Hygroscopicity research has long been a key focus and hot topic in Chinese materia medica（CMM）. Elucidating hygroscopic mechanisms plays a vital role in formulation design， process optimization， and storage condition selection. Hygroscopic models serve as essential tools for characterizing CMM hygroscopic mechanisms， with various types available. The double exponential model is a kinetic mathematical model constructed based on the law of conservation of energy and Fick's first law of diffusion， tailored to the physical properties of CMM extracts. In recent years， this model has been extensively applied to simulate the dynamic moisture absorption behavior of CMM extracts and solid dosage forms under varying humidity conditions. It has revealed the correlation between moisture absorption kinetic parameters and material properties， offering a new perspective for characterizing the moisture uptake behavior of CMM. This paper systematically reviews the application progress of this model in the field of CMM， analyzes its advantages， disadvantages， and challenges in this domain， and explores its potential application trends in other fields. It aims to provide references for elucidating the moisture absorption mechanisms of CMM and researching moisture-proofing technologies， while also offering insights for its broader application in food and polymer materials.

ObjectiveTo investigate the association between immunoglobulin G （IgG）/immunoglobulin M （IgM） ratio and prognosis in patients with initially unresectable hepatocellular carcinoma （iuHCC） receiving TTP triple therapy with transcatheter arterial chemoembolization （TACE）， tyrosine kinase inhibitor （TKI）， and programmed cell death protein-1 （PD-1） inhibitors. MethodsA retrospective analysis was performed for the clinical data of 151 iuHCC patients who received TTP triple therapy in Department of Hepatobiliary Surgery， Guangxi Medical University Cancer Hospital， from November 2019 to December 2022， and according to IgG/IgM ratio， they were divided into high IgG/IgM group （IgG/IgM ratio >13.23） and low IgG/IgM group （IgG/IgM ratio ≤13.23）. The t-test was used for comparison of continuous data between groups， and the chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier method and the log-rank test were used for survival analysis， and the Cox proportional hazards model was used to investigate the potential influencing factors for overall survival （OS）. ResultsThe 151 patients had a median OS of 26.7 months （95% confidence interval ［CI］： 19.8-not reached） and a median progression-free survival of 12.5 months （95%CI： 10.4 — 15.8）. The objective response rate was 83.4% and the disease control rate was 94.0%. There were no significant differences in baseline data between the high IgG/IgM group and the low IgG/IgM group （all P>0.05）. There was a significant difference in median OS between the high IgG/IgM group and the low IgG/IgM group （20.6 months vs not reached， P=0.016）. In both the high IgG/IgM group and the low IgG/IgM group， salvage hepatectomy was significantly associated with the improvement in OS （χ²=8.297 and 10.307， both P<0.05）. The multivariate analysis showed that high IgG/IgM ratio （hazard ratio ［HR］=1.799， 95%CI： 1.077 — 3.006， P=0.025）， baseline alpha-fetoprotein >400 ng/mL （HR=1.762， 95%CI： 1.017 — 3.050， P=0.043）， and BCLC stage （HR=2.265， 95%CI： 1.212 — 4.232， P=0.010） were independent influencing factors for OS. ConclusionHigh IgG/IgM ratio is associated with a poorer prognosis in iuHCC patients receiving TTP triple therapy， and salvage hepatectomy has a potential value in improving the prognosis of patients with a high IgG/IGM ratio.

Patients with Takayasu arteritis combined with aortic valve disease often have a poor prognosis following surgical valve replacement, frequently encountering complications such as perivalvular leakage, valve detachment, and anastomotic aneurysm. This article presents a high-risk case wherein severe aortic valve insufficiency associated with Takayasu arteritis was successfully managed through transcatheter aortic valve implantation via the transapical approach. The patient had satisfactory valve function with no complications observed during the six-month postoperative follow-up. This case provides a minimally invasive and feasible alternative for the clinical management of such high-risk patients.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

Objective : To analyze the epidemiological characteristics and spatial clustering of brucellosis in Shanxi Province from 2019 to 2023, so as to provide a reference for formulating prevention and control measures of brucellosis. Methods: The case data of brucellosis in Shanxi Province from 2019 to 2023 were collected through the Infectious Disease Surveillance System of the Chinese Disease Prevention and Control Information System. The seasonal distribution, population distribution, and region distribution of brucellosis cases were described. Spatial autocorrelation analysis was applied to explore the spatial clustering characteristics of brucellosis. Results: A total of 21 241 human brucellosis cases were reported in Shanxi Province from 2019 to 2023, with an average annual reported incidence of 11.87/100 000, showing an upward trend (P<0.05). The peak incidence period was from March to August, with 14 163 cases reported cumulatively, accounting for 66.68% of the total. There were 16 336 male cases and 4 905 female cases, with a male-to-female ratio of 3.33:1. The high-incidence age group was 40-<70 years, with 15 675 cases accounting for 73.80%. The majority of patients were farmers, with 17 926 cases accounting for 84.39%. Spatial autocorrelation analysis showed that there was spatial clustering in the incidence of brucellosis from 2019 to 2023 (all Moran's I>0, P<0.05). The high-high clustering areas were mainly Datong City, and Shuozhou City in northern Shanxi, and Linfen City in the southern Shanxi. The low-low clustering areas were mainly Taiyuan City and Yangquan City in central Shanxi, and Changzhi City and Jincheng City in southeastern Shanxi. Conclusions From 2019 to 2023, the reported incidence of brucellosis in Shanxi Province showed an upward trend. The incidence peaked from March to August, and males, middle-aged and elderly people and farmers were the high-risk groups. There was spatial clustering and the high-high clustering areas gradually expanded from northern Shanxi to southern Shanxi.

