MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules.

According to the expression of miRNA in pathological processes, miRNAs can be divided into oncogenes or tumor suppressors. Prediction of the regulation relations between miRNAs and small molecules (SMs) becomes a vital goal for miRNA-target therapy. But traditional biological approaches are laborious and expensive. Thus, there is an urgent need to develop a computational model. In this study, we proposed a computational model to predict whether the regulatory relationship between miRNAs and SMs is up-regulated or down-regulated. Specifically, we first use the Large-scale Information Network Embedding (LINE) algorithm to construct the node features from the self-similarity networks, then use the General Attributed Multiplex Heterogeneous Network Embedding (GATNE) algorithm to extract the topological information from the attribute network, and finally utilize the Light Gradient Boosting Machine (LightGBM) algorithm to predict the regulatory relationship between miRNAs and SMs. In the fivefold cross-validation experiment, the average accuracies of the proposed model on the SM2miR dataset reached 79.59% and 80.37% for up-regulation pairs and down-regulation pairs, respectively. In addition, we compared our model with another published model. Moreover, in the case study for 5-FU, 7 of 10 candidate miRNAs are confirmed by related literature. Therefore, we believe that our model can promote the research of miRNA-targeted therapy.

A biomedical knowledge graph-based method for drug-drug interactions prediction through combining local and global features with deep neural networks.

Drug-drug interactions (DDIs) prediction is a challenging task in drug development and clinical application. Due to the extremely large complete set of all possible DDIs, computer-aided DDIs prediction methods are getting lots of attention in the pharmaceutical industry and academia. However, most existing computational methods only use single perspective information and few of them conduct the task based on the biomedical knowledge graph (BKG), which can provide more detailed and comprehensive drug lateral side information flow. To this end, a deep learning framework, namely DeepLGF, is proposed to fully exploit BKG fusing local-global information to improve the performance of DDIs prediction. More specifically, DeepLGF first obtains chemical local information on drug sequence semantics through a natural language processing algorithm. Then a model of BFGNN based on graph neural network is proposed to extract biological local information on drug through learning embedding vector from different biological functional spaces. The global feature information is extracted from the BKG by our knowledge graph embedding method. In DeepLGF, for fusing local-global features well, we designed four aggregating methods to explore the most suitable ones. Finally, the advanced fusing feature vectors are fed into deep neural network to train and predict. To evaluate the prediction performance of DeepLGF, we tested our method in three prediction tasks and compared it with state-of-the-art models. In addition, case studies of three cancer-related and COVID-19-related drugs further demonstrated DeepLGF's superior ability for potential DDIs prediction. The webserver of the DeepLGF predictor is freely available at http://120.77.11.78/DeepLGF/.

The Efficacy of Acupuncture Therapy in the Management of Dyspnea and Other Symptoms Associated with Heart Failure: A Consolidated Review of Trial Data.

INTRODUCTION: Acupuncture has been used for pain management for thousands of years. However, it is largely unclear whether this therapeutic approach can effectively reduce heart failure-associated symptoms, including dyspnea. The hypothesis posited in this study was that acupuncture does indeed aid in the management of such symptoms and was motivated by the following statistics that establish a requisite need for efficient management of dyspnea to improve patient outcomes with heart failure. In 2020, an estimated 6.2 million adults in the USA had a heart failure diagnosis; in 2018, 379,800 death certificates reported heart failure; and the national cost of heart failure in 2012 was approximately USD 30.7 billion. METHODS: The methodology employed to conduct this study involved review of trial data extracted from review of papers pertaining to acupuncture, symptoms of heart failure, and dyspnea, from academic and clinical data repositories subject to various inclusion and exclusion criteria. Of the initial set of 293 studies identified, the resulting inclusion set comprised 30 studies. The analysis conducted revealed that the highest frequency of combined acupuncture points prescribed for the foregoing search criteria were as follows: BL13, BL23, LU9, LU5, Dingchuan, LI4, PC6, and HT7. RESULTS: A meta-analysis of combined pooled p values for the studies revealed that acupuncture does aid in the management of symptoms of dyspnea and heart failure, subject to various limitations including but not limited to heterogeneity inherent between the studies in the inclusion set that were analyzed. Such limitations underscore the need to restrict generalizations from the conclusions of this study. CONCLUSION: The impact and novelty of this research study is its attempt to target the apparent paucity of literature that focuses on the management of dyspnea specifically in the context of heart failure with acupuncture and to bridge the gap of the application of acupuncture research on dyspnea to the cardiovascular context of heart failure. Notwithstanding the meta-analysis undertaken under this review study, further statistical analysis and a pilot study are warranted to consolidate or nullify the results of the research.

