In a healthy human, the airway mucus forms a thin, protective liquid layer covering the surface of the respiratory tract. It comprises a complex blend of mucin, multiple antibacterial proteins, metabolic substances, water, and electrolytes. This mucus plays a pivotal role in the lungs' innate immune system by maintaining airway hydration and capturing airborne particles and pathogens. However, heightened mucus secretion in the airway can compromise ciliary clearance, obstruct the respiratory tract, and increase the risk of pathogen colonization and recurrent infections. Consequently, a thorough exploration of the mechanisms driving excessive airway mucus secretion is crucial for establishing a theoretical foundation for the eventual development of targeted drugs designed to reduce mucus production. Across a range of lung diseases, excessive airway mucus secretion manifests with unique characteristics and regulatory mechanisms, all intricately linked to mucin. This article provides a comprehensive overview of the characteristics and regulatory mechanisms associated with excessive airway mucus secretion in several prevalent lung diseases.
Humans ; Mucus/metabolism* ; Mucins/physiology* ; Lung Diseases/metabolism* ; Respiratory Mucosa/metabolism* ; Pulmonary Disease, Chronic Obstructive/physiopathology* ; Asthma/physiopathology* ; Cystic Fibrosis/physiopathology* ; Mucociliary Clearance/physiology*

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*

OBJECTIVE: To investigate the effects of acupuncture on the neurotransmitter levels and gut microbiota in a mouse model of Tourette syndrome (TS). METHODS: Thirty-six male C57/BL6 mice were randomly divided into 4 groups using a random number table method: 3,3'-iminodipropionitrile (IDPN) group, control group, acupuncture group, and tiapride group, with 9 mice in each group. In the IDPN group, acupuncture group, and tiapride group, mice received daily intraperitoneal injections of IDPN (300 mg/kg body weight) for 7 consecutive days to induce stereotyped behaviors. Subsequently, in the acupuncture intervention group, standardized acupuncture treatment was administered for 14 consecutive days to IDPN-induced TS model mice. The selected acupoints included Baihui (DU 20), Yintang (DU 29), Waiguan (SJ 5), and Zulinqi (GB 41). In the tiapride group, mice were administered tiapride (50 mg/kg body weight) via oral gavage daily for 14 consecutive days. The control group, IDPN group, and acupuncture group received the same volume of saline orally for 14 consecutive days. Stereotypic behaviors were quantified through behavioral assessments. Neurotransmitter levels, including dopamine (DA), glutamate (Glu), and aspartate (ASP) in striatal tissue were measured using enzyme-linked immunosorbent assay. Dopamine transporter (DAT) expression levels were additionally quantified through quantitative polymerase chain reaction (qPCR). Gut microbial composition was analyzed through 16S ribosomal RNA gene sequencing, while metabolic profiling was conducted using liquid chromatography-mass spectrometry (LC-MS). RESULTS: Acupuncture administration significantly attenuated stereotypic behaviors, concurrently reducing striatal levels of DA, Glu and ASP concentrations while upregulating DAT expression compared with untreated TS controls (P<0.05 or P<0.01). Comparative analysis identified significant differences in Muribaculaceae (P=0.001), Oscillospiraceae (P=0.049), Desulfovibrionaceae (P=0.001), and Marinifilaceae (P=0.014) following acupuncture intervention. Metabolomic profiling revealed alterations in 7 metabolites and 18 metabolic pathways when compared to the TS mice, which involved various amino acid metabolisms associated with DA, Glu, and ASP. CONCLUSIONS Acupuncture demonstrates significant modulatory effects on both central neurotransmitter systems and gut microbial ecology, thereby highlighting its dual therapeutic potential for TS management through gut-brain axis regulation.
Animals ; Tourette Syndrome/metabolism* ; Gastrointestinal Microbiome ; Neurotransmitter Agents/metabolism* ; Acupuncture Therapy ; Male ; Mice, Inbred C57BL ; Mice

