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.

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.

ObjectiveTo analyze the epidemiological characteristics of 8 major respiratory pathogens in influenza-like illness (ILI) cases with acute respiratory infections at fever clinics in Huangpu District, Shanghai from 2015 to 2024, and to provide a scientific basis for the prevention and treatment of respiratory diseases. MethodsA retrospective study was conducted in Huangpu District. Individuals meeting the case definition of ILI from 2015 to 2024 was registered. Their nasopharyngeal swabs were collected for pathogen detection. A total of 8 respiratory viruses were tested, including Influenza A virus (Flu A), Influenza B virus (Flu B), adenovirus (ADV), enterovirus/human rhinovirus (EV/HRV), human parainfluenza virus (HPIV), human coronavirus (HCoV), respiratory syncytial virus (RSV), and human metapneumovirus (HMPV). ResultsFrom 2015 to 2019, a total of 344 ILI cases were tested, of which 192 out of 344 cases (55.81%) were tested positive for single respiratory pathogen. From 2023 to 2024, 1 557 ILI cases were tested, with 572 out of 1 557 cases (36.74%) being positive for single pathogen. From 2023 to 2024, the positive rate of single pathogen in ILI cases was significantly lower than that in 2015‒2019 (χ²=42.66, P<0.001). Specifically, the positive rate of Flu A (χ²=74.43, P<0.001) decreased, while that of HPIV (χ²=8.66, P=0.003) increased, both with statistically significant differences. According to the seasonal pattern, the epidemic intensity of Flu A decreased in summer, while that of HPIV increased in summer and autumn. Demographic results showed statistically significant differences in the positive rates of EV/HRV between genders (χ²=22.38, P<0.001), with males exhibiting a higher positive rate than females. No statistically significant differences were identified in the positive rates of single pathogen among different age groups (χ²=4.42, P=0.110). Nevertheless, statistically significant differences were noted when comparing the positive rates of EV/HRV, Flu A, Flu B and HPIV across different age groups (P<0.05). EV/HRV was more commonly detected in the 15‒<25 age group (10.93%), while Flu A and HPIV had the highest positive rates in the ≥60 age group (21.24% and 4.77%). Flu B had the highest positive rate in the 25‒<60 age group (11.26%). 52.63% of cases with co-infections occurred during winter, with the primary pathogens involved being EV/HRV (9 cases) and HCoV (6 cases). The most prevalent combination of co-infection was Flu A with EV/HRV. ConclusionThe prevalence of respiratory pathogens among ILI cases from 2023 to 2024 exhibited notable fluctuations compared to that from 2015 to 2019. Therefore, influenza surveillance should be strengthened, and attention should also be paid to the prevalence of respiratory pathogens such as HPIV. These findings have profound implications for future research, surveillance, vaccine planning, and public health policy making.

