Search Results (333)

Background/Objectives: Inherited platelet disorders (IPDs) are diverse conditions characterized by abnormalities in platelet count and function. Next-Generation Sequencing (NGS) shows promise as a diagnostic tool in the diagnosis of IPDs. This study aims to assess the clinical value and limitations of using a targeted NGS panel in diagnosing children with suspected IPDs. Methods: We conducted a retrospective study of 93 children evaluated for suspected IPDs. A targeted NGS panel of 14 IPD-associated genes (RUNX1, WAS, ADAMTS13, ANKRD26, CYCS, GATA1, GP1BA, GB1BB, GP9, ITGA2B, ITGB3, MASTL, MPL, MYH9) was performed. Results: Genetic variants were identified in 30 patients (32.3% of the cohort). A total of 37 variants, of which 15 (40.5%) were novel, were found across 11 of the 14 genes on the panel (all except MPL, CYCS, and RUNX1). Variants were most frequently found in ITGB3 (18.9% of variants), GP1BA (16.2%), and ADAMTS13 (16.2%) genes. The majority of variants (64.9%) were classified as variants of uncertain significance (VUS), followed by likely pathogenic (LP) (27%) and pathogenic (8.1%) variants. Most variants were in a heterozygous state (73%). Specific cases highlighted complex genetic scenarios, such as co-occurring variants, and the identification of pathogenic and LP variants in patients initially presenting with immune thrombocytopenia. Conclusions: NGS helps to identify genetic causes, assess risk, manage, and provide genetic counseling in the management of IPDs. However, the prevalence of VUS underscores the need for a multidisciplinary approach to evaluate NGS results accurately. Full article

Acute aortic syndromes (AAS) include a spectrum of life-threatening conditions that pose considerable diagnostic challenges, particularly in emergency care settings. Clinical scores and circulating biomarkers have become essential in improving diagnostic accuracy, risk stratification, and guiding clinical decision-making. Tools such as the Aortic Dissection Detection Risk Score (ADD-RS) and the AORTAs score offer structured methods for identifying patients at elevated risk; however, their diagnostic performance can be further enhanced through integration with biomarker testing and imaging modalities. Biomarkers including D-dimer, NT-proBNP, cardiac troponins, and novel candidates such as soluble ST2 (sST2) and matrix metalloproteinase-8 and 9 (MMP-8, MMP-9), have demonstrated potential in refining diagnostic and prognostic assessments with an outstanding sensibility. ADAMTS-1 and ADAMTS-4 appear to have the best diagnostic accuracy, whereas certain non-coding DNAs (miR-15a) achieve an exceptionally high negative predictive value. These biomarkers reflect key underlying mechanisms such as inflammation, oxidative stress, and vascular injury, offering valuable insights into disease severity and progression. However, limitations related to specificity, inter-cohort variability, and assay standardization currently hinder their widespread clinical adoption. Further validation through large-scale, multi-center studies is essential to establish their role within integrated diagnostic pathways. Full article

Normal proliferation of ovarian granulosa cells is essential for follicular development. The results of this study showed that ADAMTS1 was primarily localized in the cytoplasm of granulosa cells in sheep ovarian follicles, as revealed by immunohistochemistry and immunofluorescence staining. Knockdown and overexpression experiments of ADAMTS1 in granulosa cells demonstrated that the number of EdU-positive cells significantly decreased in the knockdown group (p < 0.05), while the expression levels of Bax (p < 0.05), Bax/Bcl2 (p < 0.01), and caspase3 (p < 0.05) were significantly upregulated, indicating that knockdown of ADAMTS1 markedly inhibited granulosa cell proliferation. In contrast, overexpression of ADAMTS1 significantly promoted cell proliferation. Transcriptome sequencing revealed that PSAT1 and SLC6A9 were significantly downregulated in the knockdown group and significantly upregulated in the overexpression group, which was confirmed by Quantitative Polymerase Chain Reaction (Q-PCR) (p < 0.05). KEGG enrichment analysis showed that PSAT1 was significantly enriched in the glycine, serine and threonine metabolism and vitamin B6 metabolism pathways. Molecular docking analysis indicated a stable binding interface between ADAMTS1 and PSAT1. Based on these findings, we speculate that ADAMTS1 may regulate amino acid metabolism in ovarian granulosa cells by modulating the expression of SLC6A9, which in turn affects PSAT1 in the glycine, serine, and threonine metabolism and vitamin B6 metabolism pathways, thereby influencing granulosa cell proliferation. Full article

