This study evaluated the healing-promoting effect and applicability of seven new dressings in chronic wounds. A chronic wound model was established using 48 db/db diabetic mice, which were randomly divided into 8 groups (control, polymer film, alginate, foam, hydrocolloid, hydrogel, carbon fiber, and silver dressing groups). Regular monitoring was conducted on the 5, 10, 15, and 20 days after surgery, and a comprehensive evaluation was performed based on healing rate, characteristic of histopathology, and semi-quantitative scoring. The results showed that, except for the polymer film dressing group, all other dressing groups had significantly better healing-promoting effect than the control group ( P＜0.05), with the hydrocolloid, carbon fiber, and silver dressing groups demonstrated particularly outstanding efficacy. This study systematically compared the efficacy differences of seven dressings, and combined them with the adhesion, exudate volume and infection risks to provide a scientific basis for clinical dressing selection.
Animals ; Mice ; Wound Healing ; Bandages ; Male ; Diabetes Mellitus, Experimental ; Disease Models, Animal

Parkinson's disease (PD) is a kind of prevalent neurodegenerative disorders characterized by motor symptoms such as bradykinesia, tremor and muscle rigidity, as well as non-motor symptoms such as neuropsychiatric symptoms, autonomic dysfunction and sleep-wake disorders; these symptoms seriously affect the quality of life of patients. The current diagnosis and treatment as well as long-term management still face some deficiencies, such as lack of highly sensitive biomarkers for early diagnosis, relatively subjective clinical comprehensive assessment, individualized treatment strategies mainly formulated based on subjective cognition and clinical experience of physicians, and absence of long-term management data. In recent years, with the rapid development of artificial intelligence (AI), it has demonstrated significant application potential and value in diagnosis, treatment, and long-term management of PD. This article reviews the recent advances of AI in the above-mentioned fields of PD, with the aim of providing references for improving clinical diagnosis, treatment, and long-term management of PD.

Objective To explore the relationship between miR-409-3p and miR-325-3p with the efficacy of inter-ventional therapy in patients with primary liver cancer.Methods Ninety-six patients with primary liver cancer who visited Nanyang Central Hospital from October 2021 to January 2024 were regarded as the liver cancer group.All patients underwent transcatheter arterial chemoembolization(TACE)treatment and were separated into an effective group(complete remission,partial remission)and an ineffective group(disease stability,disease progression)based on the treatment effect.Totally 91 patients with liver cirrhosis who underwent treatment in our hospital during the same period were selected as liver cancer group and 98 healthy individuals who received physical examinations during the same period were selected as the healthy group.Serum miR-409-3p,miR-325-3p levels were detected and analyzed for their correlation.Logistic regression was applied to analyze the relevant factors affecting the effi-cacy of TACE treatment.Receiver operating characteristic(ROC)curve was applied to evaluate their predictive value for TACE treatment efficacy of serum miR-409-3p,miR-325-3p levels.Results Compared with the healthy group,the serum level of miR-409-3p and miR-325-3p in the liver cirrhosis group and liver cancer group were re-duced(P＜0.05).Compared with the liver cirrhosis group,the serum level of miR-409-3p and miR-325-3p in the liver cancer group were also reduced(P＜0.05).Compared with the effective group,the serum level of miR-409-3p and miR-325-3p in the ineffective group significantly decreased(P＜0.05).There was a positive correlation between serum level of miR-409-3p and of miR-325-3p in patients with primary liver cancer(r=0.472,P＜0.001).The elevated level of miR-409-3p and miR-325-3p were protective factors for ineffective TACE treat-ment in primary liver cancer patients(P＜0.05).The combination of serum miR-409-3p and miR-325-3p was su-perior to single prediction in predicting efficacy after TACE treatment in primary liver cancer patients(Zcombination-miR-409-3p=4.556,P＜0.001,Zcombination-miR-325-3p=2.613,P＜0.01).Conclusions The serum level of miR-409-3p as well as miR-325-3p is both reduced in patients with primary liver cancer,and is related to the effi-cacy of interventional therapy.