Karst fissures mitigate the negative effects of drought on plant growth and photosynthetic physiology.

Hard limestone substrates, which are extensively distributed, are believed to exacerbate drought and increase the difficulty of restoration in vulnerable karst regions. Fissures in such substrates may alleviate the negative effect of drought on plants, but the underlying mechanisms remain poorly understood. In a two-way factorial block design, the growth and photosynthesis of 2-year-old Phoebe zhennan seedlings were investigated in two water availabilities (high versus low) and three stimulated fissure habitat groups (soil, soil-filled fissure and non-soil-filled fissure). Moreover, the fissure treatments included both small and big fissures. Compared to the soil group, the non-soil-filled fissure group had decreased the total biomass, root biomass, total root length, and the root length of fine roots in the soil layer at both water availabilities, but increased net photosynthetic rate (Pn) and retained stable water use efficiency (WUE) at low water availability. However, there were no significant differences between the soil-filled fissure group and soil group in the biomass accumulation and allocation as well as Pn. Nevertheless, the SF group decreased the root distribution in total and in the soil layer, and also increased WUE at low water availability. Across all treatments, fissure size had no effect on plant growth or photosynthesis. Karst fissures filled with soil can alleviate drought impacts on plant root growth, which involves adjusting root distribution strategies and increasing water use efficiency. These results suggest that rock fissures can be involved in long-term plant responses to drought stress and vegetation restoration in rocky mountain environments under global climate change.

Carbon tax and low-carbon credit: Which policy is more beneficial to the capital-constrained manufacturer's remanufacturing activities?

Remanufacturing has attracted much attention for its enormous potential in resource recycling and low-carbon emission reduction. To investigate the effects of different government intervention policies on remanufacturing and carbon emissions, two profit maximization models of the capital-constrained manufacturer under carbon tax and low-carbon credit policies are constructed respectively. Then, through theoretical and numerical analyses, some significant findings are drawn: (1) Both carbon tax and low-carbon credit policies can encourage capital-constrained manufacturers to produce more remanufactured products, but which intervention policy is more advantageous also depends on the carbon emission cost of new products or financing cost of the remanufactured products. (2) Although carbon tax policy can effectively control carbon emissions, it is always at the expense of both capital-constrained manufacturers and consumers; while low-carbon credit policy can help capital-constrained manufacturers achieve the goal of win-win economic and environmental benefits when the remanufacturing carbon savings advantages are more apparent. (3) From the perspective of consumer benefits, carbon tax is more advantageous when the consumer willingness to pay for remanufactured products is higher; otherwise, low-carbon credit policy should be implemented. (4) The higher the environmental damage coefficient is, the more it can highlight the advantages of the two intervention policies in social welfare enhancement, especially the carbon tax policy; and when the environmental damage coefficient is given, the stronger the consumers' willingness to pay for remanufactured products is, the more it is conducive to reducing the negative effects caused by the carbon tax or low-carbon credit policy in social welfare enhancement, or increasing the corresponding positive effects. Based on above findings, some managerial insights and policy implications are provided to capital-constrained manufacturers and policy-makers.

Evaluation of extravascular lung water and cardiac function in normal vaginal delivery by intrapartum bedside ultrasound.

