Citations

Abstract Functional magnetic resonance imaging (fMRI) data are inherently complex, characterized by high dimensionality, intricate inter-regional dependencies, and substantial individual variability across experimental paradigms. Traditional linear mixed models (LMMs) provide a principled framework that models population-level fixed effects while estimating variance components arising from subject-level random effects; however, they often fail to adequately capture nonlinear relationships inherent in neuroimaging data. To address these limitations, we introduce the nonlinear mixed model (NMM) approach, an innovative extension of the LMM framework that integrates neural networks to flexibly model complex fixed-effect relationships while preserving the random-effects structure to account for individual differences. NMM advances fMRI analysis by: (1) identifying robust functional connectivity (FC) patterns consistently observed across multiple paradigms; (2) leveraging SHapley Additive exPlanations (SHAP) analysis to provide post-hoc interpretability of the nonlinear fixed effects, quantifying how age, sex, and paradigm contribute to predicted FC and how these effects are distributed across large-scale brain networks; and (3) using subject-specific random effects as neural fingerprints that not only show systematic variability across attention and default mode systems but also predict standardized cognitive scores, demonstrating biological relevance. Applied to the Philadelphia Neurodevelopmental Cohort (PNC) across emotion, n-back, and resting-state paradigms, NMM achieved superior model fit relative to classical LMMs, as evidenced by lower mean squared error (MSE) in predicting FC. This framework offers a statistically rigorous and practically explainable approach for modeling large-scale FC from modest covariates while explicitly separating population-level effects from stable individual variability in functional brain organization.

The creation of an arteriovenous fistula in a uremic pig induces cardiac remodeling, which resembles contemporary clinical findings in patients with end-stage kidney disease (ESKD) and includes increased end-diastolic volumes and cardiomyocyte hypertrophy, potentially driven by fibrosis and senescence. This novel large animal model may now enable mechanistic and therapeutic studies aiming to ease the unacceptably high burden of cardiovascular disease on patients with ESKD.

ABSTRACT Background Superior vena cava isolation (SVCI) is performed as an adjunct to pulmonary vein isolation (PVI) for atrial fibrillation, yet whether an empiric or trigger‐guided strategy is preferable remains uncertain. Prior meta‐analyses have been largely restricted to index procedures in paroxysmal AF and have not explicitly stratified by ablation strategy. We sought to address these gaps through a systematic review of available randomized evidence. Methods Major databases were searched through November 2025 for RCTs comparing PVI+SVCI versus PVI alone. Trials were stratified by strategy: empiric SVCI (performed irrespective of SVC ectopy) or trigger‐guided SVCI (performed only upon demonstrated SVC triggers). The primary outcome was atrial tachyarrhythmia recurrence (≥30 s) beyond the blanking period. Random‐effects models, pre‐specified subgroup analyses, meta‐regression, and GRADE certainty assessment were performed. Results Eight RCTs ( n = 1231) were included; most enrolled paroxysmal AF, while two incorporated non‐paroxysmal AF subtypes and one evaluated repeat ablation procedures. Overall, SVCI+PVI significantly reduced recurrence versus PVI alone (97/604 vs. 135/627; RR 0.77, 95% CI 0.61–0.97; p = 0.03; I 2 = 0%). On stratified analysis, empiric SVCI demonstrated a significant recurrence reduction (RR 0.70, 95% CI 0.53–0.92; p = 0.01; I 2 = 0%), while trigger‐guided SVCI did not reach statistical significance (RR 0.80, 95% CI 0.37–1.74; p = 0.57; I 2 = 52%). In paroxysmal AF ( n = 1038), adjunctive SVCI significantly reduced recurrence compared with PVI alone (RR 0.68, 95% CI 0.52–0.90; p = 0.01; I 2 = 0%). Fluoroscopy time was longer with SVCI; total procedure duration was comparable. Major complications were infrequent but numerically higher with SVCI+PVI (15/604 vs. 7/627; RR 1.96, 95% CI 0.87–4.38; p = 0.10). Meta‐regression identified no significant effect modifiers. GRADE certainty was high for overall and empiric analyses, and moderate for trigger‐guided SVCI. Conclusions Empiric SVCI significantly reduced AT/AF recurrence as an adjunct to PVI, while trigger‐guided SVCI did not demonstrate a significant benefit. These findings suggest SVC isolation confers benefit independent of prior trigger documentation, supporting the role of empiric SVCI as an adjunct to AF ablation.

