👤 Yahya S Alqahtani

BACKGROUNDMetabolic dysfunction-associated steatotic liver disease (MASLD) has a substantial inherited component. Rare variants in apolipoprotein B gene (APOB) have been implicated in susceptibility to liver steatosis, but their role in disease progression and outcomes is unclear.METHODSWe investigated APOB rare variants in a case-control cohort of people with advanced MASLD versus healthy controls (n = 510 and 261, respectively), a family-based study (n = 43 and literature meta-analysis), the Million Veteran Program (MVP) cohort (n = 94,885), and the UK Biobank (UKBB) (n = 417,657).RESULTSIn the clinical cohort, APOB variants were enriched in people with advanced MASLD (OR 13.8, 95% CI: 2.7-70.7, P = 0.002) and associated with lower circulating lipids, but higher MASLD activity and fibrosis (P < 0.05). In the family study, APOB variants segregated with hepatic steatosis and fibrosis (P < 0.05). Cross-ancestry meta-analysis of the study cohorts yielded pooled ORs for cirrhosis and hepatocellular carcinoma (HCC) of 1.82, 95% CI: 1.33-2.49 and 3.53, 95% CI: 2.09-5.98, respectively. Variants affecting specifically ApoB100 had a 3-fold greater effect on hepatic lipid metabolism compared with those impairing also ApoB48 and were specifically protective against coronary artery disease (P < 0.05). The variants affected cirrhosis risk similarly, but ApoB48/100 had a larger effect on HCC (P < 0.05).CONCLUSIONSRare APOB variants predispose individuals to advanced MASLD and HCC, with distinct contributions from disrupted VLDL and chylomicrons secretion. These findings highlight the interplay between hepatic and intestinal lipid handling, suggesting that APOB genotyping may enhance MASLD risk stratification and patient identification.FUNDINGEuropean Union, Italian Ministry of Health, Swedish Research Council, Veterans Health Administration, NIH. Show less

Hypertriglyceridemia and hypercholesterolemia are well-known risk factors for atherosclerotic cardiovascular disease (ASCVD), especially in patients already at elevated cardiovascular risk. Despite current treatment approaches, including lifestyle changes and medication, many individuals do not reach ideal lipid levels, emphasizing the need for new therapeutic options. Olezarsen, an antisense oligonucleotide targeting apolipoprotein C-III (ApoC-III) synthesis, has emerged as a promising candidate to reduce residual cardiovascular risk in these patients. This systematic review and meta-analysis aimed to assess the effectiveness and safety of different dosages of Olezarsen in patients with high-risk hypertriglyceridemia. Additionally, it explored whether varying dosage regimens impacted lipid outcomes and adverse events. Following PRISMA guidelines, a comprehensive search was conducted in PubMed, Scopus, Web of Science, and Cochrane Library for randomized controlled trials (RCTs) published in English. The studies included compared different doses of Olezarsen with placebo in high-risk hypertriglyceridemia patients. Primary outcomes were changes in triglycerides (TG), very-low-density lipoprotein cholesterol (VLDL-C), apolipoprotein B (ApoB), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and treatment-emergent adverse events (TEAE). Secondary outcomes included changes in non-HDL-C and total cholesterol (TC). The data were analyzed as mean differences (MD) or odds ratios (OR) using a random-effects model. Four RCTs (309 participants) were included. The pooled analysis demonstrated significant reductions in TG (MD = -76.11), VLDL-C (MD = -54.95 mg/dL), ApoB (MD = -12.40 mg/dL), non-HDL-C (MD = -18.03 mg/dL), and LDL-C (MD = -10.09 mg/dL) with Olezarsen treatment compared to placebo. Olezarsen also significantly increased HDL-C levels (MD = + 22.60 mg/dL), while total cholesterol remained unchanged. No significant differences in overall adverse events or drug-related adverse events were observed compared to placebo. Subgroup analysis revealed a dose-dependent effect on several lipid parameters without an increase in adverse events with higher doses. Olezarsen effectively improves key lipid parameters, including TG, VLDL-C, ApoB, non-HDL-C, and LDL-C, while also safely raising HDL-C in patients with high-risk hypertriglyceridemia. Total cholesterol remained stable, and no increase in adverse events was noted. Further studies are needed to determine optimal dosing and long-term cardiovascular benefits. Show less

