Chronic diabetic wounds, severely complicated by multidrug-resistant (MDR) bacterial infections, represent a profound and escalating global health crisis. The intrinsically hostile microenvironment of diabetic wounds, characterized by localized hypoxia, persistent oxidative stress, and poor vascularization, creates an ideal niche for opportunistic pathogens such as Staphylococcus aureus and Pseudomonas aeruginosa. These bacteria readily construct dense extracellular polymeric substance (EPS) biofilms, which not only physically shield the microbes from host immune responses but also actively trap the wound in a state of chronic, unresolved inflammation. Consequently, conventional systemic and topical antibiotic therapies are becoming increasingly futile, as poor perfusion at the wound site restricts drug bioavailability, while the rapid genetic evolution of bacteria and the impenetrable nature of biofilms lead to catastrophic treatment failures, often culminating in severe tissue necrosis and lower-extremity amputations. To circumvent the limitations of traditional antimicrobials, therapeutic gas delivery has emerged as a highly promising, paradigm-shifting strategy. Gaseous signaling molecules, particularly nitric oxide (NO), carbon monoxide (CO), hydrogen sulfide (H₂S), and hydrogen (H₂), possess unique physicochemical properties that allow them to seamlessly penetrate dense biofilm matrices and cellular membranes. Once inside, these gases operate via multi-targeted mechanisms that are incredibly difficult for bacteria to develop resistance against; for instance, NO induces severe lipid peroxidation and DNA cleavage in bacteria, CO downregulates pro-inflammatory cytokines, H₂S significantly accelerates endothelial cell migration for neovascularization, and H₂ acts as a powerful selective antioxidant to neutralize tissue-damaging reactive oxygen species (ROS). Together, these therapeutic gases not only exert broad-spectrum bactericidal effects but also actively reprogram the wound bed by promoting the critical M1-to-M2 macrophage polarization and stimulating angiogenesis. Despite their immense biological potential, the direct clinical translation of gas therapies is severely hindered by inherent physicochemical drawbacks, including extreme volatility, short physiological half-lives, poor aqueous solubility, and the high risk of off-target systemic toxicity, if applied indiscriminately. To conquer these immense pharmacokinetic barriers, cutting-edge advancements in materials science have driven the development of gas-releasing micro- and nanoplatforms. Utilizing sophisticated carriers such as metal-organic frameworks (MOFs), mesoporous silica, polymeric nanoparticles, liposomes, and injectable hydrogels, researchers can now encapsulate gas-donor molecules to achieve sustained, localized delivery. More importantly, these advanced nanoplatforms are ingeniously engineered to be stimuli-responsive. By exploiting the pathological hallmarks of the diabetic wound environment, such as elevated glucose concentrations, acidic pH, and overexpressed ROS, or by utilizing external triggers like near-infrared (NIR) light irradiation and ultrasound, these intelligent platforms ensure on-demand, precise spatio-temporal gas release. This often allows for powerful synergistic combinations, such as photothermal or photodynamic therapy coupled with gas release, thereby obliterating biofilms while sparing healthy tissue. While the therapeutic outcomes of these smart delivery systems in eradicating MDR infections and accelerating tissue repair are unprecedented, several critical challenges remain before widespread clinical adoption, as long-term biosafety profiles of the carrier nanomaterials, complexities in large-scale good manufacturing practice (GMP) production, and stringent regulatory hurdles must be rigorously addressed. Looking forward, the next frontier lies in the realm of precision medicine and theranostics, where future research must focus on the seamless integration of these gas-releasing platforms with flexible, wearable biosensors capable of continuously monitoring wound biomarkers (e.g., pH, temperature, uric acid) in real-time. Coupled with artificial intelligence algorithms to govern automated, closed-loop adaptive dosing, these next-generation smart dressings hold the ultimate potential to comprehensively transform the clinical management of complex, infected diabetic wounds.