Background/Objectives: Liver cancer is a common cause of cancer-related deaths among men and women globally. A disintegrin and metalloproteinase with thrombospondin motif 1 (ADAMST1) has been associated with various cancers, including prostate, esophageal, renal, and breast cancers. However, its role in liver cancer remains unclear. The aim of this study was to investigate the relationship between G protein-coupled estrogen (GPER) activation via its agonist, G1, and ADAMTS1 in suppressing liver cancer metastasis. Methods: Following preliminary assessment of Hep3B, Huh7, and SK-Hep-1 cells, SK-Hep-1 cells were selected owing to their elevated GPER expression and reduced cell viability. Cells were subjected to flow cytometry, RNA sequencing, and proteomics analyses. We established an SK-Hep-1 xenograft model for in vivo analysis. Results: We observed G1-induced G2-M phase cell cycle arrest, increased p53 and p21, and decreased cell cycle-related factors. In vivo, G1 significantly inhibited tumor growth and increased p53 protein expression. ADAMTS1, a metastasis regulator, was significantly upregulated by G1. G1 reduced the proliferating cell nuclear antigen and increased E-cadherin expression in SK-Hep-1 cells and in vivo. Tumor invasion was reduced with G1 and ADAMTS1 expression. In vivo, G1 reduced liver metastasis, increased E-cadherin, and decreased vimentin and proliferating cell nuclear antigen in primary tumor tissues and increased ADAMTS1 at the tumor edge. Conclusions: GPER agonists, such as G1, show potential for suppressing liver cancer progression and metastasis. Full article

Background: Endometriosis is a chronic inflammatory condition affecting 10–15% of women of reproductive age. Genome-wide association studies (GWASs) have accounted for only a fraction of its high heritability, indicating the need for alternative approaches to identify rare genetic variants contributing to its etiology. To this end, we performed whole-exome sequencing (WES) in a multi-affected family. Methods: A multigenerational family was studied, comprising three sisters, their mother, grandmother, and a daughter, all diagnosed with endometriosis. WES was conducted on the three sisters and their mother. We used the enGenome-Evai and Varelect software to perform our analysis, which mainly focused on rare, missense, frameshift, and stop variants. Results: Bioinformatic analysis identified 36 co-segregating rare variants. Six missense variants in genes associated with cancer growth were prioritized. The top candidates were c.3319G>A (p.Gly1107Arg) in the LAMB4 gene and c.1414G>A (p.Gly472Arg) in the EGFL6 gene. Variants in NAV3, ADAMTS18, SLIT1, and MLH1 may also contribute to disease onset through a synergistic and additive model. Conclusions: We identified novel candidate genes for endometriosis in a multigenerational affected family, supporting a polygenic model of the disease. Our study is an exploratory family-based WES study, and replication and functional studies are warranted to confirm these preliminary findings. Full article

The frequency of specific variants associated with the risk of developing cardiovascular diseases has been extensively studied through genome-wide association studies (GWASs). Differences between populations may be caused by the interaction of several factors, such as environmental and genetic backgrounds. Here, we studied 19 SNPs involved in atherosclerosis (AT) and venous thromboembolism (VTE) risk in the Azorean and mainland Portuguese populations and compared their frequencies with other European, Asian, and African populations. Results revealed that, although there was no difference between Azorean and mainland populations, eight SNPs in ADAMTS7, PCSK9, APOE, and LDLR genes showed significant statistical differences (χ², p < 0.05) when compared with the European population. The multilocus genetic profile (MGP) analysis demonstrated that 7.4% of mainlanders and 11.2% of Azoreans have a high-risk of developing atherosclerosis. The opposite tendency was observed for venous thromboembolism risk, where the mainland population presented a higher risk (6.5%) than the Azorean population (4.1%). Significant differences in VTE-MGP distribution were found among the Azorean geographic groups (p < 0.05), with the Eastern group showing the highest VTE risk. Conversely, for the risk AT-MGP, the Central group shows the highest risk (12.9%). Taken together, the data suggest a risk of developing a cardiovascular disease consistent with the European population. However, the Azorean-specific genetic background and socio-cultural habits (dietary and sedentary) may explain the differences observed, validating the need to assess the allelic and genotypic frequencies between different populations, especially in small geographical locations, such as the Azores archipelago. In conclusion, these findings can improve the prevention, diagnosis, and treatment of high-risk individuals, and contribute to reducing the lifelong burden of cardiovascular diseases in the Azorean population. Full article