Introduction: Endothelial cell (EC) dysfunction, driven by comorbidities of heart failure with preserved ejection fraction (HFpEF), has emerged as a potential contributor to disease progression, yet the EC specific molecular mediators in HFpEF remain poorly defined. Purpose: To identify EC-specific molecular mediators that are involved in HFpEF and determine their functional roles in disease pathogenesis. Hypothesis: Based on omics analysis of a murine HFpEF model, we hypothesized that EC plasminogen activator inhibitor-1 (PAI-1) is a key mediator of HFpEF pathogenesis. Methods: Male RiboTagEC (Cdh5CreERT2+/Rpl22HA/+) mice were used in a HFpEF model induced by hypertensive/metabolic stresses (60% calories from lard and L-NAME 0.5 g/L in water) or administrated with normal water and diet as controls. Hearts and skeletal muscle were collected for both bulk RNA sequencing (Bulk-seq) and EC-specific translatome analysis using translating ribosome affinity purification assay followed by RNA-sequencing (TRAP-seq). The functional roles of EC PAI-1 were tested using male tamoxifen-inducible, endothelial specific PAI-1 knockout (Cdh5CreERT2+/PAI-1flox/flox, PAI-1iEC KO) and control mice (PAI-1flox/flox, PAI-1iEC+/+) subjected to HFpEF induction. Cardiac function was assessed by echocardiography, pressure–volume (PV) loop analysis, and treadmill exercise testing. Student’s t-test was used (p < 0.05). Results: Bulk-seq and EC-specific TRAP-seq identified PAI-1 as one of the most upregulated genes in both heart and skeletal muscle EC in HFpEF. Bulk-seq demonstrated a 2.5-fold change (FC, log 2 FC=1.35) increases in the heart and 12.2-fold increases (log 2 FC = 3.61) in the skeletal muscle. TRAP-seq showed a 1.75-fold change (log 2 FC=0.81) increases in the heart and 4.76-fold increases (log 2 FC = 2.25) in the skeletal muscle. These consistent findings led us to investigate the functional role of EC PAI-1 in the pathogenesis of HFpEF. With similar body weight (Control: 40±4 g, n=10; KO: 38±6 g, n=11; p=0.319) and ejection fraction (Control: 54±6 %, n=10; KO: 54±5 %, n=12; p=0.686), we found that PAI-1iEC KO mice exhibited improved diastolic function after 10 weeks of HFpEF induction. Specifically, echocardiography demonstrated a significant reduction in E/e′ in KO mice (Control: 27±4, n=10; KO: 24±3, n=12; p=0.018). PV analysis confirmed this improvement with lower end-diastolic pressure (Control: 19±2 mmHg, n=8; KO: 13±5 mmHg, n=10; p=0.009), reduced Tau (Control: 9.7±1.2 ms, n=8; KO: 8.6±1.0 ms, n=10; p=0.047), and a reduced EDPVR constant β (Control: 0.20±0.05, n=6; KO: 0.10±0.03, n=6; p=0.017). KO mice also exhibited improved treadmill running distance (Control: 179±35 m, n=10; KO: 214±40 m, n=12; p=0.043). Conclusion: Endothelial PAI-1 contributes to diastolic dysfunction and reduced exercise capacity in HFpEF. These findings highlight endothelial PAI-1 as a potential therapeutic target for HFpEF. This abstract was presented at the American Physiology Summit 2026 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

ABSTRACT A central paradox in cancer immunotherapy is that patients harboring apparently exhausted or dysfunctional CD8 + T cells can exhibit rapid and durable responses to immune checkpoint inhibition (ICI). Although such rebound responses do not occur in all ICI-treated patients, resolving this paradox is essential for identifying and therapeutically maximizing reversible T cell exhaustion before clinical benefit is achieved. Here, we identify malic enzyme 1 (ME1) as a key molecular determinant of a latent, epigenetically poised effector CD8 + T cell state that is both necessary and sufficient for responsiveness to ICI. Genetic loss of ME1 abolishes therapeutic efficacy despite intact checkpoint blockade, whereas enforced ME1 expression enables robust antitumor responses even in otherwise ICI-resistant tumor models. Chromatin accessibility profiling, together with bulk and single-cell transcriptomic analyses, demonstrates that ME1 preserves effector readiness by maintaining latent effector capacity as a measurable biological state. These findings also experimentally ground a mechanistically interpretable dynamical model of T cell exhaustion, in which latent effector capacity, E(t), evolves according to a first-order differential equation shaped by activation history and decay. By defining latent effector capacity as a quantifiable, history-dependent state variable, our findings further enable the rational design of AI-driven models to predict patient-specific responsiveness and optimize therapeutic strategies in T cell–based immunotherapy. Together, our results redefine exhaustion as a state of masked potential governed by history-dependent latent effector capacity and provide a unified framework explaining rapid functional rebound, therapeutic heterogeneity, and the boundary between reversible and irreversible T cell exhaustion.

