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Search Results (688)

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20 pages, 331 KiB  
Article
The Role of Health, Religiosity, and Motivational Needs in Predicting Psychological Well-Being Among University of the Third Age Students
by Ewa Gurba, Grzegorz Wąchol and Krzysztof Gurba
Religions 2025, 16(8), 978; https://doi.org/10.3390/rel16080978 - 28 Jul 2025
Abstract
Modern Western societies are “aging” at a very high rate, and more and more people require assistance and care. Old age has different faces, which is due to genetic conditions, as well as the different contexts and lifestyles of people. To ensure good [...] Read more.
Modern Western societies are “aging” at a very high rate, and more and more people require assistance and care. Old age has different faces, which is due to genetic conditions, as well as the different contexts and lifestyles of people. To ensure good adaptation of seniors, it is important to determine the conditions for “successful aging”. Therefore, the purpose of the conducted study was to determine the importance of selected predictors, including the level of religiosity, assessment of health, and the intensity of motivational needs of seniors—students of the University of the Third Age—for the level of their well-being. A total of 115 people were surveyed, including 93 women and 21 men who were students in the first year of the Third Age University at the Pontifical University of John Paul II in Krakow. The surveyed seniors represented an autonomous type of religiosity, a high level of realization of the needs of self-determination, namely autonomy and competence, declared an average assessment of the state of their health, and revealed an increased level of eudaimonic well-being. Predictors of the level of well-being of the surveyed seniors turned out to be the variables religious experience, need for autonomy and competence, and health status, as assessed by the seniors. Full article
(This article belongs to the Section Religions and Health/Psychology/Social Sciences)
24 pages, 1681 KiB  
Review
Molecular Insight into the Role of HLA Genotypes in Immunogenicity and Secondary Refractoriness to Anti-TNF Therapy in IBD Patients
by Mladen Maksic, Irfan Corovic, Tijana Maksic, Jelena Zivic, Milos Zivic, Natasa Zdravkovic, Aleksa Begovic, Marija Medovic, Djordje Kralj, Zeljko Todorovic, Milica Cekerevac, Rasa Medovic and Milos Nikolic
Int. J. Mol. Sci. 2025, 26(15), 7274; https://doi.org/10.3390/ijms26157274 - 28 Jul 2025
Abstract
The emergence of anti-TNF agents has revolutionized the management of inflammatory bowel disease, yet a significant proportion of patients experience primary non-response or secondary loss of response due to immunogenicity. As the field of precision medicine advances, genetic predictors such as human leukocyte [...] Read more.
The emergence of anti-TNF agents has revolutionized the management of inflammatory bowel disease, yet a significant proportion of patients experience primary non-response or secondary loss of response due to immunogenicity. As the field of precision medicine advances, genetic predictors such as human leukocyte antigen (HLA) variants are gaining increasing attention. This review provides a comprehensive synthesis of current evidence on the role of HLA genotypes in inflammatory bowel disease susceptibility and disease behavior, with a focus on their mechanistic and clinical relevance in anti-TNF therapy. Special emphasis is placed on HLA-DQA1*05, a validated predictor of anti-drug antibody formation and reduced therapeutic durability. We explore the immunological basis of HLA-mediated immunogenicity, summarize pharmacogenetic and biomarker findings, and discuss how HLA typing may be integrated into treatment algorithms to improve patient stratification and long-term outcomes. As immunogenetics continues to inform clinical decision-making, understanding the interplay between HLA polymorphisms and therapeutic response offers new opportunities for biomarker-guided, personalized care in inflammatory bowel disease. Full article
(This article belongs to the Section Molecular Pharmacology)
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18 pages, 1956 KiB  
Article
Panel-Based Genetic Testing in a Consecutive Series of Individuals with Inherited Retinal Diseases in Australia: Identifying Predictors of a Diagnosis
by Alexis Ceecee Britten-Jones, Doron G. Hickey, Thomas L. Edwards and Lauren N. Ayton
Genes 2025, 16(8), 888; https://doi.org/10.3390/genes16080888 - 27 Jul 2025
Abstract
Background/Objectives: Genetic testing is important for diagnosing inherited retinal diseases (IRDs), but further evidence is needed on the utility of singleton genetic testing in an Australian cohort. Methods: A consecutive series of individuals with clinically diagnosed IRDs without prior genetic testing [...] Read more.
