Abstract Background Amino acid PET using the tracer O-(2-[18F]fluoroethyl)-L-tyrosine (FET) is one of the most reliable imaging methods for detecting glioma recurrence. Here, we hypothesized that functional MR connectivity between the metabolic active recurrent tumor region and resting-state networks of the brain could serve as a prognostic imaging biomarker for overall survival (OS). Methods The study included 82 patients (26-81 years; median ECOG performance score, 0) with recurrent gliomas following therapy (WHO-CNS 2021 grade 4 glioblastoma, n=57; grade 3 or 4 astrocytoma, n=12; grade 2 or 3 oligodendroglioma, n=13) diagnosed by FET PET simultaneously acquired with functional resting-state MR. Functional connectivity (FC) was assessed between tumor regions and seven canonical resting-state networks. Results WHO tumor grade and IDH mutation status were strong predictors of OS after recurrence (p<0.001). Overall FC between tumor regions and networks was highest in oligodendrogliomas and was inversely related to tumor grade (p=0.031). FC between the tumor region and the dorsal attention network was associated with longer OS (HR, 0.88; 95%CI, 0.80-0.97; p=0.007), and showed an independent association with OS (HR, 0.90; 95%CI, 0.81-0.99; p=0.033) in a model including clinical factors, tumor volume and MGMT. In the glioblastoma subgroup, tumor volume and FC between tumor and the visual network (HR, 0.90; 95%CI, 0.82-0.99, p=0.031) were independent predictors of survival. Conclusion Recurrent gliomas exhibit significant FC to resting-state networks of the brain. Besides tumor type and grade, high FC between the tumor and distinct networks could serve as independent prognostic factors for improved OS in these patients.

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• Page : pp.116785-116785
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Long COVID-19, also known as post-acute sequelae of SARS-CoV-2 infection (PASC), involves symptoms or effects that persist for more than 4 weeks after the initial SARS-CoV-2 infection. One contributing factor to this condition is the disruption in the expression of the antioxidant enzyme Nuclear Factor Erythroid-2 (Nrf2) induced by the COVID-19 infection. Apigenin and related flavonoids, known for their diverse pharmacological activities, including potent antioxidant properties, have emerged as promising candidates for Long COVID-19 therapy. These compounds, particularly apigenin, are recognized for their ability to modulate oxidative stress and inflammation, making them potential activators of the Nrf2 pathway. This study aims to predict the activity of apigenin and its related flavonoids as Nrf2 activators using molecular modeling and molecular dynamics (MD) techniques, providing insights into their therapeutic potential in managing Long COVID-19. The findings from the molecular modeling analysis indicate that apigenin has a favorable affinity, with a free energy value (ΔG) of −6.40 kcal/mol. Additionally, MD simulation results demonstrate the strong stability of the Keap1-apigenin complex, with an average Root Mean Square Deviation (RMSD) value below 0.20 nm and the lowest average Root Mean Square Fluctuation (RMSF) value of 0.86 nm. Using the Molecular Mechanics/Generalized Born Surface Area (MM-GBSA) calculation method, the binding affinity of the Keap1-apigenin complex yields a lower free energy value (ΔG) of −67.039 kJ/mol, consistent with the molecular modeling results. Apigenin also exhibits the ability to inhibit the binding of Nrf2 to the hydrophobic surface of Keap1, with a total energy value of 993.266 kcal/mol and binding affinity value of −1.162 kJ/mol through peptide−receptor docking. In conclusion, the comprehensive results suggest that apigenin has the potential to be a lead compound for developing Nrf2 activators specifically designed for Long COVID-19 therapy.

• Book : 15(3)
• Pub. Date : 2025
• Page : pp.1493-1493
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Recent studies have focused on how spinning black holes (BHs) within a binary system containing a strongly magnetized neutron star, then immersed in external magnetic fields, can acquire charge through mechanisms like the Wald process and how this charge could power pulsar-like electromagnetic radiation. Those objects called “Black hole pulsar” mimic the behaviour of a traditional pulsar, and they can generate electromagnetic fields, such as magnetic dipoles. Charged particles within an accretion disk around the black hole would then be influenced not only by the gravitational forces but also by electromagnetic forces, leading to different geometries and dynamics. In this context, we focus here on the interplay of the magnetic dipole and the accretion disk. We construct the equilibrium structures of non-conducting charged perfect fluids orbiting Kerr black holes under the influence of a dipole magnetic field aligned with the rotation axis of the BH. The dynamics of the accretion disk in such a system are shaped by a complex interplay between the non-uniform, non-Keplerian angular momentum distribution, the black hole’s induced magnetic dipole, and the fluid’s charge. We show how these factors jointly influence key properties of the disk, such as its geometry, aspect ratio, size, and rest mass density.

