Multiplex Aptamer-Based Fluorescence Assay Using Magnetism-Encoded Nanoparticles for Simultaneous Detection of Multiple Pathogenic Bacteria.

Multiplex assay has emerged as a robust and versatile method for the simultaneous detection of multiple analytes in a single test. However, challenges in terms of poor accuracy and complexity remained. In this work, we developed a multiplex aptamer-based fluorescence assay using magnetism-encoded nanoparticles for the simultaneous detection of multiple pathogenic bacteria. The encapsulation of different amounts of Fe3O4 nanoparticles in zeolitic imidazolate framework-90 (ZIF-90) leads to the formation of Fe3O4@ZIF-90 (FZ) composites with distinct magnetism strengths. By functionalizing a specific aptamer on the surface of the FZ composites, target bacteria can be specifically and precisely separated from a mixed sample in a sequential manner. This property allows for the simultaneous quantitative analysis of multiple target bacteria by using a single-color fluorescence label, thereby resulting in minimal spectral crosstalk interference and improved accuracy. The successful determination of multiple bacteria in contaminated milk samples demonstrates the applicability of this multiplex assay in complex biological matrices. Compared to conventional multiplex fluorescence assays, this approach offers distinct advantages of simplicity, efficiency, and implementation. We believe that this study can provide valuable insights into the development of the multiplex assay while introducing a new method for the simultaneous detection of multiple bacteria.

Impact of NDUFAF6 on breast cancer prognosis: linking mitochondrial regulation to immune response and PD-L1 expression.

BACKGROUND: Breast cancer is a major global health concern, and there is a continuous search for novel biomarkers to predict its prognosis. The mitochondrial protein NDUFAF6, previously studied in liver cancer, is now being investigated for its role in breast cancer. This study aims to explore the expression and functional significance of NDUFAF6 in breast cancer using various databases and experimental models. METHODS: We analyzed breast cancer samples from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Human Protein Atlas (HPA) databases, supplemented with immunohistochemistry (IHC) staining to assess NDUFAF6 expression. A breast cancer cell xenograft mouse model was used to evaluate tumor growth, apoptosis, and NDUFAF6 expression. Survival probabilities were estimated through Kaplan-Meier plots and Cox regression analysis. A Protein-Protein Interaction (PPI) network was constructed, and differentially expressed genes related to NDUFAF6 were analyzed using GO, KEGG, and GSEA. The relationship between NDUFAF6 expression, immune checkpoints, and immune infiltration was also evaluated. RESULTS: NDUFAF6 was found to be overexpressed in breast cancer patients and in the xenograft mouse model. Its expression correlated with worse clinical features and prognosis. NDUFAF6 expression was an independent predictor of breast cancer outcomes in both univariate and multivariate analyses. Functionally, NDUFAF6 is implicated in several immune-related pathways. Crucially, NDUFAF6 expression correlated with various immune infiltrating cells and checkpoints, particularly promoting PD-L1 expression by inhibiting the NRF2 signaling pathway. CONCLUSION: The study establishes NDUFAF6 as a potential prognostic biomarker in breast cancer. Its mechanism of action, involving the inhibition of NRF2 to upregulate PD-L1, highlights its significance in the disease's progression and potential as a target for immunotherapy.

A Multi-Layer Classifier Model XR-KS of Human Activity Recognition for the Problem of Similar Human Activity.

Sensor-based human activity recognition is now well developed, but there are still many challenges, such as insufficient accuracy in the identification of similar activities. To overcome this issue, we collect data during similar human activities using three-axis acceleration and gyroscope sensors. We developed a model capable of classifying similar activities of human behavior, and the effectiveness and generalization capabilities of this model are evaluated. Based on the standardization and normalization of data, we consider the inherent similarities of human activity behaviors by introducing the multi-layer classifier model. The first layer of the proposed model is a random forest model based on the XGBoost feature selection algorithm. In the second layer of this model, similar human activities are extracted by applying the kernel Fisher discriminant analysis (KFDA) with feature mapping. Then, the support vector machine (SVM) model is applied to classify similar human activities. Our model is experimentally evaluated, and it is also applied to four benchmark datasets: UCI DSA, UCI HAR, WISDM, and IM-WSHA. The experimental results demonstrate that the proposed approach achieves recognition accuracies of 97.69%, 97.92%, 98.12%, and 90.6%, indicating excellent recognition performance. Additionally, we performed K-fold cross-validation on the random forest model and utilized ROC curves for the SVM classifier to assess the model's generalization ability. The results indicate that our multi-layer classifier model exhibits robust generalization capabilities.