Background/Objectives: Genetic testing is important for diagnosing inherited retinal diseases (IRDs), but further evidence is needed on the utility of singleton genetic testing in an Australian cohort. Methods: A consecutive series of individuals with clinically diagnosed IRDs without prior genetic testing underwent commercial panel-based sequencing (Invitae or Blueprint Genetics), clinical assessment, and multimodal imaging. Retinal images were graded using the Human Phenotype Ontology terms. Binary logistic regression was used to evaluate clinical predictors of a positive molecular diagnosis. Results: Among 140 participants (mean age 49 ± 19 years), genetic testing was undertaken, on average, 23 ± 17 years after the initial clinical IRD diagnosis. Of the 60% who received a probable molecular diagnosis, 40% require further phase testing, highlighting the limitations of singleton genetic testing. USH2A, ABCA4, and RPGR were the most common encountered genes; 67% of the probably solved participants had causative genes with targeted experimental treatments in ongoing human clinical trials. Symptom onset before the age of 30 (OR = 3.06 [95% CI: 1.34–7.18]) and a positive IRD family history (OR = 2.87 [95% CI: 1.27–6.78]) were each associated with higher odds of receiving a molecular diagnosis. Diagnostic rates were comparable across retinal imaging phenotypes (atrophy and autofluorescence patterns in widespread IRD, and the extent of dystrophy in macular IRDs). Conclusions: In an Australian IRD population without prior genetic testing, commercial panels yielded higher diagnostic rates in individuals with IRD onset before the age of 30 and those with an IRD family history. Further research is needed to understand the genetic basis of IRDs, especially isolated and late-onset cases, to improve diagnosis and access to emerging therapies. Full article
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11 pages, 1442 KiB  
Article
The Prognostic Value of Amplification of the MYCC and MYCN Oncogenes in Russian Patients with Medulloblastoma
by Alexander Chernov, Ekaterina Batotsyrenova, Sergey Zheregelya, Sarng Pyurveev, Vadim Kashuro, Dmitry Ivanov and Elvira Galimova
Diseases 2025, 13(8), 238; https://doi.org/10.3390/diseases13080238 - 27 Jul 2025
Abstract
Background. Medulloblastoma (MB) prognosis and response to therapy depend largely on genetic changes in tumor cells. Many genes and chromosomal abnormalities have been identified as prognostic factors, including amplification of MYC oncogenes, gains in 1q and 17q, deletions in 10q and 21p, or [...] Read more.
Background. Medulloblastoma (MB) prognosis and response to therapy depend largely on genetic changes in tumor cells. Many genes and chromosomal abnormalities have been identified as prognostic factors, including amplification of MYC oncogenes, gains in 1q and 17q, deletions in 10q and 21p, or isochromosomes 17 (i(17)(q10)). The frequency of these abnormalities varies greatly between ethnic populations, but the frequency of specific abnormalities, such as MYCC and MYCN amplification, 17q gain, and deletions, in the Russian population is unknown. Objective: The aim is to study the frequency of MYCC and MYCN amplifications, 17q gain, and 17p deletion and determine their prognostic value in Russian patients with MB. Methods. This study was performed on MB cells obtained from 18 patients (12 boys and 6 girls, aged between 3 months and 17 years, with a median age of 6.5 years). Determination of cytogenetic aberrations was carried out using FISH assays with MYCC-SO, MYCN-SO, and MYCN-SG/cen2 probes, as well as cen7/p53 dual color probes and PML/RARα dual color probes (Abbott Molecular, USA). One-way ANOVA and Fisher’s F-test were used to compare the two groups. The differences were considered significant when p < 0.05. Results. In 77.7% of patients (14/18), the classical type of MB was present; in 16.7% (3/18), desmoplastic type; and in 5.6% (1/18), nodular desmoplasic types of neoplasms. Amplification of MYC genes was detected in 22.2% of Russian patients (n = 4 out of 18). Patients with MYC amplification had the worst overall survival (OS: 0% vs. 68%, p = 0.0004). Changes on the 17th chromosome were found in 58.3% of patients. Deletion of 17p occurred in 23.1%, and gain of 17q occurred in 46.2%. There were no significant differences in OS, clinical signs, or the presence of additional 17q material or 17p deletion among patients with MB. Conclusions: Amplification of the MYC gene is a predictor of poor overall survival to therapy and a high risk of metastatic relapse. This allows us to more accurately stratify patients into risk groups in order to determine the intensity and duration of therapy. Full article
(This article belongs to the Section Oncology)
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26 pages, 2219 KiB  
Article
Predicting Cognitive Decline in Parkinson’s Disease Using Artificial Neural Networks: An Explainable AI Approach
by Laura Colautti, Monica Casella, Matteo Robba, Davide Marocco, Michela Ponticorvo, Paola Iannello, Alessandro Antonietti, Camillo Marra and for the CPP Integrated Parkinson’s Database
Brain Sci. 2025, 15(8), 782; https://doi.org/10.3390/brainsci15080782 - 23 Jul 2025
Viewed by 258
Abstract
Background/Objectives: The study aims to identify key cognitive and non-cognitive variables (e.g., clinical, neuroimaging, and genetic data) predicting cognitive decline in Parkinson’s disease (PD) patients using machine learning applied to a sample (N = 618) from the Parkinson’s Progression Markers Initiative database. [...] Read more.
