OBJECTIVES: To investigate pharmacologically active components of Yiqi Zishen Formula (YZF) and their mechanisms for alleviating airway inflammation in mice with chronic obstructive pulmonary disease (COPD). METHODS: Ultra-high-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry was employed to characterize the chemical components in YZF and YZF-medicated rat serum. A compound-disease target network was constructed based on serum components of YZF to screen the key pathways and targets using enrichment analysis. A mouse model of cigarette smoke-induced COPD was used to evaluate the anti-inflammatory effect of YZF and validate the expression of key proteins in network pharmacology-enriched pathways. Fifty male C57BL/6J mice were randomized equally into control group, COPD model group, high- and low-dose YZF treatment groups, and N-acetylcysteine treatment group. Pulmonary function of the mice was assessed using whole-body plethysmography, and lung histopathology, alveolar structure, and airway remodeling were analyzed using HE staining. The levels of IL-1β, IL-6, and TNF‑α in bronchoalveolar lavage fluid (BALF) were determined with ELISA, and pulmonary expressions of PI3K, Akt, phosphorylated Akt (p-Akt), p65, and phosphorylated p65 (p-p65) were detected using immunohistochemistry. RESULTS: We identified a total of 156 chemical components (including 26 flavonoids or flavonoid glycosides, 27 alkaloids, and 11 saponins) in YZF and 43 prototype components in medicated rat serum. Network pharmacology revealed 704 YZF-related targets and 1199 COPD-associated targets. Integrated analysis suggested that the anti-COPD effects of YZF were associated with the PI3K-Akt signaling pathway. In mouse models of COPD, YZF treatment significantly increased mean alveolar number and peak expiratory flow (P<0.05), reduced mean linear intercept, bronchial wall thickness, lung coefficient, and BALF cytokine levels, and suppressed the expressions of PI3K, Akt, p-Akt, p65, and p-p65 in the lung tissues. CONCLUSIONS YZF alleviates COPD symptoms and airway inflammation in mice possibly by inhibiting the PI3K/Akt/NF‑κB pathway through its multiple components that interact with multiple targets.
Animals ; Pulmonary Disease, Chronic Obstructive/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Signal Transduction/drug effects* ; Male ; Mice, Inbred C57BL ; Mice ; Proto-Oncogene Proteins c-akt/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; NF-kappa B/metabolism* ; Inflammation/drug therapy* ; Rats

Chemotherapy-induced peripheral neurotoxicity (CIPN) is a severe dose-limiting adverse event of chemotherapy. Presently, the mechanism underlying the induction of CIPN remains unclear, and no effective treatment is available. In this study, through metabolomics analyses, we found that nab-paclitaxel therapy markedly increased serum serotonin [5-hydroxtryptamine (5-HT)] levels in both cancer patients and mice compared to the respective controls. Furthermore, nab-paclitaxel-treated enterochromaffin (EC) cells showed increased 5-HT synthesis, and serotonin-treated Schwann cells showed damage, as indicated by the activation of CREB3L3/MMP3/FAS signaling. Venlafaxine, an inhibitor of serotonin and norepinephrine reuptake, was found to protect against nerve injury by suppressing the activation of CREB3L3/MMP3/FAS signaling in Schwann cells. Remarkably, venlafaxine was found to significantly alleviate nab-paclitaxel-induced CIPN in patients without affecting the clinical efficacy of chemotherapy. In summary, our study reveals that EC cell-derived 5-HT plays a critical role in nab-paclitaxel-related neurotoxic lesions, and venlafaxine co-administration represents a novel approach to treating chronic cumulative neurotoxicity commonly reported in nab-paclitaxel-based chemotherapy.
Paclitaxel/toxicity* ; Animals ; Albumins/adverse effects* ; Serotonin/metabolism* ; Mice ; Humans ; Male ; Female ; Venlafaxine Hydrochloride/therapeutic use* ; Neurotoxicity Syndromes/metabolism* ; Middle Aged ; Schwann Cells/metabolism* ; Peripheral Nervous System Diseases/drug therapy* ; Antineoplastic Agents

