Fabrication of nanogels to improve the toxicity and persistence of cycloxaprid against Diaphorina citri, the vector of citrus huanglongbing.

INTRODUCTION: Diaphorina citri is the most serious pest of citrus worldwide because it is the natural insect vector of huanglongbing. Cycloxaprid (Cyc) was highly toxic to D. citri. However, the poor solubility and stability had limited its development. OBJECTIVES: In order to improve the insecticidal effect and stability to harsh climatic conditions of Cyc. METHODS: Cyc was chosen as the representative pesticide, 4,4'-methylenebis (phenyl isocyanate), PEG-600 and n-butanol were used to prepare sustained-release nano-gelation particles (Cyc@NGs). RESULTS: Cyc@NGs enhance the toxicity of Cyc more than 3 folds. Furthermore, Cyc@NGs showed excellent anti-rain and anti-UV capacity. After being exposed to ultraviolet light for 12 h, Cyc decreased by 100 %, while the insecticide content of Cyc@NGs only decreased by 25 %. Additionally, Cyc@NGs possessed better wettability on citrus leaves, mainly benefitting from its lower contact angle on citrus leaves. Moreover, FITC-labeled nano-gelation particles (FITC-NGs) exhibited high capability to penetrate and enrich in citrus leaf tissue and D. citri midgut. Consequently, NGs promoted the translocation and durability of insecticides, thereby, increasing the insecticidal activity. The results suggested that nano-gelation particle is a promising platform to deliver insecticides and Cyc@NGs would be the suitable candidate for the effective management of D. citri.

Development of a staging system for hepatoid adenocarcinoma of the stomach based on multicenter data: A retrospective cohort study: A Staging System for Hepatoid Adenocarcinoma of the Stomach.

BACKGROUND: Hepatoid adenocarcinoma of the stomach (HAS) is a rare subtype of gastric cancer (GC) with a poor prognosis. Furthermore, the current pathological staging system for HAS does not distinguish it from that for common gastric cancer (CGC). METHODS: The clinicopathological data of 251 patients with primary HAS who underwent radical surgery at 14 centers in China from April 2004 to December 2019 and 5082 patients with primary CGC who underwent radical surgery at 2 centers during the same period were retrospectively analyzed. A modified staging system was established based on the differences in survival. RESULTS: After 1:4 propensity score matching (PSM), 228 patients with HAS and 828 patients with CGC were analyzed. Kaplan-Meier (K-M) analysis showed patients with HAS had a poorer prognosis compared with CGC. Multivariate analysis identified pN stage, CEA level, and perineural invasion (PNI) as independent prognostic factors in patients with HAS. A modified pT (mpT) staging was derived using recursive partitioning analysis (RPA) incorporating PNI and pT staging. The modified pathological staging system (mpTNM) integrated the mpT and the 8th American Joint Committee on Cancer (AJCC) pN definitions. Multivariate analysis showed that mpTNM stage outperformed other pathological variables as independent predictors of OS and RFS in patients with HAS. The mpTNM staging system exhibited significantly higher predictive accuracy for 3-year OS in patients with HAS (0.707, 95% CI: 0.650-0.763) compared to that of the 8th AJCC staging system (0.667, 95% CI: 0.610-0.723, P<0.05). Analysis using the Akaike information criterion favored the mpTNM staging system over the 8th AJCC staging system (824.69 vs. 835.94) regarding the goodness of fit. The mpTNM stages showed improved homogeneity in survival prediction (likelihood ratio: 41.51 vs. 27.10). Comparatively the mpTNM staging system outperformed the 8th AJCC staging system in survival prediction, supported by improvements in the net reclassification index (NRI: 47.7%) and integrated discrimination improvement (IDI: 0.083, P<0.05). Time-dependent ROC curve showed that the mpTNM staging system consistently outperformed the 8th AJCC staging system with increasing observation time. CONCLUSION: The mpTNM staging system exhibited superior postoperative prognostic accuracy for patients with HAS compared to the 8th AJCC staging system.

A two-in-one molybdenum disulfide-chitosan nanoparticles system for activating plant defense mechanisms and reactive oxygen species to treat Citrus Huanglongbing.

