Chronic obstructive pulmonary disease（COPD） is a common chronic respiratory disorder frequently accompanied by diaphragmatic dysfunction during its course， which significantly increases respiratory burden and impairs quality of life. As the primary inspiratory muscle， the diaphragm is prone to fatigue， atrophy， inflammation， and fibrosis during the long-term progression of COPD. Its pathological mechanisms involve multiple pathways such as inflammatory responses， oxidative stress， mitochondrial dysfunction， apoptosis， ion channel abnormalities， epigenetic regulation， autophagy disorder， and protein metabolism imbalance. In recent years， traditional Chinese medicine（TCM） has demonstrated multi-targeted and systemic regulatory advantages in improving diaphragmatic function in COPD. However， related studies remain fragmented， and integrated mechanistic understanding is lacking. This paper focuses on the mechanism-target-TCM intervention framework， systematically summarizing the molecular mechanisms of diaphragmatic dysfunction， while incorporating the TCM theory of Zongqi（ancestral Qi）. It highlights the therapeutic effects of Chinese herbal formulas， single herbs， and active components in modulating inflammation， oxidative stress， mitochondrial function， ion channels， epigenetic processes， autophagy， and protein homeostasis. Additionally， the review outlines existing challenges， including insufficient study volume， unbalanced selection of herbal prescriptions， limited mechanistic depth， inconsistent disease models and experimental designs， lack of standardized diaphragmatic function assessment， and weak clinical validation. Future research should strengthen the integration of TCM and modern medicine， identify additional therapeutic targets， deepen mechanistic research， and establish unified and standardized experimental systems to advance the theoretical foundation and clinical application of TCM in the prevention and treatment of COPD-related diaphragmatic dysfunction.

Chronic obstructive pulmonary disease（COPD） is a common chronic respiratory disorder frequently accompanied by diaphragmatic dysfunction during its course， which significantly increases respiratory burden and impairs quality of life. As the primary inspiratory muscle， the diaphragm is prone to fatigue， atrophy， inflammation， and fibrosis during the long-term progression of COPD. Its pathological mechanisms involve multiple pathways such as inflammatory responses， oxidative stress， mitochondrial dysfunction， apoptosis， ion channel abnormalities， epigenetic regulation， autophagy disorder， and protein metabolism imbalance. In recent years， traditional Chinese medicine（TCM） has demonstrated multi-targeted and systemic regulatory advantages in improving diaphragmatic function in COPD. However， related studies remain fragmented， and integrated mechanistic understanding is lacking. This paper focuses on the mechanism-target-TCM intervention framework， systematically summarizing the molecular mechanisms of diaphragmatic dysfunction， while incorporating the TCM theory of Zongqi（ancestral Qi）. It highlights the therapeutic effects of Chinese herbal formulas， single herbs， and active components in modulating inflammation， oxidative stress， mitochondrial function， ion channels， epigenetic processes， autophagy， and protein homeostasis. Additionally， the review outlines existing challenges， including insufficient study volume， unbalanced selection of herbal prescriptions， limited mechanistic depth， inconsistent disease models and experimental designs， lack of standardized diaphragmatic function assessment， and weak clinical validation. Future research should strengthen the integration of TCM and modern medicine， identify additional therapeutic targets， deepen mechanistic research， and establish unified and standardized experimental systems to advance the theoretical foundation and clinical application of TCM in the prevention and treatment of COPD-related diaphragmatic dysfunction.

In the multi-campus development and construction of public hospitals,hospital-associated infection man-agement has consistently faced escalating difficulties and challenges.Throughout the long-term exploration and practice,the Second Affiliated Hospital Zhejiang University School of Medicine has adhered to the principles of"integrated planning and deployment,homogeneous and homologous training,information and data sharing,and a focus on professional features".By continuously addressing emerging infection control risk points and weak points,overcoming barriers posed by dispersed human resources,and balancing homogeneity with individualization,the hospital has actively promoted integration and collaborative development across its campuses.This approach has significantly contributed to the sustained improvement of healthcare service capacity and quality across multiple campuses.From the novel perspective of symbiosis theory,this paper analyzes the symbiotic dilemmas in multi-campus hospital-associated infection management,summarizes practical experiences,and explores future direc-tions,aiming to provide references for other public hospitals in multi-campus hospital-associated infection manage-ment.

