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1.
Genome-wide DNA methylation signatures in blood associated with pediatric obesity
Barbara Slapnik, Robert Šket, Blaž Vrhovšek, Primož Kotnik, Tadej Battelino, Jernej Kovač, 2026, original scientific article

Abstract: Background: Pediatric obesity is the most prevalent nutritional disorder in children and adolescents and is associated with multiple comorbidities. Understanding epigenetic mechanisms, particularly DNA methylation, offers potential for early risk prediction, prevention, and personalized interventions. In this study, genome-wide DNA methylation profiles in blood from children with obesity and matched controls were compared using Oxford Nanopore Technologies. Two independent analytical tools were applied to identify differentially methylated regions. Clinical data included family history, weight, BMI, and age at first examination. Participants with monogenic obesity, identified via short-read whole-exome sequencing, were excluded. Results: The cohort included five girls and five boys with obesity (median age 14.33, IQR 1.65; median BMI SDS 3.42, IQR 0.55) and matched controls (median age 13.94, IQR 0.52; median BMI SDS 0.26, IQR 1.71). Seven consensus differentially methylated regions were consistently identified, overlapping genes involved in metabolism and obesity-related comorbidities. Hypermethylation was observed in PM20D1, PM20D1-AS1, AC119673.2 (26.05% ± 0.78%), and GM2A (33.60% ± 1.10%) in children with obesity, primarily affecting metabolic and adipogenic pathways. Hypomethylation was detected in genes linked to obesity and its comorbidities, including S100A14, S100A16 (- 25.4% ± 0.48%), SNTG2 (- 25.55% ± 0.18%), ADARB2, LINC00200 (- 21.35% ± 0.98%), LRRC32, AP001189.1 (- 27.25%), CBLN3 and KHNYN (- 23.20% ± 0.80%). Conclusions: Long-read genome-wide methylation profiling can detect obesity-associated epigenetic loci in children. Blood-based markers in genes regulating metabolism and obesity comorbidities could support early risk prediction, patient stratification, and targeted prevention. Extending this work to larger and more diverse cohorts will be necessary to evaluate the robustness of these results and their potential translational relevance.
Keywords: DNA methylation, epigenetics, nanopore sequencing, pediatric obesity
Published in DiRROS: 06.08.2026; Views: 58; Downloads: 32
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2.
MSL2 variants lead to a neurodevelopmental syndrome with lack of coordination, epilepsy, specific dysmorphisms, and a distinct episignature
Remzi Karayol, Maria Carla Borroto, Sadegheh Haghshenas, Anoja Namasivayam, Jack Reilly, Michael A. Levy, Raissa Relator, Jennifer Kerkhof, Haley McConkey, Maria Shvedunova, Mihael Rogač, 2024, original scientific article

Abstract: Epigenetic dysregulation has emerged as an important etiological mechanism of neurodevelopmental disorders (NDDs). Pathogenic variation in epigenetic regulators can impair deposition of histone post-translational modifications leading to aberrant spatiotemporal gene expression during neurodevelopment. The male-specific lethal (MSL) complex is a prominent multi-subunit epigenetic regulator of gene expression and is responsible for histone 4 lysine 16 acetylation (H4K16ac). Using exome sequencing, here we identify a cohort of 25 individuals with heterozygous de novo variants in MSL complex member MSL2. MSL2 variants were associated with NDD phenotypes including global developmental delay, intellectual disability, hypotonia, and motor issues such as coordination problems, feeding difficulties, and gait disturbance. Dysmorphisms and behavioral and/or psychiatric conditions, including autism spectrum disorder, and to a lesser extent, seizures, connective tissue disease signs, sleep disturbance, vision problems, and other organ anomalies, were observed in affected individuals. As a molecular biomarker, a sensitive and specific DNA methylation episignature has been established. Induced pluripotent stem cells (iPSCs) derived from three members of our cohort exhibited reduced MSL2 levels. Remarkably, while NDD-associated variants in two other members of the MSL complex (MOF and MSL3) result in reduced H4K16ac, global H4K16ac levels are unchanged in iPSCs with MSL2 variants. Regardless, MSL2 variants altered the expression of MSL2 targets in iPSCs and upon their differentiation to early germ layers. Our study defines an MSL2-related disorder as an NDD with distinguishable clinical features, a specific blood DNA episignature, and a distinct, MSL2-specific molecular etiology compared to other MSL complex-related disorders
Keywords: MSL2, male-specific lethal complex, neurodevelopmental syndrome, epigenetics, autism, epilepsy, connective tissue, episignature, iPSC
Published in DiRROS: 03.06.2026; Views: 230; Downloads: 229
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3.
Microbiome-derived short-chain fatty acids and tryptophan metabolites in children with autism spectrum disorder : a stool–urine multi-omics analysis
Joško Osredkar, Teja Fabjan, Uroš Godnov, Maja Jekovec-Vrhovšek, Damjan Osredkar, Petra Finderle, Kristina Kumer, Maša Zorec, Lijana Fanedl, Gorazd Avguštin, 2026, original scientific article