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

ObjectiveTransfusion-Related Acute Lung Injury （TRALI） is a common fatal transfusion adverse reaction. Major Histocompatibility Complex （MHC） class I is an important factor involved in the pathogenesis of TRALI； however， the role of complement in itspathogenesis has not been fully elucidated. This study aims to explore the role of complement in MHC class I antibody-mediated TRALI， so as to provide a theoretical basis for clinical prevention and treatment. MethodsThis study established a murine model of transfusion-related acute lung injury （TRALI） based on the "two-hit" theory， with lipopolysaccharide （LPS） as the first hit and MHC class I antibody as the second hit. Male Balb/c mice were randomly divided into seven groups （n=5 per group per experiment）： Naive （blank control）， LPS （first hit only）， Isotype （isotype antibody control）， TRALI （model group）， C5aR1 inhi （C5aR1 antagonist intervention）， C5aR2 inhi （C5aR2 antagonist intervention）， and Anti-C5 （anti-complement C5 antibody intervention）. Rectal temperature was monitored after MHC class I antibody injection. After sample collection， the severity of pulmonary edema was assessed by measuring the lung wet-to-dry weight ratio， histological analysis， and immunohistochemistry. Serum and bronchoalveolar lavage fluid were collected to measure cytokine and complement levels. ResultsMice in the TRALI group exhibited a significant decrease in rectal temperature， an increased lung wet-to-dry weight ratio， elevated serum cytokine levels， and markedly heightened complement C5a levels in bronchoalveolar lavage fluid （P＜0.000 1）. Histopathological examination revealed substantial infiltration of inflammatory cells， predominantly neutrophils accompanied by fewer lymphocytes， plasma cells， and monocytes， along with increased deposition of the membrane attack complex C5b-9 in lung tissues. In contrast， mice treated with anti-C5 antibody demonstrated no significant decrease in rectal temperature. The lung wet-to-dry weight ratio in this group showed no statistical difference compared to either the Naive or Isotype control groups （P＞0.05）. Furthermore， these mice displayed reduced serum cytokine levels， a significant attenuation of inflammatory cell infiltration in the lungs， and a 100% survival rate at the 2-hour time point. However， mice administered either the C5aR1 antagonist or the C5aR2 antagonist failed to be protected and subsequently developed TRALI. ConclusionComplement activation， which forms the membrane attack complex C5b-9， plays a critical role in MHC class I antibody-mediated TRALI. Blocking complement C5 activation can effectively prevent the occurrence of TRALI.

Phosgene is a highly reactive chemical substance and a prevalent chemical warfare agent,and it is vitally important for rapid and accurate detection of phosgene to counteract terrorist threats and industrial accidents.In this work,a phosgene probe,designated as SX-Pho,which incorporated benzimidazole and hydroxyl groups as recognition motifs,was prepared through Suzuki coupling and Debus-Radziszewski methodologies to incorporate an electron-donating carbazole moiety.This probe exhibited a large Stokes shift(Approximately 130 nm).Upon exposure to triphosgene/triethylamine conditions(in situ phosgene generation),the fluorescence emission of probe at 470 nm underwent significant quenching,with a 20-fold reduction in intensity,while the fluorescence lifetime decreased from 3.30 ns to 3.06 ns.Concentration titration experiments demonstrated that SX-Pho achieved a lower detection limit of 57.8 nmol/L with high specificity and interference resistance.Preton nuclear magnetic resonance spectroscopy(1H NMR),high-resolution mass spectrometry,and density functional theory(DFT)calculations confirmed the cyclization reaction between hydroxyl groups,imines,and phosgene.The extent of overlap between the highest occupied molecular orbital(HOMO)and the lowest unoccupied molecular orbital(LUMO)was notably decreased,leading to the suppression of radiative transitions.The energy gap underwent a reduction of 0.43 eV,while the non-radiative transition was augmented,resulting in fluorescence quenching and achieving rapid detection of phosgene.Based on this,probe-loaded test strips were prepared.The color change under 365 nm illumination allowed visual discrimination of phosgene at concentrations below 20 μL/L.Furthermore,using a smartphone's built-in RGB application to measure the intensity of the blue(B)channel after the test strips were exposed to phosgene enabled both qualitative and quantitative detection.The detection range was 1.82-50 μL/L,with a limit of detection(LOD)of 1.814 μL/L.

In the 1950s and 1960s,Japan's implementation of policies prioritizing economic develop-ment caused a lack of effective supervision over the discharge of industrial wastewater and exhaust gases,which led to the occurrence of the"Four Major Pollution Diseases",including Minamata disease,causing serious social and public health problems.To more effectively address public nuisances and pro-vide compensation to victims,the Japanese government gradually established an environmental damage compensation system with administrative relief characteristics since the 1970s.Through long-term prac-tice and system optimization,this system has evolved into a mature institutional framework with a clear division of labor and efficient collaboration.This paper systematically reviews the development process of Japan's environmental damage compensation system and deeply analyzes its legal frame-work and supporting policies,aiming to provide useful references for the construction and improve-ment of China's environmental damage compensation system.Meanwhile,through the case analysis of Minamata disease,the paper explores the specific mechanisms and effects in the compensation practices,further revealing the system's operational characteristics and implications,and providing a reference ba-sis for the construction of China's environmental governance legal system.