Objective To summarize the clinical characteristics and analyze prognostic factors of neuroblastoma (NB) in infants (≤12 months) at a single center. Methods A retrospective analysis was conducted on the clinical data of infant patients (≤12 months) diagnosed with NB and treated between January 2014 and December 2022. Clinical features were analyzed, and comparisons between two sample rates were performed using the χ² test. Univariate prognostic analysis was conducted using the log-rank test, and survival outcomes were analyzed using the Kaplan-Meier method. Results A total of 42 infants (≤12 months) with NB were enrolled. Low-risk patients underwent surgical resection alone; intermediate-risk patients received surgery combined with chemotherapy with or without maintenance therapy; high-risk patients were treated with surgery and chemotherapy with or without maintenance therapy or radiotherapy. The 5-year event-free survival (EFS) rate was (92.7±4.9)%, and the 5-year overall survival rate was (95.2±3.6)%. Only two patients died because of tumor recurrence or progression. Univariate analysis identified MYCN amplification and the initial lactate dehydrogenase (LDH) level ≥ five times the upper limit of the normal were significantly associated with poor prognosis (5-year EFS: 33.3% vs. 97.4% and 60.0% vs. 97.3%, P<0.0001 and P=0.0035). Conclusion Infant NB has a favorable overall prognosis. MYCN amplification and markedly elevated initial LDH are associated with poor outcomes.

Chronic diabetic wounds, severely complicated by multidrug-resistant (MDR) bacterial infections, represent a profound and escalating global health crisis. The intrinsically hostile microenvironment of diabetic wounds, characterized by localized hypoxia, persistent oxidative stress, and poor vascularization, creates an ideal niche for opportunistic pathogens such as Staphylococcus aureus and Pseudomonas aeruginosa. These bacteria readily construct dense extracellular polymeric substance (EPS) biofilms, which not only physically shield the microbes from host immune responses but also actively trap the wound in a state of chronic, unresolved inflammation. Consequently, conventional systemic and topical antibiotic therapies are becoming increasingly futile, as poor perfusion at the wound site restricts drug bioavailability, while the rapid genetic evolution of bacteria and the impenetrable nature of biofilms lead to catastrophic treatment failures, often culminating in severe tissue necrosis and lower-extremity amputations. To circumvent the limitations of traditional antimicrobials, therapeutic gas delivery has emerged as a highly promising, paradigm-shifting strategy. Gaseous signaling molecules, particularly nitric oxide (NO), carbon monoxide (CO), hydrogen sulfide (H₂S), and hydrogen (H₂), possess unique physicochemical properties that allow them to seamlessly penetrate dense biofilm matrices and cellular membranes. Once inside, these gases operate via multi-targeted mechanisms that are incredibly difficult for bacteria to develop resistance against; for instance, NO induces severe lipid peroxidation and DNA cleavage in bacteria, CO downregulates pro-inflammatory cytokines, H₂S significantly accelerates endothelial cell migration for neovascularization, and H₂ acts as a powerful selective antioxidant to neutralize tissue-damaging reactive oxygen species (ROS). Together, these therapeutic gases not only exert broad-spectrum bactericidal effects but also actively reprogram the wound bed by promoting the critical M1-to-M2 macrophage polarization and stimulating angiogenesis. Despite their immense biological potential, the direct clinical translation of gas therapies is severely hindered by inherent physicochemical drawbacks, including extreme volatility, short physiological half-lives, poor aqueous solubility, and the high risk of off-target systemic toxicity, if applied indiscriminately. To conquer these immense pharmacokinetic barriers, cutting-edge advancements in materials science have driven the development of gas-releasing micro- and nanoplatforms. Utilizing sophisticated carriers such as metal-organic frameworks (MOFs), mesoporous silica, polymeric nanoparticles, liposomes, and injectable hydrogels, researchers can now encapsulate gas-donor molecules to achieve sustained, localized delivery. More importantly, these advanced nanoplatforms are ingeniously engineered to be stimuli-responsive. By exploiting the pathological hallmarks of the diabetic wound environment, such as elevated glucose concentrations, acidic pH, and overexpressed ROS, or by utilizing external triggers like near-infrared (NIR) light irradiation and ultrasound, these intelligent platforms ensure on-demand, precise spatio-temporal gas release. This often allows for powerful synergistic combinations, such as photothermal or photodynamic therapy coupled with gas release, thereby obliterating biofilms while sparing healthy tissue. While the therapeutic outcomes of these smart delivery systems in eradicating MDR infections and accelerating tissue repair are unprecedented, several critical challenges remain before widespread clinical adoption, as long-term biosafety profiles of the carrier nanomaterials, complexities in large-scale good manufacturing practice (GMP) production, and stringent regulatory hurdles must be rigorously addressed. Looking forward, the next frontier lies in the realm of precision medicine and theranostics, where future research must focus on the seamless integration of these gas-releasing platforms with flexible, wearable biosensors capable of continuously monitoring wound biomarkers (e.g., pH, temperature, uric acid) in real-time. Coupled with artificial intelligence algorithms to govern automated, closed-loop adaptive dosing, these next-generation smart dressings hold the ultimate potential to comprehensively transform the clinical management of complex, infected diabetic wounds.

