All-in-one nanoflare biosensor combined with catalyzed hairpin assembly amplification for in situ and sensitive exosomal miRNA detection and cancer classification.

Exosomal miRNAs can reflect tumor progression and metastasis, and are effective biomarkers for cancer diagnosis. However, the accuracy of exosomal miRNA-based cancer diagnosis is limited by the low sensitivity and complicated RNA extraction of traditional approaches. Herein, a novel biosensor is developed for in situ, extraction-free, and highly sensitive analysis of exosomal miRNAs via nanoflare combined with catalyzed hairpin assembly (CHA) amplification. Without cumbersome and costly miRNA extraction or transfection agents, nanoflare can directly enter the exosomes to bind target miRNAs and generate a fluorescence signal that can be amplified by the CHA reaction to achieve the in situ and highly sensitive detection of exosomal miRNAs. Under the optimal conditions, the detection limit of 5 aM is obtained for three exosomal miRNAs, which is an order of magnitude lower than quantitative real time polymerase chain reaction (qRT-PCR). In combination with the linear discriminant analysis algorithm, five exosomes are distinguished with 100% accuracy. Importantly, five cancers including breast, lung, liver, cervical, and colon cancer from 64 patients are distinguished with 99% accuracy by testing exosomal miRNAs in clinical plasma. This simple, accurate, and sensitive biosensor holds the potential to be expanded into clinical non-invasive cancer diagnostic tests.

Elucidating the chemical interaction effects of herb pair Danshen-Chuanxiong and its anti-ischemic stroke activities evaluation.

ETHNOPHARMACOLOGICAL RELEVANCE: Salvia miltiorrhiza Bunge (Danshen) and Ligusticum chuanxiong Hort. (Chuanxiong) is the core herb pair in traditional Chinese medicines (TCMs) formulae for treating ischemic stroke. However, the synergistic effect of Danshen-Chuanxiong against anti-ischemic stroke and its compatibility mechanism remains unclear. AIM OF THE STUDY: This study aimed to uncover the compatibility mechanism of Danshen-Chuanxiong against ischemic stroke through chemical profiling, pharmacodynamics evaluation, network pharmacology and experimental validation. MATERIALS AND METHODS: Ultra-high performance liquid chromatography (UHPLC) combined with quadrupole time-of-flight tandem mass spectrometry (QTOF-MS) and UHPLC connected with tandem triple quadrupole mass spectrometry (QQQ-MS) were utilized to conduct the chemical interaction analysis. Then the synergistic effects of Danshen-Chuanxiong against ischemic stroke were comprehensively evaluated by the middle cerebral artery occlusion reperfusion (MCAO/R) mice model, zebrafish ischemic stroke model and glutamic acid-induced PC12 cells injury model. Afterwards, network pharmacology and molecular docking were applied to dissect the significant active compounds and potential mechanisms. Finally, the key target proteins were experimentally validated by Western blot. RESULTS: 83 compounds were characterized in Danshen-Chuanxiong by UHPLC-QTOF-MS analysis, and 4 compounds were tentatively identified for the first time. The quantification results (24 accurately identified compounds) in 13 proportions of Danshen-Chuanxiong revealed that Danshen significantly increased the dissolution of most phthalides (from Chuanxiong), while Chuanxiong facilitated the dissolution of most phenolic acids (from Danshen) in solution. The anti-ischemic stroke effects of Danshen-Chuanxiong were significantly better than Danshen or Chuanxiong in attenuating infarct size, reducing brain edema and neurological scores in MCAO/R mice. Also, compared with single herbs, this herb pair exerted better effects of suppressing the incidence of cerebral thrombosis in zebrafish, and increasing the cell viability of glutamic acid-induced PC12 cells. In network pharmacology, 7 effective compounds (rosmarinic acid, chlorogenic acid, salvianolic acid B, (Z)-ligustilide, ferulic acid, caffeic acid, tanshinone IIA) and 5 hub targets (AKT, TNF-α, IL-1ß, CASP3 and BCL2) as well as 4 key pathways were predicted. Western blot results showed that Danshen-Chuanxiong exert therapeutic effects mainly through decreasing the protein expressions of TNF-α, IL-1ß and Cleaved-CASP3, elevating the levels of p-AKT and BCL2. CONCLUSIONS: This work provided an integration strategy for uncovering the synergistic effects and compatibility mechanism of Danshen-Chuanxiong herb pair for treating ischemic stroke, and laid foundation for the further development and utilization of this herb pair.

