Planar cell polarity proteins mediate ketamine-induced restoration of glutamatergic synapses in prefrontal cortical neurons in a mouse model for chronic stress.

Single administration of low-dose ketamine has both acute and sustained anti-depressant effects. Sustained effect is associated with restoration of glutamatergic synapses in medial prefrontal cortic (mFPC) neurons. Ketamine induced profound changes in a number of molecular pathways in a mouse model for chronic stress. Cell-cell communication analyses predicted that planar-cell-polarity (PCP) signaling was decreased after chronic administration of corticosterone but increased following ketamine administration in most of the excitatory neurons. Similar decrease of PCP signaling in excitatory neurons was predicted in dorsolateral prefrontal cortical (dl-PFC) neurons of patients with major depressive disorder (MDD). We showed that the basolateral amygdala (BLA)-projecting infralimbic prefrontal cortex (IL PFC) neurons regulate immobility time in the tail suspension test and food consumption. Conditionally knocking out Celsr2 and Celsr3 or Prickle2 in the BLA-projecting IL PFC neurons abolished ketamine-induced synapse restoration and behavioral remission. Therefore, PCP proteins in IL PFC-BLA neurons mediate synapse restoration induced by of low-dose ketamine.

Association between perceived stress, loneliness and sleep disorders among breast cancer patients: the moderating roles of resilience.

Sleep disorders are prevalent and often neglected among breast cancer patients. This study aimed to identify the association among perceived stress, loneliness, resilience and sleep disorders and to further explore whether resilience could be a moderator in the association between them and sleep disorders. A cross-sectional study was conducted by 492 female breast cancer patients. Patients were asked in response to the questionnaires including the Pittsburgh Sleep Quality Index, Perceived Stress Scale-10, the Three-Item Loneliness Scale and Resilience Scale-14. The association among perceived stress, loneliness, resilience and perceived stress/loneliness × resilience interaction with sleep disorders were examined by hierarchical multiple regression analysis. The interaction was visualized by using simple slope analysis. 36.58% of the female breast cancer patients reported sleep disorders in our study. Perceived stress and loneliness were related to sleep disorders. Resilience could moderate the relationship between them and sleep disorders. When resilience was higher, perceived stress and loneliness had a weaker impact on sleep disorders. Medical staff should systematically evaluate the internal environmental factors related to patients' sleep quality and help patients relieve their emotional distress caused by the disease through positive psychological guidance.

Inhibitory Effects of the Polyphenols from the Root of Rhizophora apiculata Blume on Fatty Acid Synthase Activity and Human Colon Cancer Cells.

Marine mangrove vegetation has been traditionally employed in folk medicine to address various ailments. Notably, Rhizophora apiculata Blume has exhibited noteworthy properties, demonstrating efficacy against cancer, viruses, and bacteria. The enzyme fatty acid synthase (FAS) plays a pivotal role in de novo fatty acid synthesis, making it a promising target for combating colon cancer. Our study focused on evaluating the FAS inhibitory effects of both the crude extract and three isolated compounds from R. apiculata. The n-butanol fraction of R. apiculata extract (BFR) demonstrated a significant inhibition of FAS, with an IC50 value of 93.0 µg/mL. For inhibition via lyoniresinol-3α-O-ß-rhamnopyranoside (LR), the corresponding IC50 value was 20.1 µg/mL (35.5 µM). LR competitively inhibited the FAS reaction with acetyl-CoA, noncompetitively with malonyl-CoA, and in a mixed manner with NADPH. Our results also suggest that both BFR and LR reversibly bind to the KR domain of FAS, hindering the reduction of saturated acyl groups in fatty acid synthesis. Furthermore, BFR and LR displayed time-dependent inhibition for FAS, with kobs values of 0.0045 min-1 and 0.026 min-1, respectively. LR also exhibited time-dependent inhibition on the KR domain, with a kobs value of 0.019 min-1. In human colon cancer cells, LR demonstrated the ability to reduce viability and inhibit intracellular FAS activity. Notably, the effects of LR on human colon cancer cells could be reversed with the end product of FAS-catalyzed chemical reactions, affirming the specificity of LR on FAS. These findings underscore the potential of BFR and LR as potent FAS inhibitors, presenting novel avenues for the treatment of human colon cancer.