Cold has been a long-term survival challenge in the evolutionary process of mammals. In response to cold stress, in addition to brown adipose tissue (BAT) dissipating energy as heat through glucose and lipid oxidation to maintain body temperature, cold stimulation can strongly activate thermogenesis and energy expenditure in beige fat cells, which are widely distributed in the subcutaneous layer. However, the effects of cold stimulation on other tissues and systemic lipid metabolism remain unclear. Our previous research indicated that, under cold stress, BAT not only produces heat but also secretes numerous exosomes to mediate BAT-liver crosstalk. Whether subcutaneous fat has a similar mechanism is still unknown. Therefore, this study aimed to investigate the alterations in lipid metabolism across various tissues under cold exposure and to explore whether subcutaneous fat regulates systemic glucose and lipid metabolism via exosomes, thereby elucidating the regulatory mechanisms of lipid metabolism homeostasis under physiological stress. RT-qPCR, Western blot, and H&E staining methods were used to investigate the physiological changes in lipid metabolism in the serum, liver, epididymal white adipose tissue, and subcutaneous fat of mice under cold stimulation. The results revealed that cold exposure significantly enhanced the thermogenic activity of subcutaneous adipose tissue and markedly increased exosome secretion. These exosomes were efficiently taken up by hepatocytes, where they profoundly influenced hepatic lipid metabolism, as evidenced by alterations in the expression levels of key genes involved in lipid synthesis and catabolism pathways. This study has unveiled a novel mechanism by which subcutaneous fat regulates lipid metabolism through exosome secretion under cold stimulation, providing new insights into the systemic regulatory role of beige adipocytes under cold stress and offering a theoretical basis for the development of new therapeutic strategies for obesity and metabolic diseases.
Animals ; Lipid Metabolism/physiology* ; Mice ; Exosomes/metabolism* ; Cold Temperature ; Subcutaneous Fat/physiology* ; Thermogenesis/physiology* ; Adipose Tissue, Brown/metabolism* ; Male

Objective To develop an objective and precise prognostic model for assessing severity and prognosis in elderly patients with community-acquired pneumonia(CAP)admitted to the emergency department.Methods A retrospective analysis was conducted on elderly patients with CAP admitted to Department of Emergency,Minhang Hospital,Fudan University between Jun 2018 and Dec 2020.With the primary outcome being the 30-day in-hospital mortality rate of elderly CAP patients,four systemic inflammatory response markers,including the neutrophil-to-lymphocyte ratio(NLR),monocyte-to-lymphocyte ratio(MLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammation index(SII)were evaluated using univariate and multivariate Logistic regression analyses.The predictive performance of different scoring systems was compared.Results A total of 421 elderly CAP cases were enrolled.The results of the multivariate Logistic regression analysis demonstrated that NLR was an independent risk factor for elderly inpatients with CAP.We combined NLR with the existing CURB-65 score for joint optimization to construct a scoring system or a clinical prognosis model,by quantifying and assigning optimal cut-off value of 11.4 for NLR,and established the NLR+CURB-65 score.The ROC curve was constructed to compare the areas under the curve of the three different scoring systems(NLR,CURB-65,and NLR+CURB-65).The area under the curve of the NLR+CURB-65 score was significantly higher than that of the CURB-65 score.Based on the optimal cut-off value of 3 for NLR+CURB-65 score,the patients were stratified into high-risk group(n=188)and low-risk group(n=233).The K-M survival curve was utilized and indicated that compared with high-risk group,low-risk group had a lower mortality rate and a higher discharge rate.Conclusion For elderly emergency hospitalized patients with CAP,the combination of NLR and CURB-65 score showed high predictive value for assessing disease severity and prognosis.