Citrus Huanglongbing (HLB) poses an enormous challenge to Citrus cultivation worldwide, necessitating groundbreaking interventions beyond conventional pharmaceutical methods. In this study, we propose molybdenum disulfide-chitosan nanoparticles (MoS2-CS NPs) through electrostatic adsorption, preserving the plant-beneficial properties of molybdenum disulfide (MoS2), while enhancing its antibacterial effectiveness through chitosan modification. MoS2-CS NPs exhibited significant antibacterial efficacy against RM1021, and the closest relatives to Candidatus Liberibacter asiaticus (CLas), Erwinia carotovora, and Xanthomonas citri achieved survival rates of 7.40 % ± 1.74 %, 8.94 % ± 1.40 %, and 6.41 % ± 0.56 %, respectively. In vivo results showed, CLas survival rate of 10.42 % ± 3.51 %. Furthermore, treatment with MoS2-CS NPs resulted in an increase in chlorophyll and carotenoid content. Concomitantly, a significant reduction in malondialdehyde (MDA), soluble sugar, hydrogen peroxide (H2O2), and starch contents was also observed. Mechanistically, MoS2-CS NPs enhanced the activity of antioxidant-related enzymes by upregulating the expression of antioxidant genes, thereby galvanizing the antioxidant system to alleviate oxidative stress. Collectively, this dual functionality-combining direct antibacterial action with the activation of plant defense mechanisms-marks a promising strategy for managing Citrus Huanglongbing and suggests potential agricultural applications for MoS2-based antibacterial treatments.

A systematic review of environmental covariates and methods for spatial or temporal scrub typhus distribution prediction.

BACKGROUND: Scrub typhus is underdiagnosed and underreported but emerging as a global public health problem. To inform future burden and prediction studies we examined through a systematic review the potential effect of environmental covariates on scrub typhus occurrence and the methods which have been used for its prediction. METHODS: In this systematic review, we searched PubMed, Scopus, Web of Science, China National Knowledge Infrastructure and other databases, with no language and publication time restrictions, for studies that investigated environmental covariates or utilized methods to predict the spatial or temporal human. Data were manually extracted following a set of queries and systematic analysis was conducted. RESULTS: We included 68 articles published in 1978-2024 with relevant data from 7 countries/regions. Significant environmental risk factors for scrub typhus include temperature (showing positive or inverted-U relationships), precipitation (with positive or inverted-U patterns), humidity (exhibiting complex positive, inverted-U, or W-shaped associations), sunshine duration (with positive, inverted-U associations), elevation, the normalized difference vegetation index (NDVI), and the proportion of cropland. Socioeconomic and biological factors were rarely explored. Autoregressive Integrated Moving Average (ARIMA) (n = 8) and ecological niche modelling (ENM) approach (n = 11) were the most popular methods for predicting temporal trends and spatial distribution of scrub typhus, respectively. CONCLUSIONS: Our findings summarized the evidence on environmental covariates affecting scrub typhus occurrence and the methodologies used for predictive modelling. We review the existing knowledge gaps and outline recommendations for future studies modelling disease prediction and burden. TRIAL REGISTRATION: PROSPERO CRD42022315209.

Correction: Enhancing the chemotherapeutic efficacy of platinum prodrug nanoparticles and inhibiting cancer metastasis by targeting iron homeostasis.

Correction for 'Enhancing the chemotherapeutic efficacy of platinum prodrug nanoparticles and inhibiting cancer metastasis by targeting iron homeostasis' by Fang Ding et al., Nanoscale Horiz., 2020, 5, 999-1015, https://doi.org/10.1039/D0NH00148A.

Halloysite-based inorganic-organic hybrid coatings for durable flame retardant, hydrophobic and antibacterial properties of cotton fabrics.

Developing durable protective cotton fabrics (CF) against potential environmental dangers such as fire hazards and bacterial growth remains an imperative but tough challenge. In this study, flame retardant, antibacterial and hydrophobic CF were successfully prepared via two-step coating. The inner coating entailed polyelectrolyte complexes consisting of polyethyleneimine and ammonium polyphosphate with the goal of enhancing the flame retardancy of CF. Halloysite nanotubes (HNTs), a kind of tubular silicate mineral, were creatively modified and introduced to multifunctional coatings to improve flame retardant and antibacterial properties of CF. N-halamine modified HNTs (HNTs-EA-Cl) and polydimethylsiloxane were applied as the outer coating to endow CF with antibacterial and hydrophobic properties and further improve the flame retardancy of CF. After halloysite-based inorganic-organic hybrid coatings, the limiting oxygen index of the treated samples (PAHP-CF) was over 28 %, and the release of heat and smoke was significantly inhibited. PAHP-CF could inactivate 100 % E. coli and S. aureus within 2 h. More importantly, PAHP-CF showed excellent hydrophobicity with a water contact angle of 148° and exhibited great prevention of bacterial adhesion. PAHP-CF exhibited excellent washing durability undergoing 5 washing cycles. This study promotes the development of multifunctional coatings and offers a new way to manufacture multifunctional cotton fabrics.