Efficient broadband polarization retarder via shortcuts to adiabaticity.

The use of two-level atomic systems in quantum optics allows for the design of highly efficient and broadband achromatic retarders through the application of adiabatic passage and composite pulse techniques. In this work, we propose shortcuts to adiabaticity to improve broadband polarization retarders with shorter lengths. We achieve this by inversely engineering the relative refractive indices and further optimizing them with respect to the perturbation of input wavelength. Our results are compared with adiabatic and composite protocols, demonstrating that our method provides the advantage of integrating efficiency and robustness.

The moderating effect of self-efficacy between social constraints, social isolation, family environment, and depressive symptoms among breast cancer patients in China: a cross-sectional study.

BACKGROUND: For female breast cancer patients, the psychological status after surgery, especially the social and family psychological-related factors, deserves more attention. This study analyzed the influence of social constraints, social support, social isolation, family conflict, and family emotion expression on depression. At the same time, this study conducted the relationship between the variables and the mechanism of action. METHODS: We conducted a cross-sectional study and 522 breast cancer patients finished questionnaires consisting of Self-Rating Depression Scale (SDS), General Self-Efficacy Scale (GSES), Multi-Dimensional Scale of Perceived Social Support (MSPSS), Social Constraints Scale-5 (SCS-5), Family Environment Scale (FES), and Lubben Social Network Scale (LSNS-6). Multivariable logical regression was used to explore influencing factors. Pearson's correlation, hierarchical regression, and simple slope analysis were conducted to verify the role of self-efficacy. RESULTS: 71.6% of patients had depressive symptoms. Family contradiction (OR = 10.086), social constraints (OR = 2.522), social isolation (OR = 2.507), and high blood glucose (OR = 2.156) were risk factors of depressive symptoms. Family emotional expression (OR = 0.480), family intimacy (OR = 0.235), and self-efficacy (OR = 0.246) were protective factors against depressive symptoms. The interactive items interpretation quantity were as follows: Contradiction*Self-efficacy (ΔR2 = 2.3%, P < 0.001), Emotional expression*Self-efficacy (ΔR2 = 2.6%, P < 0.001), Intimacy*Self-efficacy (ΔR2 = 1.0%, P = 0.018), Social constraints*Self-efficacy (ΔR2 = 1.0%, P = 0.008), Social networks*Self-efficacy (ΔR2 = 1.0%, P = 0.010), Blood Glucose*Self-efficacy (ΔR2 = 0.6%, P = 0.023). The influence of independent variables on depressive symptoms was gradually decreased in the low, mean, and high groups of self-efficacy. CONCLUSION: Postoperative Chinese breast cancer survivors reported higher depressive symptoms. Social, family, and physiological factors could affect depressive symptoms, in which self-factor played moderator roles.

Hybrid approach for solving real-world bin packing problem instances using quantum annealers.

Efficient packing of items into bins is a common daily task. Known as Bin Packing Problem, it has been intensively studied in the field of artificial intelligence, thanks to the wide interest from industry and logistics. Since decades, many variants have been proposed, with the three-dimensional Bin Packing Problem as the closest one to real-world use cases. We introduce a hybrid quantum-classical framework for solving real-world three-dimensional Bin Packing Problems (Q4RealBPP), considering different realistic characteristics, such as1) package and bin dimensions, (2) overweight restrictions, (3) affinities among item categories and (4) preferences for item ordering. Q4RealBPP permits the solving of real-world oriented instances of 3 dBPP, contemplating restrictions well appreciated by industrial and logistics sectors.

Quantum neural networks with multi-qubit potentials.

We propose quantum neural networks that include multi-qubit interactions in the neural potential leading to a reduction of the network depth without losing approximative power. We show that the presence of multi-qubit potentials in the quantum perceptrons enables more efficient information processing tasks such as XOR gate implementation and prime numbers search, while it also provides a depth reduction to construct distinct entangling quantum gates like CNOT, Toffoli, and Fredkin. This simplification in the network architecture paves the way to address the connectivity challenge to scale up a quantum neural network while facilitating its training.