Visualizing Single-Nucleotide Variations in a Nuclear Genome Using Colocalization of Dual-Engineered CRISPR Probes.

Direct visualization of single-nucleotide variation (SNV) in single cells is of great importance for understanding the spatial organization of genomes and their relationship with cell phenotypes. Herein, we developed a new strategy for visualizing SNVs in a nuclear genome using colocalization of dual-engineered CRISPR probes (CoDEC). By engineering the structure of sgRNA, we incorporated a hairpin in the spacer domain for improving SNV recognition specificity and a loop in the nonfunctional domain for localized signal amplification. Using guide probe-based colocalization strategy, we can successfully distinguish on-target true positive signals from the off-target false positives with high accuracy. Comparing with a proximity ligation-based assay (CasPLA), the probe colocalization strategy extended applicable target gene sites (the distance between two designed probes can be extended to around 200nt) and improved detection efficiency. This newly developed method provides a facile way for studying in situ information on SNVs in individual cells for basic research and clinical applications with single-molecule and single-nucleotide resolutions.

Liposomal Antibiotic Booster Potentiates Carbapenems for Combating NDMs-Producing Escherichia coli.

Infections caused by Enterobacterales producing New Delhi Metallo-ß-lactamases (NDMs), Zn(II)-dependent enzymes hydrolyzing carbapenems, are difficult to treat. Depriving Zn(II) to inactivate NDMs is an effective solution to reverse carbapenems resistance in NDMs-producing bacteria. However, specific Zn(II) deprivation and better bacterial outer membrane penetrability in vivo are challenges. Herein, authors present a pathogen-primed liposomal antibiotic booster (M-MFL@MB), facilitating drugs transportation into bacteria and removing Zn(II) from NDMs. M-MFL@MB introduces bismuth nanoclusters (BiNCs) as a storage tank of Bi(III) for achieving ROS-initiated Zn(II) removal. Inspired by bacteria-specific maltodextrin transport pathway, meropenem-loaded BiNCs are camouflaged by maltodextrin-cloaked membrane fusion liposome to cross the bacterial envelope barrier via selectively targeting bacteria and directly outer membrane fusion. This fusion disturbs bacterial membrane homeostasis, then triggers intracellular ROS amplification, which activates Bi(III)-mediated Zn(II) replacement and meropenem release, realizing more precise and efficient NDMs producer treatment. Benefiting from specific bacteria-targeting, adequate drugs intracellular accumulation and self-activation Zn(II) replacement, M-MFL@MB rescues all mice infected by NDM producer without systemic side effects. Additionally, M-MFL@MB decreases the bacterial outer membrane vesicles secretion, slowing down NDMs producer's transmission by over 35 times. Taken together, liposomal antibiotic booster as an efficient and safe tool provides new strategy for tackling NDMs producer-induced infections.

The proliferation of beneficial bacteria influences the soil C, N, and P cycling in the soybean-maize intercropping system.

Soybean-maize intercropping system can improve the utilization rate of farmland and the sustainability of crop production systems. However, there is a significant gap in understanding the interaction mechanisms between soil carbon (C), nitrogen (N), and phosphorus (P) cycling functional genes, rhizosphere microorganisms, and nutrient availability. To reveal the key microorganisms associated with soil nutrient utilization and C, N, and P cycling function in the soybean-maize intercropping system, we investigated the changes in soil properties, microbial community structure, and abundance of functional genes for C, N, and P cycling under soybean-maize intercropping and monocropping at different fertility stages in a pot experiment. We found that there was no significant difference in the rhizosphere microbial community between soybean-maize intercropping and monocropping at the seeding stage. As the reproductive period progressed, differences in microbial community structure between intercropping and monocropping gradually became significant, manifesting the advantages of intercropping. During the intercropping process of soybean and maize, the relative abundance of beneficial bacteria in soil rhizosphere significantly increased, particularly Streptomycetaceae and Pseudomonadaceae. Moreover, the abundances of C, N, and P cycling functional genes, such as abfA, mnp, rbcL, pmoA (C cycling), nifH, nirS-3, nosZ-2, amoB (N cycling), phoD, and ppx (P cycling), also increased significantly. Redundancy analysis and correlation analysis showed that Streptomycetaceae and Pseudomonadaceae were significantly correlated with soil properties and C, N, and P cycling functional genes. In brief, soybean and maize intercropping can change the structure of microbial community and promote the proliferation of beneficial bacteria in the soil rhizosphere. The accumulation of these beneficial bacteria increased the abundance of C, N, and P cycling functional genes in soil and enhanced the ability of plants to fully utilize environmental nutrients and promoted growth.