ObjectiveTo explore the mechanism by which Qijia Rougan decoction ameliorates liver fibrosis through amino acid/fatty acid metabolic reprogramming and phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） pathway， based on the miRNA-mRNA regulatory network and the interaction between metabolism and signaling pathways. MethodsSprague-Dawley （SD） rats were randomized into four groups （n=8）： control， model， and low-dose and high-dose （7.0， 28.0 g·kg^-1·d^-1， respectively） Qijia Rougan decoction. Liver fibrosis was induced by subcutaneous injection of carbon tetrachloride （CCl₄）. From week 9， drug intervention was implemented for 7 weeks. After the final administration， the pathological changes in the liver were evaluated through hematoxylin-eosin （HE） and picrosirius red （PSR） staining. An automated biochemical analyzer was used to measure the serum levels of biochemical indicators， including alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， alkaline phosphatase （ALP）， total bile acid （TBA）， albumin （ALB）， and cholesterol （TC）. High-throughput miRNA sequencing was performed to identify differentially expressed miRNAs （DemiRs） during liver fibrosis. A miRNA-mRNA interaction network was constructed to identify key targets， which were then subjected to GO and KEGG enrichment analyses. The expression levels of selected DemiRs were validated by Real-time PCR. ResultsCompared with the control group， the model group showed marked hepatic lobular necrosis， increased collagen deposition， significant fibrosis， elevated serum levels of ALT， AST， ALP， and TBA （P<0.01）， and declined levels of ALB and TC （P<0.01）. Compared with the model group， Qijia Rougan decoction treatment reduced hepatic necrosis， collagen accumulation， and fibrosis， lowered the serum levels of ALT， AST， ALP， and TBA （P<0.01）， and raised the levels of ALB and TC （P<0.01）. Integrated miRNA-seq and RNA-seq analysis identified 31 DemiRs （6 upregulated and 25 downregulated） and 498 targets. The expression trends of four selected DemiRs， including rno-miRNA-376b-3p， were consistent with sequencing results （R²=0.93）. Functional annotation revealed that top 20 upregulated targets were enriched in amino acid and fatty acid metabolism， while top 20 downregulated targets were significantly associated with the PI3K/Akt signaling pathway and cancer progression. ConclusionQijia Rougan decoction alleviates liver fibrosis by reconstructing the miRNA-mRNA regulatory network， promoting metabolic reprogramming， and inhibiting the PI3K/Akt signaling pathway. These findings provide mechanism evidence supporting the multi-targeted antifibrotic effects of traditional Chinese medicine compound formulas.

Background/Aims: Lenvatinib resistance remains a critical barrier in advanced hepatocellular carcinoma (HCC) therapy. However, the underlying mechanisms and strategies for reversing resistance remain incompletely understood. Methods: Integrated transcriptomics of lenvatinib-resistant patient tumors and an acquired-resistance murine model identified a novel macrophage subpopulation. Functional validation employed CRISPR-SAM screening, conditioned medium (CM) assays, subcutaneous/orthotopic xenografts, patient-derived organoids (PDOs), and patient-derived xenografts (PDXs). Mechanistic studies included ChIP-qPCR, co-immunoprecipitation, and pharmacologic targeting. Clinical relevance was assessed in a retrospective cohort. Results: Resistant HCC exhibited significant enrichment of a COLEC12high TAM subset , which correlated with poor survival and treatment response. These TAMs secreted neuregulin-1 (NRG1) , activating HER2/HER3-AKT signaling in tumor cells to drive cancer stemness and lenvatinib resistance. Mechanistically, in TAMs COLEC12 sequestered STAT1 in the cytoplasm, preventing its phosphorylation, and thereby derepressing STAT3-mediated NRG1 transcription. Depletion of NRG1 reversed the stemness phenotypes and resensitized tumors to lenvatinib both in vitro and in vivo. Clinically, high NRG1 expression predicted an inferior lenvatinib response and shorter survival. Crucially, the bispecific anti-HER2/HER3 antibody zenocutuzumab restored lenvatinib efficacy in PDOs, PDXs, and murine models. Conclusions Our work establishes the COLEC12high TAM/NRG1 axis as a master regulator of therapeutic resistance and identifies NRG1 as a predictive biomarker, providing a clinically actionable strategy to overcome lenvatinib resistance in HCC.

