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: As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS). METHODS: This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA). RESULTS: The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS. CONCLUSION The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans ; Cognitive Dysfunction/diagnosis* ; Aged ; Male ; Female ; Machine Learning ; Spleen ; Aged, 80 and over ; Kidney ; Medicine, Chinese Traditional

OBJECTIVE: This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF. METHODS: Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus. RESULTS: LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response. CONCLUSION The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans ; China/epidemiology* ; Genome, Viral ; Lassa Fever/virology* ; Lassa virus/classification* ; Molecular Epidemiology ; Phylogeny

Objectives: This study evaluates the efficacy of a new temporomandibular joint (TMJ) capsule suspension technique for stabilizing the TMJ after free fibular flap reconstruction of the mandibular condyle. Patients and Methods: Patients undergoing the TMJ capsule suspension technique during free fibular flap reconstruction after mandibulectomy with condylectomy (study group; n=9) were compared with a control group (n=9). Mandibular movement trajectory and surface electromyographic signals of bilateral masseters were recorded. The neocondyle–disc relationship was examined with magnetic resonance imaging (MRI) at 6 months after surgery. Results: Maximal mouth opening and bilateral marginal movement distances were comparable between the two groups (P>0.05). The asymmetry index of the condyle path length was significantly higher in controls (P=0.02). Bilateral mouth opening trajectories were symmetric in 7 patients and deviated to the affected side in 2 patients in the study group; they deviated to the affected side in all controls. The mean electromyographic values of the masseter on the affected side in resting, maximum bite, and chewing states were comparable between the two groups (P=0.13, P=0.65, and P=0.82, respectively). On MRI at 6 months, the thicknesses of the anterior, medial, and posterior bands and TMJ disc length were similar on the affected and normal sides in the study group (P=0.57, P=0.13, P=0.48, and P=0.87, respectively). Conclusion The proposed TMJ capsule suspension technique could improve postoperative TMJ structure and function after fibular free flap reconstruction following mandibulectomy with condylectomy.

Objective:To assess the preliminary efficacy and safety of modified Société Internationale d′Oncologie Pédiatrique Epithelial Liver Tumor Study Group (SIOPEL)-4 protocol for pediatric hepatoblastoma (HB) with lung metastases.Methods:This prospective cohort study enrolled 27 newly diagnosed pediatric HB with lung metastases who received the modified SIOPEL-4 protocol at Shanghai Children′s Medical Center, Shanghai Jiao Tong University School of Medicine, and Shanghai Children′s Hospital between January 2020 to December 2023. Clinical characteristics, lung response rates to induction chemotherapy, treatment outcomes, prognostic factors and sever chemotherapy toxicities at different stages were analyzed. Survival analysis was performed by Kaplan-Meier method. Univariate prognostic analysis was conducted by Log-Rank test.Results:Of the 27 patients, there were 17 males and 10 females, with the age of 21 (15, 33) months. During the follow-up of 31 (12, 45) months for 17 continuous complete remission patients, 4 cases disease progression (2 cases death) and 6 cases relapse were observed. The 2-year event free survival (EFS) and overall survival (OS) rate was (58±11)% and (89±7)%, respectively. All the 27 patients had response to block 1-3 induction chemotherapy (cisplatin+doxorubicin), with 14 cases (52%) achieving complete response and 13 cases (48%) achieving partial response of lung metastatic lesions, the 2-year EFS rate was (81±12)% and (34±14)%, respectively ( χ 2=6.76, P=0.009), the 2-year OS rate was 100% and (79±13)%, respectively ( χ2=2.12, P=0.145). Patients with caudate lobe tumors or ≥10 pulmonary metastatic nodules had significantly lower EFS rates ( χ2=5.36, 7.84, P=0.021, 0.005, respectively). The incidence of grade 3/4 neutropenia after block 1-3 induction chemotherapy, CD (carboplatin+doxorubicin), and VI (vincristine+irinotecan) consolidation chemotherapy was 90% (73/81), 75% (58/77), and 31% (11/35), respectively. The incidence of grade 3/4 thrombocytopenia was 77% (62/81), 69% (53/77), and 14% (5/35), respectively. The incidence of grade 3/4 infections was 64% (52/81), 25% (19/77), and 20% (7/35), respectively. The differences between the groups were statistically significant ( χ2=43.51, 42.69, 33.00, all P<0.001). Two patients (10%) of the 20 evaluable patients for ototoxicity occurred grade 3 and higher hearing impairment, with 1 patient requiring a hearing aid. Conclusions:The modified SIOPEL-4 regimen shows good preliminary efficacy and safety in treating pediatric HB with lung metastases. The prognosis for patients with residual lesions in the lungs after induction chemotherapy needs to be improved. Attention should be given to the ototoxicity induced by high-dose cisplatin chemotherapy.