The epidemiological and spatiotemporal clustering characteristics of dengue fever in Fujian Province were ana-lyzed,to provide a scientific basis for dengue fever prevention and control.Descriptive epidemiology,spatial autocorrelation a-nalysis,and spatiotemporal scanning were used to analyze dengue fever cases in Fujian Province from 2011 to 2023.In this peri-od,a total of 3 586 cases of dengue fever were reported in Fujian Province,including 2 360 local cases,1 134 imported cases from abroad,and 92 imported cases from China.Cases were reported in ten prefectures and cities of the province,and 81 out of 88 counties reported cases.Imported cases were reported throughout the year in Fujian Province,but the occurrence of local ca-ses showed clear seasonality.Local cases and domestic imports were concentrated in August to October,whereas overseas im-ports occurred primarily from June to October.The imported cases were mainly from Southeast Asian countries,but a trend of spreading from Southeast Asian countries to South Asia,Africa,the Americas,and other regions,was observed.Spatio-tem-poral clustering of dengue fever was found in Fujian Province(Moran's I value 0.14-0.66,P＜0.05),and the high-high ag-gregation areas were distributed primarily in Fuzhou,Quanzhou,and Putian.Spatio-temporal scanning detected three aggrega-tion areas:one main and two secondary.The aggregation time was from the end of July to October,and the distribution was primarily in Fuzhou,Quanzhou,Putian,Zhangzhou,and Xiamen.The distribution of dengue fever in Fujian Province showed clear spatial and temporal clustering from the end of July to October,and the distribution was primarily in Fuzhou,Quanzhou,Putian,Zhangzhou,and Xiamen.For high concentration areas,national health campaigns,mosquito prevention and control,epidemic surveillance,medical personnel training,and other relevant measures could be carried out in advance before local cases appear every year.Reduce local transmission of dengue fever due to importation.

Objective To establish a high-performance liquid chromatography method to detect the purity of human epidermal growth factor(hEGF),to compare the stability of the products of different enterprises by purity results,and to provide technical support for improving quality control and unified monitoring of hEGF based on national drug sampling and testing.Methods Agilent 300SB C8 column(250 mm×4.6 mm,5 μm)was used.Mobile phase A was 7.5 mmol·L-1 sodium phosphate buffer(pH 6.8),and mobile phase B was acetonitrile,the column temperature was 30℃,the flow rate was 0.6 mL·min-1 with gradient elution,and the detector wavelength was set at 280 nm.Results The resolution between the main peak of hEGF and the adjacent impurity peak was more than 1.5,with a detection limit of 6 ng.This method has been successfully applied to determine the purity of the bulk and final products.The results showed that the purity of the final products decreased compared with the bulk.The maximum impurity that increased significantly was the deamidation impurity identified by the mass spectrometry.Conclusion Based on the typical sample of the full chain and multi-dosage form,the established method had good specificity and resolution for the preliminary identification and purity determination of hEGF bulk and final products.