Development and application of a high-sensitivity immunochromatographic test strip for detecting pseudorabies virus.

Introduction: Pseudorabies (PR) is a multi-animal comorbid disease caused by pseudorabies virus (PRV), which are naturally found in pigs. At the end of 2011, the emergence of PRV variant strains in many provinces in China had caused huge economic losses to pig farms. Rapid detection diagnosis of pigs infected with the PRV variant helps prevent outbreaks of PR. The immunochromatography test strip with colloidal gold nanoparticles is often used in clinical testing due to its low cost and high throughput. Methods: This study was designed to produce monoclonal antibodies targeting PRV through immunization of mice using the eukaryotic system to express the gE glycoprotein. Subsequently, paired monoclonal antibodies were screened based on their sensitivity and specificity for use in the preparation of test strips. Results and discussion: The strip prepared in this study was highly specific, only PRV was detected, and there was no cross-reactivity with glycoprotein gB, glycoprotein gC, glycoprotein gD, and glycoprotein gE of herpes simplex virus and varicellazoster virus, porcine epidemic diarrhea virus, Senecavirus A, classical swine fever virus, porcine reproductive and respiratory syndrome virus, and porcine parvovirus. Moreover, it demonstrated high sensitivity with a detection limit of 1.336 × 103 copies/µL (the number of viral genome copies per microliter); the coincidence rate with the RT-PCR detection method was 96.4%. The strip developed by our laboratory provides an effective method for monitoring PRV infection and controlling of PR vaccine quality.

Study on B16 Cell Cytotoxicity by High Frequency Reversible Electroporation With Bleomycin That Induces Hallmarks of Immunogenic Death.

Hundreds of high frequency bipolar pulse bursts with ∼1 µs have been suggested to alleviate muscle contractions and pain during the irreversible electroporation (IRE) tumor treatment. This study is performed to verify whether eight bursts of high frequency reversible electroporation pulses (HFREs) with bleomycin could be used for electrochemotherapy (ECT) tumor treatment. Firstly, in vitro experiments on B16 cells are performed to determine the cytotoxicity of the HFREs with bleomycin. The result indicates that the protocol of HFREs with bleomycin has a significant killing effect compared with only bleomycin, in which the used HFRE pulses are set to induce high membrane permeabilization while maintaining high cell viability. The immunogenic cell death (ICD) that generates danger associated molecular patterns (DAMPs) could trigger an adaptive immune response against tumors. We demonstrated that HFREs with bleomycin could trigger the hallmarks of ICD with obvious up-regulation of DAMPs, including ATP, HMGB1, and CRT. The ICD process may begin at 3 h but perform at 6 h after HFREs with bleomycin stimulation. The in vivo experiment on mice tumor treatment also showed that the protocol of HFREs with bleomycin could inhibit tumor growth with more cytotoxic CD8+ T cells infiltration. The results obtained from in vitro and in vitro experiments preliminary confirmed that the HFREs with bleomycin could be used for ECT tumor treatment associated with the hallmarks of ICD and preliminary trigger the adaptive immune response.

Radiotherapy with continued EGFR-TKIs for oligoprogressive disease in EGFR-mutated non-small cell lung cancer: A real-world study.

