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.

Objective:To evaluate the sample preparation proficiency and storage proficiency of 11 clinical biobanks in Beijing through simulated experiments, and to establish an assessment method for the quality comparability of biological samples.Methods:An exploratory research design was adopted. In November 2023, artificial composite serum quality control materials containing six recombinant human protein markers—recombinant human alanine aminotransferase (rhALT), recombinant human aspartate aminotransferase (rhAST), recombinant human creatine kinase (rhCK), recombinant human creatine kinase-MB (rhCK-MB), recombinant human B-type natriuretic peptide (rhBNP), and recombinant human troponin I (rhTNI)—were distributed to 11 clinical biobanks in Beijing City. Sample preparation and storage followed the standardized operating procedures. Proficiency differences were assessed through statistical analysis.Results:Three-way repeated measures ANOVA revealed all six protein markers showed a declining trend over storage time in ultra-low-temperature environments ( F values 11.68-4 179.66, all P<0.01). However, neither long-term/temporary refrigerator types ( F values 0.01-1.23, all P>0.05)nor placement locations within refrigerators significantly affected the stability of these six proteins ( F valus 0.03-1.47, all P>0.05). The biases in detection results for rhALT, rhAST, rhTNI, and rhBNP at different storage time points were within the allowable bias limits for each item, supporting their use as markers for protein stability in biobank samples. All 11 institutions passed the storage proficiency assessment. In the preparation proficiency assessment, deviations were observed in post-preparation sample results, with a notably high out-of-control rate for rhCK (36.36%). Conclusion:Sample preparation proficiency can serve as a quality control metric for clinical biobanks. Future external quality assessment systems for biobanks should focus on sample preparation rather than storage processes.

Travelling wave structures for lossless ion manipulations(TW-SLIM)employ travelling wave electric fields to propel ions forward,enabling exceptionally long transmission paths and holding great potential for applications in material transportation and separation.In this study,different from previous studies focusing on the transport performance of macromolecules such as proteins in TW-SLIM,the transmission performance of small molecules(<200 amu)was investigated and analyzed in the turning TW-SLIM through the COMSOL simulation platform,to explore the influence of electrostatic field of protective electrode and radio frequency(RF)electric field on ion transport efficiency,and obtain the optimal value.Compared to macromolecules,small molecules required lower voltage amplitudes from guard electrodes but stricter requirements in terms of the peak-to-peak amplitude and frequency of RF voltage for lossless transmission.Using dimethyl methylphosphonate(DMMP)as a sample and testing it on the TW-SLIM experimental platform,when the protective voltage amplitude was 5 V and the peak-to-peak voltage of the radio-frequency electrode was 440 V at 1.5 MHz,the ion transmission efficiency reached 100%,achieving lossless transmission.The experimental results provided valuable references for application of TW-SLIM in separation and detection of small molecular substances,such as explosives and drugs.

Objective:To explore applications of adjusting timing of nebulization and analgesic usage in patients after lung cancer surgery, to provide reference for postoperative rehabilitation of lung cancer.Methods:Adopting a prospective randomized controlled study design, a total of 84 patients with lung cancer who underwent surgery in affiliated hospital of Jining Medical University from September 2020 to June 2023 were enrolled by a convenience sampling method, they were randomly divided into experimental group and control group according to random number table method. Two groups was given routine perioperative care, on this basis, the control group received lip and abdomen contraction breathing training according to the conventional process, and the experimental group adjusted timing of nebulization and analgesic usage and received respiratory function training when nebulization and analgesics were at the peak of blood drug concentration. Pain level and exercise self-efficacy of two groups were compared.Results:There were 27 males and 15 females in the control group, aged (54.52 ± 14.06) years; and 24 males and 18 females in the experimental group, aged (53.33 ± 12.02) years. At one day, two days and three days after operation, the scores of Numerical Rating Scale (NRS) were (5.07 ± 0.84), (3.40 ± 0.49), (2.93 ± 0.87) in the experimental group, lower than (5.86 ± 1.05), (4.09 ± 0.88), (3.33 ± 0.65) in the control group, the differences were statistically significant ( t=3.79, 4.44.2.42, all P<0.05), and for both groups, the differences in the time effect, between-group effect, and the interaction effect were all statistically significant ( F=582.92, 44.65, 3.82, all P<0.05). Three days after operation, the dimensions of efficacy expectation, outcome expectation and total self-efficacy scores were (28.62 ± 6.75), (33.71 ± 7.04) and (62.33 ± 9.07) in the experimental group, and (25.52 ± 6.66), (30.43 ± 6.80) and (55.95 ± 9.34) in the control group, the differences were statically significant ( t=2.12, 2.18, 3.18, all P<0.05). Conclusions:Adjusting timing of nebulization and analgesic usage and giving respiratory function training for lung cancer surgery when nebulization and analgesics at the peak of blood drug concentration can effectively alleviate the pain caused by respiratory exercise and improve training self-efficacy of patients after lung cancer surgery.