Background/Objectives: The study aims to identify key cognitive and non-cognitive variables (e.g., clinical, neuroimaging, and genetic data) predicting cognitive decline in Parkinson’s disease (PD) patients using machine learning applied to a sample (N = 618) from the Parkinson’s Progression Markers Initiative database. Traditional research has mainly employed explanatory approaches to explore variable relationships, rather than maximizing predictive accuracy for future cognitive decline. In the present study, we implemented a predictive framework that integrates a broad range of baseline cognitive, clinical, genetic, and imaging data to accurately forecast changes in cognitive functioning in PD patients. Methods: An artificial neural network was trained on baseline data to predict general cognitive status three years later. Model performance was evaluated using 5-fold stratified cross-validation. We investigated model interpretability using explainable artificial intelligence techniques, including Shapley Additive Explanations (SHAP) values, Group-Wise Feature Masking, and Brute-Force Combinatorial Masking, to identify the most influential predictors of cognitive decline. Results: The model achieved a recall of 0.91 for identifying patients who developed cognitive decline, with an overall classification accuracy of 0.79. All applied explainability techniques consistently highlighted baseline MoCA scores, memory performance, the motor examination score (MDS-UPDRS Part III), and anxiety as the most predictive features. Conclusions: From a clinical perspective, the findings can support the early detection of PD patients who are more prone to developing cognitive decline, thereby helping to prevent cognitive impairments by designing specific treatments. This can improve the quality of life for patients and caregivers, supporting patient autonomy. Full article
(This article belongs to the Section Neurodegenerative Diseases)
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17 pages, 1361 KiB  
Review
Molecular Foundations of Neuroplasticity in Brain Tumours: From Microscopic Adaptation to Functional Reorganisation
by Lizeth Vinueza, Salvador Pineda and Jose E. Leon-Rojas
Int. J. Mol. Sci. 2025, 26(15), 7049; https://doi.org/10.3390/ijms26157049 - 22 Jul 2025
Viewed by 179
Abstract
Brain tumours challenge the structural and functional integrity of the brain, yet remarkable neuroplastic adaptations often preserve critical functions. This review synthesises the current knowledge of the molecular events underlying neuroplasticity in the context of tumoural growth, spanning from early genetic and protein [...] Read more.