Recent advances have highlighted the multifaceted roles of the lymphatic vasculature in immune cell trafficking, immunomodulation, nutrient transport, and fluid homeostasis. Beyond these physiological functions, lymphatic vessels are critically involved in pathologies such as cancer metastasis and lymphedema, rendering their structural and functional regulation of major interest. Emerging evidence suggests that limited proteolysis is a key regulatory mechanism for lymphatic vascular function. In dyslipidemic conditions, dysregulated calpain activity impairs lymphatic trafficking and destabilizes regulatory T cells, partly via the limited proteolysis of mitogen-activated kinase kinase kinase 1 and inhibitor of κBα. In addition, a disintegrin and metalloprotease with thrombospondin motifs-3-mediated proteolytic activation of vascular endothelial growth factor-C has been implicated in both developmental and tumor-associated lymphangiogenesis. Proteolytic shedding of lymphatic vessel endothelial hyaluronan receptor-1 by a disintegrin and metalloprotease 17 promotes lymphangiogenesis, whereas cleavage by membrane-type 1 matrix metalloproteinase inhibits it. This review is structured around two core aspects—lymphatic inflammation and lymphangiogenesis—and highlights recent findings on how limited proteolysis regulates each of these processes. It also discusses the therapeutic potential of targeting these proteolytic machineries and currently unexplored research questions, such as how intercellular junctions of lymphatic endothelial cells are controlled. Full article

Sinusoidal Obstruction Syndrome/Veno-Occlusive Disease (SOS/VOD) is a severe complication of hematopoietic cell transplantation (HCT). Furthermore, emerging evidence suggests the potential role of complement activation and endothelial injury in SOS/VOD pathogenesis. In this study, we aimed to identify potential distinct pathogenic genetic variants between SOS/VOD and other endothelial injury syndromes following HCT, such as transplant-associated thrombotic microangiopathy (TA-TMA). For this aim, genomic DNA from 30 SOS/VOD patients and 30 controls with TA-TMA was analyzed. Using Next-Generation Sequencing (NGS), variants in complement-related genes (CFH, CFI, CFB, CFD, C3, CD55, C5, CD46, and thrombomodulin/THBD) and ADAMTS13 were examined. Out of 426 detected variants, 20 were classified as pathogenic. In SOS/VOD patients, variants were identified in ADAMTS13 (4), CFH (3), C3 (2), and CFB (1) genes. One of the variants has been recognized as the strongest genetic predictor of ADAMTS13 activity. Controls exhibited more variants in complement-related genes, particularly CFH, CFI, and C3. The genetic differences between SOS/VOD and TA-TMA highlight different pathogenic mechanisms, offering the potential for targeted risk assessment and therapy in HCT recipients. Full article

Background: The enzyme A Disintegrin and metalloprotease with thrombospondin type 1 motif, member 13 (ADAMTS13) regulates hemostasis by cleaving von Willebrand factor (VWF) multimers. ADAMTS13–VWF axis dysregulation leads to different thrombotic conditions. This study investigated changes in ADAMTS13 activity during major cardiac procedures and their relationship to VWF changes and clinical complications. Methods: A total of 628 ADAMTS13 activity and inhibitor measurements were carried out in 168 patients who underwent cardiac surgery. ADAMTS13 activity was measured after the initiation of anesthesia and daily for up to 6 days postoperatively via Technozym chromogenic ELISA. The von Willebrand factor antigen (VWF:Ag) and collagen binding (VWF:CB) were also measured. Clinical complications and correlations with liver function biomarkers were also assessed. Results: ADAMTS13 activity significantly decreased during surgery, with mean values markedly decreasing from preoperative to postoperative measurements (p = 0.01). A clear inverse relationship between ADAMTS13 activity and the VWF:CB/VWF:AG ratio was observed, indicating that increased high-molecular-weight VWF multimers are associated with decreased ADAMTS13 activity. Correlation analyses (CHE, Spearman’s rho = 0.39) indicated that the reduction in ADAMTS13 activity was not attributable to impaired liver synthesis but likely resulted from peripheral consumption, potentially influenced by surgical stress. Conclusions: Perioperative reductions in ADAMTS13 activity are associated with an accumulation of high-molecular-weight VWF multimers and a higher incidence of postoperative complications. These results demonstrate that ADAMTS13 could be a useful perioperative risk biomarker for cardiac surgery patients. Full article

