Melicope pteleifolia is a plant belonging to the Melicope genus of the Rutaceae family. Known for a bitter taste and cold nature, its stems and tender branches with leaves possess properties of clearing heat, detoxifying, dispelling wind, and removing dampness and can be used to treat sore throat, malaria, jaundice hepatitis, rheumatic bone pain, eczema, dermatitis, and sores and ulcers. In this study, 19 compounds were isolated from the chloroform and n-butanol extracts of M. pteleifolia leaves by using liquid chromatography-mass spectrometry(LC-MS) and proton nuclear magnetic resonance(~1H-NMR)-guided separation techniques. The compounds were identified as isoleptonol(1), leptaones B-E(2-5), friedelin(6), evodionol(7), ethyl p-hydroxybenzoate(8), litseachromolaevane A(9), quercetin-7,3',4'-trimethyl ether(10), kokusaginin(11), 8-(1-hydroxyethyl)-5,6,7-trimethoxy-2,2-dimethyl-2H-1-benzopyran(12), ethyl p-hydroxycinnamate(13), 3-hydroxy-9-methyl-6H-benzo\[c\]chromen-6-one(14), agrimonolide(15), 7-hydroxycoumarin(16), scopoletin(17), isoscutellarein(18), and agrimonolide 6-O-glucoside(19). Among these, the new compounds included one chromene and four meroterpenoid(1-5). The anti-inflammatory activities of the newly identified compounds 1-5 were screened in vitro, showing that the five compounds(1-5) exhibited inhibitory effects on nitric oxide(NO) production in BV2 cells induced by lipopolysaccharide(LPS)/interferon(IFN)-γ, with IC_(50) values ranging from 12.25 to 36.48 μmol·L~(-1).
Anti-Inflammatory Agents/isolation & purification* ; Mice ; Animals ; Rutaceae/chemistry* ; Drugs, Chinese Herbal/isolation & purification* ; Macrophages/immunology* ; Nitric Oxide/immunology*

The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease (CKD). However, existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes. This study presents a smartphone-integrated handheld automated biochemical analyzer (sHABA) designed for point-of-care testing of urinary albumin. The sHABA features a pre-loaded, disposable reagent cassette with reagents for the albumin assay arranged in the order of their addition within a hose. The smartphone-integrated analyzer can drive the reagents following a preset program, to enable automatic sequential addition. The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L. The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity (95.78%) and specificity (90.16%). This research advances the field by providing an automated detection method for albumin in a portable device, allowing even untrained individuals to monitor CKD in real time at the patient's bedside. In the context of promoting tiered diagnosis and treatment, the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.

Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence, particularly during the COVID-19 pandemic. It enables the population-level monitoring of illicit drug use, pathogen prevalence, and environmental pollutant exposure. In this perspective, we summarize the key challenges specific to the Chinese context: (1) Sampling inconsistencies, necessitating standardized 24-hour composite protocols with high-frequency autosamplers (≤ 15 min/event) to improve the representativeness of samples; (2) Biomarker validation, requiring rigorous assessment of excretion profiles and in-sewer stability; (3) Analytical method disparities, demanding inter-laboratory proficiency testing and the development of automated pretreatment instruments; (4) Catchment population dynamics, reducing estimation uncertainties through mobile phone data, flow-based models, or hydrochemical parameters; and (5) Ethical and data management concerns, including privacy risks for small communities, mitigated through data de-identification and tiered reporting platforms. To address these challenges, we propose an integrated framework that features adaptive sampling networks, multi-scale wastewater sample banks, biomarker databases with multidimensional metadata, and intelligent data dashboards. In summary, wastewater-based epidemiology offers unparalleled scalability for equitable health surveillance and can improve the health of the entire population by providing timely and objective information to guide the development of targeted policies.
China/epidemiology* ; Humans ; Wastewater/analysis* ; COVID-19/epidemiology* ; Public Health ; Wastewater-Based Epidemiological Monitoring ; SARS-CoV-2

In this study, we designed and synthesized 12 novel aloperine derivatives with different core structures. Among them, compound 3 with a ten-membered ring core was obtained through a special ring expansion reaction after γ-H Huffman elimination of quaternary ammonium salt, and the structure was verified by X-single crystal diffraction. Furthermore, their antiviral activity against human β-coronavirus HCoV-OC43 was evaluated by CCK-8 assay. Quaternary ammonium salt 2a and 3 had a good inhibitory effect against HCoV-OC43, and 2a had the highest anti-HCoV-OC43 activity with an EC₅₀ values of 3.77 μmol·L^-1 and a SI value of over 53.1. Schrӧdinger molecular docking results showed that both 2a and 3 might display their anti-HCoV-OC43 activity by directly acting on host TMPRSS2 and SR-B1. The results expanded the structural types of endocyclic aloperine and the function against coronavirus, and provided useful scientific data for the development of pharmaceutical applications of these compounds.