China's vast territory has experienced significant climate change trends in recent years,characterized by reduced regional temperature differences and prolonged high-temperature durations.In some areas,summer temperatures can exceed 39℃.Consequently,the incidence of heat stroke has risen annually,emerging as a critical and life-threatening emergency threatening public health.Ethnomedicine,developed through long-term practice across diverse ethnic groups,has cultivated regionally tailored therapeutic approaches for heat stroke based on local climatic conditions and population-specific physiological traits,offering varied treatment options for patients in different areas.However,the absence of unified ethnic medical diagnostic and therapeutic guidelines has constrained the broader application and advancement of these practices.To leverage the unique advantages of ethnic medicine in heat stroke management and enhance clinical standardization,led by the China Medical Association of Minorities:collaborated with authoritative institutions and experts in multi-ethnic medicine.Through systematic collation of ethnic medical experiences in heat stroke prevention and treatment,the team formulated the expert consensus on multi-ethnic medical diagnosis and treatment of heat stroke(2024).This consensus synthesizes shared principles across ethnic medical systems while integrating their distinct theoretical frameworks and clinical practices,yielding scientifically rigorous,practical,and widely applicable recommendations to guide clinical interventions in traditional Chinese medicine(TCM)and ethnic medicine.While ethnic medical systems differ in their etiological and pathophysiological interpretations of heat stroke,they collectively emphasize holistic regulation and adaptive treatment strategies aligned with seasonal and geographical contexts.For instance,TCM,Zhuang medicine,Miao medicine,Mongolian medicine,and Tibetan medicine employ unique methodologies:such as harmonizing qi and blood,balancing body fluids,and dispelling dampness:to address heat stroke through comprehensive interventions.These approaches include oral formulations,external therapies,specialized acupuncture-moxibustion techniques,and herbal baths,demonstrating rich clinical value.The establishment of this consensus lays a foundational framework for the standardized application of ethnic medicine in heat stroke prevention and treatment.It provides innovative insights and practical evidence for optimizing integrated rescue protocols and advancing the evidence-based integration of traditional and modern medical practices.

AIM To investigate the variations in mercury dissolution from HgS-containing traditional medicines in three kinds of simulated gastrointestinal dissolution media.METHODS 39 batches of 15 types of HgS-containing traditional medicines were collected,total mercury content and dissolved mercury concentrations in simulated gastric fluid,simulated intestinal fluid,and L-cysteine-containing simulated intestinal fluid were measured.The maximum daily intake of total mercury and soluble mercury was calculated based on the maximum daily clinical dosage.RESULTS Among the 15 types of medicines,the maximum daily intake of total mercury varied by 156 times,the daily intake of soluble mercury varied by 3 502 times in simulated gastric fluid,313 times in simulated intestinal fluid,and 10 663 times in L-cysteine-containing simulated intestinal fluid,approximately.CONCLUSION For the 15 types of HgS-containing traditional medicines,the daily maximum intake of soluble mercury showed greater variations than that of total mercury.Soluble mercury concentration is more closely correlated with intestinal absorption of mercury and thus represents a more rational quality control indicator for HgS-containing traditional medicines.

Objectives: This study evaluates the efficacy of a new temporomandibular joint (TMJ) capsule suspension technique for stabilizing the TMJ after free fibular flap reconstruction of the mandibular condyle. Patients and Methods: Patients undergoing the TMJ capsule suspension technique during free fibular flap reconstruction after mandibulectomy with condylectomy (study group; n=9) were compared with a control group (n=9). Mandibular movement trajectory and surface electromyographic signals of bilateral masseters were recorded. The neocondyle–disc relationship was examined with magnetic resonance imaging (MRI) at 6 months after surgery. Results: Maximal mouth opening and bilateral marginal movement distances were comparable between the two groups (P>0.05). The asymmetry index of the condyle path length was significantly higher in controls (P=0.02). Bilateral mouth opening trajectories were symmetric in 7 patients and deviated to the affected side in 2 patients in the study group; they deviated to the affected side in all controls. The mean electromyographic values of the masseter on the affected side in resting, maximum bite, and chewing states were comparable between the two groups (P=0.13, P=0.65, and P=0.82, respectively). On MRI at 6 months, the thicknesses of the anterior, medial, and posterior bands and TMJ disc length were similar on the affected and normal sides in the study group (P=0.57, P=0.13, P=0.48, and P=0.87, respectively). Conclusion The proposed TMJ capsule suspension technique could improve postoperative TMJ structure and function after fibular free flap reconstruction following mandibulectomy with condylectomy.

Objective To investigate the refractive development parameters of primary school students aged 7 to 12 years in Chuxiong City,Yunnan Province,analyze their relationship with equivalent spherical power(SE),and evaluate the monitoring role of refractive parameters in myopia.Methods A total of 1463 primary school students aged 7-12 from Beipu Primary School in Chuxiong City,Yunnan Province were selected.Spherical degree(DS),cylindrical degree(DC),and equivalent spherical degree(SE)were obtained using a computer autorefractor.Axial length(AL),corneal curvature(K1,K2),anterior chamber depth(ACD),central corneal thickness(CCT),lens thickness(LT),and vitreous depth(VD)were measured using a biometer.The corneal curvature radius(CR),the ratio of axial length to corneal curvature radius(AL/CR),and lens power(LP)were calculated.Participants were divided into 7～8 years old group(n=518),9～10 years old group(n=547),and 11～12 years old group(n=398)according to age;and categorized into myopic group(n=647),emmetropic group(n=532),and hyperopic group(n=284)based on refractive status to analyze the characteristics of refractive parameters and their impact across different age groups and refractive categories.Results(1)SE,DS,LT,and LP decreased with age(P<0.05);(2)AL,AL/CR,ACD,and VD increased with age(P<0.05);(3)K,CR and CCT showed no significant change with age(P>0.05);(4)In both myopic and hyperopic groups,AL was negatively correlated with SE(rs=-0.617,rs=-0.318,both P<0.05),AL/CR was negatively correlated with SE(rs=-0.737,rs=-0.406,both P<0.05),LP was positively correlated with SE(rs=0.412,rs=0.182,both P<0.05),while CR showed no correlation with SE(P>0.05).Conclusion The refractive development parameters AL,AL/CR,ACD,and VD increased with age in primary school students aged 7 to 12,while SE,DS,LT,and LP decreased with age,and K,CR,and CCT showed no significant changes.AL/CR and AL can serve as monitoring indicators for myopia,with AL/CR demonstrating a higher correlation with SE than AL.