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective To investigate pharmacologically active components of Yiqi Zishen Formula(YZF)and their mechanisms for alleviating airway inflammation in mice with chronic obstructive pulmonary disease(COPD).Methods Ultra-high-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry was employed to characterize the chemical components in YZF and YZF-medicated rat serum.A compound-disease target network was constructed based on serum components of YZF to screen the key pathways and targets using enrichment analysis.A mouse model of cigarette smoke-induced COPD was used to evaluate the anti-inflammatory effect of YZF and validate the expression of key proteins in network pharmacology-enriched pathways.Fifty male C57BL/6J mice were randomized equally into control group,COPD model group,high-and low-dose YZF treatment groups,and N-acetylcysteine treatment group.Pulmonary function of the mice was assessed using whole-body plethysmography,and lung histopathology,alveolar structure,and airway remodeling were analyzed using HE staining.The levels of IL-1β,IL-6,and TNF-α in bronchoalveolar lavage fluid(BALF)were determined with ELISA,and pulmonary expressions of PI3K,Akt,phosphorylated Akt(p-Akt),p65,and phosphorylated p65(p-p65)were detected using immunohistochemistry.Results We identified a total of 156 chemical components(including 26 flavonoids or flavonoid glycosides,27 alkaloids,and 11 saponins)in YZF and 43 prototype components in medicated rat serum.Network pharmacology revealed 704 YZF-related targets and 1199 COPD-associated targets.Integrated analysis suggested that the anti-COPD effects of YZF were associated with the PI3K-Akt signaling pathway.In mouse models of COPD,YZF treatment significantly increased mean alveolar number and peak expiratory flow(P<0.05),reduced mean linear intercept,bronchial wall thickness,lung coefficient,and BALF cytokine levels,and suppressed the expressions of PI3K,Akt,p-Akt,p65,and p-p65 in the lung tissues.Conclusion YZF alleviates COPD symptoms and airway inflammation in mice possibly by inhibiting the PI3K/Akt/NF-κB pathway through its multiple components that interact with multiple targets.

Objective The effect of lunar dust adhesion performance by fiber surface characteristics were investigated for the lunar dust adhesion mitigation of spacesuits.Methods In this research,an adhesion test method under ultraviolet ray radiation in vacuum was developed to measure the adhesion quantity of simulated lunar dust on fiber materials.Based on the microscopic image of the fiber sample after test,the influence of conductive and surface energy characteristics of the fiber materials on the lunar dust adhesion performance was studied.Results The simulated lunar dust were activated under ultraviolet ray radiation,which induced an increase of the adhesion quantity of simulated lunar dust on fiber materials;Lower surface energy or higher conductive characteristics of the fiber was both beneficial to reduce the adhesion quantity of simulated lunar dust.Conclusion The static electric forces were likely to be the major forces between the fiber and the lunar dust under ultraviolet ray radiation in vacuum.In addition to reducing surface energy,improving conductive characteristics of the fiber was more beneficial to reduce the adhesion quantity of simulated lunar dust.

Objective To analyze the characteristics of real-world adverse drug events(ADEs)of trabectedin based on the FDA Adverse Event Reporting System(FAERS)database in order to provide references for clinical drug safety management.Methods A total of 1 349 trabectedin-related reports were extracted from the FAERS database from Q1 2007 to Q4 2024.Using the MedDRA coding classification system for system organ class(SOC)and preferred term(PT),signal detection was performed through 4 proportional imbalance methods,including reporting odds ratio(ROR)and proportional reporting ratio(PRR).Subgroup analyses by gender,age,and temporal trends were also conducted.Results Hematological and lymphatic system disorders and hepatobiliary system disorders were the primary SOCs involved.High-frequency PTs included neutropenia(123 cases)and anemia(117 cases).Eight potential ADEs that have not been listed in the drug product instruction were identified.The median onset time of ADEs was 21 d,showing an early failure pattern,with differences observed by gender(females more prone to hematological toxicity)and age(elderly more susceptible to febrile neutropenia).Conclusion Trabectedin requires close attention to hematological toxicity,hepatotoxicity,and newly identified multi-system potential risks.Clinically,monitoring should be strengthened based on time windows and population characteristics to optimize drug regimens.Countermeasure It is recommended to strengthen the full cycle monitoring of anti-tumor drugs,standardize the reporting of adverse reactions,and establish a multi-departmental collaborative research platform.