Abstract: Autism spectrum disorder (ASD) has been associated with alterations in the gut microbiota and its metabolites, particularly short-chain fatty acids (SCFAs) and microbiota-derived tryptophan catabolites, which may influence neurodevelopment through immune and epigenetic mechanisms. We investigated whether stool SCFAs and tryptophan-pathway metabolites differ between children with ASD and typically developing controls, and whether these metabolites associate with ASD severity and systemic biochemical signatures. In this cross-sectional study, we analyzed stool samples from 229 children (160 with ASD, 69 controls) with complete SCFA and tryptophan-metabolite data, while urine metabolomics data were available for a subset and were used for exploratory stool–urine integration analyses. Children with ASD and controls were similar in age, but the ASD group had a higher proportion of males. Absolute concentrations of individual SCFAs, total SCFAs, and derived indices were broadly comparable between groups; nominal differences in propionate/acetate ratio and caproate did not remain significant after false discovery rate correction. Similarly, stool tryptophan-pathway metabolites reported as ng/a.u. based on the NanoDrop-derived proxy (tryptophan, kynurenine, indole-3-acetic, indole-3-lactic, indole-3-propionic, indole-3-aldehyde, N-acetyl-tryptophan, serotonin, melatonin, tryptamine) and functional ratios (kynurenine/tryptophan, indole-derived/tryptophan, serotonin/tryptophan) showed no robust ASD–control differences; N-acetyl-tryptophan was nominally higher in ASD but did not survive multiple-testing correction. In the ASD subgroup with available Childhood Autism Rating Scale (CARS) data (n = 34), SCFA and tryptophan indices showed only weak, non-significant correlations with global ASD severity. In contrast, correlation analyses revealed two coherent metabolic modules, i.e., an SCFA block with very strong internal correlations among individual SCFAs and total SCFAs and a tryptophan block with strong correlations between metabolites and their normalized ratios, while cross-module correlations were modest. These results indicate that stool SCFA and microbiota-derived tryptophan profiles do not robustly distinguish ASD from controls in this cohort, but they form stable metabolic modules compatible with microbiome–epigenome frameworks.
Keywords: autism spectrum disorder, gut microbiota, short-chain fatty acids, tryptophan metabolism, indole metabolites, kynurenine pathway, epigenetics, microbiome–epigenome interaction, metabolomics, pediatrics
Published in DiRROS: 05.05.2026; Views: 313; Downloads: 235
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4.
Influences on and prevention of self-harm behavior among the most at-risk adolescents : study protocol for the SH-MARA prospective longitudinal cohort study
Lana Sernec Podnar, Petra Tomažič, Anja Tomašević Kramer, Barbara Plemeniti Tololeski, Gorjan Tasevski, Žiga Rosenstein, Simona Klemenčič, Tadej Battelino, Blaž Vrhovšek, Tadej Lahovnik, Jernej Kovač, Carla Sharp, Barbara Jenko Bizjan, Sašo Karakatič, Maja Drobnič Radobuljac, 2025, original scientific article