Objective To explore the change of nucleoplasm distribution of glucocorticoid receptor alpha(GRα)in peripheral blood of children with primary nephrotic syndrome(PNS)during the course of the disease,aiming at evaluating the correlation between nuclear transport abnormality and different GC responses.Methods A total of 45 children with PNS were enrolled as subjects in this prospective study,and divided into steroid-sensitive nephrotic syndrome(SSNS,n=36)and steroid-resistant nephrotic syndrome(SRNS,n=9)groups,according to their response to GC.The SSNS group was further subclassified into non-frequently relapsing nephrotic syndrome(NFRNS,n=21)and frequently relapsing nephrotic syndrome(FRNS,n=15)based on relapse frequency during 12-month follow-up.Peripheral blood samples were collected before GC treatment,6-week and 6-month after GC treatment.GRα nuclear localization was detected by immunofluorescence assay,and their correlations with clinical-laboratory indicators were analyzed.Results Before the GC treatment,the average fluorescence intensity showed no significantly difference among different groups(P＞0.05),the GRαin the three groups were localized mainly in cytoplasm,and the nucleocytoplasmic ratio showed no significantly difference among the three groups(P＞0.05).6-week after the GC treatment,the average fluorescence intensity showed no significantly difference among the three groups(P＞0.05),the GRα in SSNS group were localized mainly in nucleus,while those in SRNS group were localized mainly in cytoplasm.Furthermore,nucleocytoplasmic ratio in NFRNS group and SRNS group demonstrated significant differences,while those in NFRNS group and FRNS group showed no significant difference(P＞0.05).6-month after the GC treatment,the average fluorescence intensity in NFRNS group and FRNS group showed no significant difference(P＞0.05),GRα in the two groups were localized mainly in nucleus,and their nucleocytoplasmic ratio had significantly differences(P＜0.05).The GRα nucleocytoplasmic ratio in children with PNS was negatively correlated with 24-hour urine protein(24 h-UTP),TNF-α,while positively correlated with serum albumin(Alb).Conclusion There are differences in nuclear transport ability among PNS children of SRNS,NFRNS and FRNS groups,and these differences are correlated with the differency of GC responses.

Objective To explore the change of nucleoplasm distribution of glucocorticoid receptor alpha(GRα)in peripheral blood of children with primary nephrotic syndrome(PNS)during the course of the disease,aiming at evaluating the correlation between nuclear transport abnormality and different GC responses.Methods A total of 45 children with PNS were enrolled as subjects in this prospective study,and divided into steroid-sensitive nephrotic syndrome(SSNS,n=36)and steroid-resistant nephrotic syndrome(SRNS,n=9)groups,according to their response to GC.The SSNS group was further subclassified into non-frequently relapsing nephrotic syndrome(NFRNS,n=21)and frequently relapsing nephrotic syndrome(FRNS,n=15)based on relapse frequency during 12-month follow-up.Peripheral blood samples were collected before GC treatment,6-week and 6-month after GC treatment.GRα nuclear localization was detected by immunofluorescence assay,and their correlations with clinical-laboratory indicators were analyzed.Results Before the GC treatment,the average fluorescence intensity showed no significantly difference among different groups(P＞0.05),the GRαin the three groups were localized mainly in cytoplasm,and the nucleocytoplasmic ratio showed no significantly difference among the three groups(P＞0.05).6-week after the GC treatment,the average fluorescence intensity showed no significantly difference among the three groups(P＞0.05),the GRα in SSNS group were localized mainly in nucleus,while those in SRNS group were localized mainly in cytoplasm.Furthermore,nucleocytoplasmic ratio in NFRNS group and SRNS group demonstrated significant differences,while those in NFRNS group and FRNS group showed no significant difference(P＞0.05).6-month after the GC treatment,the average fluorescence intensity in NFRNS group and FRNS group showed no significant difference(P＞0.05),GRα in the two groups were localized mainly in nucleus,and their nucleocytoplasmic ratio had significantly differences(P＜0.05).The GRα nucleocytoplasmic ratio in children with PNS was negatively correlated with 24-hour urine protein(24 h-UTP),TNF-α,while positively correlated with serum albumin(Alb).Conclusion There are differences in nuclear transport ability among PNS children of SRNS,NFRNS and FRNS groups,and these differences are correlated with the differency of GC responses.

Objective To establish a high-performance liquid chromatography method to detect the purity of human epidermal growth factor(hEGF),to compare the stability of the products of different enterprises by purity results,and to provide technical support for improving quality control and unified monitoring of hEGF based on national drug sampling and testing.Methods Agilent 300SB C8 column(250 mm×4.6 mm,5 μm)was used.Mobile phase A was 7.5 mmol·L-1 sodium phosphate buffer(pH 6.8),and mobile phase B was acetonitrile,the column temperature was 30℃,the flow rate was 0.6 mL·min-1 with gradient elution,and the detector wavelength was set at 280 nm.Results The resolution between the main peak of hEGF and the adjacent impurity peak was more than 1.5,with a detection limit of 6 ng.This method has been successfully applied to determine the purity of the bulk and final products.The results showed that the purity of the final products decreased compared with the bulk.The maximum impurity that increased significantly was the deamidation impurity identified by the mass spectrometry.Conclusion Based on the typical sample of the full chain and multi-dosage form,the established method had good specificity and resolution for the preliminary identification and purity determination of hEGF bulk and final products.