Conventional biomarkers such as low-density lipoprotein (LDL) and high-density lipoprotein may fail to identify patients' risk for significant coronary artery disease (CAD). This study evaluates the associations between multiple biomarkers and different CAD phenotypes, exploring a machine-learning biomarker-based patient clustering. We included 787 patients on primary prevention from the prospective ACTION registry (January 2024 to June 2025). All patients underwent coronary CTA and simultaneous biomarker testing, including LDL, high-density lipoprotein, triglyceride, apolipoprotein A-1, apolipoprotein B, lipoprotein(a) [Lp(a)], glycated hemoglobin (HbA1c), and high-sensitivity C-reactive protein. Of 382 patients (48.5%) with coronary artery calcium = 0, 42 (11%) had coronary plaque. These patients showed higher Lp(a) vs those without plaque (16.5 vs 11.5, P = .030), despite comparable SCORE2 risk (3.5% vs 3.0%, P = .284). Three biomarker-defined groups were identified after a machine learning unsupervised clustering: Cluster 1 had a favorable lipid profile with the lowest prevalence of CAD-Reporting and Data System (RADS) ≥ 3 (9.9%). Cluster 2 and 3, despite their significant intercluster differences in terms of Lp(a), LDL, and HbA1c levels, both showed a significantly higher prevalence of CAD-RADS ≥ 3 compared to cluster 1 (respectively 21.8% and 17.9%; vs cluster 1, P = .001). High-risk biomarker signatures were significantly associated to the prevalence of CAD-RADS ≥ 3, independently from the baseline SCORE2 (adjusted odds ratio 2.25; 95% confidence interval 1.32-3.82). Distinct biomarker signatures associate with distinct CAD prevalence and severity that conventional lipid markers fail to distinguish. Lp(a) appears relevant for early plaque detection in coronary artery calcium = 0 patients. A comprehensive biomarker evaluation may help identifying high-risk subgroups overlooked by a conventional assessment. Show less

Autism spectrum disorder (ASD) is a neurodevelopmental disease characterized by repetitive behaviors and a lack of social communication. The role of probiotics, phytochemicals and their combination phytochemicals as treatment options for ASD is still under study. This study aimed to evaluate the associated molecular pathways and explore the impact of Fifty 3-week-old male albino rat pups were randomly distributed into five groups. The groups included a control group, a PA-induced ASD group, in which PA (250 mg/kg, p.o.) was administered for 3 days, and three other groups that received PA (250 mg/kg, p.o.) for 3 days along with either Compared with the group administered only PA, treatment with Our results suggest that Show less

Prostate cancer (PCa) remains a significant global health challenge, with approximately 1.6 million new cases and 366,000 deaths annually. Despite high survival rates for localized prostate cancer, recurrence poses a substantial risk due to inherent biological factors and residual disease. Early detection and intervention are essential for enhancing patient outcomes and reducing mortality. However, traditional diagnostics such as PSA tests, digital rectal examinations, and biopsies often lack specificity resulting in overdiagnosis. There is a pressing need for novel biomarkers to enhance precision medicine approaches for PCa. This study employs a machine learning approach to identify DNA methylation and RNA expression biomarkers predictive of PCa recurrence using datasets from The Cancer Genome Atlas (TCGA). We analyzed 49,133 genes, identifying 684 differentially methylated genes (DMGs) and 691 differentially expressed genes (DEGs) between recurrence and non-recurrence groups. Ten genes (TNNI2, SPIN2, COL5A3, RNF169, CCND1, FGFR1, SLC17A2, FAMM71F2, RREB1, AOX1) were found to have significant correlations between methylation and expression, forming the basis for our predictive model. A support vector machine (SVM) model was developed using these ten genes, achieving an area under the curve (AUC) of 0.773, demonstrating robust predictive capability. Multivariate regression analysis confirmed the SVM score as an independent predictor of recurrence (HR = 0.45; 95% CI 0.28-0.69, P < 0.001). The analysis of recurrence-free survival suggested that patients with low-risk scores experienced significantly better outcomes compared to those with high-risk scores. Functional enrichment analyses of DMGs revealed significant involvement in biological processes such as transcription regulation, signal transduction, and immune response, highlighting the potential mechanistic pathways of these biomarkers. Validation using real-time PCR confirmed differential expression and methylation patterns of the identified genes in prostate cancer (PC3) and non-cancerous cell lines (PNT2). In conclusion, our study hihglights the DNA methylation biomarkers linked to PCa recurrence and introduces a promising SVM model for early prediction, potentially improving treatment outcomes. Further research is needed to explore the biological roles of these genes in PCa aiming to refine therapeutic approaches. Show less