Objective To evaluate answers to typical clinical questions related to neuro-ophthalmology generated by Artificial Intelligence(AI)Large Language Models(LLM)and to explore the performance of neuro-ophthalmology-related questions on LLM in a multidimensional manner using objective and expert assessment.Methods Multicenter,random-ized,cross-sectional pilot study.Thirty typical questions related to neuro-ophthalmology were selected based on four per-spectives:definition,etiology,clinical manifestations and signs,and treatment and prognosis,and were analyzed quantita-tively using Deepseek,Wenxin Yiyin 4.0,Doubao,and Kimi 1.5,which are four open-source LLMs in China,and quantita-tively analyzed with objective assessment;and quantitatively rated by three ophthalmologists using expert assessment for 120 answer texts.Three ophthalmology experts quantitatively scored the 120 answer texts.Three ophthalmologists quantita-tively scored the 120 answer texts.Level 3,5,and 4 Likert scales were developed according to the completeness,accura-cy,professionalism,relevance,and criticality of the question texts,respectively.The best-performing LLM was selected,and its performance was observed across the four types of questions.Additionally,three other experts assessed whether the best-performing one could be evaluated as a substitute for real-world doctor-patient communication.Results In the objective Chinese text reading difficulty analysis,the differences in total word count among the four LLMs were statistically significant(all P＜0.001).Of the four LLMs,Kimi 1.5 performed the best,with frequencies of 61％,29％,and 41％for the highest scores in completeness(3),accuracy and professionalism(5),and relevance and usefulness(4),respective-ly.Kimi 1.5 performed more consistently on the questions on the four areas of neuro-ophthalmologic disorders:definition,etiology,clinical manifestations and signs,treatment,and prognosis,with no between-group differences(P＞0.05).Con-clusion Chinese language LLMs have great potential in the clinical application of neuro-ophthalmology.Kimi 1.5 outper-forms other LLMs in terms of completeness,accuracy,professionalism,relevance,and usefulness,but it still cannot re-place real-world doctor-patient communication.There is a need to explore new diagnostic and therapeutic model of AI+physician in the future.

Objective To develop an objective and precise prognostic model for assessing severity and prognosis in elderly patients with community-acquired pneumonia(CAP)admitted to the emergency department.Methods A retrospective analysis was conducted on elderly patients with CAP admitted to Department of Emergency,Minhang Hospital,Fudan University between Jun 2018 and Dec 2020.With the primary outcome being the 30-day in-hospital mortality rate of elderly CAP patients,four systemic inflammatory response markers,including the neutrophil-to-lymphocyte ratio(NLR),monocyte-to-lymphocyte ratio(MLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammation index(SII)were evaluated using univariate and multivariate Logistic regression analyses.The predictive performance of different scoring systems was compared.Results A total of 421 elderly CAP cases were enrolled.The results of the multivariate Logistic regression analysis demonstrated that NLR was an independent risk factor for elderly inpatients with CAP.We combined NLR with the existing CURB-65 score for joint optimization to construct a scoring system or a clinical prognosis model,by quantifying and assigning optimal cut-off value of 11.4 for NLR,and established the NLR+CURB-65 score.The ROC curve was constructed to compare the areas under the curve of the three different scoring systems(NLR,CURB-65,and NLR+CURB-65).The area under the curve of the NLR+CURB-65 score was significantly higher than that of the CURB-65 score.Based on the optimal cut-off value of 3 for NLR+CURB-65 score,the patients were stratified into high-risk group(n=188)and low-risk group(n=233).The K-M survival curve was utilized and indicated that compared with high-risk group,low-risk group had a lower mortality rate and a higher discharge rate.Conclusion For elderly emergency hospitalized patients with CAP,the combination of NLR and CURB-65 score showed high predictive value for assessing disease severity and prognosis.