Objective:To investigate the application effect of curved incision surgery in the treatment of hammock finger tendon.Methods:45 patients with hammock finger tendon who were admitted to Pingle Orthopedics and Traumatology Hospital in Shenzhen were selected from May 2022 to May 2023,all of whom were treated with curved incision surgery.Wound healing,functional recovery and complication rate were observed after surgery.Results:In this study,45 patients with hammock finger tendon were successfully followed up for 3 to 18 months,with an average follow-up of 1 year.The results of follow-up showed that all the incisions healed in one stage,and there were no complications such as skin infection and necrosis,exposed knots and skin irritation.X-ray reexamination before and after the operation showed,no complications such as loosening of the Kirkner needle,redisplacement of bone mass and nonunion of bone.During the follow-up period,there was no significant recurrence of vertical deformity.Crawford grading showed that,35 cases were excellent,9 were good,and 1 was fair.Conclusion:Using curved incision surgery to treat hammock finger tendon,which has the advantages of less trauma,faster recovery and fewer complications,and the effect is good.

Objective To establish two osteoarthritis models of destabilization of the medial meniscus(DMM)and chronic ankle instability(CAI)in mice,and compare the effects of knee osteoarthritis with varus deformity on ipsilateral ankle cartilage degeneration.Methods Thirty 6-week-old C57BL/6J male mice were randomly divided into a control group and two surgical groups(DMM group and CAI group),respectively.The progression of ankle joint degeneration was quantitatively evaluated through behavioral observation,imaging techniques and histopathology analysis in each group of mice over a 12-week period.Results A decline in gait stability and balance was observed in two surgical groups.Compared to the control group,the time required to cross the balance beam was increased by 23.20％,and the number of slips was increased by 43.26％at 12th week postoperatively in the DMM group.The bone volume fraction and bone mineral density of ankle joints also increased.Meanwhile,wear and tear of the ankle cartilage were found,with the formation of osteophytes,and OARSI score was increased by 88.89％.These changes in ankle joint were more pronounced in the CAI group.Conclusions This mouse model-based study revealed a coupling relationship between the knee and ankle motion.Knee osteoarthritis with varus deformity could lead to a significant ankle joint degeneration,while the damage was less severe than that observed in CAI.

Rheumatoid arthritis(RA)is a chronic autoimmune disease involving multiple joints,with irreversible cartilage damage and joint dysfunction,which seriously affects quality of life and social participation of patients.At present,efficacy of clinical RA therapy drugs is limited,and new therapeutic targets need to be found.Genes are closely related to RA,and epigenetics is mecha-nism that affects phenotype of genome,it is reversible and specific,which has been widely studied in RA.This article aims to review mechanism of epigenetic regulation in occurrence and development of RA cartilage injury,in order to provide new ideas for clinical treatment of RA.

Aim To investigate the effect of Brusatol a-gainst small cell lung cancer(SCLC)and its potential mechanism.Methods CCK-8 assay and flow cytome-try were used to detect the cytotoxic effect of Brusatol on SCLC cells.Western blot was employed to measure the expression levels of apoptosis-related proteins,in-cluding cleaved poly(ADP-ribose)polymerase(cleaved-PARP),B-cell lymphoma 2(Bcl-2)and Bcl-2-associated X protein(Bax).Network pharma-cology databases were utilized to identify common tar-gets of Brusatol,SCLC,and apoptosis.Kyoto Encyclo-pedia of Genes and Genomes(KEGG)and Gene On-tology(GO)enrichment analyses were performed on the intersecting genes.Molecular docking simulations between Brusatol and core targets were conducted using the CB-DOCK2 online platform to calculate binding en-ergies and sites.Western blot was further applied to detect the expression levels of signal transducer and ac-tivator of transcription 3(STAT3)and phosphorylated-STAT3(p-STAT3).Results Brusatol inhibited SCLC cell growth and induced apoptosis,significantly downregulating Bcl-2 and cleaved-PARP while upregu-lating Bax expression(P＜0.05).Network pharma-cology analysis revealed 108 common targets of Brusa-tol and SCLC,with the top three core targets being ep-idermal growth factor receptor(EGFR),STAT3,and tumor necrosis factor(TNF).Molecular docking re-sults indicated strong binding affinity between bruceine D and these core targets.Western blot validation con-firmed that bruceine D suppressed the expression of STAT3 and p-STAT3.Conclusion Brusatol exerts anti-SCLC effects by inhibiting STAT3 to induce apop-tosis in SCLC cells.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.