Citations

Abstract Antidepressants are widely prescribed for major depressive disorder, yet only one-third of patients achieve remission after initial treatment. Previous genome-wide association studies (GWAS) of clinically assessed antidepressant response combined multiple antidepressant classes, potentially obscuring class-specific effects. This study focused on selective serotonin reuptake inhibitors (SSRIs), often first-line due to better tolerability. Data from 15 cohorts across four ancestries were integrated: European (N = 3887; 11 studies), East Asian (N = 1068; 4), African (N = 277; 1), and Admixed American (N = 250; 1). GWAS of non-remission and percentage improvement were conducted within cohorts, followed by ancestry-specific meta-analyses and trans-ancestry meta-regression. Single nucleotide polymorphism (SNP)-based heritability was estimated in European samples. Polygenic scores were used for leave-one-out prediction and to assess shared genetic architecture with psychiatric traits. Gene-level and gene-set enrichment analyses were also performed. No genome-wide significant variants were identified for either outcome in any ancestry-specific or trans-ancestry analyses. However, trans-ancestry meta-regression yielded eight independent loci with suggestive associations (p < 1 × 10 −5 ) for non-remission and 17 for percentage improvement. Gene-set analyses revealed nominal enrichment of the serotonergic synapse pathway for non-remission. SNP-based heritability estimates were not significantly different from zero for either outcome. Better SSRI response was nominally associated with lower genetic predisposition to major depressive disorder, post-traumatic stress disorder, and schizophrenia. This study represents the largest trans-ancestry GWAS of SSRI response, highlighting emerging biological signals. Limited power emphasises the need for larger and ancestrally diverse cohorts to better characterise the genetic architecture of antidepressant response.

Graph neural networks (GNNs) are increasingly used for medical imaging analysis and biological data modeling, where the integration of radiomics, topology, geometry, and generative artificial intelligence (AI) may improve representation learning from medical images and related biomedical data. Across the reviewed literature, GNNs show particular value for modeling spatial relationships, multimodal interactions, graph-structured biological networks, and non-Euclidean imaging features that are difficult to capture using conventional convolutional architectures alone. Topology- and geometry-aware approaches further expand this capability by encoding multi-scale structure, higher-order relationships, curvature, geodesic organization, and equivariant spatial priors. Hybrid graph–transformer models and generative graph methods represent emerging directions for modeling long-range dependencies, augmenting scarce datasets, supporting synthetic pretraining, and improving representation learning in low-label or heterogeneous biomedical settings. However, clinical translation remains limited by variability in graph construction, limited external validation, computational cost, scalability constraints, interpretability challenges, and uncertainty regarding the biological realism of synthetic data. Overall, this review highlights that GNN-based medical imaging analysis is most likely to advance when graph construction is biologically justified, model performance is evaluated across diverse clinical cohorts, and technical gains are paired with transparent validation, interpretability, and implementation strategies.

Abstract Nonmyeloablative-related haploidentical allogeneic stem cell transplantation (NMAC-HID allo-HSCT) has emerged as an additional treatment to achieve durable remission in sickle cell disease (SCD), a prevalent blood disorder characterized by painful vaso-occlusive crises and chronic anemia. The standard of care (SOC) for SCD includes hydroxyurea, pain management, and blood transfusion, but patients with SCD still lose several decades of life expectancy. Gene therapy (GT) for SCD is the other treatment for lifelong disease amelioration in SCD, with accessibility limited by cost and manufacturing capacity in the United States and globally. Two recent prospective studies that evaluated NMAC-HID allo-HSCT validated haploidentical allotransplantation as an efficacious and accessible treatment option in the era of GT. Given the ongoing price negotiation across jurisdictions for GT implementation and the absence of cost-effectiveness data comparing NMAC-HID allo-HSCT and GT, we conducted a cost-effectiveness analysis of NMAC-HID allo-HSCT vs GT vs SOC for adults and children living with SCD. The primary outcomes were the incremental cost-effectiveness ratio and the net monetary benefits across these 3 strategies. The secondary outcome was the maximum cost-effective threshold price for GT compared with NMAC-HID allo-HSCT. Treatment with SOC, NMAC-HID allo-HSCT, and GT accrued 14.3, 20.1, and 22.1 quality-adjusted life-years at costs of $1.22 million, $1.15 million, and $2.75 million, respectively. NMAC-HID allo-HSCT was the cost-effective strategy compared with GT in 100% of 10 000 Monte Carlo iterations across the base case and all scenario analyses. The maximum cost-effective thresholds for GT vs SOC were $1.4 million in the United States and $4200 to $22 000 across India, Nigeria, and Tanzania, depending on willingness-to-pay thresholds.

