The short-term efficacy of neoadjuvant SOX versus SOX plus immune checkpoint inhibitor following laparoscopic gastrectomy for locally advanced gastric cancer: a multicenter retrospective cohort study in China.

BACKGROUND: This study aims to evaluate the short-term efficacy for locally advanced gastric cancer (LAGC) who accepted laparoscopic gastrectomy (LG) after neoadjuvant SOX versus SOX plus immune checkpoint inhibitors (ICIs). METHODS: LAGC patients who accepted LG after neoadjuvant SOX (SOX-LG, n = 169) and SOX plus ICIs (SOX + ICIs-LG, n = 140) in three medical centers between Jan 2020 and Mar 2024 were analyzed. We compared the tumor regression, treatment-related adverse events (TRAEs), perioperative safety between two groups, and explored the risk factors of postoperative complications (POCs) for LG after neoadjuvant therapy. RESULTS: The baseline characteristics were comparable between two groups (P > 0.05). SOX + ICIs-LG group acquired a higher proportion of objective response (63.6% vs. 46.7%, P = 0.003), major pathological response (43.6% vs. 31.4%, P = 0.001), and pathological complete response (17.9% vs. 9.5%, P = 0.030). There were no significant differences in the TRAEs rates, operation time, R0 resection, retrieved lymph nodes, postoperative first flatus, and hospitalized days, overall and severe POCs between two groups (P > 0.05). Patients in the SOX-ICIs-LG group had lower estimated blood loss (EBL) compared with SOX-LG (P = 0.001). Multivariate analysis showed that more EBL (P = 0.003) and prognostic nutritional index (PNI) < 40 (P = 0.005) were independent risk factors of POCs for LG after neoadjuvant therapy. CONCLUSION: Neoadjuvant SOX plus ICIs brings better tumor regression and similar TRAEs compared with SOX alone for LAGC. SOX + ICIs-LG is safe and feasible to conduct with less EBL. Surgeons should focus on the perioperative management to control POCs for patients with PNI < 40 and more EBL.

State Transitions and Crystalline Structures of Single Polyethylene Rings: MD Simulations.

This study investigates the structural changes of cyclic polyethylene (PE) single chains during cooling through molecular dynamics simulations. The influence of topological constraint on a ring is examined by comparing it with the results of its linear counterpart. A pseudo phase diagram of state transition for PE rings based on length and temperature is constructed, revealing a consistent chain-folding transition during cooling. The shape anisotropy of short crystallized cyclic chains exhibits oscillations with chain length, leading to a more pronounced odd-even effect in single cyclic chains compared with the linear ones. A honeycomb model is proposed to elucidate the odd-even effect of chain folding in crystalline structures of single linear and cyclic chains, and we discuss its potential to predict surface tension. Analyses of the tight folding model and the re-entry modes demonstrate that a cyclic chain possesses a shorter average crystalline stem length and a more compact folded structure than its linear counterpart. The findings highlight the impact of topological change on crystallization and the odd-even effect of chain length, providing valuable insights for understanding polymer crystallization with different topologies.

Flow Behavior of Entangled Polymer Nanoparticle Composites in a Nanotube: Insights into Jamming State.

Using molecular dynamics simulations, this study investigates the equilibrium properties and flow behaviors of entangled polymer nanoparticle composites (PNCs) within a nanotube. The results show that the density distribution of nanoparticles (NPs), displacement of polymer chains and NPs, and the moduli of PNCs remain relatively unaffected when NP volume fractions (ΦN) ≤0.10. However, the flow behavior of entangled PNCs deviates from the ideal parabolic profile seen in unentangled PNCs, displaying plug-like flow characteristics with a significant platform region, indicating the presence of shear bands. Interestingly, entangled PNCs at intermediate ΦN values undergo a significant alteration in NP distribution under steady flow, resulting in notable NP aggregation. At ΦN = 0.30, a distinct change in the static structure of PNCs occurs, reducing the equilibrium distance between neighboring NPs. Consequently, the motion of both polymer chains and NPs becomes restricted, leading to an increase in the moduli of PNCs resembling solid-like behavior. Additionally, the entangled PNCs experience a complete absence of flow, indicating the entry into a jamming state. This study contributes to the understanding of PNCs flow behavior and provides insights into fundamental aspects and practical implications of PNCs.

Cannabidiol Analogue CIAC001 for the Treatment of Morphine-Induced Addiction by Targeting PKM2.

