ObjectiveTo explore the clinical efficacy and mechanism of Bupi Qingfei prescription （BPQF） in treating stable bronchiectasis in the patients with syndromes of lung-spleen Qi deficiency and phlegm-heat accumulation in the lungs. MethodsA randomized， double-blind， placebo-controlled trial was conducted. Patients were randomized into BPQF and placebo control （PC） groups. On the basis of conventional Western medicine treatment， the BPQF granules and placebo were respectively administered at 10 g each time， twice a day， for a course of 24 weeks. The TCM symptom scores， Quality of Life Questionnaire for Bronchiectasis （QOL-B） scores， lung function indicators， T lymphocyte subsets， level of inflammatory factors in the sputum， level of neutrophil elastase （NE） in the sputum， and occurrence of adverse reactions were observed before and after treatment in the two groups. ResultsA total of 64 patients completed the study， encompassing 32 in the BPQF group and 32 in the PC group. After treatment， the BPQF group showed decreased TCM symptom scores （P<0.01）， increased QOL-B scores （P<0.01）， and declined levels of tumor necrosis factor （TNF）-α and NE （P<0.05， P<0.01）. The PC group showed decreased TCM symptom （except spleen deficiency） scores （P<0.01）， increased the QOL-B health cognition and respiratory symptom domain scores （P<0.05， P<0.01）， and a declined TNF-α level （P<0.01）. Moreover， the BPQF group had lower TCM symptom （except chest tightness） scores （P<0.05， P<0.01）， higher QOL-B （except treatment burden） scores （P<0.05， P<0.01）， and lower levels of interleukin-6 and TNF-α （P<0.05） than the PC group. Neither group showed serious adverse reactions during the treatment process. ConclusionBPQF can ameliorate the clinical symptoms of stable bronchiectasis patients who have lung-spleen Qi deficiency or phlegm-heat accumulation in the lungs by regulating the immune balance and inhibiting airway inflammatory responses.

Dry eye disease is a chronic ocular surface disorder of multifactorial origin, characterized by a loss of tear film homeostasis and associated with a range of ocular discomfort symptoms. Growing evidence underscores a significant bidirectional relationship between dry eye and depression: individuals with dry eye disease exhibit a higher prevalence of depressive disorders, and conversely, those diagnosed with depression demonstrate an increased susceptibility to developing dry eye. This interplay is mediated through several pathophysiological pathways, such as chronic inflammation, cerebral functional alterations, gut microbiome dysregulation, and sleep disturbances, which may collectively sustain a vicious cycle. The use of antidepressant therapy introduces further complexity, exerting heterogeneous effects on dry eye—some agents may offer symptomatic relief, whereas others can aggravate ocular surface impairment. The mechanisms responsible for these differential outcomes remain incompletely elucidated and merit further investigation. This review systematically consolidates epidemiological data on the dry eye-depression link, examines potential shared pathological mechanisms, and evaluates current therapeutic options. We propose an integrated management approach that combines conventional dry eye treatments, such as traditional Chinese medicine, electroacupuncture, physical activity and antidepressants—a multimodal strategy that may yield synergistic benefits in alleviating both ocular and affective symptoms, thereby improving overall quality of life. Moving forward, research should focus on deciphering the underlying mechanistic pathways and facilitating the translation of these insights into clinical practice to inform targeted, combined treatment regimens for patients with dry eye and depression.