Background: Liver transplantation (LT) remains the definitive treatment for end-stage liver disease; however, post-LT outcomes may differ depending on underlying disease etiology. Our study aimed to compare post-LT outcomes between alcoholic and non-alcoholic steatohepatitis (NASH)-related liver transplant recipients in the United States. Methods: A retrospective cohort study was conducted using the TriNetX Research Network. Adult liver transplant recipients (≥18 years) were categorized into two mutually exclusive cohorts: alcoholic liver disease and NASH-related liver disease. Propensity score matching (1:1) was performed to balance baseline characteristics. Clinical outcomes were assessed. Comparative analyses included risk ratios, risk differences, odds ratios, Kaplan–Meier survival analysis, and hazard ratios with log-rank testing. Results: Compared with NASH recipients, alcoholic LT recipients had a significantly higher risk of rejection (14.5% vs. 12.1%; RR 1.195, 95% CI 1.076–1.327; p = 0.001) and hepatic encephalopathy (14.3% vs. 8.3%; RR 1.720, 95% CI 1.526–1.938; p < 0.001). Acute kidney injury was also more frequent in the alcoholic cohort (47.3% vs. 43.6%; RR 1.084, 95% CI 1.036–1.133; p < 0.001). In contrast, sepsis (15.6% vs. 18.0%; RR 0.869, 95% CI 0.794–0.952; p = 0.003) and CKD (46.1% vs. 51.1%; RR 0.901, 95% CI 0.863–0.939; p < 0.001) occurred less frequently in alcoholic LT patients. No significant differences were observed for liver transplant failure or ascites. Kaplan–Meier analyses demonstrated significantly lower rejection-free survival (HR 1.241, p < 0.001), higher hepatic encephalopathy (HR 1.808, p < 0.001), increased AKI risk (HR 1.150, p < 0.001) and higher all-cause mortality in the alcoholic cohort (HR 1.106, p = 0.031). Conclusions: In this large real-world matched cohort study, alcoholic LT recipients demonstrated higher risks of complications and all-cause mortality compared with NASH LT recipients.

Abstract Introduction Despite progress in understanding placebo effects in clinical trials of inflammatory bowel disease (IBD), there is a limited understanding of how socioeconomic factors of recruiting countries impact placebo rates. We investigated the association of socioeconomic factors across recruitment sites on placebo rates in IBD randomized controlled trials. Methods We examined the association of clinical and endoscopic remission and response to the weighted Gross National Index (GNI) per capita, Human Development Index (HDI), and out-of-pocket health expenditures as a percentage of current health expenditures (OOP_CHE) of identified trials using mixed effects linear regression. Results Across 76 trials (Crohn’s disease [CD]: n = 32; ulcerative colitis [UC]: n = 44), placebo response rates over time were largely stable, with a small increase across time in clinical remission for CD trials (β = 0.4% per increase in study year, 95% CI: 0.3%-0.84%, P = .04) and a small decrease across time in endoscopic response for UC trials (β = −1.39% per increase in study year, 95% CI: −1.79, −0.99, P &lt; .001). Clinical response was most susceptible to changes in socioeconomic factors in IBD trials (β = −2.96% per 10 000 USD increase in study GNI, 95% CI: −4.98, −0.95%, P = .004; P &lt; .05 for HDI and OOP_CHE). Across both conditions, decreases in clinical response were associated with increases in HDI and OOP_CHE (CD HDI: β = −1.15% per 0.01 increase in study HDI, 95% CI: −2.24, −0.06%, P = .04; UC HDI: β = −0.66% per 0.01 increase in study HDI, 95% CI: −1.19, −0.12%, P = .02). Discussion We found that placebo clinical response was most susceptible to influences of site-level socioeconomic wellbeing. These findings highlight that estimation of placebo rates in trial planning should account for geographic location of recruiting sites.

Background: There is growing support for high-efficacy disease-modifying therapy (DMT) in multiple sclerosis (MS), but escalation (ESC) approaches remain common. Objective: To describe decision-making in a pragmatic trial of early high-efficacy treatment (EHT) versus ESC. Methods: DELIVER-MS is a multi-center, pragmatic, randomized controlled trial (RCT) with a parallel observational study (OBS), which enrolled treatment-naïve people with RRMS in 31 UK/US sites. Primary outcome was as follows: 36-month brain volume loss according to initial treatment approach (EHT vs. ESC). Stepwise multivariable logistic regression was used to predict participation in RCT versus OBS and choice of EHT versus ESC within the OBS cohort. Results: In total, 816 people with MS were enrolled. Participants declined randomization due to preference for a particular DMT (85%), efficacy concerns (20%), and safety concerns (9%). RCT versus OBS participation was associated with lower relapse rate ( p = 0.043) and greater brain parenchymal fraction ( p = 0.002). Among 374 in the OBS cohort, 125 (33%) chose ESC and 249 (67%) chose EHT. People commencing EHT had higher education attainment ( p < 0.001) and relapse rate ( p = 0.025). Conclusion: Baseline DELIVER-MS data demonstrate that participants with milder disease are more likely to participate in RCT. The choice of EHT versus ESC was associated with demographic factors and disease activity. Clinical trial registration: NCT03535298