Alzheimer's disease (AD) is among the highly prevalent neurodegenerative disorder of the aging brain and is allied with cognitive and behavioral abnormalities. Unfortunately, there is very limited drug discovery for the effective management of AD, and the clinically approved drugs have limited efficacy. Consequently, there is an immediate demand for the development of new compounds that have the ability to act as multitarget-directed ligands (MTDLs). As major pathological targets of the disease, the current study aimed to investigate lead natural bioactive compounds including apigenin, epigallocatechin-3-gallate, berberine, curcumin, genistein, luteolin, quercetin, resveratrol for their inhibitory potentials against β-amyloid cleaving enzyme-1 (BACE1) and monoamine oxidase-B (MAO-B) enzymes. The study compounds were docked against the target enzymes (MAO-B and BACE1) using MOE software and subsequent molecular dynamics simulations (MDS) studies. The molecular docking analysis revealed that these phytochemicals (MTDLs) showed good interactions with the target enzymes as compared to the reference inhibitors. Among these eight phytocompounds, the epigallocatechin-3-gallate compound was an active inhibitor against both drug targets, with the highest docking scores and good interactions with the active residues of the enzymes. Furthermore, the docking result of the active one inhibitor in complex with the target enzymes (epigallocatechin-3-gallate/BACE1, epigallocatechin-3-gallate/MAO-B, reference/BACE1 and reference/MAO-B) were further validated by MDS. According to the findings of our study, epigallocatechin-3-gallate has the potential to be a candidate for use in the treatment of neurological illnesses like AD. This compound has MTDL potential and may be exploited to create new compounds with disease-modifying features.Communicated by Ramaswamy H. Sarma. Show less

Saudi Genome program is a revolutionary nationwide transformation initiative of Saudi Vision 2030. The program goals are to recognize and reduce the incidence of genetic diseases in the Kingdom of Saudi Arabia (KSA). Accordingly, the program will establish the foundation for personalized and genomic medicine in the KSA. Epilepsy has a high prevalence in KSA reaching around 6.54 of 1000 individuals with a subsequent massive financial burden. One of the main risk factors for this high prevalence and associated with increased risk of epilepsy development is consanguinity marriage, which is traditional in KSA. In this review, we executed a comprehensive state-of-art literature review regarding epilepsy genetics to offer a perception into the genes associated with epilepsy recognized in Saudi epileptic patients. Several genes' mutations were incorporated in this review including AFG3L2, ASPM, ATN1, ATP1A2, BMP5, CCDC88A, C12orf57, DNAJA1, EML1, ERLIN2, FRRS1L, GABRG3, NRXN3, MDH1, KCNJ10, KCNMA1, KCNT1, KIAA0226, OPHN1, PCCA, PCCB, PEX, PGAP2, PI4K2A, PODXL, PRICKLE1, PNKP, RELN, SCN2A, SCN1B, SLC2A1, SLC19A3, SLC25, SIAH1, SYNJ1, SZT2, TBCK, TMX2, TSC1, TSC2, TSEN, WDR45B, WWOX, UBR, UGDH, and YIF1B. For each of these genes, we tried to explain a little about the gene associated proteins and their roles in epilepsy development. Show less

Type 2 diabetes mellitus (T2DM) is a common polygenic disease with associated comorbidities. Obesity is a major risk factor for the development of T2DM. The aim of this study is to determine the allele and genotype frequency of peroxisome proliferator-activated receptor- Show less