Abstract: Background Both suicidal and non-suicidal self-injuring behaviors (NSSI) are common during adolescence In Slovenia, adolescent suicide rates are high, making suicide the leading cause of death in the year 2022 in this age group. These behaviors are influenced by a complex interplay of environmental, psychological, and genetic factors. Previous research has identified risk and protective factors mainly for suicidal behavior in adults, a notable gap in understanding these factors in adolescents remains, especially for NSSI. Notably there is an important lack of effective clinical tools or psychometric assessment methods to reliably assess the risk for either suicidal or NSSI behaviors in acutely hospitalized adolescents. Methods and analysis The proposed study uses a mixed-method observational design consisting of a prospective longitudinal cohort component involving adolescents hospitalized for high risk of DSH, and a cross-sectional comparison with a control group of healthy adolescents recruited from primary care settings. It is aimed at identifying genetic, psychosocial, and clinical factors associated with suicidal behaviors and NSSI in adolescents. The study group is recruited from adolescents aged 12–19, admitted to the Intensive Child and Adolescent Psychiatry Unit in Ljubljana due to severe self-harm risk. Exclusion criteria include involuntary treatment, acute psychotic disorders, intellectual disability, severe physical or central nervous system illnesses and acute intoxication. The control group comprises adolescents of comparable age, recruited through regular scheduled health check-ups in Slovenia. Exclusion criteria include suicidality, severe mental disorder, a history of self-harm behavior in a first-degree relative, intellectual disability, severe physical or central nervous system illnesses and acute intoxication. Enrollment runs from February 1, 2023, to December 31, 2025. Participation is voluntary, requiring parental or guardian consent for those 14 or younger
Keywords: adolescents, deliberate self-harm, non-suicidal self-injury, suicidal behavior, intensive psychiatry, personality disorder, traumatic experience, genetics, epigenetics
Published in DiRROS: 24.02.2026; Views: 540; Downloads: 260
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5.
Current state of epigenetics in giant cell arteritis : Focus on microRNA dysregulation
Luka Bolha, Alojzija Hočevar, Vesna Jurčić, 2025, review article

Abstract: Giant cell arteritis (GCA) is a primary systemic vasculitis affecting the elderly, characterized by a granulomatous vessel wall inflammation of large- and medium-sized arteries. The immunopathology of GCA is complex, involving both the innate and adaptive arms of the immune system, where a maladaptive inflammatory-driven vascular repair process ultimately results in vessel wall thickening, intramural vascular smooth muscle cell proliferation, neovascularization and vessel lumen occlusion, which can lead to serious ischemic complications such as visual loss and ischemic stroke. Over the past decade, microRNA (miRNA) dysregulation has been highlighted as an important contributing factor underlying the pathogenesis of GCA. Since current understanding of miRNA involvement in GCA remains largely based on extrapolation of previously determined miRNA functions in vitro or in loss- or gain-of-function studies, an overall insight into the role of miRNA alteration in GCA pathophysiology remains limited. In this narrative review, we summarize the current knowledge on aberrantly expressed miRNAs in GCA and thoroughly discuss the impact of their altered regulatory role in the context of GCA setting. Furthermore, we address challenges and future perspectives in utilization of miRNA-based diagnostic and prognostic biomarkers of GCA in clinical settings.
Keywords: giant cell arteritis, epigenetics, microRNA, inflammation, vascular remodeling, biomarker
Published in DiRROS: 01.12.2025; Views: 887; Downloads: 346
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6.
Circulating miRNAs correlate with clinical evaluation of activity in ANCA-associated glomerulonephritis
Matic Bošnjak, Željka Večerić-Haler, Živa Pipan Tkalec, Emanuela Boštjančič, Nika Kojc, 2025, original scientific article