BACKGROUND: Epidermal growth factor receptor (EGFR)-mutated non-small cell lung cancer (NSCLC) develops resistance to tyrosine kinase inhibitors (TKIs). Here, we evaluated the efficacy of radiotherapy and continuation of TKIs in patients with advanced NSCLC with oligoprogression after EGFR-TKIs. METHODS: From January 2011 to January 2019, 33 patients with EGFR-mutated NSCLC on TKIs were treated by radiotherapy and continuation of TKIs for oligoprogressive disease. The primary endpoints were median progression-free survival 1 (mPFS1), mPFS2, and median overall survival (mOS). PFS1 was measured from the start of EGFR-TKIs therapy to the oligoprogression of the disease. PFS2 was measured from the date of oligoprogression to the further progression of the disease, while OS was calculated from oligoprogression to death from any cause or was censored at the last follow-up date. RESULT: The mPFS1, mPFS2, and mOS were 11.0 (95% CI, 4.4-17.6), 6.5 (95% CI, 1.4-11.6) and 21.8 (95% CI, 14.8-28.8) months, respectively. Univariate analysis showed that EGFR mutation type (p = 0.024), radiotherapy method (p = 0.001), and performance status (p = 0.017) were significantly correlated with PFS2. Univariate analysis showed that sex (p = 0.038), smoking history (p = 0.031), EGFR mutation type (p = 0.012), and radiotherapy method (p = 0.009) were significantly correlated with OS. Multivariate analysis suggested that radiotherapy method (p = 0.001) and performance status (p = 0.048) were prognostic factors for PFS2, and radiotherapy method (p = 0.040) was a prognostic factor for OS. CONCLUSION: Radiotherapy with continued TKIs is effective for EGFR-mutated NSCLC with oligoprogression, and it should be conducted as soon as possible. T790M+ patients have higher sensitivity to radiotherapy, and patients with good performance status and stereotactic body radiation therapy have better PFS2 and OS.

Biomimetic Mineralized CRISPR/Cas RNA Nanoparticles for Efficient Tumor-Specific Multiplex Gene Editing.

CRISPR/Cas9 systems have great potential to achieve sophisticated gene therapy and cell engineering by editing multiple genomic loci. However, to achieve efficient multiplex gene editing, the delivery system needs adequate capacity to transfect all CRISPR/Cas9 RNA species at the required stoichiometry into the cytosol of each individual cell. Herein, inspired by biomineralization in nature, we develop an all-in-one biomimetic mineralized CRISPR/Cas9 RNA delivery system. This system allows for precise control over the coencapsulation ratio between Cas9 mRNA and multiple sgRNAs, while also exhibiting a high RNA loading capacity. In addition, it enhances the storage stability of RNA at 4 °C for up to one month, and the surface of the nanoparticles can be easily functionalized for precise targeting of RNA nanoparticles in vivo at nonliver sites. Based on the above characteristics, as a proof-of-concept, our system was able to achieve significant gene-editing at each target gene (Survivin: 31.9%, PLK1: 24.41%, HPV: 23.2%) and promote apoptosis of HeLa cells in the mouse model, inhibiting tumor growth without obvious off-target effects in liver tissue. This system addresses various challenges associated with multicomponent RNA delivery in vivo, providing an innovative strategy for the RNA-based CRISPR/Cas9 gene editing.

Pathogen-Targeting Bimetallic Nanozymes as Ultrasonic-Augmented ROS Generator against Multidrug Resistant Bacterial Infection.

Clinical treatment of multidrug resistant (MDR) pathogens-induced infection is emerging as a growing challenge in global public health due to the limited selection of clinically available antibiotics. Nanozymes as artificial enzymes that mimicked natural enzyme-like activities, are received great attention for combating MDR pathogens. However, the relatively deficient catalytic activity in the infectious microenvironment and inability to precisely targeting pathogen restrains their clinical anti-MDR applications. Here, pathogen-targeting bimetallic BiPt nanozymes for nanocatalytic therapy against MDR pathogen are reported. Benefiting from electronic coordination effect, BiPt nanozymes exhibit dual-enzymatic activities, including peroxidase-mimic and oxidase-mimic activities. Moreover, the catalytic efficiency can be efficiently increased 300-fold by ultrasound under inflammatory microenvironment. Notably, BiPt nanozyme is further cloaked with a platelet-bacteria hybrid membrane (BiPt@HMVs), thus presenting excellent homing effect to infectious sites and precise homologous targeting to pathogen. By integrating accurate targeting with highly efficient catalytic, BiPt@HMVs can eliminate carbapenem-resistant Enterobacterales and methicillin-resistant Staphylococcus aureus in osteomyelitis rats model, muscle-infected mice model, and pneumonia mice model. The work provides an alternative strategy based on nanozymes for clinically addressing MDR bacteria-induced infections.

Remodeling Collagen Microenvironment in Liver Using a Biomimetic Nano-Regulator for Reversal of Liver Fibrosis.