GSH-depleting metal-polyphenol-network nanoparticles with dual enzyme activities induce enhanced ferroptosis.

Ferroptosis is a non-apoptotic form of regulated cell death. The efficiency of ferroptosis is restrained in the tumor microenvironment (TME) by overexpression of glutathione (GSH) and insufficient production of hydrogen peroxide (H2O2). In this work, theranostic nanoparticles Ce-aMOFs@Fe3+-EGCG, termed MEFs, are developed by coating uniform Ce-based amorphous metal-organic frameworks (Ce-aMOFs) with epigallocatechin gallate (EGCG) and Fe3+. Fe3+ is chelated by the adjacent phenol hydroxyl groups in EGCG. In the tumor cell interior, overexpressed GSH and weak acidic medium degrade the coating to release Fe3+ and EGCG accompanied by exposure of Ce-aMOFs. Fe3+ and EGCG consume GSH along with turning Fe3+ into Fe2+. Ce-aMOFs act as a nanozyme possessing dual-enzymatic activities, i.e. superoxide dismutase (SOD)- and phosphatase-like activities. In the TME, Ce-aMOFs catalyze the conversion of endogenous superoxide (O2˙-) into H2O2, and Fe2+ catalyzes H2O2 to generate toxic hydroxyl radicals (˙OH), which may further induce tumor cell death through ferroptosis. In addition, the phosphatase-like activity of Ce-aMOFs may sustainably dephosphorylate NADPH and effectively inhibit intracellular biosynthesis of GSH. Therefore, MEFs ensure down-regulation of intracellular GSH levels and up-regulation of oxidative pressure, which enhance the ferroptosis effect.

Deep learning-based fast denoising of Monte Carlo dose calculation in carbon ion radiotherapy.

BACKGROUND: Plan verification is one of the important steps of quality assurance (QA) in carbon ion radiotherapy. Conventional methods of plan verification are based on phantom measurement, which is labor-intensive and time-consuming. Although the plan verification method based on Monte Carlo (MC) simulation provides a more accurate modeling of the physics, it is also time-consuming when simulating with a large number of particles. Therefore, how to ensure the accuracy of simulation results while reducing simulation time is the current difficulty and focus. PURPOSE: The purpose of this work was to evaluate the feasibility of using deep learning-based MC denoising method to accelerate carbon-ion radiotherapy plan verification. METHODS: Three models, including CycleGAN, 3DUNet and GhostUNet with Ghost module, were used to denoise the 1 × 106 carbon ions-based MC dose distribution to the accuracy of 1 × 108 carbon ions-based dose distribution. The CycleGAN's generator, 3DUNet and GhostUNet were all derived from the 3DUNet network. A total of 59 cases including 29 patients with head-and-neck cancers and 30 patients with lung cancers were collected, and 48 cases were randomly selected as the training set of the CycleGAN network and six cases as the test set. For the 3DUNet and GhostUNet models, the numbers of training set, validation set, and test set were 47, 6, and 6, respectively. Finally, the three models were evaluated qualitatively and quantitatively using RMSE and three-dimensional gamma analysis (3 mm, 3%). RESULTS: The three end-to-end trained models could be used for denoising the 1 × 106 carbon ions-based dose distribution, and their generalization was proved. The GhostUNet obtained the lowest RMSE value of 0.075, indicating the smallest difference between its denoised and 1 × 108 carbon ions-based dose distributions. The average gamma passing rate (GPR) between the GhostUNet denoising-based versus 1 × 108 carbon ions-based dose distributions was 99.1%, higher than that of the CycleGAN at 94.3% and the 3DUNet at 96.2%. Among the three models, the GhostUNet model had the fewest parameters (4.27 million) and the shortest training time (99 s per epoch) but achieved the best denoising results. CONCLUSION: The end-to-end deep network GhostUNet outperforms the CycleGAN, 3DUNet models in denoising MC dose distributions for carbon ion radiotherapy. The network requires less than 5 s to denoise a sample of MC simulation with few particles to obtain a qualitative and quantitative result comparable to the dose distribution simulated by MC with relatively large number particles, offering a significant reduction in computation time.

Efficacy and safety of olmesartan medoxomil-amlodipine besylate tablet in Chinese patients with essential hypertension: A prospective, single-arm, multi-center, real-world study.