Purpose This study aimed to explore the mucinous phenotype characteristics,key points of differenti-al diagnosis and prognosis of invasive non-mucinous adenocarcinoma(INMA)and invasive mucinous adenocarcinoma(IMA)under the WHO(2021)lung adenocarcinoma classification.Methods We retrospectively collected clinico-pathological data from 522 cases of lung adenocarcinoma,including 425 INMA(66 with mucin secretion,259 without mucin secretion)and 97 IMA.Immunohistochemical(IHC)staining using the EnVision method was performed on the mucin-secreting adenocarcinoma to assess expression of TTF-1,HNF4α,MUC1,MUC4,MUC5AC,MUC5B,and MUC6.Unsupervised clustering analysis was conducted to explore phenotypic subgroups.Results 522 patients with lung adenocarcinoma ranged from 32 to 83 years old(median:61).251 cases(48.1％)were male and 271 cases(51.9％)were female.Clustering analysis divided lung adenocarcinomas into two major groups:one characterized by TTF-1-/HNF4α+and gastric-type mucins MUC5AC+/MUC6+,predominantly IMA;the other,TTF-1+/HNF4α-/MUC4+,largely INMA.A three-marker IHC panel(TTF-1,HNF4α,MUC6)distinguished IMA from mucinous IN-MA with an area under the ROC curve(AUC)of 0.957(95％CI:0.928-0.986)and a Youden's index of 0.860.Further cluster analysis of INMA cases identified four phenotypic subgroups.Prognostic analysis demonstrated that pa-tients with advanced-stage mucin-secreting INMA had significantly shorter overall survival(OS)and progression-free survival(PFS)than those without mucin secretion(5-year OS:57.1％ vs 81.8％,P=0.004;3-year PFS:40.9％ vs 62.4％,P=0.004).No significant survival differences were noted among INMA subgroups stratified by varying mucin proportions.Multivariate analysis identified pathological stage,tumor necrosis,KRAS mutation,and TTF-1 negativity as independent adverse prognostic factors for both OS and PFS in mucinous INMA.Conclusion A three-marker im-munohistochemical panel of TTF-1,HNF4α,and MUC6 is recommended to distinguish IMA from mucinous INMA.Mucus component portends a worse prognosis in advanced INMA,with necrosis,KRAS mutations,and TTF-1 negativi-ty serving as independent adverse prognostic factors in mucinous INMA.