Objective:To analyze the burden and trends of noncommunicable chronic disease(NCD) attributable to metabolic factors in China from 1990 to 2021.Methods:Data from the Global Burden of Diseases(GBD) 2021 database were utilized to describe changes in mortality and disability-adjusted life years(DALYs) of NCD in China from 1990 to 2021. Stratified analyses were conducted by age, sex, sociodemographic index(SDI), and related risk factors. Statistical analyses and predictions were conducted using the age-period-cohort model and the Nordpred model.Results:In 2021, the age-standardized mortality rate and age-standardized DALYs rate of NCD attributable to metabolic factors in China were 227.56 per 100 000 and 4 829.39 per 100 000, respectively. Their average annual percentage changes were -0.76%( P<0.001) and -0.77%( P<0.001). Overall, the burden decreased progressively with higher SDI levels. Analysis using the age-period-cohort model indicated reduced birth cohort and period effects for metabolic factor-attributable NCD, while age effects rose significantly. The minimum relative risk( RR) value was observed in the 15-19 age group( RR=0.01), and the maximum RR value occurred in the 95-99 age group( RR=996.86). The overall rising mortality trend indicated that age effects are the predominant driver at present. Projections estimate that by 2046, deaths from metabolic factor-attributable NCD in China will reach 8 189 563, with an age-standardized mortality rate of 236.95 per 100 000. Conclusions:China continues to face a substantial burden of NCD linked to metabolic factors, with older adults, males, and individuals with hypertension, diabetes, and prediabetes identified as key populations requiring targeted interventions.

Objective To develop and validate an automated organoid image segmentation approach based on deep learning for addressing the issues of high misidentification rate,blurred boundary and poor generalization in current organoid segmentation,thereby facilitating researchers to monitor and analyze organoid growth more efficiently.Methods The wavelet scattering coefficient matrix and capsule convolution module were integrated into the U-Net architecture to construct the organoid image segmentation model OrgCapsU-Net which was trained and evaluated on 3 organoid image datasets from different tissue sources.Results Compared with current mainstream segmentation algorithms,OrgCapsU-Net could better distinguish organoid and impurity,and lead to smoother segmentation boundaries,achieving superior performance across 4 evaluation metrics on 3 datasets.Conclusion OrgCapsU-Net delivers excellent segmentation performance and can be applied to organoids from various tissue sources,showing strong potential for applications in the in vitro model establishment,high-throughput drug screening,and personalized medicine.

Objective To develop and validate an automated organoid image segmentation approach based on deep learning for addressing the issues of high misidentification rate,blurred boundary and poor generalization in current organoid segmentation,thereby facilitating researchers to monitor and analyze organoid growth more efficiently.Methods The wavelet scattering coefficient matrix and capsule convolution module were integrated into the U-Net architecture to construct the organoid image segmentation model OrgCapsU-Net which was trained and evaluated on 3 organoid image datasets from different tissue sources.Results Compared with current mainstream segmentation algorithms,OrgCapsU-Net could better distinguish organoid and impurity,and lead to smoother segmentation boundaries,achieving superior performance across 4 evaluation metrics on 3 datasets.Conclusion OrgCapsU-Net delivers excellent segmentation performance and can be applied to organoids from various tissue sources,showing strong potential for applications in the in vitro model establishment,high-throughput drug screening,and personalized medicine.

Objective:To analyze the burden and trends of noncommunicable chronic disease(NCD) attributable to metabolic factors in China from 1990 to 2021.Methods:Data from the Global Burden of Diseases(GBD) 2021 database were utilized to describe changes in mortality and disability-adjusted life years(DALYs) of NCD in China from 1990 to 2021. Stratified analyses were conducted by age, sex, sociodemographic index(SDI), and related risk factors. Statistical analyses and predictions were conducted using the age-period-cohort model and the Nordpred model.Results:In 2021, the age-standardized mortality rate and age-standardized DALYs rate of NCD attributable to metabolic factors in China were 227.56 per 100 000 and 4 829.39 per 100 000, respectively. Their average annual percentage changes were -0.76%( P<0.001) and -0.77%( P<0.001). Overall, the burden decreased progressively with higher SDI levels. Analysis using the age-period-cohort model indicated reduced birth cohort and period effects for metabolic factor-attributable NCD, while age effects rose significantly. The minimum relative risk( RR) value was observed in the 15-19 age group( RR=0.01), and the maximum RR value occurred in the 95-99 age group( RR=996.86). The overall rising mortality trend indicated that age effects are the predominant driver at present. Projections estimate that by 2046, deaths from metabolic factor-attributable NCD in China will reach 8 189 563, with an age-standardized mortality rate of 236.95 per 100 000. Conclusions:China continues to face a substantial burden of NCD linked to metabolic factors, with older adults, males, and individuals with hypertension, diabetes, and prediabetes identified as key populations requiring targeted interventions.