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 explore the relationship between atherosclerotic index of plasma(AIP)and cognitive function in older adults.Methods A cross-sectional study method was used to include the National Health and Nutrition Examination Survey(NHANES)2011 to 2014 population aged>60 years as study subjects,and the population was divided into>-2.158 to≤-0.624 AIP group,>-0.624 to≤-0.123 AIP group,>-0.123 to≤0.309 AIP group,>0.309 AIP group 4 groups.Demographic data(including gender,age,race,education,marriage,height,and body mass),chronic disease-related data(including angina pectoris,emphysema,depression score,chronic bronchitis,coronary heart disease,history of stroke,hypertension,and diabetes mellitus),lifestyle-related data(including smoking and sleep duration),and cognitive function assessment[including the United Registry for consortium to establish a registry for Alzheimer's disease word list(CERAD W-L)score,animal fluency test(AFT)score and digit symbol substitution test(DSST)score],and to compare the differences in the above information between groups with different levels of AIP;and to analyze the factors affecting the cognitive function of the population by using multifactorial Logistic regression.Results A total of 1 335 participants were included in the analysis,and the results of the multivariate linear regression suggested that in model 3 after adjusting for all covariates,no linear relationship existed between AIP and CERAD W-L score for the>-0.624-≤-0.123 AIP group,the>-0.123-≤-0.309 AIP group,and the>-0.309 AIP group,compared with the>-2.158-≤-0.624 AIP group have a linear relationship(P=0.500 for the>-0.624-≤-0.123 AIP group,P=0.110 for the>-0.123-≤0.309 AIP group,and P=0.200 for the>0.309 AIP group).Weighted multifactor Logistic regression analyses after adjusting for covariates showed that AIP was a risk correlate for decline in representing immediate and delayed recall CERAD W-L score[odds ratio(OR)=0.970,95％confidence interval(95％CI)of 0.950-1.000,P=0.050].Restricted Cubic Splines of AIP versus CERAD W-L score restricted cubic spline(RCS)curves suggested a significant overall effect of CERAD W-L score on AIP(overall P=0.005),but not a significant nonlinear relationship(nonlinear P=0.278);and subgroup analyses showed that among 65-70 years old who were college-educated or better,married,and free of hypertension,AIP was the most prevalent among CERAD W-L scores.AIP is an associated risk factor for the development of CERAD W-L decline in people(OR<1,P<0.05).Conclusion AIP is a risk factor for cognitive decline associated with delayed and immediate memory,suggesting that AIP can be used as a predictor or assessment of cognitive function.

Objective To explore the relationship between atherosclerotic index of plasma(AIP)and cognitive function in older adults.Methods A cross-sectional study method was used to include the National Health and Nutrition Examination Survey(NHANES)2011 to 2014 population aged>60 years as study subjects,and the population was divided into>-2.158 to≤-0.624 AIP group,>-0.624 to≤-0.123 AIP group,>-0.123 to≤0.309 AIP group,>0.309 AIP group 4 groups.Demographic data(including gender,age,race,education,marriage,height,and body mass),chronic disease-related data(including angina pectoris,emphysema,depression score,chronic bronchitis,coronary heart disease,history of stroke,hypertension,and diabetes mellitus),lifestyle-related data(including smoking and sleep duration),and cognitive function assessment[including the United Registry for consortium to establish a registry for Alzheimer's disease word list(CERAD W-L)score,animal fluency test(AFT)score and digit symbol substitution test(DSST)score],and to compare the differences in the above information between groups with different levels of AIP;and to analyze the factors affecting the cognitive function of the population by using multifactorial Logistic regression.Results A total of 1 335 participants were included in the analysis,and the results of the multivariate linear regression suggested that in model 3 after adjusting for all covariates,no linear relationship existed between AIP and CERAD W-L score for the>-0.624-≤-0.123 AIP group,the>-0.123-≤-0.309 AIP group,and the>-0.309 AIP group,compared with the>-2.158-≤-0.624 AIP group have a linear relationship(P=0.500 for the>-0.624-≤-0.123 AIP group,P=0.110 for the>-0.123-≤0.309 AIP group,and P=0.200 for the>0.309 AIP group).Weighted multifactor Logistic regression analyses after adjusting for covariates showed that AIP was a risk correlate for decline in representing immediate and delayed recall CERAD W-L score[odds ratio(OR)=0.970,95％confidence interval(95％CI)of 0.950-1.000,P=0.050].Restricted Cubic Splines of AIP versus CERAD W-L score restricted cubic spline(RCS)curves suggested a significant overall effect of CERAD W-L score on AIP(overall P=0.005),but not a significant nonlinear relationship(nonlinear P=0.278);and subgroup analyses showed that among 65-70 years old who were college-educated or better,married,and free of hypertension,AIP was the most prevalent among CERAD W-L scores.AIP is an associated risk factor for the development of CERAD W-L decline in people(OR<1,P<0.05).Conclusion AIP is a risk factor for cognitive decline associated with delayed and immediate memory,suggesting that AIP can be used as a predictor or assessment of cognitive function.

