Explore the vast range of titles available.

There is a wide variety of kinds of lipids, and complex structures which determine the diversity and complexity of their functions. With the basic characteristic of water insolubility, lipid molecules are independent of the genetic information composed by genes to proteins, which determine the particularity of lipids in the human body, with water as the basic environment and genes to proteins as the genetic system. In this review, we have summarized the current landscape on hormone regulation of lipid metabolism. After the well-studied PI3K-AKT pathway, insulin affects fat synthesis by controlling the activity and production of various transcription factors. New mechanisms of thyroid hormone regulation are discussed, receptor α and β may mediate different procedures, the effect of thyroid hormone on mitochondria provides a new insight for hormones regulating lipid metabolism. Physiological concentration of adrenaline induces the expression of extrapituitary prolactin in adipose tissue macrophages, which promotes fat weight loss. Manipulation of hormonal action has the potential to offer a new therapeutic horizon for the global burden of obesity and its associated complications such as morbidity and mortality.

Magnon–polaritons are hybrid light–matter quasiparticles originating from the strong coupling between magnons and photons. They have emerged as a potential candidate for implementing quantum transducers and memories. Owing to the dampings of both photons and magnons, the polaritons have limited lifetimes. However, stationary magnon–polariton states can be reached by a dynamical balance between pumping and losses, so the intrinsically nonequilibrium system may be described by a non-Hermitian Hamiltonian. Here we design a tunable cavity quantum electrodynamics system with a small ferromagnetic sphere in a microwave cavity and engineer the dissipations of photons and magnons to create cavity magnon–polaritons which have non-Hermitian spectral degeneracies. By tuning the magnon–photon coupling strength, we observe the polaritonic coherent perfect absorption and demonstrate the phase transition at the exceptional point. Our experiment offers a novel macroscopic quantum platform to explore the non-Hermitian physics of the cavity magnon–polaritons. Strong coupling between magnons and photons allows coupling of magnongs to qubits, suggesting that magnon-polaritons could find applications in quantum information. Here, Zhang et al. observe an exceptional point and spontaneous symmetry breaking in a cavity magnon-polariton system.

Hepatocellular carcinoma (HCC) is one of the most lethal cancer types with insufficient approved therapies, among which lenvatinib is a newly approved multi‐targeted tyrosine kinase inhibitor for frontline advanced HCC treatment. However, resistance to lenvatinib has been reported in HCC treatment recently, which limits the clinical benefits of lenvatinib. This study aims to investigate the underlying mechanism of lenvatinib resistance and explore the potential drug to improve the treatment for lenvatinib‐resistant (LR) HCC. Here, we developed two human LR HCC cell lines by culturing with long‐term exposure to lenvatinib. Results showed that the vascular endothelial growth factor receptors (VEGFR)2 expression and its downstream RAS/MEK/ERK signalling were obviously up‐regulated in LR HCC cells, whereas the expression of VEGFR1, VEGFR3, FGFR1‐4 and PDGFRα/β showed no difference. Furthermore, ETS‐1 was identified to be responsible for VEGFR2 mediated lenvatinib resistance. The cell models were further used to explore the potential strategies for restoration of sensitivity of lenvatinib. Sophoridine, an alkaloid extraction, inhibited the proliferation, colony formation, cell migration and increased apoptosis of LR HCC cells. In vivo and in vitro results showed Sophoridine could further sensitize the therapeutic of lenvatinib against LR HCC. Mechanism studies revealed that Sophoridine decreased ETS‐1 expression to down‐regulate VEGFR2 expression along with downstream RAS/MEK/ERK axis in LR HCC cells. Hence, our study revealed that up‐regulated VEGFR2 expression could be a predicator of the resistance of lenvatinib treatment against HCC and provided a potential candidate to restore the sensitivity of lenvatinib for HCC treatment.