There lacks real-world study with a large sample size assessing olmesartan medoxomil-amlodipine besylate (OM-AML) tablet. Therefore, this study aimed to evaluate the efficacy and safety of OM-AML tablet in patients with essential hypertension. Totally, 1341 patients from 36 medical centers with essential hypertension who took OM-AML (20/5 mg) tablet were analyzed in the current prospective, single-arm, multi-center, real-world study (SVK study). Seated systolic blood pressure (SeSBP) and seated diastolic blood pressure (SeDBP) at baseline, week (W)4 and W8 were measured. The mean (±SE) change of SeSBP/SeDBP was -10.8 ± 0.4/-6.6 ± 0.3 mmHg at W4 and -12.7 ± 0.5/-7.6 ± 0.3 mmHg at W8, respectively. At W4, 78.8% and 29.0% patients achieved BP target by China and American Heart Association (AHA) criteria; at W8, 84.7% and 36.5% patients reached blood pressure (BP) target by China and AHA criteria, accordingly. Meanwhile, 80.2% and 86.4% patients achieved BP response at W4 and W8, respectively. Home-measured SeSBP and SeDBP decreased from W1 to W8 (both p < .001). Besides, patients' and physicians' satisfaction were elevated at W8 compared with W0 (both p < .001). The medication possession rate was 94.8% from baseline to W4 and 91.3% from baseline to W8. The most common drug-related adverse events were nervous system disorders (4.6%), vascular disorders (2.6%), and general disorders and administration site conditions (2.3%) by system organ class, which were generally mild and manageable. In conclusion, OM-AML tablet is one of the best antihypertensive agents in patients with essential hypertension.

Aloperine Protects Pulmonary Hypertension via Triggering PPARγ Signaling and Inhibiting Calcium Regulatory Pathway in Pulmonary Arterial Smooth Muscle Cells.

Previous studies have reported the beneficial role of Aloperine (ALO), an active vasodilator purified from the seeds and leaves of herbal plant Sophora alopecuroides L., on experimental pulmonary hypertension (PH), however, detailed mechanisms remain unclear. In this study, monocrotaline-induced PH (MCT-PH) rat model and primarily cultured rat distal pulmonary arterial smooth muscle cells (PASMCs) were used to investigate the mechanisms of ALO on experimental PH, pulmonary vascular remodeling and excessive proliferation of PASMCs. Results showed that: Firstly, ALO significantly prevented the disease development of MCT-PH by inhibiting right ventricular systolic pressure (RVSP) and right ventricular hypertrophy indexed by Fulton Index, normalizing the pulmonary arterials (PAs) remodeling and improving the right ventricular function indexed by transthoracic echocardiography. ALO inhibited the excessive proliferation of both PAs and PASMCs. Then, isometric tension measurements showed vasodilation of ALO on pre-contracted PAs isolated from both control and MCT-PH rats via activating the KCNQ channel, which was blocked by specific KCNQ potassium channel inhibitor Linopirdine. Moreover, by using immunofluorescence staining and nuclear/cytosol fractionation, we further observed that ALO significantly enhanced the PPARγ nuclear translocation and activation in PASMCs. Transcriptome analyses also revealed activated PPARγ signaling and suppressed calcium regulatory pathway in lungs from MCT-PH rats treated with ALO. In summary, ALO could attenuate MCT-PH through both transient vasodilation of PAs, and chronic activation of PPARγ signaling pathway, which exerted anti-proliferative roles on PASMCs and remodeled PAs.

High-speed chaos-based secure optical communications over 130-km multi-core fiber.

Chaotic optical communication is of great significance for secure data transmission. Despite rapid development over the decades, high-speed (>100 Gbps) and long-distance (>100 km) chaotic optical communication in a single fiber is still full of challenges. Here, we propose and experimentally demonstrate high-speed and long-distance chaos-based secure optical communications using mutual injection of semiconductor lasers and space-division multiplexing (SDM) techniques. The encrypted signals are transmitted through all seven core channels of the multi-core fiber (MCF), which effectively expands the aggregate transmission capacity of a single fiber. A pair of source and synchronization devices based on mutual injection of semiconductor lasers are employed to effectively encrypt and decrypt signals. Chaos-based secure optical communications with 70-Gbps on-off keying (OOK) and 140-Gbps quadrature phase-shift keying (QPSK) signals over a 130-km MCF are successfully demonstrated in the experiment with favorable performance. The demonstration may pave the way for future ultrahigh capacity and ultra-long distance chaotic optical communications by fully exploiting multi-dimensional resources of light waves, including the spatial dimension.

Efficacy and safety of CalliSpheres® Microsphere transcatheter-arterial chemoembolization versus conventional TACE in treating renal angiomyolipoma patients.

