Browsing by Author "Rasic, Milica (58209543500)"

Objectives: Inflammatory cytokines like tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, and IL-6 can cause brain injury, slow recovery, and adverse effects (ADEs) in ischemic stroke (IS) patients treated with recombinant tissue plasminogen activator (rtPA). We explored the relationship between selected polymorphisms within TNF-α, IL-1β and IL-6 genes, and post-IS outcome and ADEs in patients treated with rtPA. Methods: One hundred and sixty-six patients with IS treated with rtPA were included in this study. The modified Rankin Scale (mRS) was used to assess functional recovery 3 months after IS likewise thrombolytic therapy efficacy. Patients were classified into groups with favorable (0–1) or poor recovery based on their mRS score at the ninetieth day post-IS. During hospitalization, ADEs following rtPA were monitored. TNF-α-308 G/A (rs1800629), IL-1β-511 G/A (rs16944), and IL-6-174 G/C (rs1800795) polymorphisms were genotyped using Real-Time PCR. SPSS software version 22.0 was used for statistical analyses. Results: Patients with the TNF-α-308 G/A GG genotype had a higher mean NIHSS value at admission (12.75 ± 5.176) than those carrying A-allele (10.56 ± 3.979;p = 0.016). Individuals with the CC genotype of the IL-6-174 G/C polymorphism had significantly lower NIHSS scores (8.79 ± 5.053) than those with G-allele (12.06 ± 6.562) 24 hours after rtPA (p = 0.050). Patients with the GG genotype of the IL-6-174 G/C polymorphism had a significantly poorer outcome (p = 0.024; OR = 2.339; 95%CI 1.121–4.880), while patients who were G-allele carriers of the Il-6–174 G/C polymorphism and had the AA genotype of the IL-1β-511 G/A polymorphism were statistically significantly more likely to experience hemorrhagic transformation (p = 0.046; OR = 2.7273; 95%CI 1.0414–7.1426). Conclusion: GG genotype of the IL-6-174G/C polymorphism is associated with poor recovery after IS treated with rtPA therapy. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Objectives: Inflammatory cytokines like tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, and IL-6 can cause brain injury, slow recovery, and adverse effects (ADEs) in ischemic stroke (IS) patients treated with recombinant tissue plasminogen activator (rtPA). We explored the relationship between selected polymorphisms within TNF-α, IL-1β and IL-6 genes, and post-IS outcome and ADEs in patients treated with rtPA. Methods: One hundred and sixty-six patients with IS treated with rtPA were included in this study. The modified Rankin Scale (mRS) was used to assess functional recovery 3 months after IS likewise thrombolytic therapy efficacy. Patients were classified into groups with favorable (0–1) or poor recovery based on their mRS score at the ninetieth day post-IS. During hospitalization, ADEs following rtPA were monitored. TNF-α-308 G/A (rs1800629), IL-1β-511 G/A (rs16944), and IL-6-174 G/C (rs1800795) polymorphisms were genotyped using Real-Time PCR. SPSS software version 22.0 was used for statistical analyses. Results: Patients with the TNF-α-308 G/A GG genotype had a higher mean NIHSS value at admission (12.75 ± 5.176) than those carrying A-allele (10.56 ± 3.979;p = 0.016). Individuals with the CC genotype of the IL-6-174 G/C polymorphism had significantly lower NIHSS scores (8.79 ± 5.053) than those with G-allele (12.06 ± 6.562) 24 hours after rtPA (p = 0.050). Patients with the GG genotype of the IL-6-174 G/C polymorphism had a significantly poorer outcome (p = 0.024; OR = 2.339; 95%CI 1.121–4.880), while patients who were G-allele carriers of the Il-6–174 G/C polymorphism and had the AA genotype of the IL-1β-511 G/A polymorphism were statistically significantly more likely to experience hemorrhagic transformation (p = 0.046; OR = 2.7273; 95%CI 1.0414–7.1426). Conclusion: GG genotype of the IL-6-174G/C polymorphism is associated with poor recovery after IS treated with rtPA therapy. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Despite advances in cancer treatment, pancreatic cancer (PC) remains a disease with high mortality rates and poor survival outcomes. The B7 homolog 3 (B7-H3) checkpoint molecule is overexpressed among many malignant tumors, including PC, with low or absent expression in healthy tissues. By modulating various immunological and nonimmunological molecular mechanisms, B7-H3 may influence the progression of PC. However, the impact of B7-H3 on the survival of patients with PC remains a subject of debate. Still, most available scientific data recognize this molecule as a suppressive factor to antitumor immunity in PC. Furthermore, it has been demonstrated that B7-H3 stimulates the migration, invasion, and metastasis of PC cells, and enhances resistance to chemotherapy. In preclinical models of PC, B7-H3-targeting monoclonal antibodies have exerted profound antitumor effects by increasing natural killer cell-mediated antibody-dependent cellular cytotoxicity and delivering radioisotopes and cytotoxic drugs to the tumor site. Finally, PC treatment with B7-H3-targeting antibody-drug conjugates and chimeric antigen receptor T cells is being tested in clinical studies. This review provides a comprehensive analysis of all PC-related studies in the context of B7-H3 and points to deficiencies in the current data that should be overcome by future research. ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.

