Croatian Medical Journal最新文献

Over the past 30 years, forensic experts from Croatia and Bosnia and Herzegovina have embraced advanced technologies and innovations to enable great efficacy and proficiency in the identification of war victims. The wartime events in the countries of former Yugoslavia greatly influenced the application of the selected DNA analyses as routine tools for the identification of skeletal remains, especially those from mass graves. Initially, the work was challenging because of the magnitude of the events, technical aspects, and political aspects. Collaboration with reputable foreign forensic experts helped tremendously in the efforts to start applying DNA analysis routinely and with increasing success. In this article, we reviewed the most significant achievements related to the application of DNA analysis in identifying skeletal remains in situations where standard identification methods were insufficient.

Aim: To develop a non-invasive prenatal test for beta-hemoglobinopathies based on analyzing maternal plasma by using next generation sequencing.

Methods: We applied next generation sequencing (NGS) of maternal plasma to the non-invasive prenatal testing (NIPT) of autosomal recessive diseases, sickle cell disease and beta-thalassemia. Using the Illumina MiSeq, we sequenced plasma libraries obtained via a Twist Bioscience probe capture panel covering 4 Kb of chromosome 11, including the beta-globin (HBB) gene and >450 genomic single-nucleotide polymorphisms (SNPs) used to estimate the fetal fraction (FF). The FF is estimated by counting paternally transmitted allelic sequence reads present in the plasma but absent in the mother. We inferred fetal beta-globin genotypes by comparing the observed mutation (Mut) and reference (Ref) read ratios to those expected for the three possible fetal genotypes (Mut/Mut; Mut/Ref; Ref/Ref), based on the FF.

Results: We bioinformatically enriched the FF by excluding reads over a specified length via in-silico size selection (ISS), favoring the shorter fetal reads, which increased fetal genotype prediction accuracy. Finally, we determined the parental HBB haplotypes, which allowed us to use the read ratios observed at linked SNPs to help predict the fetal genotype at the mutation site(s). We determined HBB haplotypes via Oxford Nanopore MinION sequencing of a 2.2 kb amplicon and aligned these sequences using Soft Genetics' NextGENe LR software.

Conclusion: The combined use of ISS and HBB haplotypes enabled us to correctly predict fetal genotypes in cases where the prediction based on variant read ratios alone was incorrect.

Traditional newborn screening (NBS) serves as a critical tool in identifying conditions that may impact a child's health from an early stage. Newborn sequencing (NBSeq), the comprehensive analysis of an infant's genome, holds immense promise for revolutionizing health care throughout the lifespan. NBSeq allows for early detection of genetic disease risk and precision personalized medicine. The rapid evolution of DNA sequencing technologies and increasing affordability have spurred numerous endeavors to explore the potential of whole-genome sequencing in newborn screening. However, this transformative potential cannot be realized without challenges. Ethical aspects must be carefully navigated to safeguard individual rights and maintain public trust. Moreover, genomic data interpretation poses complex challenges due to its amount, the presence of variants of uncertain significance, and the dynamic nature of our understanding of genetics. Implementation hurdles, including cost, infrastructure, and specialized expertise, also present barriers to the widespread adoption of NBSeq. Addressing these challenges requires collaboration among clinicians, researchers, policymakers, ethicists, and stakeholders across various sectors. Robust frameworks for informed consent, data protection, and governance are essential. Advances in bioinformatics, machine learning, and genomic interpretation are crucial for translation into actionable clinical insights. Scalability and improving downstream health care access are vital for equitability, particularly in underserved communities. By fostering interdisciplinary collaboration, advancing technology and infrastructure, and upholding ethical principles, we can unlock the full potential of NBSeq as a tool for precision medicine and pave the way toward a future where every child has the opportunity for a healthier, genomics-informed start to life.

This review evaluates the current landscape and future directions of regenerative medicine for knee cartilage repair, with a particular focus on tissue engineering strategies. In this context, scaffold-based approaches have emerged as promising solutions for cartilage regeneration. Synthetic scaffolds, while offering superior mechanical properties, often lack the biological cues necessary for effective tissue integration. Natural scaffolds, though biocompatible and biodegradable, frequently suffer from inadequate mechanical strength. Hybrid scaffolds, combining elements of both synthetic and natural materials, present a balanced approach, enhancing both mechanical support and biological functionality. Advances in decellularized extracellular matrix scaffolds have shown potential in promoting cell infiltration and integration with native tissues. Additionally, bioprinting technologies have enabled the creation of complex, bioactive scaffolds that closely mimic the zonal organization of native cartilage, providing an optimal environment for cell growth and differentiation. The review also explores the potential of gene therapy and gene editing techniques, including CRISPR-Cas9, to enhance cartilage repair by targeting specific genetic pathways involved in tissue regeneration. The integration of these advanced therapies with tissue engineering approaches holds promise for developing personalized and durable treatments for knee cartilage injuries and osteoarthritis. In conclusion, this review underscores the importance of continued multidisciplinary collaboration to advance these innovative therapies from bench to bedside and improve outcomes for patients with knee cartilage damage.