Towards Quantum Control with Advanced Quantum Computing: A Perspective.

We propose the combination of digital quantum simulation and variational quantum algorithms as an alternative approach to numerical methods for solving quantum control problems. As a hybrid quantum-classical framework, it provides an efficient simulation of quantum dynamics compared to classical algorithms, exploiting the previous achievements in digital quantum simulation. We analyze the trainability and the performance of such algorithms based on our preliminary works. We show that specific quantum control problems, e.g., finding the switching time for bang-bang control or the digital quantum annealing schedule, can already be studied in the noisy intermediate-scale quantum era. We foresee that these algorithms will contribute even more to quantum control of high precision if the hardware for experimental implementation is developed to the next level.

Robust electron spin qubit control in a nanowire double quantum dot.

Robust and efficient manipulation of electron spin qubits in quantum dots is of great significance for the reliable realization of quantum computers and execution of quantum algorithms. In this paper, we study the robust control on a singlet-triplet qubit based on inverse engineering, one technique of shortcuts to adiabaticity (STA), in a nanowire double quantum dot in the presence of magnetic field and strong spin-orbit coupling. The optimization of STA with respect to the systematic errors, contributed from the control field and the perturbative interaction, is explored. Moreover, we also apply optimal control techniques combining with STA, referred to as robust inverse optimization, to design optimal control fields and optimal operation time. This article is part of the theme issue 'Shortcuts to adiabaticity: theoretical, experimental and interdisciplinary perspectives'.

Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States.

Coherent states, known as displaced vacuum states, play an important role in quantum information processing, quantum machine learning, and quantum optics. In this article, two ways to digitally prepare coherent states in quantum circuits are introduced. First, we construct the displacement operator by decomposing it into Pauli matrices via ladder operators, i.e., creation and annihilation operators. The high fidelity of the digitally generated coherent states is verified compared with the Poissonian distribution in Fock space. Secondly, by using Variational Quantum Algorithms, we choose different ansatzes to generate coherent states. The quantum resources-such as numbers of quantum gates, layers and iterations-are analyzed for quantum circuit learning. The simulation results show that quantum circuit learning can provide high fidelity on learning coherent states by choosing appropriate ansatzes.

Mutation of the murine Prickle1 (R104Q) causes phenotypes analogous to human symptoms of epilepsy and autism.

Epilepsy and autism spectrum disorders (ASD) frequently show comorbidity, suggesting shared or overlapping neurobiological basis underlying these conditions. R104Q is the first mutation in the PRICKLE 1(PK1) gene that was discovered in human patients with progressive myoclonus epilepsy (PME). Subsequently, a number of mutations in the PK1 gene were shown to be associated with either epilepsy, autism, or both, as well as other developmental disorders. Using CRISPR-Cas9-mediated gene editing, we generated a PK1R104Q mouse line. The mutant mice showed reduced density of excitatory synapses in hippocampus and impaired interaction between PK1 and the repressor element 1(RE-1) silencing transcription factor (REST). They also displayed reduced seizure threshold, impaired social interaction, and cognitive functions. Taken together, the PK1R104Q mice display characteristic behavioral features similar to the key symptoms of epilepsy and ASD, providing a useful model for studying the molecular and neural circuit mechanisms underlying the comorbidity of epilepsy and ASD.

Prickle promotes the formation and maintenance of glutamatergic synapses by stabilizing the intercellular planar cell polarity complex.