The interaction between Mycobacterium tuberculosis and host, as well as the regulation of some signaling pathways in the host, were involved in pathogen latency in macrophages. microRNAs (miRNAs) regulate the gene expression and biological functions, indicating that miRNAs played a regulatory role in bacterial infections. However, whether the host's miRNAs were also involved in the process of Mycobacterium tuberculosis infection had not been thoroughly studied. This study infected macrophages with pathogenic Mycobacterium tuberculosis strain H37Rv and low virulence strain H37Ra to explore the functional miRNAs. By identifying the expression profile of miRNAs in host cells after infection, the expression of 17 miRNAs significantly changed (P < 0.05) in the human macrophage THP-1 infected with highly pathogenic H37Rv strain (Rv), H37Rv inactivated strain (Rv-), and non-pathogenic H37Ra (Ra) strains respectively, indicating that host miRNAs may be involved in the interaction of Mycobacterium tuberculosis and host. Meanwhile, 10 types of miRNAs showed significant differences in cells infected with pathogenic and non-pathogenic Mycobacterium tuberculosis, suggesting that host miRNAs may play an important role in the pathogenicity and intracellular survival of Mycobacterium tuberculosis. Further study had found that miR-449a, miR-502-5p, and miR-708 were downregulated in cells infected with Mycobacterium marinum. Overexpression of these three miRNAs displayed the significant inhibitory effect on the growth of Mycobacterium marinum, indicating that miRNAs played a pivotal role in the interaction between the host and Mycobacterium marinum. This study provided the new insights into the pathogenesis of Mycobacterium tuberculosis and the treatment of tuberculosis.

The assessment of adverse drug events is an important basis for clinical safety evaluation and post-marketing risk control of drugs,and its causality assessment is gaining increasing attention.The existing methods for assessing the causal relationship between drugs and the occurrence of adverse reactions can be broadly classified into three categories:global introspective methods,standardized methods,and probabilistic methods.At present,there is no systematic introduction of the operational details of the various methods in the domestic literature.This paper compares representative causality assessment methods in terms of definition and concept,methodological steps,industry evaluation and advantages and disadvantages,clarifies the basic process of determining the causality of adverse drug reactions,and discusses how to further improve the adverse drug reaction monitoring and evaluation system,with a view to providing a reference for drug development and pharmacovigilance work in China.

Objective To observe the regulating effect and mechanism of Yichang Sanjie Granules on intestinal flora and immune function in mice with colon cancer.Methods Sixty mice were randomly divided into six groups,i.e.,the normal group,the model group,the low-,medium-and high-dose groups of Yichang Sanjie Granules,and the overexpression of melanoma absent gene 2(AIM2)plasmid(pcDNA-AIM2)intervention group,with 10 mice in each group.Colorectal cancer model was prepared by oxidized azomethine(AOM)/dextran sulfate sodium(DSS)induction method in all groups except normal group.After drug administration,the survival curves of mice in each group were plotted and the tumor volume was calculated;serum levels of immunoglobulin(Ig)G,IgM,interleukin(IL)-1β and IL-18 were detected by enzyme-linked immunosorbent assay(ELISA);peripheral blood levels of CD3+,CD4+,CD8+ T cells were detected by flow cytometry;the splenic index was determined;Hematoxylin-eosin(HE)staining was used to observe the pathological changes in colon tissues;16S-rDNA intestinal flora sequencing was used to detect the α-diversity of intestinal flora and the structure of intestinal flora communities;and protein immunoblotting(Wetsern Blot)was used to detect the protein expressions of AIM2,apoptosis-associated speckled-like protein containing a CARD(ASC),and cystatinase-1(caspase-1)in colon tissues.Results Compared with the normal group,the survival rate,serum levels of IgG and IgM,peripheral blood levels of CD3+ and CD4+ and CD4+/CD8+ ratio,protein expression levels of colon tissue AIM2,ASC and caspase-1 in the model group were significantly decreased,and the tumor volume,serum levels of IL-1β and IL-18,peripheral blood level of CD8+,and splenic index were significantly increased(all P＜0.05),and the HE staining results showed the characteristic manifestations of colon cancer;compared with the model group,the survival rate,serum levels of IgG and IgM,peripheral blood levels of CD3+ and CD4+ and CD4+/CD8+ ratio,protein expression levels of colon tissue AIM2,ASC and caspase-1 in the low-,medium-and high-dose groups of Yichang Sanjie Granules and the pcDNA-AIM2 group were significantly increased,and the tumor volume,serum levels of IL-1β and IL-18,level of peripheral blood CD8+,and splenic index were significantly decreased(all P＜0.05),and the HE staining results showed the manifestations of colon cancer were improved.Compared with the normal group,the Observed index,Chao1 index,Shannon index,the relative abundance of Bacteroidetes,Proteobacteria,Muribaculaceae,Lachnospiraceae-NK4A136group,and Ruminiclostridium in the model group were significantly decreased,while the relative abundance of Firmicutes,Actinobacteria,Patescibateria,Lactobacillus,Odoribacter,Alistipes,Ruminococcaceae-uncultured and Bacteroides was increased in the model group(P＜0.05);compared with the model group,the Observed index,Chao1 index,Shannon index,the relative abundance of Bacteroidetes,Proteobacteria,Muribaculaceae,Lachnospiraceae-NK4A136group and Ruminiclostridium were significantly increased,and the relative abundance of Firmicutes,Actinobacteria,Patescibateria,Lactobacillus,Odoribacter,Alistipes,Ruminococcaceae-uncultured and Bacteroides was decreased in the low-,medium-and high-dose groups of Yichang Sanjie Granules and the pcDNA-AIM2 group(all P＜0.05).Conclusion Yichang Sanjie Granules can increase autoimmunity and improve intestinal flora structure in mice with colon cancer,and its mechanism is related to the activation of AIM2 inflammatory vesicles.