Risk factors analysis of noninvasive positive pressure ventilation in inpatients with overlapping syndrome of chronic obstructive pulmonary disease combined with obstructive sleep apnea.

OBJECTIVE: The aim of the study was to analyze the clinical data of patients with chronic obstructive pulmonary disease and obstructive sleep apnea overlap syndrome (OS) during hospitalization and to evaluate the risk factors of patients treated with Non-Invasive Ventilation (NIV). METHODS: Demographic and clinical data of patients with confirmed OS during hospitalization were retrospectively collected. The patients were divided into two groups according to whether noninvasive ventilator was used during hospitalization, including OS treated with NIV (244 cases) and OS without NIV (239 cases). The t-test, χ 2 test, and Kaplan-Meier curve were used to compare the two groups, and multiple logistic regression was used to analyze the risk factors of NIV in patients with OS. RESULTS: Compared with the OS group without NIV, the pulmonary hypertension, lymphocyte count, and left ventricular ejection fraction% of OS patients with NIV were lower, whereas PCO2, uric acid, C-reactive protein, procalcitonin, and N-terminal pro-B-type natriuretic peptide were higher, with statistical differences (P < 0.05). During hospitalization and follow-up, OS patients with NIV had a longer hospital stay (P < 0.001), and there was no significant difference in the rate of readmission within 28 days. The logistic regression analysis showed that the history of diuretic use, previous history of noninvasive ventilator use, and ischemic heart disease were independent risk factors for NIV treatment in OS patients during hospitalization. CONCLUSION: Patients with OS undergoing NIV during hospitalization exhibited more severe overall illness and had prolonged hospital stays compared to OS patients not receiving NIV. History of diuretic use, history of NIV use, and ischemic heart disease are independent risk factors for NIV treatment in OS patients during hospitalization.

The Application of Health Management and Drug Self-management Education in the Control of Chronic Diseases in the Elderly: A Retrospective Study.

Objective: The objective of this study was to analyze the application of health management and medication self-management education in the control of chronic diseases in the elderly, specifically focusing on patients with diabetes, hypertension, cardiovascular diseases, and chronic obstructive pulmonary disease (COPD). The study aimed to assess the impact of these interventions on patients> self-management abilities, quality of life, medication adherence, intervention satisfaction, and the occurrence of adverse events. The findings aimed to provide a scientific basis for improving elderly chronic disease management and enhancing patients> health and quality of life. Methods: A total of 106 elderly chronic disease patients admitted to our hospital from July 2021 to April 2023 were selected as the research subjects. All patients met the complete inclusion criteria. They were divided into two groups based on the type of health management intervention received. The control group (n=53) received conventional health management intervention. In contrast, the observation group (n=53) received health management from the medical examination center based on the PDCA model and medication self-management education intervention. The self-management ability, quality of life, medication adherence, occurrence of adverse events, and intervention satisfaction of the two groups of patients were compared. The PDCA (Plan-Do-Check-Act) model was chosen as the framework for this study due to its systematic approach to management and its potential to address the specific needs and complexities associated with chronic diseases in the elderly. The PDCA model emphasizes a continuous cycle of improvement, involving planning, implementation, evaluation, and adjustment of interventions. Results: Before the intervention, there was no significant difference in self-concept, self-management responsibility, self-management knowledge, and self-management skills between the two groups (P > .05). After the intervention, the observation group's self-concept, self-management responsibility, self-management knowledge, and self-management skills were significantly higher than those of the control group (P < .05). Before the intervention, there was no significant difference in SF-36 scores between the two groups (P > .05). After the intervention, the SF-36 scores of the observation group were significantly higher than those of the control group (P < .05). The medication adherence score in the control group was (5.73±0.92), and the incidence of adverse events was 32.08%. In the observation group, the medication adherence score was (7.42±0.81), and the incidence of adverse events was 11.32%. The medication adherence score in the observation group was significantly higher than that in the control group, and the incidence of adverse events was significantly lower than that in the control group (P < .05). The intervention satisfaction in the control group was 73.58%. In comparison, the intervention satisfaction in the observation group was 96.23%, indicating that the intervention satisfaction in the observation group was significantly higher than that in the control group (P < .05). These results suggest that the implementation of the PDCA model in health management and medication self-management education can enhance patients' self-management abilities, improve medication adherence, and ultimately lead to better quality of life and reduced risk of adverse events for elderly chronic disease patients. Conclusion: The application of health management and medication self-management education based on the PDCA model in the control of elderly chronic diseases is ideal. Compared to conventional health management interventions, the former can enhance patients' self-management abilities and improve medication adherence, thereby further improving patients' quality of life, satisfaction, and the risk of adverse events. Therefore, this approach is worthy of clinical promotion and application.