Objective To analyze the characteristics of methadone-related poisoning cases and provide a reference for forensic identification.Methods A total of 71 cases of methadone-related poisoning re-ported from 1998 to 2023 in China and 26 cases of methadone-related deaths reported from 2013 to 2018 in Italy were retrieved from databases including PubMed,Wanfang and CNKI.The general infor-mation,forensic pathological and toxicological characteristics were analyzed.Results Among the 71 methadone-related poisoning cases in China,there were 54 cases(76.06%)of poisoning without death and 17 cases(23.94%)of death from poisoning.There were 54 male cases(76.06%),and 51 cases(71.83%)aged 19 to 39 years old.There were 35 cases(49.30%)of poisoning caused by methadone alone,and 32 cases(45.07%)were poisoning caused by methadone combined with other substances or drugs including heroin and benzodiazepines.Most of the poisoned showed coma,respiratory depres-sion and miosis.Signs of asphyxia were often found by autopsy.The mass concentration of methadone detected in the blood of 6 deceased ranged from 0.112 to 3.000 mg/L.Among the 26 methadone-related deaths in Italy,22 cases were male(84.62%).There were 6 cases(23.08%)caused by methadone alone,and 20 cases(76.92%)died from methadone combined with other substances or drugs.The mass concentration of methadone in blood ranged from 0.181 to 4.059 mg/L.Conclusion The propor-tions of poisoning cases caused by methadone alone and methadone combined with other substances or drugs are comparable in China.The majority of deceased caused by methadone poisoning shows typi-cal triad of coma,respiratory depression and miosis,which helps forensic experts determine the cause of death related to methadone.Additionally,it is necessary to increase the routine testing of the con-centration of methadone and its combined substances or drugs in deceased,and collect data for the in-terpretation of the results of related cases.

Objective To investigate the relationship between serum forkhead box F1(FOXF1)and Ape-lin-13 levels and carotid atherosclerosis(CAS)in elderly patients with type 2 diabetes mellitus(T2DM).Methods From January 2022 to March 2024,207 elderly T2DM patients admitted to the hospital(T2DM group)and 52 healthy elderly patients underwent physical examination(control group)were selected as the study objects.The elderly T2DM patients were divided into CAS group(128 cases)and non-CAS group(79 cases)according to the occurrence of CAS.Serum FOXF1 and Apelin-13 levels were detected by real-time flu-orescent quantitative PCR and enzyme-linked immunoadsorption assay.The influencing factors of CAS in eld-erly T2DM patients were determined by multivariate unconditional Logistic regression,and the predictive effi-cacy of serum FOXF1 and Apelin-13 levels was analyzed by receiver operating characteristic curve.Results The levels of FOXF1 and Apelin-13 in T2DM group were lower than those in control group(P＜0.05).The inci-dence of CAS in 207 elderly T2DM patients was 61.84％(128/207).The levels of serum FOXF1 and Apelin-13 in CAS group were lower than those in non-CAS group(P＜0.05).The independent risk factors of CAS in elderly T2DM patients were the duration of T2DM,glycosylated hemoglobin and low density lipoprotein cho-lesterol(P＜0.05),and the independent protective factors were FOXF1 and Apelin-13(P＜0.05).The com-bined prediction of serum FOXF1 and Apelin-13 levels for CAS in elderly T2DM patients was 0.882,which was larger than 0.782 and 0.791 predicted by serum FOXF1 and Apelin-13 levels alone(P＜0.05).Conclu-sion The decrease of serum FOXF1 and Apelin-13 levels in elderly T2DM patients is closely related to CAS,and the combined detection of serum FOXF1 and Apelin-13 levels has a high predictive effect on CAS in elder-ly T2DM patients.

Objective To propose a high-precision deep learning-based image assessment method of osteosarcoma chemotherapy efficacy for clinical treatment,as existing methos have low accuracy of osteosarcoma assessment.Methods The low incidence of osteosarcoma led to the small scale of its imaging data and the problem of imbalance in data categories.This study combined deep learning with clinical medical information,combined the bone sarcoma generation module of BoneGAN and the scale lesion information capture module,and proposed OMLA-Net,a deep learning assessment network for chemotherapy effect of bone sarcoma based on multi-scale lesion attention network,which achieved computer-aided bone tumor assessment with integrated data augmentation and focused lesion information through pre-training and generalized loss training.Results In this study,40 cases of osteosarcoma MRI data were used as the basis for the comparison test on the generated dataset,and the OMLA-Net assessment outperformed the SOTA method Conv-LSTM-GAN in terms of the assessment effects such as accuracy and F1 scores,and the difference was statistically significant(Bootstrap statistical method P＜0.05);the subsequent K-fold cross-validation ablation experiments further demonstrated the effectiveness of each module proposed by OMLA-Net.Conclusion OMLA-Net can effectively perform the impact assessment of chemotherapy effect on osteosarcoma,which provides a new idea for subsequent clinical application.