function and statin metabolism through CYP enzyme modulation. Coenzyme Q10 (CoQ10) depletion, a consequence of statin therapy due to inhibition of the mevalonate pathway, may further contribute to mitochondrial dysfunction and muscle injury. Incorporating pharmacogenetic testing and addressing modifiable risk factors such as thyroid dysfunction and vitamin D deficiency may optimize statin therapy, reducing adverse effects while maintaining cardiovascular protection. Keywords: hydroxymethylglutaryl-CoA reductase inhibitors; SLCO1B1 gene; hypercholesterolemia; myopathy, statin-induced; pharmacogenomics
Background: Quantitative PCR measurement of BCR::ABL1 is essential for monitoring molecular response and detecting relapse in chronic myeloid leukemia (CML) patients. Given the availability of multiple commercial kits for cDNA synthesis and minimal residual disease assessment, analytical accuracy and reliability are critical. This study evaluated two commercial RT and qPCR kits for BCR::ABL1 quantification and fusion transcript variant identification. Methods: Total RNA was isolated from peripheral blood, bone marrow, and external quality control samples from the UK NEQAS for Leucocyte Immunophenotyping program. cDNA synthesis was performed using two kits: AffinityScript (ASK) and RT Kit (RTK). BCR::ABL1 transcript levels were determined using the ipsogen® BCR-ABL1 Mbcr IS-MMR Kit (IPS) and the LightMix® bcr-abl t(9;22) M/m/µ Kit (TMB). Results were compared with UK NEQAS LI reference data. Fusion transcript variants were analyzed using nested PCR and a commercial qPCR assay. Results: Substantial variability was observed between the TMB and IPS assays, with moderate, non-significant correlation and wide limits of agreement. Established discrepancies resulted in different classifications of molecular response, and IPS results showed better concordance with external quality assessment data. ABL1 quantification revealed significantly higher copy numbers with the RTK compared to the ASK (p < 0.0001), enabling more reliable assessment of deep molecular responses. Statistical analyses indicated systematic and proportional bias between the methods. For variant detection, nested PCR demonstrated higher specificity, while the commercial assay showed limited discriminatory capability. Conclusions: Significant methodological differences may affect clinical interpretation, underscoring the importance of validation and standardization in CML molecular monitoring.