The Development of Spinal Endoscopic Ultrasonic Imaging System with an Automated Tissue Recognition Algorithm.

STUDY DESIGN: Preclinical experimental study. OBJECTIVE: To develop an intraoperative ultrasound-assisted imaging device, which could be placed at the surgical site through an endoscopic working channel and which could help surgeon recognition of different tissue types during endoscopic spinal surgery (ESS). SUMMARY OF BACKGROUND DATA: ESS remains a challenging task for spinal surgeons. Great proficiency and experience are needed to perform procedures such as intervertebral discectomy and neural decompression within a narrow channel. The limited surgical view poses a risk of damaging important structures, such as nerve roots. METHODS: We constructed a spinal endoscopic ultrasound system, using a 4-mm custom ultrasound probe, which can be easily inserted through the ESS working channel, allowing up to 10 mm depth detection. This system was applied to ovine lumbar spine samples to obtain ultrasound images. Subsequently, we proposed a two-stage classification algorithm, based on a pretrained DenseNet architecture for automated tissue recognition. The recognition algorithm was evaluated using accuracy and consistency. RESULTS: The probe can be easily used in the ESS working channel and produce clear and characteristic ultrasound images. We collected 367 images for training and testing of the recognition algorithm, including images of the spinal cord, nucleus pulposus, adipose tissue, bone, annulus fibrosus and nerve roots. The algorithm achieved over 90% accuracy in recognizing all types of tissues with a Kappa value of 0.875. The recognition times were under 0.1 s using the current configuration. CONCLUSION: Our system was able to be used in existing ESS working channels and clearly identified at-risk spinal structures in vitro. The pretrained algorithms could identify six intraspinal tissue types accurately and quickly. The concept and innovative application of intraoperative ultrasound in ESS may shorten the learning curve of ESS and improve surgical efficiency and safety.

The complex hexaploid oil-Camellia genome traces back its phylogenomic history and multi-omics analysis of Camellia oil biosynthesis.

Oil-Camellia (Camellia oleifera), belonging to the Theaceae family Camellia, is an important woody edible oil tree species. The Camellia oil in its mature seed kernels, mainly consists of more than 90% unsaturated fatty acids, tea polyphenols, flavonoids, squalene and other active substances, which is one of the best quality edible vegetable oils in the world. However, genetic research and molecular breeding on oil-Camellia are challenging due to its complex genetic background. Here, we successfully report a chromosome-scale genome assembly for a hexaploid oil-Camellia cultivar Changlin40. This assembly contains 8.80 Gb genomic sequences with scaffold N50 of 180.0 Mb and 45 pseudochromosomes comprising 15 homologous groups with three members each, which contain 135 868 genes with an average length of 3936 bp. Referring to the diploid genome, intragenomic and intergenomic comparisons of synteny indicate homologous chromosomal similarity and changes. Moreover, comparative and evolutionary analyses reveal three rounds of whole-genome duplication (WGD) events, as well as the possible diversification of hexaploid Changlin40 with diploid occurred approximately 9.06 million years ago (MYA). Furthermore, through the combination of genomics, transcriptomics and metabolomics approaches, a complex regulatory network was constructed and allows to identify potential key structural genes (SAD, FAD2 and FAD3) and transcription factors (AP2 and C2H2) that regulate the metabolism of Camellia oil, especially for unsaturated fatty acids biosynthesis. Overall, the genomic resource generated from this study has great potential to accelerate the research for the molecular biology and genetic improvement of hexaploid oil-Camellia, as well as to understand polyploid genome evolution.