Abstract: Introduction: Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis is an autoimmune necrotizing small vessel vasculitis, frequently resulting in severe renal manifestations such as rapidly progressive glomerulonephritis (AAV-GN). Monitoring disease activity and determining ongoing renal involvement remain significant clinical challenges due to the limitations associated with traditional biomarkers. This study focused on the potential of circulating microRNA (miRNA) as supplementary noninvasive biomarkers for disease activity in AAV-GN. Methods: This prospective follow-up study involved serum samples from 60 patients with biopsy-proven AAV-GN, collected at renal biopsy and at 3-, 6-, 12-, and 24-month intervals post-biopsy. Nine miRNAs (miR-21-3p, miR-30b/d/e-5p, miR-142-5p, miR-150-5p, miR-181a-5p, miR-181b-5p, and let-7a-5p) were selected based on the differential expressions in renal tissue and corresponding serum samples identified in the previous research phases. Expression analysis was performed using quantitative real-time polymerase chain reaction and correlated with disease activity based on the Birmingham Vasculitis Activity Score and other clinical parameters. Results: A significant correlation was identified between disease activity and the expression levels of the miR-30 family members and let-7a. Specifically, these miRNAs demonstrated consistent correlation patterns across follow-up samples independent of the time elapsed post-biopsy, with down-regulation correlating with the presence of active disease. Notably, the miRNA expression profile in partial remission appeared analogous to that of complete remission, suggesting that many patients categorized as having partial remission may, in fact, be considered in true clinical remission. Conclusion: This study supports serum miRNA profiling as an adjunct noninvasive biomarker for assessing disease activity in AAV-GN. Such an approach could provide complementary information alongside traditional biomarkers and refine the future management of AAV-GN. However, it is important to acknowledge that our actual study cohort was small due to challenging technical aspects of miRNA expression analysis in the serum. Therefore, further research with larger cohorts is required to validate these results and assess their clinical applicability.
Keywords: ANCA, vasculitis, glomerulonephritis, microRNA, biomarker, BVAS, epigenetics, follow-up
Published in DiRROS: 26.11.2025; Views: 551; Downloads: 344
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7.
Circulating miRNAs as potential non-invasive biomarkers for ANCA-associated glomerulonephritis
Matic Bošnjak, Željka Večerić-Haler, Živa Pipan Tkalec, Jakob Tomšič, Emanuela Boštjančič, Nika Kojc, 2025, original scientific article

Abstract: Introduction: Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is characterized by necrotizing small vessel vasculitis that frequently manifests as glomerulonephritis (AAV-GN). An accurate noninvasive biomarker reflecting active AAV-GN remains elusive. The knowledge of microRNAs (miRNAs), which have been considered as disease-specific biomarkers, is scarce and lacks validated data in AAV. Methods: This study validated a renal tissue expression profile of candidate miRNAs specific to AAV-GN selected through prior screening using independent cohorts. The analysis was extended to serum samples to explore the potential of a circulating miRNA panel as a noninvasive biomarker for active AAV-GN. To substantiate the findings, we correlated the molecular data with clinical and histologic markers of AAV-GN activity. Results: We identified miR-21-3p, miR-181a-5p, and miR-181d-5p as potential biomarkers distinguishing AAV-GN from non-AAV renal diseases and healthy controls. In addition, miR-21-3p and miR-181d-5p correlated with the presence of active AAV-GN, while miR-181a-5p differentiated AAV-GN subtypes based on ANCA antigen specificity. ROC curve analysis demonstrated that the combined serum expression of miR-21-3p and miR-181a-5p reliably distinguished AAV-GN from other renal pathologies, including ANCA-positive cases without histologic evidence of AAV-GN. Conclusion: Our findings highlight the potential of circulating miRNA expression signature as a noninvasive biomarker for ongoing AAV-GN in the appropriate setting. Larger confirmatory studies are essential to support the clinical application of miRNA-based biomarkers in AAV-GN diagnostics and disease monitoring.
Keywords: ANCA, biomarker, glomerulonephritis, microRNA, vasculitis, epigenetics
Published in DiRROS: 26.11.2025; Views: 462; Downloads: 315
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8.
Haplotype-resolved genome assembly of the tetraploid potato cultivar Désirée
Tim Godec, Sebastian Beier, Natalia Yaneth Rodriguez-Granados, Rashmi Sasidharan, Lamis Abdelhakim, Markus Teige, Björn Usadel, Kristina Gruden, Marko Petek, 2025, original scientific article