BACKGROUND: Healthy parturients may experience pulmonary edema and disturbed cardiac function during labor. We aimed to evaluate the extravascular lung water (EVLW), intravascular volume, and cardiac function of normal parturients during spontaneous vaginal delivery by bedside ultrasound. And to explore the correlation between EVLW and intravascular volume, cardiac function. METHODS: This was a prospective observational study including 30 singleton-term pregnant women undergoing spontaneous vaginal delivery. Bedside ultrasound was performed at the early labor, the end of the second stage of labor, 2 and 24 h postpartum, and 120 scanning results were recorded. EVLW was evaluated by the echo comet score (ECS) obtained by the 28-rib interspaces technique. Inferior vena cava collapsibility index (IVC-CI), left ventricle ejection fraction, right ventricle fractional area change, left and right ventricular E/A ratio, and left and right ventricular index of myocardial performance (LIMP and RIMP) were measured. Measurements among different time points were compared, and the correlations between ECS and other measurements were analyzed. RESULTS: During the spontaneous vaginal delivery of healthy pregnant women, 2 had a mild EVLW increase at the early labor, 8 at the end of the second stage of labor, 13 at 2 h postpartum, and 4 at 24 h postpartum (P < 0.001). From the early labor to 24 h postpartum, ECS first increased and then decreased, reaching its peak at 2 h postpartum (P < 0.001). IVC-CI first decreased and then increased, reaching its minimum at the end of the second stage of labor (P < 0.001). RIMP exceeded the cut-off value of 0.43 at the end of the second stage of labor. ECS was weakly correlated with IVC-CI (r=-0.373, P < 0.001), LIMP (r = 0.298, P = 0.022) and RIMP (r = 0.211, P = 0.021). CONCLUSIONS: During spontaneous vaginal delivery, the most vital period of perinatal care is between the end of the second stage of labor and 2 h postpartum, because the risk of pulmonary edema is higher and the right ventricle function may decline. IVC-CI can be used to evaluate maternal intravascular volume. The increase in EVLW may be related to the increase in intravascular volume and the decrease in ventricular function.

YAP-galectin-3 signaling mediates endothelial dysfunction in angiotensin II-induced hypertension in mice.

BACKGROUND: Vascular endothelial dysfunction is regarded as an early event of hypertension. Galectin-3 (Gal-3) is known to participate in various pathological processes. Whilst previous studies showed that inhibition of Gal-3 effectively ameliorates angiotensin II (Ang II)-induced atherosclerosis or hypertension, it remains unclear whether Ang II regulates Gal-3 expression and actions in vascular endothelium. METHODS: Using techniques of molecular biology and myograph, we investigated Ang II-mediated changes in Gal-3 expression and activity in thoracic aortas and mesenteric arteries from wild-type and Gal-3 gene deleted (Gal-3-/-) mice and cultured endothelial cells. RESULTS: The serum level of Gal-3 was significantly higher in hypertensive patients or in mice with chronic Ang II-infusion. Ang II infusion to wild-type mice enhanced Gal-3 expression in the aortic and mesenteric arteries, elevated systolic blood pressure and impaired endothelium-dependent relaxation of the thoracic aortas and mesenteric arteries, changes that were abolished in Gal-3-/- mice. In human umbilical vein endothelial cells, Ang II significantly upregulated Gal-3 expression by promoting nuclear localization of Yes-associated protein (YAP) and its interaction with transcription factor Tead1 with enhanced YAP/Tead1 binding to Gal-3 gene promoter region. Furthermore, Gal-3 deletion augmented the bioavailability of nitric oxide, suppressed oxidative stress, and alleviated inflammation in the thoracic aorta of Ang II-infused mice or endothelial cells exposed to Ang II. CONCLUSIONS: Our results demonstrate for the first time that Ang II upregulates Gal-3 expression via increment in YAP nuclear localization in vascular endothelium, and that Gal-3 mediates endothelial dysfunction contributing to the development of hypertension.

Microinvasive intrascleral double continuous suture repair surgery for cyclodialysis clefts.