Brain tumours challenge the structural and functional integrity of the brain, yet remarkable neuroplastic adaptations often preserve critical functions. This review synthesises the current knowledge of the molecular events underlying neuroplasticity in the context of tumoural growth, spanning from early genetic and protein alterations to macroscopic functional reorganisation. We discuss the roles of stress-regulated molecules, synaptic proteins, trophic factors, and morphological changes in driving adaptive responses. Furthermore, we bridge the gap between microscopic molecular events and large-scale network adaptations, emphasising clinical implications for glioma surgery and patient outcomes. Despite advances, knowledge gaps persist regarding the dynamics, predictors, and therapeutic modulation of plasticity, underscoring the need for future longitudinal and translational research. Understanding and leveraging these molecular mechanisms holds promise for improving functional recovery and quality of life in patients with brain tumours. Full article
(This article belongs to the Special Issue Brain Plasticity in Health and Disease)
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16 pages, 417 KiB  
Review
Potential Biological and Genetic Links Between Dementia and Osteoporosis: A Scoping Review
by Abayomi N. Ogunwale, Paul E. Schulz, Jude K. des Bordes, Florent Elefteriou and Nahid J. Rianon
Geriatrics 2025, 10(4), 96; https://doi.org/10.3390/geriatrics10040096 - 20 Jul 2025
Viewed by 203
Abstract
Background: The biological mediators for the epidemiologic overlap between osteoporosis and dementia are unclear. We undertook a scoping review of clinical studies to identify genetic and biological factors linked with these degenerative conditions, exploring the mechanisms and pathways connecting both conditions. Methods: Studies [...] Read more.
Background: The biological mediators for the epidemiologic overlap between osteoporosis and dementia are unclear. We undertook a scoping review of clinical studies to identify genetic and biological factors linked with these degenerative conditions, exploring the mechanisms and pathways connecting both conditions. Methods: Studies selected (1) involved clinical research investigating genetic factors or biomarkers associated with dementia or osteoporosis, and (2) were published in English in a peer-reviewed journal between July 1993 and March 2025. We searched Medline Ovid, Embase, PsycINFO, the Cochrane Library, the Web of Science databases, Google Scholar, and the reference lists of studies following the guidelines for Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR). Results: Twenty-three studies were included in this review. These explored the role of the APOE polymorphism (n = 2) and the APOE4 allele (n = 13), associations between TREM2 mutation and late onset AD (n = 1), and associations between amyloid beta and bone remodeling (n = 1); bone-related biomarkers like DKK1, OPG, and TRAIL as predictors of cognitive change (n = 2); extracellular vesicles as bone–brain communication pathways (1); and the role of dementia-related genes (n = 1), AD-related CSF biomarkers (n = 1), and parathyroid hormone (PTH) (n = 1) in osteoporosis–dementia pathophysiology. Conclusions: Bone-related biomarkers active in the Wnt/β-Catenin pathway (Dkk1 and sclerostin) and the RANKL/RANK/OPG pathway (OPG/TRAIL ratio) present consistent evidence of involvement in AD and osteoporosis development. Reports proposing APOE4 as a causal genetic link for both osteoporosis and AD in women are not corroborated by newer observational studies. The role of Aβ toxicity in osteoporosis development is unverified in a large clinical study. Full article
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25 pages, 912 KiB  
Article
Association of SLCO1B3 and SLCO1B1 Polymorphisms with Methotrexate Efficacy and Toxicity in Saudi Rheumatoid Arthritis Patients
by Rania Magadmi, Ahlam M. Alharthi, Lina A. Alqurashi, Ibtisam M. Jali, Zeina W. Sharawi, Maha H. Jamal, Yasser Bawazir, Mohammad Mustafa, Sami M. Bahlas, Basma T. Jamal, Hassan Daghasi, Abdulrahman S. Altowairqi and Dalal Sameer Al Shaer
Pharmaceuticals 2025, 18(7), 1069; https://doi.org/10.3390/ph18071069 - 20 Jul 2025
Viewed by 272
Abstract
Background: Methotrexate (MTX) remains the most commonly prescribed drug used to treat rheumatoid arthritis (RA). Polymorphisms in solute carrier organic anion transporter family member 1B3 (SLCO1B3) and SLCO1B1 may play a critical role in MTX pharmacokinetics and patient outcomes. However, research [...] Read more.