PD-1/PD-L1 blockade therapy is a promising cancer treatment strategy, which has revolutionized the treatment landscape of malignancies. Over the last decade, PD-1/PD-L1 blockade therapy has been trialed in a broad range of malignancies and achieved clinical success. Despite the potentially cure-like survival benefit, only a minority of patients are estimated to experience a positive response to PD-1/PD-L1 blockade therapy, and the primary or acquired resistance might eventually lead to cancer progression in patients with clinical responses. Accordingly, the resistance to PD-1/PD-L1 blockade remains a significant challenge hindering its further application. To overcome the limitation in therapy resistance, substantial effort has been made to improve or develop novel anti-PD-1/PD-L1 based immunotherapy strategies with better clinical response and reduced immune-mediated toxicity. In this review, we provide an overview on the resistance to PD-1/PD-L1 blockade and briefly introduce the mechanisms underlying therapy resistance. Moreover, we summarize potential predictive factors for the resistance to PD-1/PD-L1 blockade. Furthermore, we give an insight into the possible solutions to improve efficacy and clinical response. In the following research, combined efforts of basic researchers and clinicians are required to address the limitation of therapy resistance.

Manipulating vector beams is pivotal in fields such as particle manipulation, image processing, and quantum communication. Flexibly adjusting the intensity distribution of these beams is crucial for effectively realizing these applications. This study introduces a vectorial dual‐beam system utilizing thermal atoms as the medium for modulating the intensity profile of vector beams. A single metasurface is employed to generate both the control and signal vector beams, each with unique vectorial characteristics. The shaping of the signal beam profile is facilitated by the interaction with thermal atoms, which can be controlled by adjusting the control vector beam. This spatially selective absorption is a result of the thermal atoms' response to the varying polarizations within the vector beams. In this experiment, two distinct metasurface chips are fabricated to generate vector beams with doughnut‐shaped and Gaussian‐shaped intensity profiles. By adjusting the incident power and polarization state of the control light, the doughnut‐shaped signal beams can be converted into a rotational dual‐lobed pattern or the dimensions of the Gaussian‐distributed signal beams can be modified. This study introduces a novel vector beam shaping technique by integrating metasurfaces with thermal atoms, offering significant promise for future applications requiring miniaturization, dynamic operation, and versatile control capabilities. A vectorial dual‐beam system, comprising control and signal beams generated by a single metasurface chip and combined with thermal atoms, offers an innovative method for facilitating intensity clipping. By adjusting the incident power and polarization state of the control light, the intensity distribution of the signal beams can be significantly modulated.

Limited intensity and duration of high-intensity focused ultrasound (HIFU)-induced immune response largely hinder postoperative immunotherapy due to low immunogenicity and immunosuppression of tumor microenvironment (TME). In this study, effect-specific metal-organic frameworks (MOFs) were designed based on the severe hypoxia of postoperative tumors through regulating TME to enhance body’s antitumor immune response. The combination of iron ions, hypoxic-activated prodrug banoxantrone, and indoleamine 2,3-dioxygenase (IDO) signaling pathway inhibitor NLG919 is utilized to construct MOFs loaded with CaCO 3 , which achieves intraoperative monitoring via photoacoustic imaging for precise ablation of tumors. Ingeniously, banoxantrone, within the severely hypoxic environment of tumors induced by HIFU, is activated in the manner of converting enemies into friends and cooperates with iron ions to effectively trigger immunogenic cell death (ICD) in tumors. In addition, the immunosuppressive microenvironment exacerbated by postoperative hypoxia is degraded via the cooperation of NLG919, which blocks the IDO-1 signaling pathway and CaCO 3 , which consumes lactic acid. Based on these improvements, well-designed MOFs effectively inhibit bilateral tumor growth/metastasis and offer a successful paradigm for improving the overall prognosis of HIFU. Graphical Abstract

Although the clinical application of nanoparticles is still limited by biological barriers and distribution, with the deepening of our understanding of nanoparticles over the past decades, people are gradually breaking through the previous limitations in the diagnosis and treatment of tumors, providing novel strategies for clinical decision makers. The transition of nanoparticles from passive targeting to active tumor-targeting by abundant surface-modified nanoparticles is also a development process of precision cancer treatment. Different particles can be used as targeted delivery tools of antitumor drugs. The mechanism of gold nanoparticles inducing apoptosis and cycle arrest of tumor cells has been discovered. Moreover, the unique photothermal effect of gold nanoparticles may be widely used in tumor therapy in the future, with less side effects on surrounding tissues. Lipid-based nanoparticles are expected to overcome the blood–brain barrier due to their special characteristics, while polymer-based nanoparticles show better biocompatibility and lower toxicity. In this paper, we discuss the development of nanoparticles in tumor therapy and the challenges that need to be addressed.