Objective:To evaluate the sample preparation proficiency and storage proficiency of 11 clinical biobanks in Beijing through simulated experiments, and to establish an assessment method for the quality comparability of biological samples.Methods:An exploratory research design was adopted. In November 2023, artificial composite serum quality control materials containing six recombinant human protein markers—recombinant human alanine aminotransferase (rhALT), recombinant human aspartate aminotransferase (rhAST), recombinant human creatine kinase (rhCK), recombinant human creatine kinase-MB (rhCK-MB), recombinant human B-type natriuretic peptide (rhBNP), and recombinant human troponin I (rhTNI)—were distributed to 11 clinical biobanks in Beijing City. Sample preparation and storage followed the standardized operating procedures. Proficiency differences were assessed through statistical analysis.Results:Three-way repeated measures ANOVA revealed all six protein markers showed a declining trend over storage time in ultra-low-temperature environments ( F values 11.68-4 179.66, all P<0.01). However, neither long-term/temporary refrigerator types ( F values 0.01-1.23, all P>0.05)nor placement locations within refrigerators significantly affected the stability of these six proteins ( F valus 0.03-1.47, all P>0.05). The biases in detection results for rhALT, rhAST, rhTNI, and rhBNP at different storage time points were within the allowable bias limits for each item, supporting their use as markers for protein stability in biobank samples. All 11 institutions passed the storage proficiency assessment. In the preparation proficiency assessment, deviations were observed in post-preparation sample results, with a notably high out-of-control rate for rhCK (36.36%). Conclusion:Sample preparation proficiency can serve as a quality control metric for clinical biobanks. Future external quality assessment systems for biobanks should focus on sample preparation rather than storage processes.

Objective:To preliminarily evaluate the efficacy and safety of a domestically developed bilateral interventional ultrasound renal denervation (RDN) system in patients with uncontrolled hypertension despite antihypertensive medication.Methods:A multicenter, single-arm trial was conducted. Patients with uncontrolled hypertension (≥2 antihypertensive drugs) were enrolled from April 2023 to April 2024 at the Second Affiliated Hospital of Chongqing Medical University, West China Hospital of Sichuan University, and the Second Affiliated Hospital of Harbin Medical University. RDN was performed using the UltraCure? bilateral interventional ultrasound system via femoral or brachial artery access. Multi-segmental "quadrant-based" ablation was performed in bilateral main renal arteries and branches/accessory arteries (diameter≥4 mm). Primary endpoints were changes in office systolic blood pressure (SBP) and 24-hour daytime SBP at 2-and 6-months post-procedure. The primary safety endpoints included the incidence of major adverse events, device-related adverse events, and puncture site complications.Results:Ten patients, mean aged 47.1 years, including 9 male, successfully completed RDN. At 2 and 6 months post-procedure, office SBP decreased by (19.7±15.2) mmHg ( P=0.002, 1 mmHg=0.133 kPa) and (13.8±13.9) mmHg ( P=0.013) from baseline, while the 24-hour daytime SBP decreased by (13.4±10.6) mmHg ( P=0.004) and (11.2±9.2) mmHg ( P=0.004). Apart from one case of a limited distal renal artery dissection, no other serious device/procedure-related adverse events were observed. At 6-month follow-up, the estimated glomerular filtration rate remained stable ((85.3±18.3) ml·min -1·1.73 m -2 vs. (82.3±19.2) ml·min -1·1.73 m -2, P=0.41). No renal artery stenosis was detected. Conclusions:The domestic interventional ultrasound RDN system could effectively reduce office and ambulatory blood pressure in patients with uncontrolled hypertension, demonstrating a favorable safety profile. Long-term efficacy requires confirmation through large-scale randomized controlled trials.