Background: Methotrexate (MTX) remains the most commonly prescribed drug used to treat rheumatoid arthritis (RA). Polymorphisms in solute carrier organic anion transporter family member 1B3 (SLCO1B3) and SLCO1B1 may play a critical role in MTX pharmacokinetics and patient outcomes. However, research on these polymorphisms in Saudi Arabia remains limited. We evaluated the association of SLCO1B3 (rs4149117, rs7311358) and SLCO1B1 (rs2306283, rs4149056) polymorphisms with MTX efficacy and safety in Saudi patients with RA. Methods: This multicenter, case-control study included patients diagnosed with RA in Jeddah and Taif. Demographic and clinical data were collected and analyzed. Genotyping of SLCO1B3 (rs4149117, rs7311358) and SLCO1B1 (rs2306283, rs4149056) polymorphisms was performed using Sanger sequencing. Statistical analyses, including logistic regression and haplotype analysis, were conducted to evaluate associations between these polymorphisms, MTX efficacy, and toxicity. Results: The study cohort comprised 100 patients with RA, with 46 showing a good response to MTX and 54 showing a poor response. Clinical predictors of MTX response were significantly higher in patients with poor response. Both SLCO1B3 polymorphisms (rs4149117, rs7311358) were significantly associated with anemia. Significant associations were found between SLCO1B1 (rs2306283) and gastrointestinal disturbances and anemia. The GAAT haplotype was significantly more prevalent among good responders, while the TGGT haplotype was significantly associated with poor responders. Conclusions: These results highlight the importance of genetic testing in predicting MTX treatment outcomes and tailoring personalized treatment plans for patients with RA to improve efficacy and minimize adverse effects. Full article
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21 pages, 1425 KiB  
Review
Epigenetics and Gut Microbiota in the Pathogenesis and Treatment of Bipolar Disorder (BD)
by Shabnam Nohesara, Hamid Mostafavi Abdolmaleky, Ahmad Pirani and Sam Thiagalingam
Cells 2025, 14(14), 1104; https://doi.org/10.3390/cells14141104 - 18 Jul 2025
Viewed by 431
Abstract
Bipolar disorder (BD) is a multifactorial mental disease with a prevalence of 1–5% in adults, caused by complex interactions between genetic and environmental factors. Environmental factors contribute to gene expression alterations through epigenetic mechanisms without changing the underlying DNA sequences. Interactions between the [...] Read more.
Bipolar disorder (BD) is a multifactorial mental disease with a prevalence of 1–5% in adults, caused by complex interactions between genetic and environmental factors. Environmental factors contribute to gene expression alterations through epigenetic mechanisms without changing the underlying DNA sequences. Interactions between the gut microbiota (GM) and diverse external factors, such as nutritional composition, may induce epigenetic alterations and increase susceptibility to BD. While epigenetic mechanisms are involved in both the pathogenesis of BD and drug treatment responses, epigenetic marks could be employed as predictors and indicators of drug response. This review highlights recent studies on the potential role of epigenetic aberrations in the development and progression of BD. Next, we focus on drug response-related alterations in the epigenetic landscape, including DNA methylation, histone modifications, and non-coding RNAs. Afterward, we delve into the potential roles of GM-induced epigenetic changes in the pathogenesis of BD and GM-based therapeutic strategies aimed at improving BD outcomes through epigenetic modifications. We also discuss how BD drugs may exert beneficial effects through modulation of the GM and the epigenome. Finally, we consider future research strategies that could address existing challenges. Full article
(This article belongs to the Special Issue Biological Mechanisms in the Treatment of Neuropsychiatric Diseases)
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14 pages, 240 KiB  
Article
Biopsychosocial Determinants and Comorbid Risks of Obesity Among University Students: A Cross-Sectional Study
by Osama Albasheer, Mohamed Salih Mahfouz, Turki I. Aljezani, Mohammed Hassan Ghasham, Idris Harun Samily, Majid Muhammad Hakami, Naif Muslih Alshamrani, Shaima Abdu Hantul, Haneen A. Almutairi, Amal H. Mohamed, Nagla Abdalghani, Lamyaa A. M. El Hassan, Gassem Gohal, Ali Ali Ahmad Al-Makramani and Abdelkhalig Elhilu
Healthcare 2025, 13(14), 1736; https://doi.org/10.3390/healthcare13141736 - 18 Jul 2025
Viewed by 275
Abstract
Background/Objectives: Obesity among university students is a growing concern, often influenced by biological, psychological, and social factors. Few studies in Saudi Arabia have addressed this issue using a comprehensive framework. This study aims to examine the prevalence of obesity and its biopsychosocial predictors [...] Read more.