Objective To analyze the clinical efficacy of intelligent wireless endoscopy in transurethral resection of the prostate, so as to provide evidence for clinical application. Methods A retrospective analysis was conducted on the clinical data of 70 patients with benign prostatic hyperplasia (BPH) who underwent transurethral resection of the prostate at Tongling People's Hospital during Jan. 2023 and Dec. 2024. Based on the type of endoscopes used, patients were divided into a wireless endoscopy group and a traditional endoscopy group, with 35 patients in either group. Differences between the two groups were compared in terms of surgical preparation time, operation time, postoperative hospital stay, catheter indwelling time, intraoperative blood loss, surgical complications, and operating comfort during the procedure. Results All 70 operations were successfully completed without severe urinary incontinence. The wireless laparoscopy group demonstrated significantly shorter surgical preparation time compared to the traditional laparoscopy group [(12.14±2.39)min vs. (14.89±0.80)min, P＜0.001].There was no statistically significant difference in the operation time between the two groups [(93.51±34.49)min vs. (101.71±34.87)min, P=0.326]. There were no statistically significant differences between the two groups in postoperative hospital stay, catheter indwelling time, intraoperative blood loss, and surgical complications (P＞0.05). The wireless endoscopy group demonstrated significantly higher operating comfort compared to the traditional endoscopy group [(3.94±0.77) vs. (2.57±0.61), P＜0.001]. Conclusion The use of intelligent wireless endoscopy for transurethral resection of the prostate is comparable to traditional endoscopy in surgical efficacy and patient safety, but it can shorten preoperative preparation time and improve operator comfort.

Objective To investigate the relationship between polymorphisms at the rs3093030 and rs5498 loci of the intercellular adhesion molecule-1(ICAM-1)gene in combination with high sensitive C-reactive protein(hs-CRP)and susceptibility to type 2 diabetes mellitus complicated with HTN(T2MH)susceptibility.Methods 200 newly diagnosed T2DM patients,175 T2MH patients and 200 healthy controls from Affiliated Hospital of Guilin Medical University between September 2021 and January 2022.Single nucleotide polymorphisms(SNP)-scan high-throughput technology was used to detect the genotyping of serum rs3093030 and rs5498 polymorphisms in the study subjects and to detect hs-CRP levels in peripheral plasma to analysed and explore the correlation between them and the development of T2MH.Results The peripheral blood hs-CRP expression level of patients in the T2MH group[2.65(1.18,6.50)mg/L]was significantly higher than that in the T2DM group[1.82(0.80,4.48)mg/L]and healthy controls[1.02(0.54,2.29)mg/L],and the differences were statistically significant(Z=-2.729,-7.132,all P<0.001).After population classification by genotype,it was found that compared with healthy controls,rs3093030 CC(Z=-3.912,-5.800),rs5498 AA(Z=-3.293,-4.944)and AG(Z=-3.275,-4.872)genotypes had significantly higher hs-CRP levels.The peripheral blood hs-CRP levels of patients with rs3093030 CT genotype in the T2MH group were significantly higher than that of healthy controls(Z=-3.987),and the differences was statistically significant(all P<0.001),respectively.Meanwhile,regression analysis showed that HS-CRP was a risk factor for both T2MH group and healthy control group(OR=1.181,95%CI=1.095～1.274,P<0.001).Conclusion There is a correlation between ICAM-1 gene rs3093030 and rs5498 polymorphisms combined with hs-CRP levels in peripheral blood and the pathogenesis of T2MH patients.

ObjectiveTo characterize the changes in the overall chemical profile and key index components during nine-time repeating steaming and sun-drying processing of Rhei Radix et Rhizoma， and to reveal the change law of its material basis. MethodsHigh performance liquid chromatography（HPLC） was used to analyze the changes in the overall chemical profile of Rhei Radix et Rhizoma decoction pieces， and the contents of 15 main active components such as chrysophanol-8-O-β-D-glucoside， chrysophanol and gallic acid in the process of nine-time repeating steaming and sun-drying were determined. Combined with chemometrics， the contents and quantity ratio relationships of the glycosides， aglycones and tannins during the processing of Rhei Radix et Rhizoma were analyzed， and the partial least squares-discriminant analysis（PLS-DA） and cluster analysis of the main components in different steaming times were conducted， the statistically significant differential markers were selected with the variable importance in the projection（VIP） value>1. ResultsIn the nine-time repeating steaming and sun-drying process of Rhei Radix et Rhizoma， there were certain regularity in the number and peak area of characteristic peaks and the steaming and sun-drying times， the anthraquinone glycosides and aglycones could be roughly divided into three stages， including rapid change stage， fluctuation change stage and stable stage， and the total amount of tannins showed a decreasing trend. However， the ratios between the three components mentioned above tended to stabilize after five rounds of steaming and sun-drying. The results of PLS-DA and cluster heatmap showed that the content of each component in Rhei Radix et Rhizoma fluctuated greatly during the 1-4 steaming and sun-drying processes， while the content of each component was relatively close during the 5-9 steaming and sun-drying processes. After screening， it was found that chrysophanol， emodin， chrysophanol-8-O-β-D-glucoside， rhein， physcion and emodin-8-O-β-D-glucoside could be used as the index components for distinguishing the processed products of Rhei Radix et Rhizoma with different steaming and sun-drying times. ConclusionThe changes in the properties and efficacy of Rhei Radix et Rhizoma caused by the processing of nine-time repeating steaming and sun-drying are due to the changes in the composition and ratio of various glycosides and complex tannins in this herb， which is also the key to the formation of its characteristic of "purgation with supplement". This study can provide a basis for the research on the processing mechanism of Rhei Radix et Rhizoma and the establishment of processing specifications.