Humans ; Encephalitis

Objective To study the reliability and validity of the Chinese version of the Lymphedema Quality of Life Questionnaire (LYMQOL) in lymphedema patients. Methods LYMQOL was translated into Chinese. The Chinese version of the LYMQOL was distributed with the official Wechat account "Lymphedema Channel" to lymphedema patients who were recruited from October 28
China ; Humans ; Lymphedema ; Quality of Life ; Reproducibility of Results ; Surveys and Questionnaires

The safety of traditional Chinese medicine is affected by many factors, and the influence of exogenous harmful substances has been concerned and become a hot spot in recent years, especially heavy metals, pesticide residues and some other harmful substances. In order to explore the effects of non-soil and non-pesticide treatment on residues of these two harmful substances, the heavy metals and agricultural residues of Lilii Bulbus were detected, and the correlation of the data was analyzed. In this experiment, heavy metals and pesticide residues of Scrophulariae Radix were detected, and correlation analysis was conducted for their data. The mechanism of transport phase was interpreted with statistical moment similarity tool of total fingerprint by supramolecular chemistry theory. A large number of experimental data in this paper showed that heavy metals and pesticide contents in Lilii Bulbus basaltifolia had a positive correlation, which was closely related to supramolecular phenomena. Moreover, the similarity of fingerprints between Lilii Bulbus and Scrophulariae Radix suggested that Lilii Bulbus and Scrophulariae Radixa had a high selectivity in absorption of agricultural residues, which proved that the absorption of pesticides in Lilii Bulbus and Scrophulariae Radix from different habitats had the function of supramolecular imprinting template. It was considered that medicinal plant was a giant complex supramolecule with various levels of " imprinted template" . Heavy metals and agricultural residues were also involved in plant growth, forming an " imprinted template" for the formation of supramolecules between agricultural residues and heavy metals. After heavy metals and agricultural residues formed supramolecules, their liposolubility and permeability changed in varying degrees, and their transport in medicinal plants was promoted. Finally, the heavy metal supramolecules of pesticides were absorbed, distributed, aggregated and accumulated in plants. The purpose of the study was to reveal the mechanism of heavy metal and pesticide supramolecule transport, provide a new direction for the treatment of heavy metals and pesticide residues, and ensure the safety of traditional Chinese medicine.

Objective s To investigate the effects of preoperative smoking and smoking cessation time on preoperative peripheral blood inflammatory indexes and postoperative hospitalization outcomes in male patients with lung cancer and surgery therapy.Methods We retrospectively enrolled 637 male patients who underwent curative-intent lung cancer resection between January 2014 and December 2016. Patients were classified as the current smokers, the never smokers, and the ex-smokers based on their smoking history, and the ex-smokers were allocated into five subgroups according to their smoking cessation times (CeT): CeT≤6 weeks, 6weeks10years. The preoperative peripheral blood white blood cells (WBCs), albumin, neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), intraoperative blood loss, 30-day mortality, in-hospital days, hospitalization costs, intensive care unit (ICU), admission days and placement time of closed thoracic drainage tube were compared among different groups.Results There were significant differences in WBC (=5.275, <0.001) and albumin (=2.470, <0.05) among patients of current smokers, ex-smokers with different smoking cessation time, and never-smokers. The blood WBC count in current smokers (7.7×10 /L) was significantly higher than that in ex-smokers (7.0×10 /L)and never-smokers (5.9×10 /L) (=-2.145, <0.05; =-6.073, <0.01, respectively). The level of peripheral blood albumin in current smokers (41.1 g/L) was lower than that in ex-smokers (42.1 g/L) and never-smokers (43.2 g/L) (=2.323, <0.05; =3.995, <0.01, respectively). The level of peripheral blood NLR in current smokers (3.7) was higher than that in ex-smokers (3.1) and never smokers (2.8) (=-1.836, <0.05; =-2.889, <0.01, respectively). There was no significant difference in WBC, albumin and NLR among five subgroups of different smoking cessation time. No significant difference was observed in intraoperative blood loss, 30-day mortality, hospitalization costs, hospital stay, ICU stay and placement time of closed thoracic drainage tube among groups either. Conclusion Smoking increases the preoperative inflammatory indexes in peripheral blood of lung cancer patients. Smoking cessation has beneficial effect on reducing levels of these inflammatory indexes, which may be not impacted by the time length of smoking cessation. Therefore, lung cancer patients should be encouraged to quit smoking at any time.