Background Chronic kidney disease (CKD) confers a substantially elevated risk of cardiovascular (CV) mortality, primarily driven by heart failure (HF) and other CV complications. This study aimed to develop a nomogram for predicting incident HF and all-cause death in patients with CKD, and further identify individuals at high risk of these outcomes. Methods We prospectively recruited 440 patients with CKD stages 3–5 and preserved ejection fraction (LVEF) from a nephropathy center between November 2020 to September 2024. Baseline clinical and demographic characteristics, biochemical and echocardiographic parameters, and data from quality-of-life scales were collected. Key predictors were identified using univariate Cox regression, Lasso, Random Forest, and XGBoost algorithms; these identified predictors were then integrated into a nomogram via multivariate Cox regression. Model performance was assessed using the C-index, ROC analysis, and calibration plots. Results Over 29 months (IQR 24–35), 104(23.6%) patients met the primary composite endpoints, which included 62(14.1%) incident HF and 42(9.5%) all-cause death. After selecting variables through forward stepwise regression, age[HR 1.030, P = 0.016], growth differentiation factor 15(GDF-15) [HR 1.076, P &lt; 0.001], lipoprotein(a)[Lp(a)] [HR = 1.011, P = 0.002], ferritin(FER) [HR = 1.009, P = 0.030], and EuroQol-5D (EQ-5D) score [HR 0.099, P = 0.015] were utilized to construct the nomogram. In the training cohort, the model achieved a C-index of 0.772. For temporal validation, time-dependent area under the ROC curve(AUC) values further confirmed its accuracy: 0.779 (95%CI, 0.696–0.863) at 24 months, 0.816(95%CI, 0.743–0.888) at 27 months, 0.836(95%CI, 0.768–0.903) at 32 months, and 0.850(95%CI, 0.771–0.929) at 36 months. Decision curve analysis (DCA) also demonstrated sustained clinical utility across a broad range of threshold probabilities. Conclusion This study identified specific predictors of HF and all-cause mortality in CKD patients. This model has enhanced predictive ability for early identification of these risks, thereby facilitating timely clinical interventions to improve the prognosis of CKD patients.

Importance Standard treatment for human papillomavirus (HPV)–associated oropharyngeal carcinoma (OPC) often includes 7 weeks of intensive chemoradiotherapy with substantial toxic effects. Lowering the radiation dose to gross disease may maintain cancer control with fewer toxic effects. Objective To evaluate long-term oncologic outcomes among patients with HPV-associated OPC treated with definitive deintensified (chemo)radiotherapy. Design, Setting, and Participants This cohort study evaluated consecutive patients treated with (chemo)radiotherapy between September 2014 and August 2022 at multiple institutions under one academic hospital system. Eligible patients had p16-positive OPC with a clinical stage from T0 to T3 and N0 to N2c (according to the American Joint Committee on Cancer [AJCC] Staging Manual, seventh edition ) and favorable smoking history. Data were analyzed between August 2023 and October 2025. Interventions Treatment was 60-Gy intensity-modulated radiotherapy with first-choice concurrent chemotherapy of weekly cisplatin, 30 mg/m 2 , or weekly cisplatin, 40 mg/m 2 . Patients with OPC with a clinical stage from T0 to T2 and N0 to N1 (according to AJCC, seventh edition ) were recommended 60-Gy radiotherapy alone. Main Outcomes and Measures Evaluation of locoregional recurrence was the primary outcome. Distant recurrence, progression-free survival (PFS), and overall survival (OS) were secondary outcomes. Results A total of 240 patients received definitive deintensified (chemo)radiotherapy (207 receiving prospective protocol-adherent treatment and 33 receiving non–protocol-adherent treatment). Mean (SD) patient age was 60.3 (9.9) years (range, 33.0-84.0 years); 206 (85.8%) were male, and 34 (14.2%) were female. The cohort included 139 never smokers (57.9%) and 101 former smokers (42.1%) (median smoking history, 9.0 pack-years [range, 0.25-50.0 pack-years]). Concurrent chemotherapy was prescribed for 205 patients (85.4%), with 185 (77.1%) receiving cisplatin, and 165 (68.8%) receiving weekly cisplatin, 30 mg/m 2 . Median follow-up for surviving patients was 6.5 years (range, 0.44-11.0 years; 208 of 210 [99.0%] with minimum 2-year follow-up). Outcomes were as follows: 2-year OS was 97.9% (95% CI, 96.1%-99.7%), and 5-year OS, 92.4% (95% CI, 89.0%-96.0%); 2-year PFS, 94.1% (95% CI, 91.2%-97.2%), and 5-year PFS, 86.5% (95% CI, 82.1%-91.0%); 2-year locoregional recurrence, 1.3% (95% CI, −0.2% to 2.7%), and 5-year locoregional recurrence, 3.4% (95% CI, 1.1%-5.8%); 2-year distant recurrence, 4.6% (95% CI, 1.9%-7.3%), and 5-year distant recurrence, 7.3% (95% CI, 3.9%-10.7%). The median time to progression events was 1.9 years (range, 0.3-5.1 years); 12 of 26 recurrences (46.2%) occurred after 2 years. Thirty-three patients with low-risk disease (clinical stage T0-T2, N0-N1, according to AJCC, seventh edition ) received radiotherapy alone, which resulted in a 5-year PFS of 93.8%, with no patients experiencing a locoregional recurrence. Conclusions and Relevance In this cohort study, modest dose deintensification of 60-Gy radiotherapy in patients with HPV-associated OPC shows favorable rates of locoregional control. These findings provide support for ongoing investigations of deintensified radiotherapy.