Purpose: We aimed to investigate whether genetic variants susceptible to age-related macular degeneration (AMD) are associated with intraocular inflammation after brolucizumab administration in eyes that have exudative AMD. Methods: A total of 206 eyes from 206 patients (156 men/50 women, 74.0 ± 8.4 years; treatment-naïve, 128 [62.1%]; switching, 78 [37.9%]) were included in this study. All patients were treated with intravitreal brolucizumab at least once. The genotyping of ARMS2 A69S (rs10490924), CFH I62V (rs800292), CFH (rs1329428), SKIV2L (rs429608), C3 (rs2241394), cholesteryl ester transfer protein (CETP) (rs3764261), and ADAMTS9 (rs6795375) was performed using TaqMan technology. Results: Out of the 206 patients who were included, 21 eyes from 21 patients (10.2%) exhibited intraocular inflammation (IOI). Four (19.0%) exhibited severe IOI, including retinal vasculitis and/or retinal vascular occlusion, and 17 (81.0%) showed mild IOI. The frequency of the T allele of the CETP gene was significantly lower in patients who developed IOI compared to patients who did not develop IOI (T allele frequency: 9.5% vs. 23.5%, p = 0.036). After adjusting for confounding factors, the T allele remained significantly associated with protection against IOI (p = 0.028, 95% confidence interval: 0.098–0.88). Conclusions: The T allele of the CETP gene, a risk allele for AMD and the protective allele for atherosclerosis, may be associated with protection against IOI after brolucizumab administration in eyes that have exudative AMD. Full article

Rectal carcinoma (RC) represents approximately 30% of all colorectal carcinomas (CRC) and is considered a distinct clinical entity. Vascular invasion (VI) is recognized as an independent predictor of poor outcomes in RC. In this study, we applied bioinformatics methods to identify gene pathways most likely associated with VI in rectal carcinoma. As ADAMTS8 showed statistically significant negative relations with the VI in RC patients, we further analyzed its top co-dependent genes—DNAL4, EVI2B, PPP1R35, PTGR3, RPL21, SOX4, and ZNF3—for the experimentally proven molecular modulators. We identified a total of 23 compounds from the Comparative Toxicogenomics Database based on previously reported data for all eight target genes. The search was expanded to include additional chemical agents by structure similarity using the PubChem database, which revealed 9661 additional compounds. These were subsequently used for molecular interaction analysis against target proteins co-expressed with, or associated with, ADAMTS8 in RC with VI. Ultimately, we identified four high-affinity compounds—cyanoginosin LR, doxorubicin, benzo[a]pyrene, and dibenzo(a,e)pyrene—that interacted with all target proteins. These compounds show potential for further assessment of their role in modulating processes related to vascular invasion, which is a strong negative predictor of RC outcomes. Full article

The leading causes of pediatric arterial ischemic stroke (PAIS) are arteriopathies, which refer to pathologies of the arterial walls in the brain. Since traditional risk factors for cardiovascular diseases in children play a smaller role than in adults, it can be supposed that genetic factors may be of particular importance in this age group. Therefore, this study aimed to identify mutations affecting the formation of vascular wall pathologies, which can subsequently lead to ischemic stroke. The study used a database of 92 Caucasian children diagnosed with ischemic stroke. From this group, 25 children with arteriopathies were selected. The study had an exploratory and descriptive design, with the aim of characterizing rare genetic variants in a selected cohort, without attempting formal statistical association testing. The sequencing was performed using the Illumina NextSeq 550 platform. A panel of 161 genes known to be associated with stroke or arteriopathies was selected for further analysis. We identified 10 pathogenic or likely pathogenic mutations in 15 patients. Among these, three are likely monogenic causes of stroke (ELN, SCN5A, and VHL genes), two are considered risk factors (FV and ADAMTS13), two have conflicting interpretations (ACAD9 and ENG), and three are most likely benign (CBS, PMM2, and PKD1). The frequency of genetic variants underlying ischemic stroke or acting as risk factors for the disease in the studied group is significantly higher than the estimated frequency of monogenic forms of stroke in young adults and higher than in the general population. NGS testing is worth considering, especially in patients who exhibit certain symptoms that may suggest the presence of mutations. Full article