BACKGROUND: The traditional suturing method for cyclodialysis cleft usually requires an incision in the sclera for direct suturing, resulting in greater damage and a high risk of postoperative complications. The purpose of this work is to propose a newly intrascleral double continuous suture repair technique for the treatment of cyclodialysis clefts. METHODS: Seven patients with cyclodialysis cleft underwent microinvasive intrascleral double continuous suture repair surgery to restore the attachment of the detached ciliary body to the sclera without scleral incision. All operations were performed by the same surgeon. Preoperative and postoperative visual acuity (VA), intraocular pressure (IOP), slit lamp and corneal examination results, ultrasound biomicroscopy (UBM) and optical coherence tomography (OCT) results were recorded. RESULTS: Closure of the cyclodialysis cleft was achieved in 7 eyes and no obvious complications occurred after the operation. Intraocular pressure increased from preoperatively 6.8 ± 1.35 mmHg (range: 4.8-8.0 mmHg) to postoperatively 12.5 ± 4.0 mmHg (range: 8.0-20.0 mmHg) (paired sample T test, P < 0.01). Best-corrected Snellen visual acuity improved from preoperatively range 20/2000-20/63 to range 20/200-20/25 at final follow-up. CONCLUSION: In short, intrascleral double continuous suture repair surgical is safe and effective in treating cyclodialysis cleft, with minimal surgical trauma.

Experimental recognition of vortex beams in oceanic turbulence combining the Gerchberg-Saxton algorithm and convolutional neural network.

In underwater wireless optical communication (UWOC), vortex beams carrying orbital angular momentum (OAM) can improve channel capacity but are vulnerable to oceanic turbulence (OT), leading to recognition errors. To mitigate this issue, we propose what we believe to be a novel method that combines the Gerchberg-Saxton (GS) algorithm-based recovery with convolutional neural network (CNN)-based recognition (GS-CNN). Our experimental results demonstrate that superposed Laguerre-Gaussian (LG) beams with small topological charge are ideal information carriers, and the GS-CNN remains effective even when OT strength C n2 is high up to 10-11 K 2 m -2/3. Furthermore, we use 16 kinds of LG beams to transmit a 256-grayscale digital image, giving rise to an increase in recognition accuracy from 0.75 to 0.93 and a decrease in bit error ratio from 3.98×10-2 to 6.52×10-3 compared to using the CNN alone.

First report of Diaporthe tulliensis causing leaf spot on Millettia speciosa in China.

Millettia speciosa Champ, renowned for its diverse applications in traditional medicine, is extensively cultivated in the Guangxi region of China, spanning roughly 5,973 hectares. In July 2021, a plantation in Yulin, Guangxi, China (22°64'N; 110°29'E), exhibited severe leaf spot disease on M. speciosa. Notably, a 46,690 square meters area had over 40% leaf spot incidence. Initially, symptoms appeared as small, circular, pale-yellow lesions on the leaves, then turned into irregular, dark brown spots with yellow halos, leading to the wilt and defoliation of leaves. To identify the responsible pathogen, a total of five symptomatic leaves were collected and sterilized systematically. Small tissue segments (5×5 mm) from lesion peripheries were aseptically excised, then surface sterilized with 75% ethanol for 10 s, and 1% sodium hypochlorite (NaClO) for 3 min. Following this, the sterilized tissues were triple-rinsed with sterile water and cultured on potato dextrose agar (PDA) at 28 °C in the dark for 7 d. A total of seven isolates were obtained through single-spore isolation, and one representative isolate, N2-3, was selected for further analysis. After 7 d of incubation, colonies displayed flat, white, and extensively branched aerial hyphae. Over time, the reverse side of the colony changed from white to yellowish-white. The pycnidia were black with conidial droplets ranging from cream to pale yellow exuding from their ostioles. The α-conidia were one-celled, hyaline, ovoid to cylindrical, typically with one or two droplets, 2.6 to 5.9 ×1.4 to 3.9 µm (n=50). These morphological traits align with those of the genus Diaporthe, as reported by Li et al. (2022) and Crous et al. (2015). To identify the species, isolate N2-3 underwent sequencing of the internal transcribed spacer (ITS), ß-tubulin (BT), and translation elongation factor 1 alpha (EF1-α) sections (Huang et al. 2021). Obtained sequences of ITS, BT and EF1-α (Genebank accessions nos. OR600532, OR662169 and OR662168) displayed a 99% similarity to Diaporthe tulliensis (Genebank accessions nos. OP219651, ON932382, OL412437, respectively). Based on the concatenated ITS, BT and EF1-α, a neighbor-joining phylogenetic analyses using MEGA7.0 clustered with D. tulliensis. Therefore, the fungus was identified as D. tulliensis (teleomorph name) based on morphological and molecular features. A pathogenicity test was conducted on 1-year-old M. speciosa seedlings by gently abrading healthy leaves with sterilized toothpicks to create superficial wounds. Wounded leaves were then inoculated with 5 mm diameter mycelial plugs, while control seedlings received PDA plugs. Three leaves per plant and five plants per treatment were selected for assessment. All seedlings were kept in a controlled greenhouse (12/12h light/dark, 25 ± 2 °C, 90% humidity). After 7 d, the inoculated leaves showed symptoms like those in the field, while control plants remained healthy. The fungus was consistently reisolated from the infected leaves, satisfying Koch's postulates. Notably, D. tulliensis has caused Boston ivy leaf spot, bodhi tree leaf spot, cacao pod rot, and jasmine stem canker (Huang et al. 2021; Li et al. 2022; Serrato-Diaz et al. 2022; Hsu et al. 2023). This discovery is significant as it marks the first report of Diaporthe tulliensis causing leaf spot on Millettia speciossa in China, which has direct implications for the development of diagnostic tools and research into potential disease management strategies.