To investigate the effectiveness and safety of using the Ensite NavX three-dimensional (3D) mapping system during Radiofrequency catheter ablation (RFCA) of left accessory pathway (AP) disorders. A total of 227 patients having their left AP treated by RFCA, were classified into study group (n = 112) and the control group (n = 115). X-ray irradiation time and exposure doses during the course of the operations were recorded. Time taken to place the mapping catheter along with total duration of operations and procedural complications were compared. The X-ray irradiation time and exposure doses in the course of manipulating the ablation catheters were significantly lower in the study group compared to control (5.1 ± 2.3 min vs. 13.1 ± 3.1 min; P < 0.05 and 5.7 ± 2.6 mGy vs. 17.8 ± 4.3 mGy; P < 0.05, respectively). The total duration of operation was also significantly shorter in the study group compared to control (53.1 ± 18.8 min vs. 62.3 ± 20.6 min; P < 0.05). No procedural complications were reported in both groups. The irradiation time and exposure dose along with total operation duration was significantly reduced when the Ensite NavX mapping system was used during RFCA in comparison with traditional X-ray fluoroscopy method.

The generation of optical vortex beams is pivotal for a myriad of applications, encompassing optical tweezing, optical communications, and quantum information, among others. The metasurface-based approach has realized significant advancements in vortex production, utilizing either dynamic or geometric phases. The dynamic design exhibits indifference to the polarization state of incident light, while the geometric design is inextricably tied to it. In the study, we put forth the proposition that combining dynamic and geometric phases could unlock the potential of metasurface design in generating optical vortices. A hybrid design that harnesses the combined dynamic and geometric phases can attain the same objective while offering tunable functional control over the polarization of light. We establish a correlation between the structural parameters of metasurface and the topological charge of the resulting vortices. The experimental results fully demonstrate the design’s flexibility and its effective control over the polarization constraints of incident light. Our research uncovers the capacity for vortex generation through the manipulation of hybrid phases introduced by metasurfaces, indicating significant potential for the design of optical devices and the future advancement of innovative optical applications.

ObjectivesThis study compared the accuracy of predicting transarterial chemoembolization (TACE) outcomes for hepatocellular carcinoma (HCC) patients in the four different classifiers, and comprehensive models were constructed to improve predictive performance.MethodsThe subjects recruited for this study were HCC patients who had received TACE treatment from April 2016 to June 2021. All participants underwent enhanced MRI scans before and after intervention, and pertinent clinical information was collected. Registry data for the 144 patients were randomly assigned to training and test datasets. The robustness of the trained models was verified by another independent external validation set of 28 HCC patients. The following classifiers were employed in the radiomics experiment: machine learning classifiers k-nearest neighbor (KNN), support vector machine (SVM), the least absolute shrinkage and selection operator (Lasso), and deep learning classifier deep neural network (DNN).ResultsDNN and Lasso models were comparable in the training set, while DNN performed better in the test set and the external validation set. The CD model (Clinical & DNN merged model) achieved an AUC of 0.974 (95% CI: 0.951–0.998) in the training set, superior to other models whose AUCs varied from 0.637 to 0.943 (p < 0.05). The CD model generalized well on the test set (AUC = 0.831) and external validation set (AUC = 0.735).ConclusionsDNN model performs better than other classifiers in predicting TACE response. Integrating with clinically significant factors, the CD model may be valuable in pre-treatment counseling of HCC patients who may benefit the most from TACE intervention.Key pointsDNN and LASSO models performed better than other classifiers in TACE response prediction.CD model achieved an AUC of 0.974 in the training set, superior to other comprehensive models.CD model may serve as a potential tool for the selection of suitable TACE candidates.