Opioid addiction is a chronically relapsing disorder that causes critical public health problems. Currently, there is a lack of effective drug treatment. Herein, one cannabidiol derivative, CIAC001, was discovered as an effective agent for treating morphine-induced addiction. In vitro, CIAC001 exhibited significantly improved anti-neuroinflammatory activity with lower toxicity. In vivo, CIAC001 ameliorated the morphine-induced withdrawal reaction, behavioral sensitization, and conditional position preference by inhibiting morphine-induced microglia activation and neuroinflammation. Target fishing for CIAC001 by activity-based protein profiling led to the identification of pyruvate kinase M2 (PKM2) as the target protein. CIAC001 bound to the protein-protein interface of the PKM2 dimer and promoted the tetramerization of PKM2. Moreover, CIAC001 exhibited an anti-neuroinflammatory effect by reversing the decrease of the PKM2 tetramer and inhibiting the nuclear translocation of PKM2. In summary, this study identified CIAC001 as a lead compound in targeting PKM2 to treat morphine-induced addiction.

Cannabidivarin alleviates α-synuclein aggregation via DAF-16 in Caenorhabditis elegans.

Cannabidivarin (CBDV), a structural analog of cannabidiol (CBD), has received attention in recent years owing to its anticonvulsant property and potential for treating autism spectrum disorder. However, the function and mechanism of CBDV involved in the progression of Parkinson's disease (PD) remain unclear. In this work, we found that CBDV inhibited α-synuclein (α-syn) aggregation in an established transgenetic Caenorhabditis elegans (C. elegans). The phenolic hydroxyl groups of CBDV are critical for scavenging reactive oxygen species (ROS), reducing the in vivo aggregation of α-syn and preventing DAergic neurons from 6-hydroxydopamine (6-OHDA)-induced injury and degeneration. By combining multiple biophysical approaches, including nuclear magnetic resonance spectrometry, transmission electron microscopy and fibrillation kinetics assays, we confirmed that CBDV does not directly interact with α-syn or inhibit the formation of α-syn fibrils in vitro. Further cellular signaling investigation showed that the ability of CBDV to prevent oxidative stress, the accumulation of α-syn and the degeneration of DAergic neurons was mediated by DAF-16 in the worms. This study demonstrates that CBDV alleviates the aggregation of α-syn in vivo and reveals that the phenolic hydroxyl groups of CBDV are critical for this activity, providing a potential for the development of CBDV as a drug candidate for PD therapeutics.

High-Performance Flexible Sulfur Cathodes with Robust Electrode Skeletons Built by a Hierarchical Self-Assembling Slurry.

The electrochemical performance of lithium-sulfur batteries is fundamentally determined by the structural and mechanical stability of their composite sulfur cathodes. However, the development of cost-effective strategies for realizing robust hierarchical composite electrode structures remains highly challenging due to uncontrollable interactions among the components. The present work addresses this issue by proposing a type of self-assembling electrode slurry based on a well-designed two-component (polyacrylonitrile and polyvinylpyrrolidone) polar binder system with carbon nanotubes that forms hierarchical porous structures via optimized water-vapor-induced phase separation. The electrode skeleton is a highly robust and flexible electron-conductive network, and the porous structure provides hierarchical ion-transport channels with strong polysulfide trapping capability. Composite sulfur cathodes prepared with a sulfur loading of 4.53 mg cm-2 realize a very stable specific capacity of 485 mAh g-1 at a current density of 3.74 mA cm-2 after 1000 cycles. Meanwhile, a composite sulfur cathode with a high sulfur loading of 14.5 mg cm-2 in a lithium-sulfur pouch cell provides good flexibility and delivers a high capacity of 600 mAh g-1 at a current density of 0.72 mA cm-2 for 78 cycles.

Self-Healing and Shape-Editable Wearable Supercapacitors Based on Highly Stretchable Hydrogel Electrolytes.

Shape editability combined with a self-healing capability and long-term cycling durability are highly desirable properties for wearable supercapacitors. Most wearable supercapacitors have rigid architecture and lack the capacity for editability into desirable shapes. Through sandwiching hydrogel electrolytes between two electrodes, a suite of wearable supercapacitors that integrate desirable properties namely: repeated shape editability, excellent self-healing capability, and long-term cycling durability is demonstrated. A strategy is proposed to enhance the long-term cycling durability by utilizing hydrogel electrolytes with unique cross-linking structures. The dynamic crosslinking sites are formed by quadruple H bonds and hydrophobic association, stabilizing the supercapacitors from inorganic ion disruption during charge-discharge processes. The fabricated supercapacitors result in the capacitance retention rates of 99.6% and 95.8% after 5000 and 10 000 charge-discharge cycles, respectively, which are much higher than others reported in the literature. Furthermore, the supercapacitor sheets can be repeatedly processed into various shapes without any capacitance loss. The supercapacitors exhibit a 95% capacitance retention rate after five cutting/self-healing cycles, indicative of their excellent self-healing performance. To demonstrate real-life applicability, the wearable supercapacitors are successfully used to power a light-emitting diode and an electronic watch.