[Research progress on the relationship between TRAF6 and neurodegenerative diseases].

Given the increasing trend of aging population in the world, neurodegenerative diseases (NDDs), a common type of diseases that mostly occur in the elderly, have attracted much more attention. It has been shown that tumor necrosis factor receptor-associated factor 6 (TRAF6) is involved in the regulation of neuroinflammation, an important pathological feature of NDDs, and affects the occurrence and development of NDDs. Most importantly, the regulatory effect of TRAF6 is related to its ubiquitination. Therefore, in the present paper, the molecular structure, biological function, and ubiquitination mechanism of TRAF6, and its relationship with some common NDDs, including Alzheimer's disease, Parkinson's disease, multiple sclerosis, and amyotrophic lateral sclerosis, were analyzed and summarized. The possible molecular mechanisms by which TRAF6 regulates the occurrence of NDDs were also elucidated, providing a theoretical basis for exploring the etiology and treatment of NDDs.

Combining DNA scaffolds and acoustic force spectroscopy to characterize individual protein bonds.

Single-molecule data are of great significance in biology, chemistry, and medicine. However, new experimental tools to characterize, in a multiplexed manner, protein bond rupture under force are still needed. Acoustic force spectroscopy is an emerging manipulation technique which generates acoustic waves to apply force in parallel on multiple microbeads tethered to a surface. We here exploit this configuration in combination with the recently developed modular junctured-DNA scaffold that has been designed to study protein-protein interactions at the single-molecule level. By applying repetitive constant force steps on the FKBP12-rapamycin-FRB complex, we measure its unbinding kinetics under force at the single-bond level. Special efforts are made in analyzing the data to identify potential pitfalls. We propose a calibration method allowing in situ force determination during the course of the unbinding measurement. We compare our results with well-established techniques, such as magnetic tweezers, to ensure their accuracy. We also apply our strategy to study the force-dependent rupture of a single-domain antibody with its antigen. Overall, we get a good agreement with the published parameters that have been obtained at zero force and population level. Thus, our technique offers single-molecule precision for multiplexed measurements of interactions of biotechnological and medical interest.

DeepMPF: deep learning framework for predicting drug-target interactions based on multi-modal representation with meta-path semantic analysis.