Background: Array-based genomic analysis is a gold standard for the detection of copy number variations (CNVs) as an important source of benign as well as pathogenic variations in humans. The introduction of chromosomal microarray (CMA) has led to a significant leap in diagnostics of genetically caused congenital malformations and neurodevelopmental disorders, with an average diagnostic yield of 15%. Here, we present our experience from a single laboratory perspective in four years’ postnatal clinical CMA application. Methods: DNA samples of 430 patients with congenital anomalies and/or neurodevelopmental disorders were analyzed by comparative genome hybridization using oligonucleotide-based microarray platforms. Interpretation of detected CNVs was performed according to current guidelines. The detection rate (DR) of clinically significant findings (pathogenic/likely pathogenic CNVs) was calculated for the whole cohort and isolated or combined phenotypic categories. Results: A total of 140 non-benign CNVs were detected in 113/430 patients (26.5%). In 70 patients at least one CNV was considered clinically significant thus reaching a diagnostic yield of 16.3%. The more complex the phenotype, including developmental delay/intellectual disability (DD/ID) as a prevailing feature, the higher the DR of clinically significant CNVs is obtained. Isolated congenital anomalies had the lowest, while the “dysmorphism plus” category had the highest diagnostic yield. Conclusion: In our study, CMA proved to be a very useful method in the diagnosis of genetically caused congenital anomalies and neurodevelopmental disorders. DD/ID and dysmorphism stand out as important phenotypic features that significantly increase the diagnostic yield of the analysis. © 2022 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.

Background: Array-based genomic analysis is a gold standard for the detection of copy number variations (CNVs) as an important source of benign as well as pathogenic variations in humans. The introduction of chromosomal microarray (CMA) has led to a significant leap in diagnostics of genetically caused congenital malformations and neurodevelopmental disorders, with an average diagnostic yield of 15%. Here, we present our experience from a single laboratory perspective in four years’ postnatal clinical CMA application. Methods: DNA samples of 430 patients with congenital anomalies and/or neurodevelopmental disorders were analyzed by comparative genome hybridization using oligonucleotide-based microarray platforms. Interpretation of detected CNVs was performed according to current guidelines. The detection rate (DR) of clinically significant findings (pathogenic/likely pathogenic CNVs) was calculated for the whole cohort and isolated or combined phenotypic categories. Results: A total of 140 non-benign CNVs were detected in 113/430 patients (26.5%). In 70 patients at least one CNV was considered clinically significant thus reaching a diagnostic yield of 16.3%. The more complex the phenotype, including developmental delay/intellectual disability (DD/ID) as a prevailing feature, the higher the DR of clinically significant CNVs is obtained. Isolated congenital anomalies had the lowest, while the “dysmorphism plus” category had the highest diagnostic yield. Conclusion: In our study, CMA proved to be a very useful method in the diagnosis of genetically caused congenital anomalies and neurodevelopmental disorders. DD/ID and dysmorphism stand out as important phenotypic features that significantly increase the diagnostic yield of the analysis. © 2022 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.