Objective: Transcatheter-arterial chemoembolization (TACE) is a well-established interventional technique for various tumor treatments, whereas its application in renal angiomyolipoma (RAML) is seldom reported. Conventional TACE (cTACE) with bleomycin-lipiodol emulsion is effective and tolerable for RAML treatment. In this study, we aimed to further explore the efficacy and safety between bleomycin-loaded CalliSpheres® microsphere TACE (CSM-TACE) and cTACE in treating RAML patients. Methods: We retrospectively analyzed the data of 54 RAML patients treated by CSM-TACE (n = 17) or cTACE (n = 37). Data on tumor size, tumor volume reduction ratio, patient percentage with tumor size reduction, white blood cells (WBCs), creatinine (Cre) after treatment, complications, and adverse events were retrieved. Results: Tumor size (88.66 vs. 81.19 cm3, P = 0.970), patient percentage with tumor size reduction (12 [70.59%] vs. 30 [81.08%], P = 0.486) after treatment, WBCs (P = 0.114), Cre (P = 0.659), and change in Cre after treatment (P = 0.947) were not significantly different between groups, whereas tumor volume reduction ratio was slightly lower in the CSM-TACE group than in the cTACE group (12 ± 34% vs. 32 ± 31%, P = 0.047). The most common postoperative complication was a post-embolization syndrome, including fever, nausea, and abdominal pain, which occurred in 9 (52.94%) and 14 (37.84%) patients from the CSM-TACE and cTACE groups, respectively (P = 0.347). Conclusion: CSM-TACE is effective in and well tolerated by RAML patients, implying its potential as an alternative therapy.

Delocalized Isoelectronic Heterostructured FeCoOxSy Catalysts with Tunable Electron Density for Accelerated Sulfur Redox Kinetics in Li-S batteries.

High interconversion energy barriers, depressive reaction kinetics of sulfur species, and sluggish Li+ transport inhibit the wide development of high-energy-density lithium sulfur (Li-S) batteries. Herein, differing from random mixture of selected catalysts, the composite catalyst with outer delocalized isoelectronic heterostructure (DIHC) is proposed and optimized, enhancing the catalytic efficiency for decreasing related energy barriers. As a proof-of-content, the FeCoOxSy composites with different degrees of sulfurization are fabricated by regulating atoms ratio between O and S. The relationship of catalytic efficiency and principal mechanism in DIHCs are deeply understood from electrochemical experiments to in-situ/operando spectral spectroscopies i.e., Raman, XRD and UV-Vis. Consequently, the polysulfide conversion and Li2S precipitation/dissolution experiments strongly demonstrate the volcano-like catalytic efficiency of various DIHCs. Furthermore, the FeCoOxSy-decorated cell delivers the high performance (1413 mAh g-1 at 0.1 A g-1). Under the low electrolyte/sulfur ratio, the high loading cell stabilizes the areal capacity of 6.67 mAh cm-2 at 0.2 A g-1. Impressively, even resting for about 17 days for possible polysulfide shuttling, the high-mass-loading FeCoOxSy-decorated cell stabilizes the same capacity, showing the practical application of the DIHCs in improving catalytic efficiency and reaching high electrochemical performance.

Hybrid-supervised bidirectional transfer networks for computer-aided diagnosis.

Medical imaging techniques have been widely used for diagnosis of various diseases. However, the imaging-based diagnosis generally depends on the clinical skill of radiologists. Computer-aided diagnosis (CAD) can help radiologists improve diagnostic accuracy as well as the consistency and reproducibility. Although convolutional neural network (CNN) has shown its feasibility and effectiveness in CAD, it generally suffers from the problem of small sample size when training CAD models. Nowadays, self-supervised learning (SSL) has shown its effectiveness in the field of medical image analysis, especially when there are only limited training samples. However, the backbone of downstream task sometimes cannot be well pre-trained in the conventional SSL framework due to the limitation of the pretext task and fine-tuning mechanism. In this work, an improved SSL framework, named Hybrid-supervised Bidirectional Transfer Networks (HBTN), is proposed to improve the performance of CAD models. Specifically, a novel Gray-Scale Image Mapping (GSIM) task is developed, which still takes the widely used image restoration task in SSL as the pretext task, but further embeds the class label information into it to improve discriminative feature learning of its corresponding network model. The proposed HBTN then integrates two different network architectures, i.e. the image restoration network for the pretext task and the classification network for the downstream task, into a unified hybrid-supervised learning (HSL) framework. It jointly trains both networks and collaboratively transfers the knowledge between each other. Consequently, the performance of downstream network is thus improved. The proposed HBTN is evaluated on two medical image datasets for CAD tasks. The experimental results indicate that HBTN outperforms the conventional SSL algorithms for CAD with limited training samples.