The Influence of Thermal Treatments on Anchor Effect in NMT Products.

The anchor effect in nanomolding technology (NMT) refers to the effect that polymer nanorods in nanopores on metal surfaces act as anchors to firmly bond the outside polymer components onto the metal surface. In this work, the influences of thermal treatments on the anchor effect are studied at microscopic level from the perspective of interfacial interaction by a model system (poly(n-butyl methacrylate) (PBMA) and alumina nanopore composite). The differential scanning calorimeter and fluorescence results indicate that the formation of a dense polymer layer in close contact with the pore walls after proper thermal treatments is the key for a strong interfacial interaction. Such polymer layers were formed in NMT products composed of PBMA and aluminum after slow cooling or annealing, with an up to eighteen-fold improvement of the interfacial bonding strength. The polymer chains near the nanopore walls eliminate the thermal stress induced by the mismatch of thermal expansion coefficients through relaxation over time and remain in close proximity with the pore walls during the cooling process of nanomolding. The above dynamic behaviors of the polymer chains ensure the formation of stable interfacial interaction, and then lead to the formation of the anchor effect.

Local-Average Free Volume Correlates with Dynamics in Glass Formers.

Glass formers exhibit a pronounced slowdown in dynamics, accompanied by progressive heterogeneity as they approach the glass transition. There is intense debate over whether the dramatic slowdown is caused by dynamical heterogeneity and whether the enhanced dynamical heterogeneity originates from structural causes. However, the connection between dynamical heterogeneity and the spatial distribution of the single-particle free volume (a purely static structural quantity) was found to be rather weak, which raises the question of whether dynamic heterogeneity has a purely structural origin. Here, by introducing the concept of local-average free volume, we present numerical evidence that long-time dynamic heterogeneity shows significantly enhanced correlation with the average local free volume over a length scale of a few neighboring shells. Our results resolve the long-standing controversy about whether free volume plays an important role in particle rearrangements associated with the activated hopping relaxation. The concept of "local average" can be applied to other local structural descriptors to better correlate with dynamic heterogeneity in glass-forming liquids.

Molecular dynamic simulation: Study on the recognition mechanism of linear ß-(1 → 3)-D-glucan by Dectin-1.

By combining molecular dynamic (MD) simulation and docking techniques, we systematically investigated the recognition between linear ß-(1 â†’ 3)-glucan (bglc) and Dectin-1. The binding structure exhibits apparent endo-type recognition between the C-type lectin-like domain (CTLD) groove formed by Trp221, His223, Tyr228, as well as other residues around them, and the conformational patterns of triple-helix bglc. Trp221, His223, and Tyr228 play an important role in stabilizing the recognition complex through forming a simple but fixed hydrogen bond network with the C6 and C4 hydroxyls. This recognition mode shows a clear preference on the relative direction of the triple-helix bglc with respect to the CTLD groove. Moreover, this recognition mode is not influenced by chain length, except when reaching the lower limit that may destabilize triple-helix formation. Double-helix and single-helix structures lead to unstable recognition, because they abandon the ordered packing pattern in triple-helix and present more flexible chain conformations.

Cannabidiol protects against Alzheimer's disease in C. elegans via ROS scavenging activity of its phenolic hydroxyl groups.

Recent discoveries have implicated the potential of Cannabidiol (CBD) in the prevention of Alzheimer's disease (AD). However, how CBD affects such neurodegenerative disorders remains unclear. Herein, Caenorhabditis elegans (C. elegans) was used as the model organism to elucidate the mechanism by which CBD ameliorates AD in vivo. CBD was found to alleviate the progression of Aß-induced AD but not tau protein-induced AD or α-syn-induced Parkinson's disease. CBD inhibited the aggregation of Aß in C. elegans. However, CBD failed to prevent the formation of ß-sheet aggregation in vitro. Moreover, CBD was found to scavenge reactive oxygen species (ROS) in vivo without inducing the overexpression of antioxidative genes. In addition, CBD treatment enhanced the worm resistance to oxidative stress, which was independent of the classical transcription factors DAF-16 and SKN-1. These results supported that the in vivo antioxidative activity of CBD was most likely due to its intrinsic antioxidative property. Furthermore, the phenolic hydroxyl groups of CBD were found to be critical for scavenging ROS in vitro and in vivo, alleviating the aggregation of Aß in vivo, and ameliorating Aß-associated neurotoxicity. These studies show that CBD protects against AD in C. elegans via the ROS scavenging activity of its phenolic hydroxyl groups, which provides insight for further structure-activity relationship studies of CBD as an AD therapeutic.