In the context of rheumatoid arthritis (RA) treatment, Methotrexate (MTX) plays a crucial role in preventing joint damage and bone erosion (BE). RA is characterized by elevated levels of matrix metalloproteinase 2 (MMP2), an enzyme responsible for extracellular matrix degradation, which contributes to joint damage and inflammation. Tissue inhibitor of metalloproteinase 2 (TIMP2) counteracts MMP2, and an imbalance between the two can exacerbate BE. Inosine triphosphatase (ITPA) is an enzyme involved in regulating inosine triphosphate levels, potentially linked to RA susceptibility. Genetic variations in ITPA, MMP2, and TIMP2 genes can influence MTX's efficacy. A study of 122 RA patients on MTX monotherapy assessed its effectiveness using Disease Activity Score (DAS28) changes over 6 months following EULAR response criteria. Genotyping, including MMP2 (rs243866, rs2285053), TIMP2 (rs2277698), and ITPA (rs1127354) polymorphisms, was performed. Among the patients, 87.7% were responders, 63.9% experienced BE, and 24.6% encountered adverse events. Notably, patients with the MMP2 (rs243866) GG genotype were the only ones reporting nausea (p=0.025). Patients with both the MMP2 (rs2285053) CC and TIMP2 (rs2277698) CT genotypes had a lower incidence of BE compared to those lacking this combination (p=0.048). The TIMP2 (rs2277698) CC genotype was associated with a higher baseline DAS28 score (p=0.035). In summary, this study suggests that specific MMP2/TIMP2 genotype combinations may serve as predictors for BE development in RA patients undergoing MTX monotherapy. © 2024 Marmara University Press.

In the context of rheumatoid arthritis (RA) treatment, Methotrexate (MTX) plays a crucial role in preventing joint damage and bone erosion (BE). RA is characterized by elevated levels of matrix metalloproteinase 2 (MMP2), an enzyme responsible for extracellular matrix degradation, which contributes to joint damage and inflammation. Tissue inhibitor of metalloproteinase 2 (TIMP2) counteracts MMP2, and an imbalance between the two can exacerbate BE. Inosine triphosphatase (ITPA) is an enzyme involved in regulating inosine triphosphate levels, potentially linked to RA susceptibility. Genetic variations in ITPA, MMP2, and TIMP2 genes can influence MTX's efficacy. A study of 122 RA patients on MTX monotherapy assessed its effectiveness using Disease Activity Score (DAS28) changes over 6 months following EULAR response criteria. Genotyping, including MMP2 (rs243866, rs2285053), TIMP2 (rs2277698), and ITPA (rs1127354) polymorphisms, was performed. Among the patients, 87.7% were responders, 63.9% experienced BE, and 24.6% encountered adverse events. Notably, patients with the MMP2 (rs243866) GG genotype were the only ones reporting nausea (p=0.025). Patients with both the MMP2 (rs2285053) CC and TIMP2 (rs2277698) CT genotypes had a lower incidence of BE compared to those lacking this combination (p=0.048). The TIMP2 (rs2277698) CC genotype was associated with a higher baseline DAS28 score (p=0.035). In summary, this study suggests that specific MMP2/TIMP2 genotype combinations may serve as predictors for BE development in RA patients undergoing MTX monotherapy. © 2024 Marmara University Press.

The influence of chromosomal sex on human diseases is recognized but underresearched, particularly in diseases with early developmental origins. Copy number variations (CNVs) from sex chromosomes or autosomes, which cause different gene expressions, may influence the disease preferences in females and males. Chromosomal microarray is a standard method for detecting CNVs, with a diagnostic yield of approximately 15 % among patients with congenital anomalies and neurodevelopmental disorders, the primary indications for the analysis. Here, we explore sex disparities in phenotype prevalence and CNV detection rates in patients referred for chromosomal microarray to identify sex-biased traits and CNVs. Our cohort comprises 1412 patients, with a male-to-female ratio of 1.6 to 1. Despite being outnumbered, females are significantly more likely to receive a genetic diagnosis through this type of molecular karyotyping. Most of the patients have neurodevelopmental disorders with other comorbidities. Females have a higher frequency of comorbidities, but the difference in diagnostic yield is significant only in the groups with simpler phenotypes (≤2 comorbidities). Higher diagnostic yield is revealed for congenital heart disease, urogenital anomalies, and the autism spectrum group. All three categories show populational preponderance in males, supporting a higher threshold liability model in females. © 2025 Elsevier B.V.