Objective To evaluate answers to typical clinical questions related to neuro-ophthalmology generated by Artificial Intelligence(AI)Large Language Models(LLM)and to explore the performance of neuro-ophthalmology-related questions on LLM in a multidimensional manner using objective and expert assessment.Methods Multicenter,random-ized,cross-sectional pilot study.Thirty typical questions related to neuro-ophthalmology were selected based on four per-spectives:definition,etiology,clinical manifestations and signs,and treatment and prognosis,and were analyzed quantita-tively using Deepseek,Wenxin Yiyin 4.0,Doubao,and Kimi 1.5,which are four open-source LLMs in China,and quantita-tively analyzed with objective assessment;and quantitatively rated by three ophthalmologists using expert assessment for 120 answer texts.Three ophthalmology experts quantitatively scored the 120 answer texts.Three ophthalmologists quantita-tively scored the 120 answer texts.Level 3,5,and 4 Likert scales were developed according to the completeness,accura-cy,professionalism,relevance,and criticality of the question texts,respectively.The best-performing LLM was selected,and its performance was observed across the four types of questions.Additionally,three other experts assessed whether the best-performing one could be evaluated as a substitute for real-world doctor-patient communication.Results In the objective Chinese text reading difficulty analysis,the differences in total word count among the four LLMs were statistically significant(all P＜0.001).Of the four LLMs,Kimi 1.5 performed the best,with frequencies of 61％,29％,and 41％for the highest scores in completeness(3),accuracy and professionalism(5),and relevance and usefulness(4),respective-ly.Kimi 1.5 performed more consistently on the questions on the four areas of neuro-ophthalmologic disorders:definition,etiology,clinical manifestations and signs,treatment,and prognosis,with no between-group differences(P＞0.05).Con-clusion Chinese language LLMs have great potential in the clinical application of neuro-ophthalmology.Kimi 1.5 outper-forms other LLMs in terms of completeness,accuracy,professionalism,relevance,and usefulness,but it still cannot re-place real-world doctor-patient communication.There is a need to explore new diagnostic and therapeutic model of AI+physician in the future.

Parkinson's disease (PD) is a kind of prevalent neurodegenerative disorders characterized by motor symptoms such as bradykinesia, tremor and muscle rigidity, as well as non-motor symptoms such as neuropsychiatric symptoms, autonomic dysfunction and sleep-wake disorders; these symptoms seriously affect the quality of life of patients. The current diagnosis and treatment as well as long-term management still face some deficiencies, such as lack of highly sensitive biomarkers for early diagnosis, relatively subjective clinical comprehensive assessment, individualized treatment strategies mainly formulated based on subjective cognition and clinical experience of physicians, and absence of long-term management data. In recent years, with the rapid development of artificial intelligence (AI), it has demonstrated significant application potential and value in diagnosis, treatment, and long-term management of PD. This article reviews the recent advances of AI in the above-mentioned fields of PD, with the aim of providing references for improving clinical diagnosis, treatment, and long-term management of PD.

Objective To understand the current situation of protective mask wearing behavior of health care workers(HCWs),analyze the influencing factors for the failure to wear medical protective masks in a standard manner,and provide basis for the improvement of mask-wearing related training.Methods From June 2022 to March 2023,staff in a tertiary first-class hospital were selected as the research object.Real-time quantitative fitness testing using aerosol condensation particle counting method was applied to test 5 commonly used medical protective masks available in the market.Fitness factor changes of the testing instrument and assistance from professional per-sonnel were needed to comprehensively estimate the wearing condition of medical protective masks.Participants were surveyed through a self-made general information questionnaire.Heads and faces of participants were scanned by three-dimensional(3D)laser scanning technology,and scanned images were imported into Geomagic Studio 2013 software to measure head and face dimensions.Results A total of 222 HCWs were investigated,991 real-time tests and 208 times of 3D scanning were conducted.221(22.30％)tests showed failure of participants in wearing masks in a standard manner.The non-standard wearing rates of 5 types of medical protective masks were 30.56％,25.62％,25.87％,23.15％,and 7.35％,respectively.The non-standard mask-wearing rates showed statistically significant difference between groups categorized in terms of medical protective masks with different shapes,partici-pants'occupation,time of last training for wearing medical protective masks,and participants'experience in pre-vention and control of respiratory infectious disease(all P＜0.05).There were no statistically significant differences in non-standard mask-wearing rate between groups with different brands and sizes of medical protective masks,as well as gender and department of participants,etc.(all P＞0.05).The body mass index(BMI)was significantly different among participants who wear foldable medical protective masks in the standard and non-standard manner(both P＜0.05).Conclusion Wearing medical protective masks by HCWs in a non-standard manner is influenced by multiple factors.It is recommended to conduct real-time testing before formal quantitative fitness testing,so as to save time and improve testing efficiency.When conducting training on wearing medical protective masks in the fu-ture,targeted training should be provided based on mask shape and focus on logistics personnel,interns,individuals with high BMI,those who have never received training on wearing medical protective masks,and those who have never participated in the prevention and treatment of respiratory infectious diseases.