Integration of microbattery with thin-film electronics for constructing an integrated transparent microsystem based on InGaZnO.

A full integration of miniaturized transparent energy device (lithium-ion battery), electronic device (thin-film transistor) and sensing device (photodetector) to form a monolithic integrated microsystem greatly enhances the functions of transparent electronics. Here, InGaZnO is explored to prepare the above devices and microsystem due to its multifunctional properties. A transparent lithium-ion battery with InGaZnO as anode (capacity~9.8 µAh cm-2) is proposed as the on-chip power source. Then, thin-film transistor with InGaZnO as channel (mobility~23.3 cm2 V-1 s-1) and photodetector with InGaZnO as photosensitive layer (responsivity~0.35 A W-1) are also prepared on the substrate for constructing an fully integrated transparent microsystem. Each device displays acceptable performance. Moreover, alternating-current signals can be successfully charged into the lithium-ion battery by using the thin-film transistor as the on-chip rectifier and also the photodetector works well by using the charged battery as the on-chip power, demonstrating collaborative capabilities of each device to achieve systematic functions.

BCL2L13 promotes mitophagy through DNM1L-mediated mitochondrial fission in glioblastoma.

There is an urgent need for novel diagnostic and therapeutic strategies for patients with Glioblastoma multiforme (GBM). Previous studies have shown that BCL2 like 13 (BCL2L13) is a member of the BCL2 family regulating cell growth and apoptosis in different types of tumors. However, the clinical significance, biological role, and potential mechanism in GBM remain unexplored. In this study, we showed that BCL2L13 expression is significantly upregulated in GBM cell lines and clinical GBM tissue samples. Mechanistically, BCL2L13 targeted DNM1L at the Ser616 site, leading to mitochondrial fission and high mitophagy flux. Functionally, these alterations significantly promoted the proliferation and invasion of GBM cells both in vitro and in vivo. Overall, our findings demonstrated that BCL2L13 plays a significant role in promoting mitophagy via DNM1L-mediated mitochondrial fission in GBM. Therefore, the regulation and biological function of BCL2L13 render it a candidate molecular target for treating GBM.

Confinement-enhanced microalgal individuals biosensing for digital atrazine assay.

Microalgal sensors are widely recognized for their high sensitivity, accessibility, and low cost. However, the current dilemma of motion-induced spatial phase changes and concentration-related multiple scattering interferes with induced test instability and limited sensitivity, which has hindered their practical applications. Here, a differentiated strategy, named confinement-enhanced microalgal biosensing (C-EMB), is developed and proposed to pave the way. The in-situ printed microgel trap is designed to confine Chlamydomonas reinhardtii individuals, stabilizing their spatial phase. The microgel trap arrays are introduced to eliminate the multiple scattering of microalgae, breaking the existing effective concentration in traditional microalgal sensing and enabling sensitive assays. The integration with lab-on-a-chip technology and a developed digital imaging algorithm empower portable and automated detection. With this system, a microalgae analyzer is developed for atrazine detection, featuring a linear range of 0.04-100 µg/L. We assess the system's performance through practical atrazine assays on commercial food, using a double-blind test against a standard instrument. Our results demonstrate the good accuracy and test stability of this system with the mean bias atrazine detection in corn and sugarcane juice samples (SD) were 1.661 µg/L (3.122 µg/L) and 3.144 µg/L (4.125 µg/L), respectively. This method provides a new paradigm of microalgal sensors and should advance the further applications of microalgal sensors in commercial and practical settings.

The association between childhood adiposity in northeast China and anthropogenic heat flux: A new insight into the comprehensive impact of human activities.