Background/Objectives: Obesity among university students is a growing concern, often influenced by biological, psychological, and social factors. Few studies in Saudi Arabia have addressed this issue using a comprehensive framework. This study aims to examine the prevalence of obesity and its biopsychosocial predictors among university students, as well as their perceptions, behaviors, and comorbidities. Methods: A cross-sectional study was conducted at Jazan University during the 2024–2025 academic year. A total of 819 undergraduate students completed a structured, self-administered Arabic questionnaire. The tool assessed sociodemographic variables, body mass index (BMI) (calculated from self-reported height and weight), biological and psychological factors, social influences, lifestyle behaviors, and comorbidities. Bivariate associations were tested using chi-square analyses, and multivariate logistic regression was used to identify independent predictors of obesity. Results: The prevalence of obesity was 19.6%, and 22.6% of students were overweight. Obesity was significantly more prevalent among males (26.7%) than females (9.6%, p < 0.001) and among students aged 24 years and above (24.0%, p = 0.024). Independent predictors of obesity included being overweight in childhood (AOR = 5.23, 95% CI: 3.47–7.90), belief in a genetic predisposition (AOR = 4.66), emotional eating (AOR = 2.57), academic or personal stress (AOR = 5.36), and social pressures related to body image (AOR = 2.96). Comorbidities significantly associated with obesity included high cholesterol (AOR = 5.40), sleep disorders (AOR = 2.99), and joint pain (AOR = 1.96). More than 80% of students with obesity reported current or past weight loss attempts, and nearly 60% received medical advice to lose weight. Conclusions: Obesity among Jazan University students is significantly associated with male gender, early-life weight history, emotional and academic stress, and social pressures. Students with obesity also experience a higher burden of comorbid conditions, even at a young age. These findings highlight the need for integrated, student-centered interventions that address both the psychological and social dimensions of weight management in university settings. Full article
12 pages, 510 KiB  
Article
Application of Machine Learning Models in Predicting Non-Alcoholic Fatty Liver Disease Among Inactive Chronic Hepatitis B Patients: A Cross-Sectional Analysis
by Abdullah M. Al-Alawi, Amna S. Al-Balushi, Halima H. Al-Shuaili, Dalia A. Mahmood and Said A. Al-Busafi
J. Clin. Med. 2025, 14(14), 5042; https://doi.org/10.3390/jcm14145042 - 16 Jul 2025
Viewed by 296
Abstract
Background/Objectives: Non-alcoholic fatty liver disease (NAFLD) represents significant health challenges, especially among patients with chronic hepatitis B (CHB). This study uses machine learning models to predict NAFLD in patients with inactive CHB. It builds on previous research by employing classification algorithms to [...] Read more.
Background/Objectives: Non-alcoholic fatty liver disease (NAFLD) represents significant health challenges, especially among patients with chronic hepatitis B (CHB). This study uses machine learning models to predict NAFLD in patients with inactive CHB. It builds on previous research by employing classification algorithms to analyze demographic, clinical, and laboratory data to identify NAFLD predictors. Methods: A single-center cross-sectional study was conducted, including 450 inactive CHB patients from Sultan Qaboos University Hospital. Five ML models were developed: Logistic Regression, Random Forest, Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP). Results: The prevalence of NAFLD was 50.22%. Among the machine learning models, Random Forest achieved the highest performance with an ROC AUC of 0.983 (95% CI: 0.952–0.999), followed by XGBoost at 0.977 (95% CI: 0.938–0.999) and MLP at 0.963 (95% CI: 0.915–0.995). SVM also showed strong performance with an AUC of 0.949 (95% CI: 0.897–0.985), while Logistic Regression demonstrated comparatively lower discrimination with an AUC of 0.886 (95% CI: 0.799–0.952). Key predictive features identified included platelet count, low-density lipoprotein (LDL), hemoglobin, and alanine aminotransferase (ALT). Logistic Regression highlighted platelet count as the most significant negative predictor, while LDL and ALT were positive contributors. Conclusions: This study shows the utility of ML in improving the identification and management of NAFLD in CHB patients, enabling targeted interventions. Future research should expand on these findings, integrating genetic and lifestyle factors to enhance predictive accuracy across diverse populations. Full article
(This article belongs to the Section Gastroenterology & Hepatopancreatobiliary Medicine)
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20 pages, 2523 KiB  
Article
The Association of VDR, CYP2R1, and GC Gene Polymorphisms, Dietary Intake, and BMI in Regulating Vitamin D Status
by Carmina Mariana Stroia, Annamaria Pallag, Maria Vrânceanu, David de Lorenzo, Keith Anthony Grimaldi, Csaba Robert Pallag, Kinga Vindis, Diana Bei, Cristina Burlou-Nagy (Fati) and Timea Claudia Ghitea
Diseases 2025, 13(7), 219; https://doi.org/10.3390/diseases13070219 - 14 Jul 2025
Viewed by 680
Abstract
Vitamin D plays a crucial role in bone health and immune function, with serum 25(OH)D levels influenced by genetic, dietary, and metabolic factors. Background/Objectives: This study investigated the impact of VDR rs731236, CYP2R1 rs10741657, and GC rs2282679 polymorphisms, body mass index (BMI), and [...] Read more.