Whether there exists a common signaling mechanism that assembles all glutamatergic synapses is unknown. We show here that knocking out Prickle1 and Prickle2 reduced the formation of the PSD-95­positive glutamatergic synapses in the hippocampus and medial prefrontal cortex in postnatal development by 70­80%. Prickle1 and Prickle2 double knockout in adulthood lead to the disassembly of 70 to 80% of the postsynaptic-density(PSD)-95­positive glutamatergic synapses. PSD-95­positive glutamatergic synapses in the hippocampus of Prickle2E8Q/E8Q mice were reduced by 50% at postnatal day 14. Prickle2 promotes synapse formation by antagonizing Vangl2 and stabilizing the intercellular complex of the planar cell polarity (PCP) components, whereas Prickle2 E8Q fails to do so. Coculture experiments show that the asymmetric PCP complexes can determine the presynaptic and postsynaptic polarity. In summary, the PCP components regulate the assembly and maintenance of a large number of glutamatergic synapses and specify the direction of synaptic transmission.

The effect of fear of progression on quality of life among breast cancer patients: the mediating role of social support.

BACKGROUND: Women with breast cancer are prone to have mental stress and be stimulated by the fear of progression (FOP), then giving rise to a lower quality of life (QOL). The study aimed to examine the relationships between FOP, social support and QOL, and further explore whether social support mediates the association between FOP and QOL among Chinese patients with breast cancer. METHODS: The cross-sectional study was conducted from October 2019 to May 2020 at Anshan Cancer Hospital in Liaoning, China. 244 female breast cancer patients completed questionnaires including the Functional Assessment of Cancer Therapy for Breast (FACT-B), Multi-Dimensional Scale of Perceived Social Support (MSPSS), and Fear of Progression (FOP). Hierarchical multiple regression analysis was performed to assess the associations between FOP, social support and QOL. Asymptotic and resampling strategies were used to explore the mediating role of social support. RESULTS: The mean QOL score was 90.6 ± 17.0 among the patients with breast cancer. FOP was negatively correlated with QOL, while social support was positively related to QOL. Social support partly mediated the association between FOP and QOL, and the proportion of the mediating effect accounted for by social support was 25%. CONCLUSIONS: Chinese breast cancer patients expressed low QOL. Social support could mediate the association between FOP and QOL. Medical staffs and cancer caregivers should alleviate patients' FOP to improve their QOL by facilitating social support.

Derived loss of signal complexity and plasticity in a genus of weakly electric fish.

Signal plasticity can maximize the usefulness of costly animal signals such as the electric organ discharges (EODs) of weakly electric fishes. Some species of the order Gymnotiformes rapidly alter their EOD amplitude and duration in response to circadian cues and social stimuli. How this plasticity is maintained across related species with different degrees of signal complexity is poorly understood. In one genus of weakly electric gymnotiform fish (Brachyhypopomus), only one species, B. bennetti, produces a monophasic signal while all other species emit complex biphasic or multiphasic EOD waveforms produced by two overlapping but asynchronous action potentials in each electric organ cell (electrocyte). One consequence of this signal complexity is the suppression of low-frequency signal content that is detectable by electroreceptive predators. In complex EODs, reduction of the EOD amplitude and duration during daytime inactivity can decrease both predation risk and the metabolic cost of EOD generation. We compared EOD plasticity and its underlying physiology in Brachyhypopomus focusing on B. bennetti. We found that B. bennetti exhibits minimal EOD plasticity, but that its electrocytes retained vestigial mechanisms of biphasic signaling and vestigial mechanisms for modulating the EOD amplitude. These results suggest that this species represents a transitional phenotypic state within a clade where signal complexity and plasticity were initially gained and then lost. Signal mimicry, mate recognition and sexual selection are potential factors maintaining the monophasic EOD phenotype in the face of detection by electroreceptive predators.

Speeding up quantum perceptron via shortcuts to adiabaticity.

The quantum perceptron is a fundamental building block for quantum machine learning. This is a multidisciplinary field that incorporates abilities of quantum computing, such as state superposition and entanglement, to classical machine learning schemes. Motivated by the techniques of shortcuts to adiabaticity, we propose a speed-up quantum perceptron where a control field on the perceptron is inversely engineered leading to a rapid nonlinear response with a sigmoid activation function. This results in faster overall perceptron performance compared to quasi-adiabatic protocols, as well as in enhanced robustness against imperfections in the controls.

Fast long-range charge transfer in quantum dot arrays.