Objective:To explore the effects and mechanism of electroacupuncture (EA) on expression of myostatin (MSTN), muscle-specific ring finger protein 1 (MuRF1/Trim63), F-box only protein 32 (Atrogin-1/ Fbxo32), myogenic differentiation antigen (Myod) and myogenin (Myog) in traumatic spinal cord injury (TSCI) rats. Methods:A total of 45 adult female Sprague-Dawley rats were randomly divided into sham operation group (n = 12) and operation group (n = 33). The TSCI model was established with the modified Allen's method. After modeling, there were 24 survival rats and they were randomly divided into model group (n = 12) and EA group (n = 12). EA group was electroacupunctured at Dazhui (DU 14), Mingmen (DU 4) and bilateral Zusanli (ST 36) for 10 minutes, once a day, six times a week for 28 days. Basso-Beattie-Bresnahan (BBB) score was tested before modeling, and three days, seven days, 14 days, 21 days and 28 days after modeling. The rats were measured their body mass before and 28 days after modeling. The ratio of gastrocnemius wet mass was calculated; the cross-sectional area (CSA) and fiber diameter were measured by HE staining; the expression of MSTN, Trim63, Fbxo32, Myod and Myog mRNA were tested with real-time quantitative polymerase chain reaction (qPCR). Results:Three days, seven days, 14 days, 21 days, and 28 days after modeling, the score of BBB was lower in the model group than in the sham operation group (P < 0.01); seven days, 14 days, 21 days, and 28 days after modeling, the score of BBB was higher in EA group than in the model group (P < 0.01). Compared with the sham operation group, the mass of rats, the gastrocnemius wet mass, the CSA and the diameter of the muscle fiber were smaller in the model group (P < 0.05), while the expression of MSTN, Trim63, Fbxo32, Myod and Myog mRNA were higher (P < 0.05). Compared with the model group, the mass of rats, the gastrocnemius wet mass, the CSA, the expression of Myod and Myog mRNA were higher (P < 0.05) in EA group, while the expression of MSTN, Trim63 and Fbxo32 mRNA were lower (P < 0.05). Conclusion:EA might delay the gastrocnemius atrophy in TSCI rats by down-regulating the expression of MSTN, Trim63, Fbxo32 mRNA and up-regulating the expression of Myod and Myog mRNA via controlling the differentiation of the muscle satellite cells and the degradation of protein in skeletal muscle cells.

Objective To investigate the clinical value and the experience of retroperitoneal laparoscopic nephrectomy in primary hospitals. Methods A retrospective analysis of 20 cases of retroperitoneal nephrectomy performed in the people's hospital of Jianshui from July 2014 to December 2017 and 23 cases of open nephrectomy in the same period as the control group, the two groups of surgery and postoperative recovery were analyzed and compared. Results The two groups of patients were operated successfully. The surgery time of the laparoscopic group was (110.14 ±15.63) min and the control group was (100.33 ±10.58) min. There was no statistical difference between the two groups (P＞0.05). No complications occurred during the follow-up period between the two groups, and the difference was not statistically significant. The intraoperative blood loss in the two groups was (40.63 ±22.21) ml and (80.45 ±38.31) m L respectively, and the difference was statistically significant (P＜ 0.05).The indwelling time of drainage tube in the two groups was (2-3) days and (6-7) days respectively. The difference was statistically significant (P＜ 0.05), and the hospitalization time was (3.2 ±2.2) days and (6.4 ± 3.3) days respectively, the difference was statistically significant (P＜0.05). Conclusions Laparoscopic nephrectomy has the advantages of less trauma, faster recovery and shorter hospital stay. With the improvement of operation technique, it will bring more advantages and be worth popularizing.