State Transitions and Crystalline Structures of a Single Polyethylene Chain: MD Simulations.

The structures of a single polyethylene chain were investigated using all-atom molecular dynamics simulations with a series of cutoff distances. We found that a long single chain with a short cutoff distance undergoes coil, globule, and crystal states during a continuous cooling process. The globule state vanishes for short chains less than a certain length where there is large conformational fluctuation. A tight-folding model was applied to analyze the folded structures, and the re-entry modes show that a shorter chain prefers the nearest folding while a longer one prefers the second or third nearest folding. Our results show that a single polyethylene chain can exhibit condensed phenomena of state transitions, which could be heuristic for single-chain physics and polymer crystallization.

Polymer Translocation Time.

The force- and flow-induced translocation processes of linear and ring polymers are studied using a combination of multiparticle collision dynamics and molecular dynamics, focusing on the behavior of the polymer translocation time. We compare the force- and flow-induced translocations of linear and ring polymers. It is found that when the translocation time (τ*) is characterized by scaling exponents, δ, δ', and α, via the relations τ* ∼ fδNα and τ* ∼ Jδ'Nα, the scaling exponents are not constants. For long chains tested, α = 1.0 for both force- and flow-induced translocations. The difference between the force- and flow-induced translocations stems from different monomer crowding effects due to distinct flow patterns outside the channel. Furthermore, general relations for polymer translocation time are derived for these two translocation processes, which are in good agreement with the simulation results. Our results provide clear molecular pictures for the force- and flow-induced translocations, which shed light on the understanding of translocation dynamics and provide guidance for practical applications such as molecular sequencing and ultrafiltration.

Tracking of Nanoparticle Diffusion at a Liquid-Liquid Interface Adsorbed by Nonionic Surfactants.

Emulsions stabilized by both nanoparticles and surfactants often display longer shelf life than those stabilized by nanoparticles or surfactants alone. Although numerous works have been conducted to understand the effect of nanoparticles and surfactants on the variation of interfacial tension, little is known about interfacial diffusion when both nanoparticles and surfactants are present at interfaces. In this work, we used single-particle fluorescence tracking to study the lateral diffusion of individual hydrophobic nanoparticles at hexane-glycerol interfaces adsorbed by different amounts of nonionic surfactants. When the surfactant concentration is over a threshold, we found that the nanoparticle diffusion exhibits a two-regime behavior involving short-time Brownian and the emergence of subdiffusive, non-Gaussian, and dynamically anticorrelated diffusion in the long lag time regime. A stepwise analysis rationalized diffusion in different lag time regimes, leading to a mechanistic interpretation regarding the two-regime behavior. These results could provide insight into the understanding of the synergistic effect for the surfactant-assistant Pickering emulsion.

Cannabidiol-dihydroartemisinin conjugates for ameliorating neuroinflammation with reduced cytotoxicity.

Cannabidiol (CBD) and dihydroartemisinin (DHA) can alleviate neuroinflammatory responses. However, they show cytotoxicity, which severely limits their therapeutic windows. Therefore, there is a great need to develop neuroprotective agents with improved safety. Drug-drug conjugate is an emerging approach for enhancing therapeutic index. Herein, the development, synthesis, and the pharmacological characterization of CBD-DHA conjugates were performed. Meanwhile, the combination of CBD and DHA as separate entities was also quantitatively analyzed for direct comparison with CBD-DHA conjugates. In this study, BV-2 microglial cell line was used to mimic primary microglia and the effects of CBD, DHA, the combination of CBD and DHA, as well as CBD-DHA conjugates on LPS-activated signaling molecules and pro-inflammatory factors were assessed. The interaction of CBD and DHA in inhibiting LPS-induced nitric oxide (NO) production was found to be additive. In contrast, DHA was found to synergize with CBD in inhibiting BV-2 cellular viability which implies that the combination of CBD and DHA amplifies their cytotoxicity. CBD-DHA conjugate C3D eliminated the cytotoxicity associated with single CBD/DHA use without significantly compromising the anti-neuroinflammation activity. C3D was more potent than C2D and C4D in inhibiting LPS-induced NO and mRNAs of iNOS and IL-1ß, which implies that the linker length is critical for CBD-DHA conjugates' anti-inflammatory activities. Further signaling characterizations showed that C3D inhibited LPS-induced NF-κB but not MAPKs activation in BV-2 cells, therefore blocking LPS-induced neuroinflammation. This work provides a good example that conjugated drug-drug approach may improve the therapeutic index by increasing the maximum tolerated concentration/dose compared to traditional combination strategy.