Colorectal cancer (CRC) is responsible for a high cancer burden and a high number of deaths all over the world, although effective screening can make it preventable to a significant extent. Stool-based tests, such as the fecal immunochemical test (FIT) and multitarget stool DNA (mt-sDNA) testing, are gaining considerable popularity as non-invasive procedures that can be a replacement for colonoscopies for people at an average risk for colon cancer. Despite evidence from several randomized controlled trials supporting the use of these tests for colorectal cancer screening, their external validity in a real-world setting is influenced by many factors such as adherence, timely follow-up post testing, the healthcare cost burden, accessibility and the capacity of the health system. In this article, we have performed an extensive narrative literature review of research published between 2020 and 2025 comparing FIT and the mt-sDNA test with reference to diagnostic accuracy, cost-effectiveness, adherence and outcomes of implementation. We discuss the issues of sensitivity and specificity, look at post-test requirements for colonoscopy and check if there is any discrimination in healthcare. These findings suggest that FIT and mt-sDNA tests should not be considered competing technologies but rather complementary screening methods, with their overall effectiveness contingent upon appropriate patient selection and widespread system-level implementation. It is crucial to combine strategic test selection with a robust follow-up infrastructure to ensure that the entire population benefits from the CRC prevention program.

Introduction Recent transcriptome analysis has demonstrated increased expression of Vascular Endothelial Growth Factor receptor-1 (VEGFR-1/FLT1) and in AD brain. Increased expression of VEGFR1 and its ligand VEGFB were associated with a more rapid rate of cognitive decline, providing evidence of a potential link between increased VEGFR-1 expression in AD pathogenesis. In this study, we explored the potential role of VEGFR-1 expression in neurons on AD pathology. Methods To confirm VEGFR1 expression in AD brains, we first performed immunostaining in AD brain sections (AD - Braak stage V-VI, and normal controls - Braak 0-II). And to determine a potential detrimental role of neuronal VEGFR1 expression on AD associated pathologies, we exposed SH-SY5Y human neuroblastoma cells and mouse primary neurons to either hypoxia conditions (1%O 2 ) or 5 μ Aβ1-42 oligomers or fibrils for 24, 28 and 72hrs. Results In this study, we found preferential staining of VEGFR-1 in the neuropil and neuronal cell bodies both in AD and Control hippocampus and increased VEGFR-1 immunoreactivity in dystrophic neuritic processes in the vicinity of Thio-S positive amyloid plaques in AD brains. And treatment of SH-SY5Y human neuroblastoma cell line and mouse primary neurons, with either hypoxia conditions or Aβ1-42 oligomers, resulted in increased VEGFR-1 expression and cleaved caspase 3 activation, leading to neuronal toxicities/cell death. Similarly, treatment with Aβ1-42 fibrils also increased VEGFR-1 and cleaved caspase 3 protein levels in the SH-SY5Y cells whereas treatment with Aβ1-42 monomers had no effect on VEGFR-1 expression. In addition, we show that over-expression of VEGFR-1 intracellular domains in SH-SY5Y cells directly induced neuronal toxicities and importantly, siRNA-mediated knockdown of VEGFR-1 in neurons prevented the hypoxia, Aβ1-42 oligomer and Aβ1-42 fibril-induced toxicities and cell death phenotypes. Treatment with either hypoxia or Aβ1-42 oligomers also reduced expression of cell survival genes including VEGFR-2 and Hippo pathway YAP1 and siRNA-mediated VEGFR-1 knockdown in the neurons normalized expression of both VEGFR-2 and YAP1. Using differential gene expression analysis, we demonstrated upregulation of several inflammatory/interferon-stimulated genes (ISGs) as well as increased expression of genes involved in activation of oxidative stress and cell death pathways in response to Aβ1-42 oligomers treatment in mouse primary neurons. And siRNA-mediated VEGFR-1 knockdown in the mouse primary neurons, reduced gene expression of both the ISGs and oxidative stress/cell death pathways in response to Aβ1-42 oligomer treatment. Discussion In summary, these results show that siRNA-mediated knockdown of VEGFR-1 in neurons significantly prevented hypoxia, Aβ1-42 oligomer and Aβ1-42 fibril-induced cellular toxicities and cell death phenotypes, indicating a potential detrimental role of aberrant VEGFR-1 expression and signaling in response to AD associated pathologies.