Currently, there is no standard treatment for renal cell carcinoma (RCC) that is free of side effects and resistance. Additionally, limited information exists on how curcumin affects the gene expression profiles of patients with translocation renal cell carcinoma (tRCC) and papillary renal cell carcinoma (pRCC). The pathways responsible for metastasis in tRCC are still not well understood, and there is no established treatment or reliable biomarker to predict outcomes for metastatic tRCC. Primary clinical data from patients were retrieved from the TCGA database and analyzed using cBioPortal, stitch, string, R and Python. Various analyses were performed, including differential gene expression, protein-protein interaction (PPI) network analysis, drug-targeted gene analysis, gene ontology (GO), enrichment analyses, and systematic searches to assess the impact of curcumin on the transcriptomic profiles of tRCC, pRCC, and clear cell renal cell carcinoma (ccRCC). No significant impact of sensitive genes on survival in KIRC and KIRP was found, though a trend suggested they may delay disease progression. The combination of curcumin with sunitinib showed promise in overcoming drug resistance in ccRCC by inducing ferroptosis, reducing iron, and increasing ADAMTS18 expression. This study, leveraging data from the TCGA database and other databases explored the impact of curcumin on transcriptomic profiles in tRCC, pRCC, and clear cell RCC (ccRCC). Gene analysis revealed immune and metabolic differences, with KIRC showing a stronger immune response. This study is the first to propose that future research into the miR-148/ADAMTS18 genes and the ferroptosis pathway in tRCC and pRCC could lead to the development of new therapies and the identification of novel therapeutic targets, potentially overcoming drug resistance and metastasis. Full article

Cattle breeding has traditionally focused on improving production traits; however, recent interest in positive animal welfare has shifted attention toward selecting for more robust animals that balance productivity with health and well-being. The aim of the current study was to assess whether behavioural responses during milking in dual-purpose cattle are associated with genetic markers, previously linked to temperament traits in dairy and beef breeds. We focused on 185 lactating cows belonging to the Simmental strain (Romanian Spotted, national name), which were evaluated for their milking behaviour. Genotyping was performed using an 88-SNP panel selected based on prior associations with dairy and beef cattle temperament. We identified five SNPs that were significantly associated with milking reactivity in the Romanian Spotted breed, located in genes previously linked to neural development, stress response and behavioural regulation (USH2A, ADAMTS7, TBC1D2B and ZMAT4). Our findings suggest that milking behaviour in dual-purpose Simmental cattle is influenced by genetics, supporting the potential for including behavioural traits in future selection strategies. This study contributes to a better understanding of the genetic mechanisms underlying stress-related behaviours in dual-purpose cattle breeds. Full article

The human genome has a profound impact on human health and disease detection. Carcinoma (cancer) is one of the prominent diseases that majorly affect human health and requires the development of different treatment strategies and targeted therapies based on effective disease detection. Therefore, our research aims to identify biomarkers associated with distinct cancer types (gastric, lung, and breast) using machine learning. In the current study, we have analyzed the human genomic data of gastric cancer, breast cancer, and lung cancer patients using XGB-BIF (i.e., XGBoost-Driven Biomarker Identification Framework for detecting cancer). The proposed framework utilizes feature selection via XGBoost (eXtreme Gradient Boosting), which captures feature interactions efficiently and takes care of the non-linear effects in the genomic data. The research progressed by training XGBoost on the full dataset, ranking the features based on the Gain measure (importance), followed by the classification phase, which employed support vector machines (SVM), logistic regression (LR), and random forest (RF) models for classifying cancer-diseased and non-diseased states. To ensure interpretability and transparency, we also applied SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME), enabling the identification of high-impact biomarkers contributing to risk stratification. Biomarker significance is discussed primarily via pathway enrichment and by studying survival analysis (Kaplan–Meier curves, Cox regression) for identified biomarkers to strengthen translational value. Our models achieved high predictive performance, with an accuracy of more than 90%, to classify and link genomic data into diseased (cancer) and non-diseased states. Furthermore, we evaluated the models using Cohen’s Kappa statistic, which confirmed strong agreement between predicted and actual risk categories, with Kappa scores ranging from 0.80 to 0.99. Our proposed framework also achieved strong predictions on the METABRIC dataset during external validation, attaining an AUC-ROC of 93%, accuracy of 0.79%, and Kappa of 74%. Through extensive experimentation, XGB-BIF identified the top biomarker genes for different cancer datasets (gastric, lung, and breast). CBX2, CLDN1, SDC2, PGF, FOXS1, ADAMTS18, POLR1B, and PYCR3 were identified as important biomarkers to identify diseased and non-diseased states of gastric cancer; CAVIN2, ADAMTS5, SCARA5, CD300LG, and GIPC2 were identified as important biomarkers for breast cancer; and CLDN18, MYBL2, ASPA, AQP4, FOLR1, and SLC39A8 were identified as important biomarkers for lung cancer. XGB-BIF could be utilized for identifying biomarkers of different cancer types using genetic data, which can further help clinicians in developing targeted therapies for cancer patients. Full article