Associations between exposure to various air pollutants and risk of metabolic syndrome: a systematic review and meta-analysis.

BACKGROUND: Metabolic Syndrome (MetS) is a widely observed metabolic disorder that is increasingly prevalent worldwide, leading to substantial societal consequences. Previous studies have conducted two separate meta-analyses to investigate the relationship between MetS and air pollutants. However, these studies yielded conflicting results, necessitating a thorough systematic review and meta-analysis to reassess the link between different air pollutants and the risk of developing MetS. METHODS: We conducted a comprehensive search of relevant literature in databases including PubMed, Embase, Cochrane Library, and Web of Science up to October 9, 2023. The search was specifically restricted to publications in the English language. Following the screening of studies investigating the correlation between air pollution and MetS, we utilized random-effects models to calculate pooled effect sizes along with their respective 95% confidence intervals (CIs). We would like to highlight that this study has been registered with PROSPERO, and it can be identified by the registration number CRD42023484421. RESULTS: The study included twenty-four eligible studies. The results revealed that an increase of 10 µg/m3 in annual concentrations of PM1, PM2.5, PM10, NO2, SO2, and O3 was associated with a 29% increase in metabolic syndrome (MetS) risk for PM1 (OR = 1.29 [CI 1.07-1.54]), an 8% increase for PM2.5 (OR = 1.08 [CI 1.06-1.10]), a 17% increase for PM10 (OR = 1.17 [CI 1.08-1.27]), a 24% increase for NO2 (OR = 1.24 [CI 1.01-1.51]), a 19% increase for SO2 (OR = 1.19 [CI 1.04-1.36]), and a 10% increase for O3 (OR = 1.10 [CI 1.07-1.13]). CONCLUSION: The findings of this study demonstrate a significant association between exposure to fine particulate matter (PM1, PM2.5, PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and the incidence of metabolic syndrome (MetS). Moreover, the results suggest that air pollution exposure could potentially contribute to the development of MetS in humans.

Characteristics of the time processing of adults' strongest sustained attentional bias toward neutral infant faces.

Previous studies have shown that adults exhibit the strongest attentional bias toward neutral infant faces when viewing faces with different expressions at different attentional processing stages due to different stimulus presentation times. However, it is not clear how the characteristics of the temporal processing associated with the strongest effect change over time. Thus, we combined a free-viewing task with eye-tracking technology to measure adults' attentional bias toward infant and adult faces with happy, neutral, and sad expressions of the same face. The results of the analysis of the total time course indicated that the strongest effect occurred during the strategic processing stage. However, the results of the analysis of the split time course revealed that sad infant faces first elicited adults' attentional bias at 0 to 500 ms, whereas the strongest effect of attentional bias toward neutral infant faces was observed at 1000 to 3000 ms, peaking at 1500 to 2000 ms. In addition, women and men had no differences in their responses to different expressions. In summary, this study provides further evidence that adults' attentional bias toward infant faces across stages of attention processing is modulated by expressions. Specifically, during automatic processing adults' attentional bias was directed toward sad infant faces, followed by a shift to the processing of neutral infant faces during strategic processing, which ultimately resulted in the strongest effect. These findings highlight that this strongest effect is dynamic and associated with a specific time window in the strategic process.

Biotin-new indocyanine green conjugate: Synthesis, in vitro photocytotoxicity and in vivo biodistribution.

New indocyanine green (ICG) (IR820) is one of the ICG derivatives and attracts increasing attention for cancer management. However, the unsatisfactory tumor targeting ability of IR820 significantly limits its applications for cancer theranostics. Biotin receptor is overexpressed on the membrane of various tumor cells and biotin modified nanocarriers have been reported to enhance the tumor targeting ability on several tumor types. In this work, biotin-new ICG conjugate (Biotin-SS-IR820) was prepared for tumor-targeted IR820 delivery. Biotin and IR820 were coupled through cystamine. The synthesized Biotin-SS-IR820 was characterized by 1 H NMR, FT-IR and HRMS. The in vitro singlet oxygen generation study shows that Biotin-SS-IR820 exhibits similar singlet oxygen generation as compared to IR820 upon 660 nm laser irradiation (0.8 W/cm2 ). The cellular uptake study shows that Biotin-SS-IR820 shows enhanced cellular uptake amount as compared to IR820 on 4T1 cells. As a result, Biotin-SS-IR820 displays enhanced in vitro photodynamic therapeutic effect against 4T1 cells as compared to IR820. In in vivo biodistribution study, Biotin-SS-IR820 shows enhanced tumor accumulation as compared to IR820. Biotin-SS-IR820 developed in this work shows promising prospects for targeted delivery of IR820 to biotin receptor overexpressed tumors.