Objective:To study the relationship between the levels of multiple elements in urine and the risk of arsenic poisoning in populations exposed to drinking water arsenic in Inner Mongolia Autonomous Region (Inner Mongolia).Methods:From April 2023 to January 2024, a case-control study method was used to select 128 individuals with a residence time of ≥10 years in drinking water arsenic exposed areas in Inner Mongolia as study subjects. Eighty-one individuals diagnosed with arsenic poisoning were selected as the case group, and 47 healthy individuals were selected as the control group for urine sample collection and questionnaire survey. Inductively coupled plasma mass spectrometry was employed to determine the levels of 10 elements (chromium, manganese, cobalt, nickel, copper, zinc, arsenic, molybdenum, cadmium and lead) in urine. The levels of each element in urine were divided into four groups ( Q1, Q2, Q3, and Q4 groups) based on quartiles. The associations between the levels of various elements in urine and the risk of arsenic poisoning were studied using binary logistic regression model and restricted cubic spline (RCS). Results:The age of the control group and the case group [ M ( Q1, Q3)] were 61 (53, 69) and 61 (56, 67) years old, respectively. There were 19 and 43 males, and 28 and 38 females, respectively. There was no statistically significant differences in age and and gender composition between the two groups ( Z = - 0.39, P = 0.700; χ 2 = 1.91, P = 0.167). The levels of urinary copper and cadmium of the case group were higher than those of the control group, and the differences were statistically significant ( Z = - 2.66, - 2.16, P < 0.05). The results of univariate logistic regression analysis showed that urinary copper was an influencing factor for arsenic poisoning ( P = 0.017). The results of multivariate logistic regression analysis revealed that after adjusting for covariates, urinary copper and arsenic were independent influencing factors of arsenic poisoning ( P < 0.05). Taking Q1 group as a reference, urinary copper in Q3 group [ OR (95% CI) = 8.23 (1.81, 37.39), P = 0.006] increased the risk of arsenic poisoning, while urinary arsenic in Q2, Q3, and Q4 groups [ OR (95% CI) = 0.24 (0.06, 0.92), 0.12 (0.03, 0.53), 0.15 (0.04, 0.63), P < 0.05] decreased the risk of arsenic poisoning. After adjusting for covariates, RCS did not show a dose-response relationship between urinary copper, urinary arsenic, and arsenic poisoning ( P > 0.05). Conclusion:Urinary arsenic and copper are associated with the risk of arsenic poisoning in the drinking water arsenic exposed areas of Inner Mongolia, copper exposure may contribute significantly to arsenic poisoning.

Objective To explore the correlation between serum angiotensin-converting enzyme(SACE),matrix metalloproteinase-9(MMP-9)and haptoglobin(HPT)with pulmonary infection in patients with schizophrenia.Methods A total of 83 patients with schizophrenia were selected and divided into the infected group(40 cases)and the non-infected group(43 cases)according to whether they had pulmonary infection.Data of antipsychotic drugs,length of hospital stay,course of disease and electroconvulsive therapy were collected.Serum SACE,MMP-9 and HPT levels were detected by enzyme-linked immunosorbent assay.Spearman correlation analysis was used to determine serum SACE,MMP-9 and HPT and pulmonary infection in patients with schizophrenia.Logistic regression was used to analyze risk factors for pulmonary infection in patients with schizophrenia,and receiver operating characteristic(ROC)curves were used to evaluate the predictive value of serum SACE,MMP-9 and HPT in patients with pulmonary infection.Results Before treatment,the types of antipsychotic drugs≥2,the proportion of electroconvulsive therapy,serum SACE,MMP-9 and HPT levels were higher in the infected group than those in the non-infected group(P＜0.05).After treatment,there were no significant differences in serum SACE,MMP-9 and HPT levels between the infected group and the non-infected group(P＞0.05).Serum SACE,MMP-9 and HPT were positively correlated with pulmonary infection in patients with schizophrenia(P＜0.05).More than 2 types of antipsychotic drugs,electroconvulsive therapy and elevated SACE,MMP-9 and HPT were risk factors for pulmonary infection in schizophrenia patients(P＜0.05).The ROC curve analysis showed that the combined serum SACE,MMP-9 and HPT for pneumonia in schizophrenic patients were better than each of these indicators alone in predicting pulmonary infection in patients with schizophrenia.Conclusion Serum SACE,MMP-9 and HPT are related with pulmonary infection in patients with schizophrenia,and which can be used as potential indicators for predicting pulmonary infection in patients with schizophrenia.