Anthropogenic heat has been reported to have significant health impacts, but research on its association with childhood adiposity is still lacking. In this study, we matched the 2008-2012 average anthropogenic heat flux, as simulated by a grid estimation model using inventory methods, with questionnaire and measurement data of 49,938 children randomly recruited from seven cities in Northeast China in 2012. After adjusting for social demographic and behavioral factors, we used generalized linear mixed-effect models to assess the association between anthropogenic heat flux and adiposity among children. We also examined the effect modification of various social demographic and behavioral confounders. We found that each 10 W/m2 increase in total anthropogenic heat flux and that from the industry source was associated with an increase of 5.82% (95% CI = 0.84%-11.05%) and 6.62% (95% CI = 0.87%-12.70%) in the odds of childhood adiposity. Similarly, the excess rate of adiposity among children were 5.26% (95% CI = -1.33%-12.29%) and 8.51% (95% CI = 2.24%-15.17%) per 1 W/m2 increase in the anthropogenic heat flux from transportation and buildings, and was 7.94% (95% CI = 2.28%-13.91%) per 0.001 W/m2 increase in the anthropogenic heat flux from human metabolism. We also found generally greater effect estimates among female children and children who were exposed to passive smoking during pregnancy, born by caesarean section, non-breastfed/mixed-fed, or lived within 20 m adjacent to the main road. The potential deleterious effect of anthropogenic heat exposure on adiposity among children may make it a new but major threat to be targeted by future mitigation strategies.

Surface microrelief induced by tillage management alters the pathway and composition of dissolved organic matter exports from soils to runoff during rainfall.

Rainfall-runoff process mobilizes considerable dissolved organic matter (DOM) from soils to aquatic systems via surface and sub-surface flow pathways. Microrelief induced by tillage management can alter this flow partitioning and thus likely affect the associated pathway and composition of DOM exports during rainfall. This study conducted rainfall simulation experiments, combined with three-dimensional fluorescence spectra analysis and Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) technology, to explore the effects of different surface microreliefs treatments on the quantity and composition of DOM exports at a plot scale. Four typical microrelief treatments (i.e., contour tillage (CP), longitudinal tillage (LP), artificial digging tillage (AP), and flat tillage (CK, as control)) were selected. Results showed that ratios of surface to sub-surface flow volume under four treatments were in order of LP (193:1)>CK (73:1)>AP (4.5:1)>CP (0.5:1). DOM concentrations in sub-surface flow (13.37∼33.50 mg L-1) were 7∼18 times of that in surface flow (0.03∼4.56 mg L-1). The total export fluxes of DOM were 134, 139, 563, and 1214 mg m-2 at LP, CK, AP, and CP treatments, respectively, with proportions of 8%, 17%, 82%, and 98% via sub-surface flow. Compared to surface flow, DOM molecular composition in sub-surface flow showed a significant feature of higher oxygen to carbon ratio, higher molecular weight, and lower hydrogen to carbon ratio. The findings indicated that microrelief with higher surface storage capacity tends to favor a large flux of DOM export, primarily via sub-surface flow, which might significantly affect the DOM cycling in the receiving aquatic ecosystems.

Design, synthesis of (±)-millpuline A and biological evaluation for the lung cell protective effects through SRC.

In this paper, a visible-light-induced intermolecular [2+2] photocycloaddition reaction based on flavonoids was constructed to address the problems of low yield, poor physicochemical properties, and lack of target definition in total synthesis of (±)-millpuline A whose bioactivity remains unknown. As a result, 20 derivatives (B1-B20) were synthesized for bioactivity evaluation. Consequently, lung cell protective effects of (±)-millpuline A and B13a were revealed for the first time and the crucial role of stereoconfiguration of the cyclobutane moiety in their protective effects against NNK in normal lung cells was demonstrated. Moreover, through target prediction and experimental verification in MLE-12 cells, SRC was determined to be the target of (±)-millpuline A regarding its protective effect in NNK-induced lung cell injury. Results from RT-Q-PCR and HTRF experiments verified that (±)-millpuline A could repress SRC activity through a transcriptional mechanism but not acting as an inhibitor to directly bind to and thereby inhibit SRC protein. The results in this paper are informative for the further development of visible light-catalyzed cycloaddition of flavon-oids and lay a scientific foundation for understanding the bioactivity and underlying mechanism of (±)-millpuline A and other structurally similar natural skeletons.

Mg ion implantation and post-annealing effect on the photoelectrical performance of a ß-Ga2O3 photodetector.

The effects of magnesium ion implantation and post-annealing on the photoelectric performance of a ß-G a 2 O 3-based vertical structural Schottky photodetector (PD) were thoroughly investigated. After implantation and post-annealing, the Schottky barrier height and bandgap of the G a 2 O 3 surface can be slightly increased, while the dark current is significantly reduced, and the light-to-dark current ratio is immensely improved. The PD exhibited a photo-to-dark current ratio of 1733, responsivity of 5.04 mA/W, and specific detectivity of 3.979×1011 Jones under -2.6V bias, and the rise and decay times are 0.157 were 0.048 s, respectively. The large left shift of the open-circuit voltage is feasibly explained by applying the thermionic-emission diffusion theory.