Predicting COVID-19 Re-Positive Cases in Malnourished Older Adults: A Clinical Model Development and Validation.

Purpose: Building and validating a clinical prediction model for novel coronavirus (COVID-19) re-positive cases in malnourished older adults. Patients and Methods: Malnourished older adults from January to May 2023 were retrospectively collected from the Department of Geriatrics of the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine. They were divided into a "non-re-positive" group and a "re-positive" group based on the number of COVID-19 infections, and into a training set and a validation set at a 7:3 ratio. The least absolute shrinkage and selection operator (LASSO) regression analysis was used to identify predictive factors for COVID-19 re-positivity in malnourished older adults, and a nomogram was constructed. Independent influencing factors were screened by multivariate logistic regression. The model's goodness-of-fit, discrimination, calibration, and clinical impact were assessed by Hosmer-Lemeshow test, area under the curve (AUC), calibration curve, decision curve analysis (DCA), and clinical impact curve analysis (CIC), respectively. Results: We included 347 cases, 243 in the training set, and 104 in the validation set. We screened 10 variables as factors influencing the outcome. By multivariate logistic regression analysis, preliminary identified protective factors, risk factors, and independent influencing factors that affect the re-positive outcome. We constructed a clinical prediction model for COVID-19 re-positivity in malnourished older adults. The Hosmer-Lemeshow test yielded χ2 =5.916, P =0.657; the AUC was 0.881; when the threshold probability was >8%, using this model to predict whether malnourished older adults were re-positive for COVID-19 was more beneficial than implementing intervention programs for all patients; when the threshold was >80%, the positive estimated value was closer to the actual number of cases. Conclusion: This model can help identify the risk of COVID-19 re-positivity in malnourished older adults early, facilitate early clinical decision-making and intervention, and have important implications for improving patient outcomes. We also expect more large-scale, multicenter studies to further validate, refine, and update this model.

LAPTM4B-mediated hepatocellular carcinoma stem cell proliferation and MDSC migration: implications for HCC progression and sensitivity to PD-L1 monoclonal antibody therapy.

In hepatocellular carcinoma (HCC), immunotherapy is vital for advanced-stage patients. However, diverse individual responses and tumor heterogeneity have resulted in heterogenous treatment outcomes. Our mechanistic investigations identified LAPTM4B as a crucial gene regulated by ETV1 (a transcription factor), especially in liver cancer stem cells (LCSCs). The influence of LAPTM4B on LCSCs is mediated via the Wnt1/c-Myc/ß-catenin pathway. CXCL8 secretion by LAPTM4B drove myeloid-derived suppressor cell (MDSC) migration, inducing unfavorable patient prognosis. LAPTM4B affected PD-L1 receptor expression in tumor microenvironment and enhanced tumor suppression induced by PD-L1 monoclonal antibodies in HCC patients. LAPTM4B up-regulation is correlated with adverse outcomes in HCC patients, sensitizing them to PD-L1 monoclonal antibody therapy.

Discovering Cathodic Biocompatibility for Aqueous Zn-MnO2 Battery: An Integrating Biomass Carbon Strategy.

Developing high-performance aqueous Zn-ion batteries from sustainable biomass becomes increasingly vital for large-scale energy storage in the foreseeable future. Therefore, γ-MnO2 uniformly loaded on N-doped carbon derived from grapefruit peel is successfully fabricated in this work, and particularly the composite cathode with carbon carrier quality percentage of 20 wt% delivers the specific capacity of 391.2 mAh g-1 at 0.1 A g-1, outstanding cyclic stability of 92.17% after 3000 cycles at 5 A g-1, and remarkable energy density of 553.12 Wh kg-1 together with superior coulombic efficiency of ~ 100%. Additionally, the cathodic biosafety is further explored specifically through in vitro cell toxicity experiments, which verifies its tremendous potential in the application of clinical medicine. Besides, Zinc ion energy storage mechanism of the cathode is mainly discussed from the aspects of Jahn-Teller effect and Mn domains distribution combined with theoretical analysis and experimental data. Thus, a novel perspective of the conversion from biomass waste to biocompatible Mn-based cathode is successfully developed.