To develop a method for determining the antibody-dependent cell-mediated phagocytosis (ADCP) activity of human epidermal growth factor receptor 2 (HER2)-targeted antibody drug conjugate (ADC) based on the reporter gene assay, we established an ADCP activity assay with Jurkat/NFAT/FcγRIIa cells as the effector cells and BT474 as the target cells. Then, the target cell density, the ratio of effector to target cells, the target cell adhesion time, the incubation time for drug administration, and the induction time after adding effector cells were optimized by the method of design of experiment (DOE). The method showed a significant dose-response relationship, which was complied with the four-parameter equation: y=(A-D)/[1+(x/C)^B]+D. The durability ranges of the target cell density, the ratio of effector to target cells, the target cell adhesion time, the incubation time for drug administration, and the induction time after adding effector cells were (2.5-4.0)×10⁵ cells/mL, 3-5, 1.0-2.0 h, 0 h, and 5.0-6.0 h, respectively. The results of the methodological validation showed that the linear equation was y=1.106 8x-0.011 6, r=0.969 2. The established method showed the relative accuracy ranging from -6.59% to 2.98% and the geometric coefficient of variation less than 11% in the intermediate precision test. Furthermore, the method was target-specific. The method was then applied to the determination of ADCP activity of HER2-targeted ADC, demonstrating the result of (103.5±5.7)%. We developed a reporter gene assay for determining the ADCP activity of HER2-targeted ADC and the assay demonstrated high accuracy and good reproducibility, which proposes a highly efficient and approache for evaluating ADCP effect of this HER2-targeted ADC, and also provides a referable technique for characterizing the Fc effector functions of ADCs with diverse targets.
Humans ; Receptor, ErbB-2/immunology* ; Phagocytosis/drug effects* ; Immunoconjugates/immunology* ; Genes, Reporter ; Antibody-Dependent Cell Cytotoxicity ; Jurkat Cells

The epidemiological and spatiotemporal clustering characteristics of dengue fever in Fujian Province were ana-lyzed,to provide a scientific basis for dengue fever prevention and control.Descriptive epidemiology,spatial autocorrelation a-nalysis,and spatiotemporal scanning were used to analyze dengue fever cases in Fujian Province from 2011 to 2023.In this peri-od,a total of 3 586 cases of dengue fever were reported in Fujian Province,including 2 360 local cases,1 134 imported cases from abroad,and 92 imported cases from China.Cases were reported in ten prefectures and cities of the province,and 81 out of 88 counties reported cases.Imported cases were reported throughout the year in Fujian Province,but the occurrence of local ca-ses showed clear seasonality.Local cases and domestic imports were concentrated in August to October,whereas overseas im-ports occurred primarily from June to October.The imported cases were mainly from Southeast Asian countries,but a trend of spreading from Southeast Asian countries to South Asia,Africa,the Americas,and other regions,was observed.Spatio-tem-poral clustering of dengue fever was found in Fujian Province(Moran's I value 0.14-0.66,P＜0.05),and the high-high ag-gregation areas were distributed primarily in Fuzhou,Quanzhou,and Putian.Spatio-temporal scanning detected three aggrega-tion areas:one main and two secondary.The aggregation time was from the end of July to October,and the distribution was primarily in Fuzhou,Quanzhou,Putian,Zhangzhou,and Xiamen.The distribution of dengue fever in Fujian Province showed clear spatial and temporal clustering from the end of July to October,and the distribution was primarily in Fuzhou,Quanzhou,Putian,Zhangzhou,and Xiamen.For high concentration areas,national health campaigns,mosquito prevention and control,epidemic surveillance,medical personnel training,and other relevant measures could be carried out in advance before local cases appear every year.Reduce local transmission of dengue fever due to importation.