Charge, spin and quantum states transfer in solid state devices is an important issue in quantum information. Adiabatic protocols, such as coherent transfer by adiabatic passage have been proposed for direct charge transfer, also denoted as long-range transfer, between the outer dots in a QD array without occupying the intermediate ones. However adiabatic protocols are prone to decoherence. With the aim of achieving direct charge transfer between the outer dots of a QD array with high fidelity, we propose a protocol to speed up the adiabatic transfer, in order to increase the fidelity of the process. Based on adiabaticity shortcuts, by properly engineering the pulses, fast adiabatic-like direct charge transfer between the outer dots can be obtained. We also discuss the impact of transfer fidelity on the operation time in the presence of dephasing. The proposed protocols for accelerating long-range charge and state transfer in a QD array offer a robust mechanism for quantum information transfer, by minimizing the decoherence and relaxation processes.

Fast creation and transfer of coherence in triple quantum dots by using shortcuts to adiabaticity.

Motivated by the progress on shortcuts to adiabaticity, we propose three schemes for speeding up (fractional) stimulated Raman adiabatic passage, and achieving rapid and non-adiabatic creation and transfer of maximal coherence in a triple-quantum-dot system. These different but relevant protocols, designed from counter-diabatic driving, dress-state method, and resonant technique, require their own pumping fields, applied gate voltages and varying tunneling couplings between two spatially separated dots. Such fast and reliable shortcuts not only allow for feasibly experimental realization in solid-state architectures but also may have potential applications in quantum information processing and quantum control.

Graphene-assisted resonant transmission and enhanced Goos-Hänchen shift in a frustrated total internal reflection configuration.

Graphene-assisted resonant transmission and enhanced Goos-Hänchen shift are investigated in a two-prism frustrated total internal reflection configuration. Due to the excitation of surface plasmons induced by graphene in a low terahertz frequency range, there exist the resonant transmission and anomalous Goos-Hänchen shifts in such an optical tunneling configuration. As compared to the case of the quantum well, a graphene sheet with unique optical properties can enhance the resonant transmission with a relatively low loss and modulate the large negative and positive Goos-Hänchen shifts by adjusting the chemical potential or electron relaxation time. These intriguing phenomena may lead to some potential applications in graphene-based electro-optic devices.

Energetics of Sensing and Communication in Electric Fish: A Blessing and a Curse in the Anthropocene?

Weakly electric freshwater fish use self-generated electric fields to image their worlds and communicate in the darkness of night and turbid waters. This active sensory/communication modality evolved independently in the freshwaters of South America and Africa, where hundreds of electric fish species are broadly and abundantly distributed. The adaptive advantages of the sensory capacity to forage and communicate in visually-unfavorable environments and outside the detection of visually-guided predators likely contributed to the broad success of these clades across a variety of Afrotropical and neotropical habitats. Here we consider the potentially high and limiting metabolic costs of the active sensory and communication signals that define the gymnotiform weakly electric fish of South America. Recent evidence from two well-studied species suggests that the metabolic costs of electrogenesis can be quite high, sometimes exceeding one-fourth of these fishes' daily energy budget. Supporting such an energetically expensive system has shaped a number of cellular, endocrine, and behavioral adaptations to restrain the metabolic costs of electrogenesis in general or in response to metabolic stress. Despite a suite of adaptations supporting electrogenesis, these weakly electric fish are vulnerable to metabolic stresses such as hypoxia and food restriction. In these conditions, fish reduce signal amplitude presumably as a function of absolute energy shortfall or as a proactive means to conserve energy. In either case, reducing signal amplitude compromises both sensory and communication performance. Such outcomes suggest that the higher metabolic cost of active sensing and communication in weakly electric fish compared with the sensory and communication systems in other neotropical fish might mean that weakly electric fish are disproportionately susceptible to harm from anthropogenic disturbances of neotropical aquatic habitats. Fully evaluating this possibility, however, will require broad comparative studies of metabolic energetics across the diverse clades of gymnotiform electric fish and in comparison to other nonelectric neotropical fishes.