[Purpose]To analyze the trends of mortality and disease burden of gastric cancer among residents aged 30 and above from 2009 to 2023 in Wuxi City of Jiangsu Province and to estimate the age-period-cohort effect.[Methods]The gastric cancer mortality data from 2009 to 2023 were collected from Wuxi Death Registration System,and the crude mortality rate,age-standardized mortality rate,years of life lost(YLL)and YLL rate were calculated.The average annual percen-tage change(AAPC)was calculated with Joinpoint regression to analyze the trends of mortality and YLL rate of gastric cancer.The age-period-cohort model was used to analyze the effect of age,pe-riod and birth cohort on gastric cancer mortality.[Results]From 2009 to 2023,there were 32 348 gastric cancer deaths in Wuxi,the crude mortality rate was 44.24/105,and the age-standard mor-tality rate was 25.10/105,with a total YLL of 681 618.33 person-years.The crude mortality rate,age-standardized mortality rate and YLL rate showed decreasing trends,with AAPC of-1.77％(95％CI:-2.10％～-1.43％),-4.59％(95％CI:-4.97％～-4.20％)and-2.14％(95％CI:-2.56％～-1.74％),respectively.From 2009 to 2023,crude mortality rate,age-tandardized mortality rate,YLL in men were higher than those in women,and the decline rates of all indicators in women were faster than those in men.The age effect showed that the overall risk of gastric cancer death increased with age;the period effect showed a gradual decrease in the mortality risk and death burden of gastric cancer over time;the cohort effect showed that the later born cohort had a lower risk of death and death burden.[Conclusion]From 2009 to 2023,the disease burden of gastric cancer mortality in Wuxi showed a decreasing trend,with age and sex being the primary influencing factors.In the future,emphasis should be placed on gastric cancer screening and early intervention in middle-aged and elderly men.

Objective:To establish a stable rat model of sequelae of pelvic inflammatory disease(SPID)with clinical characteristics,and to provide a reliable experimental model for the study of the pharmcological effect and mechanism of SPID.Methods:Twenty-four 7-week-old SD rats were divided into sham operation group,model-A(108 cfu/mL mixed bacterial solution,0.2 mL),model-B(109 cfu/mL mixed bacterial solution 0.2 mL),and model-C(108 cfu/mL E.coli 0.2 mL).The weight of the rat's uterine was weighed and the uterine index was calculated.The automatic hematology analyzer was used to detect the blood routine;hematoxylin-eosin staining(HE)and masson staining were used to detect uterine pathlogical changes in rats.Enzyme-linked immunosorbent assay(ELISA)was used to detect interleukin-1β(IL-1β),interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)in rat uterine tissue homogenates.Western blot was used to detect the expression of proteins related to NF-κB signaling pathway.Results:Compared with the sham operation group,the uterine index of model-A,model-B,and model-C were significantly increased(P＜0.05,P＜0.01).The levels of WBC and NE in the model-A increased significantly(P＜0.01).The level of LY in model-B decreased significantly(P＜0.01).The levels of IL-1β,TNF-α in model-A,model-B,and model-C were significantly increased(P＜0.01).The levels of IL-6 in model-A and model-B were significantly increased(P＜0.05,P＜0.01).The collagen volume fraction of model-A and model-B were significantly increased(P＜0.01).Mechanism study indicates that the expression levels of p-IKKβ/IKKβ,p-IκBα/IκBα and p-p65/p65 in model-A were significantly increased(P＜0.01),and the expression levels of IκBα/β-actin were significantly decreased(P＜0.01).The expression level of p-IKKβ/IKKβ in model-B was significantly increased(P＜0.01).Conclusions:A stable rat model of SPID that conforms to clinical characteristics can be successfully constructed by combining 0.2 mL of mixed bacterial solution with a concentration of 108 cfu/mL and mechanical injury.This modeling method intervened in the expression of the NF-κB inflammatory signaling pathway.

Objective:Based on the perspective of group analysis,it explores the influencing factors of provincial governments'response to the of dynamic adjustment policy of medical service prices.Subsequently,it dissects the differential driving mechanism of policy response,which in turn provides theoretical support for optimizing policy implementation.Methods:The length of policy response time in each province was set as the outcome variable.Five conditional variables were selected based on the triple roles of"state agent","economic agent"and"social agent"of local governments.Then,fuzzy set Qualitative Comparative Analysis(fsQCA)was applied to conduct the group analysis.Results:The speed of local government policy response is the result of the joint action of multiple roles and influencing factors.The response paths were categorised as economist-led,social agent-led,and economic-social binary-led models.Conclusion:It is suggested that local governments should promote synergistic co-operation among local healthcare organizations while balancing economic benefits and social needs.The government should integrate multiple considerations for efficient policy implementation,while carrying out evaluation and measurement work.