Objective:To detect itching,anxiety,depression behaviors in chronic itch models of mice and observe the activation of γ-aminobutiric acid(GABA)neurons in the ventral sector of the zona incerta(ZIv),and provide mor-phological evidence for their involvement in the modulation of itch information.Methods:Diphenylcyclopropenone(DCP)was used in glutamic acid decarboxylase 67-green fluorescent protein(GAD67-GFP)knock-in mice to establish chronic itch model.Itch behaviors were detected by video tracking system to verify whether the models were successfully established.The anxiety,depression behaviors of chronic itch model mice were detected by using elevated plus maze test(EPM)and tail suspention test(TST).By using GAD67-GFP mice,the distribution of GABAergic neurons in va-rious sectors of the zona incerta(ZI)was observed.And combined with immunofluorescence staining method,double labeling of GABAergic neurons with FOS in ZIv were observed respectively in control and DCP group mice.Results:In brain slices of GAD67-GFP mice,GABAergic neurons can be observed within all sectors of ZI and are more concentrat-ed in ZIv.Compared with control group mice,DCP group mice showed a significant increase in the bouts of scratching(P＜0.001).The time of immobility in TST was significantly higher in DCP group mice than in control group mice,which displayed depression-like behavior.The EPM test showed that the numbers of entries and proportion of time in the cross region in DCP group mice were less than in control group mice.EPM test revealed that DCP group mice exhibited anxiety-like behavior.The results of immunofluorescence staining showed that the number of FOS-positive cells in ZIv was significantly higher in DCP group mice than in control group mice,and abundant co-labeled neurons of FOS and GABAergic neurons were observed in ZIv.Conclusion:GABAergic neurons were predominantly distributed in ZI,and were more concentrated in ZIv.The activation of GABAergic neurons in ZIv of DCP group mice provides morphological evidence on the involvement of GABAergic neurons in chronic itch and associated negative emotions.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

ObjectiveThe scale of microalgae farming industry is huge. During farming, it is easy for microalgae to be affected by miscellaneous bacteria and other contaminants. Because of that, periodic test is necessary to ensure the growth of microalgae. Present microscopy imaging and spectral analysis methods have higher requirements for experiment personnel, equipment and sites, for which it is unable to achieve real-time portable detection. For the purpose of real-time portable microalgae detection, a real-time microalgae detection system of low detection requirement and fast detection speed is needed. MethodsThis study has developed a microalgae detection system based on deep learning. A microscopy imaging device based on bright field was constructed. With imaged captured from the device, a neural network based on YOLOv3 was trained and deployed on microcomputer, thus realizing real-time portable microalgae detection. This study has also improved the feature extraction network by introducing cross-region residual connection and attention mechanism and replacing optimizer with Adam optimizer using multistage and multimethod strategy. ResultsWith cross-region residual connection, the mAP value reached 0.92. Compared with manual result, the detection error was 2.47%. ConclusionThe system could achieve real-time portable microalgae detection and provide relatively accurate detection result, so it can be applied to periodic test in microalgae farming.