Salt-Induced Liquid-Liquid Phase Separation: Combined Experimental and Theoretical Investigation of Water-Acetonitrile-Salt Mixtures.

Salt-induced liquid-liquid phase separation in liquid mixtures is a common phenomenon in nature and in various applications, such as in separation and extraction of chemicals. Here, we present results of a systematic investigation of the phase behaviors in water-acetonitrile-salt mixtures using a combination of experiment and theory. We obtain complete ternary phase diagrams for nine representative salts in water-acetonitrile mixtures by cloud point and component analysis. We construct a thermodynamic free energy model by accounting for the nonideal mixing of the liquids, ion hydration, electrostatic interactions, and Born energy. Our theory yields phase diagrams in good agreement with the experimental data. By comparing the contributions due to the electrostatic interaction, Born energy, and hydration, we find that hydration is the main driving force for the liquid-liquid separation and is a major contributor to the specific ion effects. Our theory highlights the important role of entropy in the hydration driving force. We discuss the implications of our findings in the context of salting-out assisted liquid-liquid extraction and make suggestions for selecting salt ions to optimize the separation performance.

Shear Banding in Entangled Polymers: Stress Plateau, Banding Location, and Lever Rule.

Using molecular dynamics simulation, we study shear banding of entangled polymer melts under a steady shear. The steady shear stress vs shear rate curve exhibits a plateau spanning nearly two decades of shear rates in which shear banding is observed, and the steady shear stress remains unchanged after switching the shear rates halfway in the range of shear rates within the plateau region. In addition, we find strong correlation in the location of the shear bands between different shear rates starting from the same microstate configurations at equilibrium, which suggests the importance of the inherent structural heterogeneity in the entangled polymer network for shear banding. Furthermore, for the steady shear bands persisting to the longest simulated time of 9.0τd0 (disengagement time), the shear rate in the slow band and the relative proportion of the bands do not change very much with the increase of imposed shear rate, but the shear rate in the fast band increases approximately in proportion to the imposed shear rates, in contradiction to the lever rule.

Pathway of orientational symmetry breaking in crystallization of short n-alkane droplets: A molecular dynamics study.

We carry out molecular dynamics simulations by using an all-atom model to study the nucleation and crystallization of n-alkane droplets under three-dimensional and quasi-two-dimensional conditions. We focus on the development of orientational order of chains from a random state to a neatly ordered one. Two new methods, the map of symmetry breaking and the information entropy of chain orientations, are introduced to characterize the emerge and remelting phenomena of a primary nucleus at the early stage of crystallization. Stepwise nucleation, as well as the surface induced nucleation, of large droplets is observed. We elucidate the kinetic process of the formation of a primary nucleus and the rearrangement of every single molecule involved in a primary nucleus. We found that density fluctuation and orientational preordering are coupled together and occur simultaneously in nucleation. Our results show the pathway of orientational symmetry breaking in the crystallization of n-alkane droplets that are heuristic for the deeper understanding of the crystallization in more complex molecules such as polymers.

Exploring the Toxicology of Depleted Uranium with Caenorhabditis elegans.

Depleted uranium (DU) is an emerging heavy metal pollutant with considerable environmental and occupational concerns. Its radiotoxicity is known to be low. However, its chemical toxicity should not be ignored. In order to explore the chemical toxicity of DU, the effects of uranyl nitrate, prepared from DU, on the model organism Caenorhabditis elegans were investigated. Chronic exposure to DU did not affect the lifespan or reproduction of the worm. DU had little effect on the physiological processes of C. elegans. Additionally, DU treatment did not make C. elegans more susceptible to UV, heat, or oxidative stress. Interestingly, chronic exposure of DU decreased the in vivo reactive oxygen species-scavenging ability through inhibiting the expression of antioxidant genes ctl-1, ctl-2, ctl-3, gst-7, and gst-10. Chronic but not acute exposure of DU induced a statistically significant degeneration of the dopaminergic (DAergic) neurons of treated worms and promoted the increase of α-synuclein aggregation and DAergic neurotoxicity. These findings may raise the public concerns regarding DU as an etiologic agent of Parkinson's disease and underline its potential neurotoxicity.