Liver fibrosis is a progressive histological manifestation that happens in almost all chronic liver diseases. An unabated liver fibrosis may eventually develop into liver cirrhosis or hepatocellular carcinoma. Yet, the strategy for reversal of liver fibrosis is still limited. Herein, a biomimetic nano-regulator (P-ZIF8-cirDNAzyme) is developed to affect both collagen synthesis and degradation in liver to remodel collagen microenvironment. It is found that Zn (II) interference can efficiently inhibit collagen synthesis in activated hepatic stellate cells (aHSC) by inactivating proline 4 hydroxylase and affecting many fibrosis-related signaling pathways. Meanwhile, Zn (II)-dependent circular DNAzymes (cirDNAzymes) are used to efficiently silence tissue inhibitors of metalloproteinase-1, accelerating the degradation of collagen. They act in concert to recover the balance between collagen deposition and degradation. Additionally, ZIF-8-cirDNAzyme is coated by platelet membrane (PM) for precisely targeting aHSC via PM's inflammatory tropism and CD62p-CD44 interaction. In carbon tetrachloride-induced fibrotic mice, P-ZIF-8-cirDNAzyme shows a potent anti-fibrotic effect, greatly reducing the expression of collagen by 73.12% and restoring liver function nearly to normal. This work proposes a prospective platform enabling ion interference and gene silencing, collectively acting in aHSC for reversal of liver fibrosis.

Research progress in biological control of tomato bacterial wilt.

Bacterial wilt caused by the infection of Ralstonia solanacearum, is one of the most harmful diseases to tomatoes, one of the most important greenhouse vegetables in China. R. solanacearum can survive and remain active in the deep soil for a long time, and the chemical control of tomato bacterial wilt is consequently limited. In this study, we introduced the characteristics of tomato bacterial wilt disease and the types of R. solanacearum, and systematically reviewed the research progresses of biological control methods from the aspects of botanical insecticides, agricultural antibiotics, biocontrol bacteria. We emphatically introduced the principle and current status of these methods, discussed the limitations and the improvement strategies, and prospected a new environmental protection and efficient biological control system based on micro-ecological regulation would be the development direction of biological control of tomato bacterial wilt.

Identification of a novel B-cell epitope of the African swine fever virus p34 protein and development of an indirect ELISA for the detection of serum antibodies.

African swine fever (ASF) is a viral disease caused by the African swine fever virus that can be highly transmitted and lethal in domestic pigs. In the absence of a vaccine, effective diagnosis is critical for minimizing the virus's spread. In recent years, with the decline of African swine fever virus (ASFV) virulence, antibody detection has become an important means of detection. ASFV nucleocapsid protein p34 is a mature hydrolytic product of pp220, which is highly conserved and has a high content in the structural protein of the virus. Prokaryotic cells were chosen to generate highly active and high-yield p34 protein, which was then used as an antigen for producing mouse monoclonal antibodies. The B-cell epitope 202QKELDKLQT210, which was highly conserved and found on the surface of the p34 protein, was first identified by an anti-p34 monoclonal antibody utilizing the peptide scanning technique and visualized in helix. This supported the viability of p34 protein detection even further. In addition, we established an indirect ELISA assay based on p34 to detect ASFV antibodies. The coincidence rate of this method with commercially available kits was shown to be 97.83%. Sensitivity analysis revealed that it could be detected in serum dilution as low as 1:6400, and there was no cross-reaction with other prevalent porcine epidemic diseases classical swine fever virus (CSFV), foot-and-mouth disease virus (FMDV), porcine reproductive and respiratory syndrome virus (PRRSV), and porcine circovirus 2 (PCV2). In summary, the established ELISA method and anti-P34 monoclonal antibody have demonstrated that the p34 protein has a promising application prospect for the detection of African swine fever antibodies.

Retrospective Evaluation of Rabbit Antithymocyte Globulin Induction in Heart Transplant Patients.