Projecting spatiotemporal dynamics of severe fever with thrombocytopenia syndrome in the mainland of China.

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with increasing incidence and geographic extent. The extent to which global climate change affects the incidence of SFTS disease remains obscure. We use an integrated multi-model, multi-scenario framework to assess the impact of global climate change on SFTS disease in China. The spatial distribution of habitat suitability for the tick Haemaphysalis longicornis was predicted by applying a boosted regression tree model under four alternative climate change scenarios (RCP2.6, RCP4.5, RCP6.0, and RCP8.5) for the periods 2030-2039, 2050-2059, and 2080-2089. We incorporate the SFTS cases in the mainland of China from 2010 to 2019 with environmental variables and the projected distribution of H. longicornis into a generalized additive model to explore the current and future spatiotemporal dynamics of SFTS. Our results demonstrate an expanded geographic distribution of H. longicornis toward Northern and Northwestern China, showing a more pronounced change under the RCP8.5 scenario. In contrast, the environmental suitability of H. longicornis is predicted to be reduced in Central and Eastern China. The SFTS incidence in three time periods (2030-2039, 2050-2059, and 2080-2089) is predicted to be increased as compared to the 2010s in the context of various RCPs. A heterogeneous trend across provinces, however, was observed, when an increased incidence in Liaoning and Shandong provinces, while decreased incidence in Henan province is predicted. Notably, we predict possible outbreaks in Xinjiang and Yunnan in the future, where only sporadic cases have been reported previously. These findings highlight the need for tick control and population awareness of SFTS in endemic regions, and enhanced monitoring in potential risk areas.

De novo genome assembly depicts the immune genomic characteristics of cattle.

Immunogenomic loci remain poorly understood because of their genetic complexity and size. Here, we report the de novo assembly of a cattle genome and provide a detailed annotation of the immunogenomic loci. The assembled genome contains 143 contigs (N50 ~ 74.0 Mb). In contrast to the current reference genome (ARS-UCD1.2), 156 gaps are closed and 467 scaffolds are located in our assembly. Importantly, the immunogenomic regions, including three immunoglobulin (IG) loci, four T-cell receptor (TR) loci, and the major histocompatibility complex (MHC) locus, are seamlessly assembled and precisely annotated. With the characterization of 258 IG genes and 657 TR genes distributed across seven genomic loci, we present a detailed depiction of immune gene diversity in cattle. Moreover, the MHC gene structures are integrally revealed with properly phased haplotypes. Together, our work describes a more complete cattle genome, and provides a comprehensive view of its complex immune-genome.

CCL2 Promotes Novel Coronavirus-Mediated Inflammatory Responses in Macrophages.

PURPOSE: The hyperinflammatory response is one of the main complications associated with novel coronavirus disease 2019 (COVID-19), and there is no effective treatment for cytokine storm. Therefore, it is important to investigate the key genes associated with severity of the disease. METHODS: In this study, we used a microarray data set to analyze the key genes associated with severe illness in patients with COVID-19. The proportion of immune cells was determined using the CIBERSORT algorithm. The key genes were further verified by detecting the levels of cytokines and chemokines in the serum of patients. Additionally, macrophages were stimulated with SARS-CoV-2 spike protein and chemokine ligand (CCL) 2. The expression of cytokines, ERK1/2, and NF-κB in macrophages was detected. RESULTS: Four hub genes were identified. Among them, C-C motif chemokine receptor 2 (CCR2) was an upregulated hub gene, while killer cell lectin-like receptor subfamily K member 1 (KLRK1), macrophage colony-stimulating factor receptor (CSF1R), and CD3D human recombinant protein (CD3D) were downregulated genes. Immune cell type identification found that the proportion of monocytes was higher in patients with severe COVID-19 than that in controls. Moreover, levels of CCL2 were significantly higher in patients with COVID-19. When stimulated with SARS-CoV-2 S protein and CCL2, macrophages secreted more inflammatory cytokines. The expression level of ERK1/2 was elevated. CONCLUSIONS: These results suggested that S protein and CCL2 may mediate macrophage inflammatory responses through the ERK1/2 signaling pathway. This study provides a basis for clinical treatment and improves the prognosis of critically ill patients with COVID-19.