BACKGROUND: Drug-target interaction (DTI) prediction has become a crucial prerequisite in drug design and drug discovery. However, the traditional biological experiment is time-consuming and expensive, as there are abundant complex interactions present in the large size of genomic and chemical spaces. For alleviating this phenomenon, plenty of computational methods are conducted to effectively complement biological experiments and narrow the search spaces into a preferred candidate domain. Whereas, most of the previous approaches cannot fully consider association behavior semantic information based on several schemas to represent complex the structure of heterogeneous biological networks. Additionally, the prediction of DTI based on single modalities cannot satisfy the demand for prediction accuracy. METHODS: We propose a multi-modal representation framework of 'DeepMPF' based on meta-path semantic analysis, which effectively utilizes heterogeneous information to predict DTI. Specifically, we first construct protein-drug-disease heterogeneous networks composed of three entities. Then the feature information is obtained under three views, containing sequence modality, heterogeneous structure modality and similarity modality. We proposed six representative schemas of meta-path to preserve the high-order nonlinear structure and catch hidden structural information of the heterogeneous network. Finally, DeepMPF generates highly representative comprehensive feature descriptors and calculates the probability of interaction through joint learning. RESULTS: To evaluate the predictive performance of DeepMPF, comparison experiments are conducted on four gold datasets. Our method can obtain competitive performance in all datasets. We also explore the influence of the different feature embedding dimensions, learning strategies and classification methods. Meaningfully, the drug repositioning experiments on COVID-19 and HIV demonstrate DeepMPF can be applied to solve problems in reality and help drug discovery. The further analysis of molecular docking experiments enhances the credibility of the drug candidates predicted by DeepMPF. CONCLUSIONS: All the results demonstrate the effectively predictive capability of DeepMPF for drug-target interactions. It can be utilized as a useful tool to prescreen the most potential drug candidates for the protein. The web server of the DeepMPF predictor is freely available at http://120.77.11.78/DeepMPF/ , which can help relevant researchers to further study.

Reliable experimental manipulation of quantum steering direction.

Noise-adding methods have been widely used to manipulate the direction of quantum steering, but all related experimental schemes only worked under the assumption that Gaussian measurements were performed and ideal target states were accurately prepared. Here, we prove, and then experimentally observe, that a class of two-qubit states can be flexibly changed among two-way steerable, one-way steerable and no-way steerable, by adding either phase damping noise or depolarization noise. The steering direction is determined by measuring steering radius and critical radius, each of which represents a necessary and sufficient steering criterion valid for general projective measurements and actually prepared states. Our work provides a more efficient and rigorous way to manipulate the direction of quantum steering, and can also be employed to manipulate other types of quantum correlations.

Landscape of Statin as a Cornerstone in Atherosclerotic Cardiovascular Disease.

Atherosclerosis, the key pathogenesis of cardiovascular disease, is a leading cause of death and disability worldwide. Statins are first-line lipid-lowering drugs, which have been demonstrated to be powerful agents for anti-atherosclerosis. Numerous studies have confirmed the cardiovascular benefits and long-term safety of statins in a wide range of patients. Statins play an indispensable and irreplaceable part in the prevention and treatment of atherosclerotic cardiovascular disease (ASCVD). In this article, we summarize the evolution of statins and their role in the treatment of cholesterol. The anti-atherosclerotic mechanism of statins, its efficacy, safety and clinical outcomes in secondary and primary prevention of ACSVD in different patient populations, the combination treatment effects, and guideline recommendations are also detailed. This paper highlights the profound significance of statins as the most successful anti-atherogenic drug in the cardiovascular field.

Percutaneous transluminal pulmonary angioplasty for Takayasu arteritis-associated pulmonary hypertension: A single-arm meta-analysis.

BACKGROUND: The efficacy and safety of percutaneous transluminal pulmonary angioplasty (PTPA) for Takayasu arteritis-associated pulmonary hypertension (TA-PH) remain unclear. OBJECTIVES: To examine the efficacy and safety of PTPA in TA-PH. METHODS: PubMed, Embase, and the Cochrane Central Register of Controlled Trials Library were searched from inception to August 18, 2022, for articles investigating the efficacy and safety of PTPA for TA-PH. The primary efficacy outcomes were pulmonary vascular resistance (PVR) changes from baseline to re-evaluation and 6-minute walking distance (6MWD). The safety outcome was procedure-related complications. RESULTS: Five articles comprising 104 patients with TA-PH who underwent PTPA were included. The scores of article quality, as assessed using the methodological index for nonrandomized studies tool, were high, ranging from 13 to 15 points. The pooled treatment effects of PVR (weighted mean difference [WMD]: -4.8 WU; 95% confidence interval [CI]: -6.0 to -3.5 WU; I2 = 0.0%), 6MWD (WMD: 101.9 m; 95% CI: 60.3-143.6 m; I2 = 70.4%) significantly improved. Procedure-related complications, which predominantly present as pulmonary artery injury and pulmonary injury, occurred in 32.0% of the included patients. Periprocedural death occurred in one patient (1.0%, 1/100). CONCLUSIONS: Patients with TA-PH could benefit from PTPA in terms of hemodynamics and exercise tolerance, at the expense of procedure-related complications. PTPA should be encouraged to enhance the treatment response in TA-PH. These findings need to be confirmed by further studies, ideally, randomized controlled trials. REGISTRATION: PROSPERO CRD42022354087.