Aim: To determine the attitudes of pregnant couples toward carrier screening genomic tests.

Methods: A validated 22-item questionnaire was offered in person by medical staff to pregnant women ≥32 weeks' gestation and their partners attending prenatal classes from May to July 2014. The questionnaire inquired about demographic data, interest in various forms of genetic carrier screening tests, and genetic literacy.

Results: Of 497 respondents, 69% expressed strong interest in carrier screening. The interested respondents exhibited substantial support for screening for common (82%) or all known genetic diseases (79%), as well as for treatable (79%) and untreatable diseases (85%). The majority of respondents believed that genetic test results could provide them with a sense of security but also provoke anxiety and fear. They were aware that these results could affect their perspective on life, work, and the atmosphere within their family, and acknowledged the potential effect on their relationship with their partner. However, none of these concerns diminished their desire to learn about their carrier status. Respondents with higher genetic literacy exhibited greater interest in screening tests (P=0.006). More non-religious respondents compared with practicing religious respondents (P=0.002), and more respondents with higher education compared with those with lower education, expressed interest in screening (P=0.003).

Conclusion: Most respondents expressed considerable interest in receiving information about their carrier status through genetic tests.

Aim: To determine variations in allele and genotype frequencies between keratoacanthoma (KA) and common warts (CW), compared with the control group, in three single nucleotide polymorphisms (SNPs) within the TLR2, TLR3, and TLR9 genes.

Methods: This case-control study involved samples from 161 patients with KA, 152 patients with CW, and 469 controls. DNA was isolated from formalin-fixed paraffin-embedded tissue sections. Three SNPs - rs4696480 in TLR2, rs7657186 in TLR9, and rs35213 in TLR3 - were genotyped with TaqMan Genotyping Assays on the 7500 Real-Time PCR System.

Results: TLR2 rs4696480 and TLR3 rs7657186 were significantly overrepresented in KA and CW compared with controls (P<0.001). The association was stronger for CW than for KA, as evidenced by higher frequencies of the A allele and AA genotype for rs4696480. Both KA and CW patients had higher frequencies of the G allele and GG genotype for rs7657186 than controls. rs7657186 was moderately associated with KA and CW, with the G allele and GG genotype being more prevalent in CW cases, where no AA homozygotes were found.

Conclusion: Genetic variants in TLR2 (rs4696480) and TLR3 (rs7657186) genes may affect KA and CW development, influencing immune responses and susceptibility to these skin lesions. Further research is required to elucidate TLR expression patterns and their role in KA development.

Aim: To assess the knowledge about the long-term consequences of preterm birth and the need for training and information among various professionals working with preterm children and parents of preterm children.

Methods: In February and March 2018, physicians, psychologists, special education needs teachers, teachers, preschool teachers, and parents (N=488) filled in the Preterm Birth-Knowledge Scale and a survey regarding their perceptions and attitudes toward working with preterm children.

Results: Physicians and psychologists were most knowledgeable among the groups about the long-term consequences of preterm birth. Teachers, preschool teachers, and parents had significantly lower knowledge (F=23.18, P<0.001). The majority of professionals indicated that they did not feel adequately equipped to support the learning and development of preterm children and that they had not received sufficient training in this area. More than half indicated that they had received no formal training. In general, the participants tended to underestimate the long-term problems of preterm children.

Conclusion: The findings underscore the importance of integrating the issue of the long-term outcomes of preterm birth and working with preterm children into formal education, and in other forms of educational activities.

Aim: To compare the effectiveness of artificial neural network (ANN) and traditional statistical analysis on identical data sets within the splenectomy-middle carotid artery occlusion (MCAO) mouse model.

Methods: Mice were divided into the splenectomized (SPLX) and sham-operated (SPLX-sham) group. A splenectomy was conducted 14 days before middle carotid artery occlusion (MCAO). Magnetic resonance imaging (MRI), bioluminescent imaging, neurological scoring (NS), and histological analysis, were conducted at two, four, seven, and 28 days after MCAO. Frequentist statistical analyses and ANN analysis employing a multi-layer perceptron architecture were performed to assess the probability of discriminating between SPLX and SPLX-sham mice.

Results: Repeated measures ANOVA showed no significant differences in body weight (F (5, 45)=0.696, P=0.629), NS (F (2.024, 18.218)=1.032, P=0.377) and brain infarct size on MRI between the SPLX and SPLX-sham groups post-MCAO (F (2, 24)=0.267, P=0.768). ANN analysis was employed to predict SPLX and SPL-sham classes. The highest accuracy in predicting SPLX class was observed when the model was trained on a data set containing all variables (0.7736±0.0234). For SPL-sham class, the highest accuracy was achieved when it was trained on a data set excluding the variable combination MR contralateral/animal mass/NS (0.9284±0.0366).

Conclusion: This study validated the neuroprotective impact of splenectomy in an MCAO model using ANN for data analysis with a reduced animal sample size, demonstrating the potential for leveraging advanced statistical methods to minimize sample sizes in experimental biomedical research.