Abstract: Cultivar Désirée is an important model for potato functional genomics studies to assist breeding strategies. Here, we present a haplotype-resolved genome assembly of Désirée, achieved by assembling PacBio HiFi reads and Hi-C scaffolding, resulting in a high-contiguity chromosome-level assembly. We implemented a comprehensive annotation pipeline incorporating gene models and functional annotations from the Solanum tuberosum Phureja DM reference genome alongside RNA-seq reads to provide high-quality gene and transcript annotations. Additionally, we provide a genome-wide DNA methylation profile using Oxford Nanopore reads, enabling insights into potato epigenetics. The assembled genome, annotations, methylation and expression data are visualised in a publicly accessible genome browser, providing a valuable resource for the potato research community.
Keywords: cultivar Désirée, potato, functional genomics, genome assembly, annotation pipeline, DNA methylation, epigenetics
Published in DiRROS: 28.01.2025; Views: 1599; Downloads: 895
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9.
A simple in silico approach to generate gene-expression profiles from subsets of cancer genomics data
Mohammed Khurshed, Remco J. Molenaar, Cornelis J. F. van Noorden, 2019, original scientific article

Abstract: In biomedical research, large-scale profiling of gene expression has become routine and offers a valuable means to evaluate changes in onset and progression of diseases, in particular cancer. An overwhelming amount of cancer genomics data has become publicly available, and the complexity of these data makes it a challenge to perform in silico data exploration, integration and analysis, in particular for scientists lacking a background in computational programming or informatics. Many web interface tools make these large datasets accessible but are limited to process large datasets. To accelerate the translation of genomic data into new insights, we provide a simple method to explore and select data from cancer genomic datasets to generate gene-expression profiles of subsets that are of specific genetic, biological or clinical interest.
Keywords: cancer genomics, cBioPortal, data mining, epigenetics, gene expression, in silico
Published in DiRROS: 24.07.2024; Views: 1454; Downloads: 1311
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10.
Expression of LOC285758, a potential long non-coding biomarker, is methylation- dependent and correlates with glioma malignancy grade
Alenka Matjašič, Mara Popović, Boštjan Matos, Damjan Glavač, 2017, original scientific article

Abstract: Background. Identifying the early genetic drivers can help diagnose glioma tumours in their early stages, before becoming malignant. However, there is emerging evidence that disturbance of epigenetic mechanisms also con- tributes to cell's malignant transformation and cancer progression. Long non-coding RNAs are one of key epigenetic modulators of signalling pathways, since gene expression regulation is one of their canonical mechanisms. The aim of our study was to search new gliomagenesis-specific candidate lncRNAs involved in epigenetic regulation. Patients and methods. We used a microarray approach to detect expression profiles of epigenetically involved lncRNAs on a set of 12 glioma samples, and selected LOC285758 for further qPCR expression validation on 157 glioma samples of different subtypes. To establish if change in expression is a consequence of epigenetic alterations we determined methylation status of lncRNA's promoter using MS-HRM. Additionally, we used the MLPA analysis for de- termining the status of known glioma biomarkers and used them for association analyses. Results. In all glioma subtypes levels of LOC285758 were significantly higher in comparison to normal brain reference RNA, and expression was inversely associated with promoter methylation. Expression substantially differs between astrocytoma and oligodendroglioma, and is elevated in higher WHO grades, which also showed loss of methylation. Conclusions. Our study revealed that lncRNA LOC285758 changed expression in glioma is methylation-dependent and methylation correlates with WHO malignancy grade. Methylation is also distinctive between astrocytoma I-III and other glioma subtypes and may thus serve as an additional biomarker in glioma diagnosis.
Keywords: glioma, epigenetics, methylation
Published in DiRROS: 03.06.2024; Views: 1395; Downloads: 951
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