Abstract T cell exhaustion is commonly viewed as a terminal differentiation state marked by irreversible loss of effector function during chronic infection and cancer. However, the rapid restoration of cytotoxic activity following PD-1 checkpoint blockade challenges this view, revealing a central paradox: T cells that appear functionally inert can regain effector function on timescales incompatible with de novo differentiation or extensive epigenetic reprogramming. To resolve this contradiction, we present a mathematical framework that explicitly decouples latent effector capacity from active effector output. We define latent effector capacity as a slow, history-dependent state variable representing preserved epigenetic accessibility and regulatory readiness at effector loci, distinct from instantaneous transcriptional activity. Within this framework, PD-1 signaling functions as a reversible, graded masking mechanism that suppresses effector realization without erasing latent capacity, thereby explaining the coexistence of preserved chromatin accessibility, rapid functional rebound, and heterogeneous responses to checkpoint blockade. Incorporating nonlinear self-maintenance of epigenetic programs together with checkpoint-dependent erosion of latent capacity reveals a bistable regime and a history-dependent point of no return, beyond which exhaustion becomes irreversible. Critically, the model demonstrates that PD-1 checkpoint blockade unmasks pre-existing effector potential but cannot recreate lost capacity, because therapeutic reversibility is governed by the prior dynamical stability of a latent epigenetic state rather than by instantaneous transcriptional output. This framework establishes a mathematical foundation for mechanistically predictive AI in PD-1 blockade therapy by identifying latent, history-dependent variables that can be inferred from epigenetic and transcriptional data to predict therapeutic responsiveness and irreversibility.

Abstract Intercellular communication between multiple myeloma (MM) cells and osteoclast precursor cells (pre-OCs) contributes extensively to the occurrence and development of myeloma-related bone destruction. However, key interacting modes and the exchanged substances involved in this communication remain unclear. In this study, we discover that tunneling nanotubes (TNTs) directly connect MM and pre-OCs. Using the stable isotope labeling with amino acids in cell culture assay and a positive-negative double selection strategy, we identify filamin A (FLNA) as a major protein transported from MM to pre-OCs. FLNA acts as a molecular clutch linking extracellular matrix–bound MAC1 to the cytoskeleton, activating Rho and MAPK signaling pathways and promoting F-actin polymerization, which subsequently enhances osteoclast differentiation by modulating cellular stiffness, traction force, and deformability. In addition, FLNA directly binds vinculin and promotes its recruitment to podosomes, thereby enhancing the functions of podosomes and the bone resorption capacity of osteoclasts. The conditional depletion of Flna in mice suppresses podosome activity and reduces stiffness, traction force, and deformability in pre-OCs, leading to significantly impaired osteoclast differentiation and increased bone mass. In the Vk∗MYC mouse model of myeloma, the administration of the TNT inhibitor latrunculin B disrupts FLNA transport to osteoclasts and alleviates osteolytic bone disease. These findings highlight the critical role of MM-transferred FLNA in osteoclastogenesis and suggest that targeting TNTs may represent a therapeutic strategy to limit pathological bone resorption associated with MM.