Synthesis of Chiral 2,3-Dihydrofurans via One-Pot Pd-Catalyzed Asymmetric Allylic Cycloaddition and a Retro-Dieckmann Fragmentation Cascade.

An efficient method for the enantioselective synthesis of 2,3-dihydrofurans bearing a quaternary stereocenter has been developed via Pd-catalyzed asymmetric allylic cycloaddition and a retro-Dieckmann Fragmentation cascade. The asymmetric allylic cycloaddition of vinylethylene carbonates with 3-cyanochromone followed by base-assisted retro-Dieckmann fragmentation proceeded smoothly via a one-pot process to produce chiral 3,4-disubstituted 2,3-dihydrofurans in high yields with excellent enantioselectivities.

CD45- erythroid progenitor cells promote lymph node metastasis in gastric cancer by inducing a hybrid epithelial/mesenchymal state in lymphatic endothelial cells.

BACKGROUND AND AIMS: Specific mechanisms of lymph node (LN) metastasis in early-stage gastric cancer (GC) have not been elucidated. The role of anemia, a vital clinical feature of GC, in LN metastasis is also unclear. Since the number of erythroid progenitor cells (EPCs) is increased in chronic anemia, we investigated its association with LN metastasis in GC. METHODS: Flow cytometry and immunofluorescence analyses were performed to sort and study EPCs from the circulation and tumors of patients with stage I-III GC. The effect of these EPCs on the activation of T and B cells and on the functions of lymphatic endothelial cells (LECs) was determined, and their ability to promote LN metastasis was evaluated using a footpad-popliteal LN metastasis model based on two human adenocarcinoma GC cell lines in nude mice. The prognostic value of EPCs was also analyzed. RESULTS: The proportion of CD45- EPCs was higher in the mononuclear cells in the circulation, tumors, and LNs of GC patients with LN metastasis (N+) than in those of GC patients without LN metastasis (N0). In N+ patients, CD45- EPCs were more abundant in metastatic LNs than in non-metastatic LNs. Lymphatic vessel endothelial hyaluronan receptor 1 immunoreactivity in tumors revealed that CD45- EPCs were positively associated with nodal stages and lymph vessel density. Furthermore, CD45- EPCs increased LEC proliferation and migration through their S100A8/A9 heterodimer-induced hybrid epithelial/mesenchymal (E/M) state; however, they did not influence the invasion and tubulogenesis of LECs or T and B cell proliferation. CD45- EPCs promoted LN metastasis in vivo; the S100A8/A9 heterodimer mimicked this phenomenon. Finally, CD45- EPCs predicted the overall and disease-free survival of stage I-III GC patients after radical resection. CONCLUSIONS: The CD45- EPCs accumulated in GC tissues and metastatic LNs and promoted LN metastasis via the S100A8/9-induced hybrid E/M state of LECs, which was the specific mechanism of LN metastasis in the early stages of GC.

Kinetically and thermodynamically controlled one-pot growth of gold nanoshells with NIR-II absorption for multimodal imaging-guided photothermal therapy.

Since the successful clinical trial of AuroShell for photothermal therapy, there is currently intense interest in developing gold-based core-shell structures with near-infrared (NIR) absorption ranging from NIR-I (650-900 nm) to NIR-II (900-1700 nm). Here, we propose a seed-mediated successive growth approach to produce gold nanoshells on the surface of the nanoscale metal-organic framework (NMOF) of UiO-66-NH2 (UiO = the University of Oslo) in one pot. The key to this strategy is to modulate the proportion of the formaldehyde (reductant) and its regulator / oxidative product of formic acid to harness the particle nucleation and growth rate within the same system. The gold nanoshells propagate through a well-oriented and controllable diffusion growth pattern (points → facets → octahedron), which has not been identified. Most strikingly, the gold nanoshells prepared hereby exhibit an exceedingly broad and strong absorption in NIR-II with a peak beyond 1300 nm and outstanding photothermal conversion efficiency of 74.0%. Owing to such superior performance, these gold nanoshells show promising outcomes in photoacoustic (PA), computed tomography (CT), and photothermal imaging-guided photothermal therapy (PTT) for breast cancer, as demonstrated both in vitro and in vivo.