• Book : 11(2)
• Pub. Date : 2025
• Page : pp.45-45
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ABSTRACTObjectivesStage III non‐small cell lung cancer (NSCLC) treatment remains challenging, with a multitude of treatment options available. We assessed Stage IIIA NSCLC outcomes by treatment received.MethodsWe performed a single‐institution retrospective review of NSCLC patients with Stage IIIA disease treated January 01, 2010—March 01, 2022. Demographics, treatments, outcomes, and failure patterns were collected. Progression‐free survival (PFS) and overall survival (OS) were assessed using Kaplan–Meier analysis. Failure patterns were assessed for differences using chi‐square analysis.ResultsOf 270 Stage III NSCLC patients, 134 had Stage IIIA disease with a median follow‐up of 29.9 months and a median age of 66 years (IQR 60–75). 66 (49.3%) patients were male, and 105 (78.4%) were current/former smokers (with 30 median pack‐years). Patients were treated with definitive radiation with/without chemotherapy (CRT; n = 77, 57.5%), surgery with neoadjuvant chemotherapy and/or radiation (Neoadj; n = 42, 31.3%), and surgery without neoadjuvant therapy (Surg; n = 15, 11.2%). Median PFS was 25.4 months (95% CI 12.5–42.6) for CRT, 22.6 months (95% CI 12.2–44.4) for Neoadj, and 22.8 months (95% CI 5.2‐NA) for Surg with no significant intergroup difference (p = 0.99). Median OS was 57.0 months (95% CI 37.4–77.5) for CRT, 51.5 months (95% CI 36.7–65.5) for Neoadj, and 35.3 months (95% CI 16.8‐NR) for Surg with no significant intergroup difference (p = 0.99).ConclusionsIn this single institution retrospective study, we find no significant differences in PFS, OS, and failure patterns between patients with Stage IIIA NSCLC treated with definitive (chemo)radiation and surgery with or without neoadjuvant therapy. Further work in the immunotherapy era is needed.

• Book : 16(3)
• Pub. Date : 2025
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With the increasing utilization of renewable energy sources, hydrogen production from complementary wind and solar (HPCWS) systems has become a part of the construction of the integrated energy system (IES). However, renewable energy generation faces uncertainty; in addition, the IES lacks model representation. To solve this problem, this study proposes a carbon day-ahead optimal dispatch model for an integrated energy system with HPCWS and establishes carbon equations for conventional power generation and natural gas. The demand-side response of the IES is considered in conjunction with the objective functions of low-carbon operation and hydrogen storage gain maximization; furthermore, constraints are established to keep the dispatch results of the equipment within reasonable limits. Secondly, the scheduling model requires a faster and more accurate solution algorithm, so an improved particle swarm algorithm is proposed to solve the minimum of the objective function, and the superior convergence speed and accuracy of the algorithm are verified. The comparison of the IES before and after the introduction of HPCWS yields the changes in carbon emission values and hydrogen production before and after the optimization for the respective seasons and scenarios. In addition, the article also discusses the effect of season on the optimization results.

• Book : 6(1)
• Pub. Date : 2025
• Page : pp.8-8
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ABSTRACTEpstein–Barr virus (EBV) is the first human cancer‐causing viral pathogen to be discovered; it has been epidemiologically associated with a wide range of diseases, including cancers, autoimmunity, and hyperinflammatory disorders. Its evolutionary success is underpinned by coordinated expression of viral transcription factors (EBV nuclear antigens), signaling proteins (EBV latent membrane proteins), and noncoding RNAs, which orchestrate cell transformation, immune evasion, and dissemination. Each of those activities entails significant metabolic rewiring, which is achieved by viral subversion of key host metabolic regulators such as the mammalian target of rapamycin (mTOR), MYC, and hypoxia‐inducible factor (HIF). In this review, we systemically discuss how EBV‐encoded factors regulate metabolism to achieve viral persistence and propagation, as well as potential research questions and directions in EBV‐driven metabolism.

• Book : 97(2)
• Pub. Date : 2025
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