Objective:To study the relationship between the levels of multiple elements in urine and the risk of arsenic poisoning in populations exposed to drinking water arsenic in Inner Mongolia Autonomous Region (Inner Mongolia).Methods:From April 2023 to January 2024, a case-control study method was used to select 128 individuals with a residence time of ≥10 years in drinking water arsenic exposed areas in Inner Mongolia as study subjects. Eighty-one individuals diagnosed with arsenic poisoning were selected as the case group, and 47 healthy individuals were selected as the control group for urine sample collection and questionnaire survey. Inductively coupled plasma mass spectrometry was employed to determine the levels of 10 elements (chromium, manganese, cobalt, nickel, copper, zinc, arsenic, molybdenum, cadmium and lead) in urine. The levels of each element in urine were divided into four groups ( Q1, Q2, Q3, and Q4 groups) based on quartiles. The associations between the levels of various elements in urine and the risk of arsenic poisoning were studied using binary logistic regression model and restricted cubic spline (RCS). Results:The age of the control group and the case group [ M ( Q1, Q3)] were 61 (53, 69) and 61 (56, 67) years old, respectively. There were 19 and 43 males, and 28 and 38 females, respectively. There was no statistically significant differences in age and and gender composition between the two groups ( Z = - 0.39, P = 0.700; χ 2 = 1.91, P = 0.167). The levels of urinary copper and cadmium of the case group were higher than those of the control group, and the differences were statistically significant ( Z = - 2.66, - 2.16, P < 0.05). The results of univariate logistic regression analysis showed that urinary copper was an influencing factor for arsenic poisoning ( P = 0.017). The results of multivariate logistic regression analysis revealed that after adjusting for covariates, urinary copper and arsenic were independent influencing factors of arsenic poisoning ( P < 0.05). Taking Q1 group as a reference, urinary copper in Q3 group [ OR (95% CI) = 8.23 (1.81, 37.39), P = 0.006] increased the risk of arsenic poisoning, while urinary arsenic in Q2, Q3, and Q4 groups [ OR (95% CI) = 0.24 (0.06, 0.92), 0.12 (0.03, 0.53), 0.15 (0.04, 0.63), P < 0.05] decreased the risk of arsenic poisoning. After adjusting for covariates, RCS did not show a dose-response relationship between urinary copper, urinary arsenic, and arsenic poisoning ( P > 0.05). Conclusion:Urinary arsenic and copper are associated with the risk of arsenic poisoning in the drinking water arsenic exposed areas of Inner Mongolia, copper exposure may contribute significantly to arsenic poisoning.

Objective:To explore the clinical features and genetic mutation sites of 28 patients with Congenital fibrinogen disorders (CFDs).Methods:A total of 28 unrelated CFDs patients admitted to Wenzhou People′s Hospital from June 2018 to April 2023 were enrolled into this research. A total of 2.7 mL of peripheral blood was collected from each patient for coagulation function tests, which included thrombin time (TT), fibrinogen activity (Fg: C), fibrinogen antigen (Fg: Ag), and gene detection. The Sanger sequencing method was employed to verify variations in the fibrinogen (Fg) protein-coding gene across 28 patients. Bioinformatics analyses, including harmfulness analysis, conservation analysis across different species, and spatial simulation predictions of variant proteins, were conducted by PolyPhen-2, PROVEAN, SnapGene, and Pymol softwares on the variant sites of these patients. Pathogenicity ratings for the detected variant sites were performed in accordance with the Standards and Guidelines for the Interpretation of Sequence variants by the American College of Medical Genetics and Genomics (ACMG) (hereafter referred to as the ACMG Guidelines). This study received approval from the Ethics Committee of Wenzhou People′s Hospital (Approval No. KY-2023-269), and informed consent was obtained from all participants before enrollment.Results:The clinical and genetic characteristics of 28 patients with CFDs in this study were as follows. ①Clinical data: Among the 28 patients, 2 cases were diagnosed with type I CFDs, while 26 cases were diagnosed with type II CFDs. And 50.0% (14/28) of the patients exhibited no clinical manifestations, while 28.6% (8/28) presented with bleeding manifestations, and 7.1% (2/28) exhibited thrombus manifestations, 3.6% (1/28) experienced both bleeding and thrombosis. Among female patients, 13.0% (3/23) exhibited a history of habitual abortion. All patients demonstrated TT and a significant decrease in Fg: C. ②Sanger sequencing revealed a total of 10 types of heterozygous variations in the FGA, FGB, and FGG genes across 28 patients, distributed among 9 loci. The variation at the γ c. 902G>A/c.901C>T accounted for the highest proportion (35.7%, 10/28), followed by the Bβ c. 569 A>G (28.6%, 8/28). ③Biological informatics analysis: the Aα c. 180+ 1G>T mutation was predicted to be highly deleterious. And the Aα c. 104G>A, Bβ c. 425T>G, Bβ c. 586C>T, and γ c. 902G>A/c.901C>T variations were also predicted to be harmful. Conservation analysis indicates that the 9 variant sites were highly conserved among homo sapiens, musculus, ovis aries, scrofa, and rattus. Spatial conformation analysis revealed that some variations lead to an increase or decrease in the number of hydrogen bonds. ④ACMG guideline rating analysis: Among the ten variations in the Fg protein-coding genes FGA, FGB, and FGG identified in 28 patients, 9 variations (Aα c. 104G>A, Aα c. 180+ 1G>T, Bβ c. 425T>G, Bβ c.569A>G, Bβ c. 586C>T, Bβ c. 643G>A, γ c. 901C>T, γ c. 902G>A, γ c. 1001A>C) were classified as pathogenic, while one variation (γ c. 908C>G) was classified as likely pathogenic. Conclusion:In this study, the majority of CFDs patients are diagnosed with type II CFDs, with 50% presenting clinical symptoms predominantly manifesting as bleeding, thrombosis, and recurrent miscarriage. The mutation hotspots are mainly located in exon 2 of FGA, exon 4 of FGB, and exon 8 of FGG.