The dosing intensity of antithymocyte globulin as induction therapy in heart transplantation remains controversial. We sought to evaluate the efficacy and safety of rabbit antithymocyte globulin at a total dose of 4.5 mg/kg compared with <4.5 mg/kg. Methods: This was a retrospective study of consecutive patients who underwent heart transplantation from January 2016 to December 2018 at a single quaternary care center. Exposure was defined as full antithymocyte globulin (4.5 mg/kg total) induction compared with partial (<4.5 mg/kg) induction. The primary outcome was the incidence of The International Society for Heart and Lung Transplantation 1990 acute cellular rejection grade 2 or above at 2 y. Secondary outcomes were all-cause mortality, number of infections, and time to therapeutic tacrolimus levels. Cox proportional hazard models were used to compare rejection rates and mortality. Results: Of 201 patients, 61 received partial and 140 received full induction. There was no difference in the cumulative incidence of cellular rejection grade 2 or above (18% versus 11.4%, P = 0.209) within 2 y. The adjusted hazard ratio was 1.45 (confidence interval: 0.62-3.37, P = 0.388) for partial compared with full induction for any grade rejection. Landmark survival analysis conditional on survival to 1 mo showed no difference in mortality (P = 0.239). There was no difference in the incidence of infection within 3 mo of transplant (partial 29.5% versus full 20.0%, P = 0.140). Both groups achieved therapeutic tacrolimus levels by day 7 after initiation. Conclusions: There was no difference in overall risk for any grade cellular rejection between partial or full dose induction therapy. Additionally, there was no difference in medium-term mortality from landmark survival analysis.

Nano-enabled Tumor Systematic Energy Exhaustion via Zinc (II) Interference Mediated Glycolysis Inhibition and Specific GLUT1 Depletion.

Despite the promise of tumor starvation therapies, they are often associated with nonspecific and incomplete energy blockade. Here, a novel paradigm of starvation therapy is proposed to synergize the "Zn2+ interference"-mediated glycolysis inhibition and Zn2+ -activating GLUT1 (Glucose transporter 1) tumor specific depletion for systematic energy exhaustion. It is discovered that ZIF-8 (zinc imidazolate metal-organic frameworks ) can induce abrupt intracellular Zn2+ elevation preferentially in melanoma cells, and then achieve effective glycolysis blockade through "Zn2+ interference"-triggered decrease of NAD+ and inactivation of GAPDH, making it a powerful tumor energy nanoinhibitor. Meanwhile, Zn2+ -activating DNAzymes for specifically cleaving GLUT1 mRNA is designed. This DNAzyme can only be activated under intracellular Zn2+ overloading, and then directionally cut off glucose supply, which further restrains the adaptive up-regulation of glycolytic flux after glycolysis inhibition in tumors. Afterward, DNAzymes are loaded in ZIF-8 concurrently tethered by hyaluronic acid (HA), constructing a "nanoenabled energy interrupter ". Such a rational design presents a preferential accumulation tendency to tumor sites due to the active CD44-targeting mechanisms, specifically achieves remarkable systematic energy exhaustion in melanoma cells, and affords 80.8% in tumor growth suppression without systemic toxicity in vivo. This work verifies a fascinating therapeutic platform enabling ion interference-inductive starvation strategy for effective tumor therapy.

Nanomaterial-Based Zinc Ion Interference Therapy to Combat Bacterial Infections.

Pathogenic bacterial infections are the second highest cause of death worldwide and bring severe challenges to public healthcare. Antibiotic resistance makes it urgent to explore new antibacterial therapy. As an essential metal element in both humans and bacteria, zinc ions have various physiological and biochemical functions. They can stabilize the folded conformation of metalloproteins and participate in critical biochemical reactions, including DNA replication, transcription, translation, and signal transduction. Therefore, zinc deficiency would impair bacterial activity and inhibit the growth of bacteria. Interestingly, excess zinc ions also could cause oxidative stress to damage DNA, proteins, and lipids by inhibiting the function of respiratory enzymes to promote the formation of free radicals. Such dual characteristics endow zinc ions with unparalleled advantages in the direction of antibacterial therapy. Based on the fascinating features of zinc ions, nanomaterial-based zinc ion interference therapy emerges relying on the outstanding benefits of nanomaterials. Zinc ion interference therapy is divided into two classes: zinc overloading and zinc deprivation. In this review, we summarized the recent innovative zinc ion interference strategy for the treatment of bacterial infections and focused on analyzing the antibacterial mechanism of zinc overloading and zinc deprivation. Finally, we discuss the current limitations of zinc ion interference antibacterial therapy and put forward problems of clinical translation for zinc ion interference antibacterial therapy.

Bionic Regulators Break the Ecological Niche of Pathogenic Bacteria for Modulating Dysregulated Microbiome in Colitis.