Vitamin D plays a crucial role in bone health and immune function, with serum 25(OH)D levels influenced by genetic, dietary, and metabolic factors. Background/Objectives: This study investigated the impact of VDR rs731236, CYP2R1 rs10741657, and GC rs2282679 polymorphisms, body mass index (BMI), and dietary vitamin D intake on vitamin D status. Methods: A total of 230 adults were classified into four BMI categories: normal weight (NW), overweight (OW), obesity class I (OB), and obesity class II/III (OP). Participants completed a Food Frequency Questionnaire (FFQ) and a 7-day Food Frequency Diary (FFD). Genotyping was performed using TaqMan assays, and serum 25(OH)D was quantified via spectrophotometry. Statistical analyses included ANOVA and multiple linear regression. Results: The VDR rs731236 CC genotype, CYP2R1 rs10741657 AG/GG, and GC rs2282679 AC/CC were associated with lower serum vitamin D levels. A higher BMI was significantly correlated with reduced serum 25(OH)D (p < 0.001), with BMI emerging as the strongest predictor of vitamin D status. FFQ-based dietary intake showed a modest positive correlation with 25(OH)D (r = 0.47, p < 0.001). Conclusions: BMI and genetic variants in VDR, CYP2R1, and GC significantly influence vitamin D metabolism. Personalized interventions addressing genetic predispositions and weight management may improve vitamin D status. Full article
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16 pages, 269 KiB  
Article
Genetic Susceptibility in Sinusoidal Obstruction Syndrome/Veno-Occlusive Disease: A Case–Control Study
by Ioulia Mavrikou, Marta Castelli, Tasoula Touloumenidou, Zoi Bousiou, Evangelia-Evdoxia Koravou, Anna Vardi, Apostolia Papalexandri, Christos Demosthenous, Maria Koutra, Paschalis Evangelidis, Alkistis-Kyra Panteliadou, Ioannis Batsis, Dimitrios Chatzidimitriou, Emmanouil Nikolousis, Alessandro Rambaldi, Ioanna Sakellari and Eleni Gavriilaki
Int. J. Mol. Sci. 2025, 26(14), 6712; https://doi.org/10.3390/ijms26146712 - 12 Jul 2025
Viewed by 294
Abstract
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 [...] Read more.
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
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
12 pages, 4125 KiB  
Article
New Perspectives of Underlying Cardiomyopathy in Pediatric SMA Patients—An Age Matched Control Study
by Georgiana Nicolae, Andrei Capitanescu, Madalina Cristina Leanca, Elena Neagu, Daniela Vasile, Cristina Filip, Eliza Cinteza, Amelia Aria, Bianka Maria Pavlov, Gabriela Uscoiu, Cristiana Ioana Raita and Andrada Mirea
Life 2025, 15(7), 1091; https://doi.org/10.3390/life15071091 - 11 Jul 2025
Viewed by 336
Abstract
Spinal muscular atrophy (SMA) is a genetic neuromuscular disorder primarily affecting motor neurons. Emerging evidence suggests it also involves multiple organs, including potential cardiac manifestations. This study aimed to evaluate cardiac abnormalities in pediatric SMA patients compared to age-matched healthy controls, providing insight [...] Read more.