[Objective]To observe the efficacy of Fuyuan Tiansui Decoction in the treatment of cerebellar ataxia syndrome(CAS).[Methods]A total of 29 patients with CAS treated at Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine outpatient clinics from February to October 2024 were enrolled.All participants received Fuyuan Tiansui Decoction treatment for 12 weeks.Before and after treatment,the changes of International Cooperative Ataxia Scale(ICARS),Scale for the Assessment and Rating of Ataxia(SARA),Activities of Daily Living(ADL)score and traditional Chinese medicine(TCM)syndrome scale were compared.[Results]A total of 29 patients were enrolled,with 27 completing the 12-week treatment course(2 withdrawals).Post-treatment analysis revealed an ICARS score improvement rate of 55.6%and a stabilization rate of 25.9%.The ICARS score was 35.85±12.90 before treatment and 34.33±13.10 after treatment(P<0.05).The SARA score and TCM syndrome scale score were significantly decreased(P<0.05).During the treatment,the adverse reaction rate was 11.1%,including 3 cases of diarrhea.[Conclusion]Fuyuan Tiansui Decoction can relieve the ataxia symptoms and the syndrome of kidney deficiency and marrow deficiency in patients with CAS.

Objective To compare the consistency of voice parameters collected by commonly used smart-phone brands in China and professional recording equipment,and to study whether smartphones can be used for voice research.Methods A total of 67 normal subjects were selected for voice recording using six different smart-phone brands(via the"Active Health"screening APP from the National Key Research and Development Program)and professional recording equipment.Acoustic voice parameters such as fundamental frequency parameters,fre-quency variation parameters,amplitude variation parameters,formant parameters,and energy parameters were ex-tracted from the vowels/a/,/i/,and/u/.A one-way ANOVA test and Tukey's HSD post-hoc comparisons were conducted on the independent variables.Results There were no significant differences between smartphones and professional recording equipment in terms of fundamental frequency parameters such as median F0,mean F0,max F0 and min F0;frequency parameters such as jitter local,jitter local absolute,jitter rap,jitter ppq5,and jitter ddp;amplitude parameters such as shimmer local,shimmer local dB,shimmer apq3,shimmer apq5,shimmer apq11,and shimmer dda;and formant parameters such as F1,F2,F3,and F4.However,significant differences were found in energy parameters such as mean energy(F=31.171,P＜0.001),max energy(F=34.193,P＜0.001),and min energy(F=5.453,P＜0.001)between smartphones and professional recording equipment.Conclusion The smartphones using the"Active Health"screening app from the National Key Research and Development Program can replace professional recording equipment for voice research.However,caution should be exercised when selec-ting energy-related acoustic parameters.