ObjectiveTo systematically review the modeling methods and analyzes the model alignment with clinical features of primary dysmenorrhea （PD） in both traditional Chinese medicine （TCM） and western medicine， providing theoretical and practical guidance for establishing the animal models of PD that better reflect the diagnostic and therapeutic characteristics of both TCM and western medicine. MethodsThe literature on PD animal models was searched against domestic and international databases such as PubMed， CNKI， and Wanfang Data. According to the diagnostic criteria of TCM and western medicine， the modeling methods in the literature were summarized， evaluated for strengths and weaknesses， and systematically assessed for clinical concordance rates to identify suitable reference models. ResultsThe available animal models of PD showed the average clinical concordance rates of 43.64% and 61.27% with the clinical features in TCM and western medicine， respectively. Commonly used modeling methods included estrogen administration， physical stimulation， and surgical intervention， with the estrogen combined with oxytocin model and the ice-water bath model being the most studied. The model of Qi stagnation and blood stasis syndrome that was established with the comprehensive stimulation method demonstrated the highest clinical concordance rate. ConclusionCurrent PD animal models primarily replicate dysmenorrhea and simulate menstruation， but they differ from human menstruation to some extent and cannot fully reflect the pathogenesis and physiological characteristics of PD. Moreover， except the cold coagulation and dampness stagnation syndrome and Qi stagnation and blood stasis syndrome， no animal models for other TCM syndromes have been reported， which limits comprehensive TCM research on this disease to a certain extent.

ObjectiveTo systematically review the modeling methods and analyzes the model alignment with clinical features of primary dysmenorrhea （PD） in both traditional Chinese medicine （TCM） and western medicine， providing theoretical and practical guidance for establishing the animal models of PD that better reflect the diagnostic and therapeutic characteristics of both TCM and western medicine. MethodsThe literature on PD animal models was searched against domestic and international databases such as PubMed， CNKI， and Wanfang Data. According to the diagnostic criteria of TCM and western medicine， the modeling methods in the literature were summarized， evaluated for strengths and weaknesses， and systematically assessed for clinical concordance rates to identify suitable reference models. ResultsThe available animal models of PD showed the average clinical concordance rates of 43.64% and 61.27% with the clinical features in TCM and western medicine， respectively. Commonly used modeling methods included estrogen administration， physical stimulation， and surgical intervention， with the estrogen combined with oxytocin model and the ice-water bath model being the most studied. The model of Qi stagnation and blood stasis syndrome that was established with the comprehensive stimulation method demonstrated the highest clinical concordance rate. ConclusionCurrent PD animal models primarily replicate dysmenorrhea and simulate menstruation， but they differ from human menstruation to some extent and cannot fully reflect the pathogenesis and physiological characteristics of PD. Moreover， except the cold coagulation and dampness stagnation syndrome and Qi stagnation and blood stasis syndrome， no animal models for other TCM syndromes have been reported， which limits comprehensive TCM research on this disease to a certain extent.