Spinal muscular atrophy (SMA) is a genetic neuromuscular disorder primarily affecting motor neurons. Emerging evidence suggests it also involves multiple organs, including potential cardiac manifestations. This study aimed to evaluate cardiac abnormalities in pediatric SMA patients compared to age-matched healthy controls, providing insight into underlying cardiomyopathy in this population. A total of 126 children were included in the study, with 63 SMA patients and 63 age-matched controls. We conducted clinical examinations, standard electrocardiography (ECG), and cardiac ultrasound (CUS) in all patients. Electrocardiographic analysis revealed a higher prevalence of sinus tachycardia in the SMA group and significantly deeper Q waves, indicating possible myocardial involvement. Echocardiographic findings demonstrated a significant reduction in left ventricular mass and left ventricular mass index in SMA patients compared to controls, despite normal systolic function. Statistical analysis confirmed that SMA diagnosis was an independent predictor of reduced myocardial mass, suggesting a distinct cardiac phenotype in SMA patients. This study provides new evidence of subclinical cardiac involvement in SMA, characterized by reduced myocardial mass, altered electrocardiographic parameters, and increased sinus tachycardia. These findings suggest a previously unrecognized form of cardiomyopathy in SMA that differs from cardiac manifestations typically seen in other neuromuscular disorders. Full article
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15 pages, 1449 KiB  
Article
Cochlear Implant in Children with Congenital CMV Infection: Long-Term Results from an Italian Multicentric Study
by Francesca Forli, Silvia Capobianco, Stefano Berrettini, Francesco Lazzerini, Rita Malesci, Anna Rita Fetoni, Serena Salomè, Davide Brotto, Patrizia Trevisi, Leonardo Franz, Elisabetta Genovese, Andrea Ciorba and Silvia Palma
Children 2025, 12(7), 908; https://doi.org/10.3390/children12070908 - 10 Jul 2025
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Abstract
Background/Objectives: Congenital cytomegalovirus (cCMV) infection is the most common non-genetic cause of sensorineural hearing loss (SNHL) in children. In cases of severe-to-profound SNHL, cochlear implantation (CI) is a widely used intervention, but outcomes remain variable due to possible neurodevelopmental comorbidities. This study [...] Read more.
Background/Objectives: Congenital cytomegalovirus (cCMV) infection is the most common non-genetic cause of sensorineural hearing loss (SNHL) in children. In cases of severe-to-profound SNHL, cochlear implantation (CI) is a widely used intervention, but outcomes remain variable due to possible neurodevelopmental comorbidities. This study aimed to evaluate the long-term auditory and language outcomes in children with cCMV after CI and to explore clinical and radiological predictors of post-CI performance. Methods: Fifty-three children with cCMV and bilateral severe-to-profound SNHL who underwent CI at five tertiary referral centers in Italy were included in the study. Auditory and language outcomes were assessed pre- and post-implantation using the Categories of Auditory Performance II (CAP-II) scale, the Nottingham 3-Level Classification, and the Bates Language Development Scale. Brain MRI abnormalities were classified according to the Alarcón classification. Correlations were explored between outcome scores and symptomatic status at birth, MRI findings, and neurodevelopmental comorbidities. Results: At birth, 40 children (75.5%) were symptomatic and 13 (24.5%) asymptomatic. Neurodevelopmental comorbidities were present in 19 children (35.8%). MRI was normal in 15 (28.3%), mildly abnormal in 26 (49%), and moderately to severely abnormal in 12 (22.6%). Auditory and language outcomes improved significantly post-CI (p < 0.001), though the outcomes varied widely. Twenty-five children (47%) reached CAP level ≥ 6, and thirteen (23%) reached Bates Level 6. Symptomatic status at birth correlated weakly with worse CAP (ρ = −0.291, p = 0.038) and Bates (ρ = −0.310, p = 0.028) scores. Higher Alarcón scores were significantly associated with neurodevelopmental comorbidities, though not directly with post-CI auditory and language outcomes. Finally, the presence of neurodevelopmental disabilities was generally associated with lower results, even if without statistical significance. Conclusions: CI provides substantial auditory and language benefit in children with cCMV, even in cases of severe neurodevelopmental comorbidities. MRI and developmental assessments, as well as perinatal history for clinical signs and symptoms, are helpful in guiding expectations and personalizing post-implantation support. Full article
(This article belongs to the Special Issue Treatment Strategies for Hearing Loss in Children)
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