Therapeutic approaches that reprogram the gut microbiome are promising strategies to alleviate and cure inflammatory bowel disease (IBD). However, abnormal expansion of Escherichia coli during inflammation can promote pathogenic bacteria occupying ecological niches to resist reprogramming of the microbiome. Herein, a bionic regulator (CaWO4 @YCW) is developed to efficiently and precisely regulate the gut microbiome by specifically suppressing the abnormal expansion of E. coli during colitis and boosting probiotic growth. Inspired by the binding of E. coli strains to the mannose-rich yeast cell wall (YCW), YCW is chosen as the bionic shell to encapsulate CaWO4 . It is demonstrated that the YCW shell endows CaWO4 with superior resistance to the harsh environment of the gastrointestinal tract and adheres to the abnormally expanded E. coli in colitis, specifically as a positioner. Notably, the high expression of calprotectin at the colitis site triggers the release of tungsten ions through calcium deprivation in CaWO4 , thus inhibiting E. coli growth by replacing molybdenum in the molybdopterin cofactor. Moreover, YCW functions as a prebiotic and promotes probiotic growth. Consequently, CaWO4 @YCW can efficiently and precisely reprogram the gut microbiome by eliminating pathogenic bacteria and providing prebiotics, resulting in an extraordinary therapeutic advantage for DSS-induced colitis.

Calibration of an Accelerometer Activity Index among Older Women and Its Association with Cardiometabolic Risk Factors.

Purpose: Traditional summary metrics provided by accelerometer device manufacturers, known as counts, are proprietary and manufacturer specific, making them difficult to compare studies using different devices. Alternative summary metrics based on raw accelerometry data have been introduced in recent years. However, they were often not calibrated on ground truth measures of activity-related energy expenditure for direct translation into continuous activity intensity levels. Our purpose is to calibrate, derive, and validate thresholds among women 60 years and older based on a recently proposed transparent raw data based accelerometer activity index (AAI), and to demonstrate its application in association with cardiometabolic risk factors. Methods: We first built calibration equations for estimating metabolic equivalents (METs) continuously using AAI and personal characteristics using internal calibration data (n=199). We then derived AAI cutpoints to classify epochs into sedentary behavior and intensity categories. The AAI cutpoints were applied to 4,655 data units in the main study. We then utilized linear models to investigate associations of AAI sedentary behavior and physical activity intensity with cardiometabolic risk factors. Results: We found that AAI demonstrated great predictive accuracy for METs (R2=0.74). AAI-based physical activity measures were associated in the expected directions with body mass index (BMI), blood glucose, and high density lipoprotein (HDL) cholesterol. Conclusion: The calibration framework for AAI and the cutpoints derived for women older than 60 years can be applied to ongoing epidemiologic studies to more accurately define sedentary behavior and physical activity intensity exposures which could improve accuracy of estimated associations with health outcomes.

Investigating Heritage Language Processing: Meaning Composition in Chinese Classifier-Noun Phrasal Contexts.

The aim of the present study was to investigate how Chinese-Malay bilingual speakers with Chinese as heritage language process semantic congruency effects in Chinese and how their brain activities compare to those of monolingual Chinese speakers using electroencephalography (EEG) recordings. To this end, semantic congruencies were manipulated in Chinese classifier-noun phrases, resulting in four conditions: (i) a strongly constraining/high-cloze, plausible (SP) condition, (ii) a weakly constraining/low-cloze, plausible (WP) condition, (iii) a strongly constraining/implausible (SI) condition, and (iv) a weakly constraining/implausible (WI) condition. The analysis of EEG data focused on two event-related potential components, i.e., the N400, which is known for its sensitivity to semantic fit of a target word to its context, and a post-N400 late positive complex (LPC), which is linked to semantic integration after prediction violations and retrospective, evaluative processes. We found similar N400/LPC effects in response to the manipulations of semantic congruency in the mono- and bilingual groups, with a gradient N400 pattern (WI/SI > WP > SP), a larger frontal LPC in response to WP compared to SP, SI, and WI, as well as larger centro-parietal LPCs in response to WP compared to SI and WI, and a larger centro-parietal LPC for SP compared to SI. These results suggest that, in terms of event-related potential (ERP) data, Chinese-Malay early bilingual speakers predict and integrate upcoming semantic information in Chinese classifier-noun phrase to the same extent as monolingual Chinese speakers. However, the global field power (GFP) data showed significant differences between SP and WP in the N400 and LPC time windows in bilinguals, whereas no such effects were observed in monolinguals. This finding was interpreted as showing that bilinguals differ from their monolingual peers in terms of global field power intensity of the brain by processing plausible classifier-noun pairs with different congruency effects.