Colletotrichum horii and Colletotrichum fioriniae Causing Anthracnose on Star Anise (Illicium verum) in China.

Star anise (Illicium verum) is an important economic and medical plant widely cultivated in Guangxi province, China. Its fruit can be used as spice and medicine (Wang et al. 2011). In recent years, anthracnose led to a serious decline in the production of star anise in Guangxi. In 2021, a survey conducted in CenwangLaoshan Reserve of Guangxi (24°21'N; 106°27'E) showed that the 2500 ha planting area had disease incidence greater than 80%. The leaf symptoms initially appeared as small spots, then expanded to round spots, finally becoming withered with grayish-white centers, surrounded by dark brown margins. Sometimes, small black acervuli were observed in the later stage. To explore the pathogen, infected leaves were collected and cut into small pieces (about 5 mm2) from the edge of the lesion, disinfected with 75% ethanol for 10 s, 1% NaClO for 1 min, washed with sterilized water and incubated on potato dextrose agar (PDA) plates at 28 °C in the dark. Ten single-spore isolates were obtained from the cultures. After 7 days on PDA at 28 °C, the colonies of 7 isolates were white with abundant aerial hyphae, gray-black with white-gray margins, and the other 3 isolates were light gray on the upper surface, and pink or orange on the underside. Representative isolates BS3-4 and BS3-1 were selected from 3 isolates and 7 isolates, respectively. Conidia of BS3-4 and BS3-1 were both hyaline, cylindrical, aseptate, smooth, apex obtuse, base truncate, and no significant differences (P > 0.05) in size between BS3-1 (13.22 to 5.38 × 3.89 to 1.99 µm) (n = 50) and BS3-4 (12.04 to 4.34 × 3.48 to 1.64 µm) (n = 50). These morphological characteristics were consistent with the Colletotrichum ssp. (Damm et al. 2012). The species identification of BS3-4 and BS3-1 was performed based on DNA sequence analysis. Genomic DNA was extracted as a template. Partial sequences of the rDNA internal transcribed spacer (ITS), actin gene (ACT), ß-tubulin2 (TUB2) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) were amplified and sequenced (Weir et al. 2012). The sequences were deposited in GenBank (ITS:OQ062642-43; ACT:OQ067614-15; GAPDH:OQ067616-17;TUB2：OQ067618-19). Based on the concatenated sequences of the 4 genes (ITS-ACT- GAPDH -TUB2) of BS3-4 and BS3-1 as well as sequences of other Colletotrichum spp. obtained from GenBank, the Maximum likelihood (ML) tree which produced with IQ-TREE (Minh et al. 2020) revealed that the isolate BS3-1 was Colletotrichum horii, and BS3-4 was Colletotrichum fioriniae. Pathogenicity was confirmed on healthy leaves of 1-year-old star anise seedlings (cultivar Dahong), and the leaves were wounded by sterilized toothpicks, and were inoculated with 10 µl of conidial suspensions of BS3-1 and BS3-4 (106 conidia/ml). Control seedlings were inoculated with sterilized distilled water. Five leaves per plant and 3 plants per treatment were selected. All inoculated seedlings were maintained in the greenhouse (12/12h light/dark, 25 ± 2℃, 90% relative humidity). Wound sites inoculated with BS3-1 and BS3-4 both turned greenish-brown after 2 days and then turned light brown with water-soaked spots. Black (BS3-1) or orange (BS3-4) dots of acervuli developed after 6 days. The lesion diameter of BS3-1 (14.4 mm) was larger than that of BS3-4 (8.1 mm). No symptoms were observed on controls. BS3-1 and BS3-4 were re-isolated from inoculated leaves, fulfilling Koch's postulates. Anthracnose of star anise caused by C.horii has been reported in China (Liao et al. 2017). However, to our knowledge, this is the first report of C.fioriniae infecting star anise in China. Accurate pathogen identification in this study could provide a reference for the control of anthracnose on star anise.