BACKGROUND:As a common disease in middle-aged and elderly,osteoarthritis is difficult to cure,and the pathogenesis is not clear.Long non-coding RNA participates in the pathogenesis of osteoarthritis through many ways,such as regulating translation,promoting or inhibiting mRNA,and adsorbing miRNAs. OBJECTIVE:To review the types of common long non-coding RNA in osteoarthritis,and the influence of multiple long non-coding RNAs on the pathological factors related to osteoarthritis,to analyze the future application of long non-coding RNAs in osteoarthritis. METHODS:Literature retrieval was conducted in CNKI,WanFang Data,VIP database,PubMed,Web of Science and Sciencedirect databases,using the search terms of"osteoarthritis,degenerative joint disease,degenerative arthritis,OA,LncRNA,long non-coding RNA,long noncoding RNA,long intergenic non-coding RNA"in Chinese and English.All relevant literature published from 1976 and May 2024 was retrieved.After literature screening,induction,analysis and summary,93 articles were finally included for review. RESULTS AND CONCLUSION:This review collected 25 long non-coding RNAs that are well studied with osteoarthritis.Long non-coding RNAs,as a molecular sponge for miRNA,are competing endogenous RNAs to competitively adsorb miRNAs and then affect downstream targets.Long non-coding RNAs can regulate physiopathological processes such as chondrocyte apoptosis and proliferation,cartilage extracellular matrix degradation,and inflammatory responses.Long non-coding RNAs are expected to become a biomarker and potential therapeutic target for the clinical diagnosis and therapeutic prognosis of osteoarthritis,and it may become a new strategy for the clinical treatment of osteoarthritis in the future.

Objective:To investigate the application value of dual-energy computer tomo-graphy (CT) multi-parameter imaging in predicting the pathological grade of pancreatic ductal adeno-carcinoma (PDAC).Methods:The retrospective cohort study was conducted. The clinicopatholo-gical data of 147 patients with PDAC who were admitted to The Fifth Affiliated Hospital of Wenzhou Medical University from January 2017 to August 2023 were collected. There were 102 males and 45 females, aged (59±10)years. All patients underwent preoperative dual-energy CT examination and postoperative histopathological examination. The 147 patients were divided into a training set of 103 cases and a test set of 44 cases by stratified random sampling at a ratio of 7∶3. The training set was used to construct the prediction model, and the test set was used to verify the effectiveness of prediction model. Observation indicators: (1) analysis of factors affecting the pathological grade of PDAC patients in the training set; (2) construction and evaluation of the fusion prediction model for pathological grade of PDAC. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate and multivariate analyses were conducted using the Logistic regression model. The performance of the model was evaluated by receiver operating characteristic (ROC) curve, and the area under the curve (AUC), accuracy, sensitivity and specificity were calculated. The Delong test was used to analyze the effec-tiveness of model. The calibration curve and decision curve of Hosmer-Lemeshow test were used to evaluate the consistency and clinical application value of the nomogram, respectively. Results:(1) Analysis of factors affecting the pathological grade of PDAC patients in the training set. Results of multivariate analysis showed that tumor cystic necrosis, vascular invasion, standardized iodine concentration (NIC) in venous phase, effective atomic number (Zeff) in venous phase, and energy spectrum curve slope (λ HU) in venous phase were all independent factors affecting the pathological grade of PDAC patients in the training set ( odds ratio=4.326, 3.887, 4.155, 5.389, 3.164, 95% confidence interval as 1.167-16.033, 1.111-13.592, 1.707-10.113, 1.284-22.613, 1.247-8.028, P<0.05). (2) Construction and evaluation of the fusion prediction model for pathological grade of PDAC. Accor-ding to the results of multivariate analysis, tumor cystic necrosis, vascular invasion, NIC in venous phase, Zeff in venous phase and λ HU in venous phase were all included to construct the clinical-imaging fusion prediction nomogram model. The AUC, accuracy, sensitivity and specificity of the fusion prediction model in the training set were 0.938 (95% confidence interval as 0.896-0.981), 87.38%, 89.74% and 85.94%, respectively. The above indicators of the fusion prediction model in the test set were 0.893 (95% confidence interval as 0.802-0.985), 84.09%, 82.35% and 85.19%, respectively. Results of Delong test showed that there was no significant difference in AUC between the training set and the test set ( Z=0.343, P>0.05). Results of Hosmer-Lemeshow test showed that the fusion prediction model had a good fit in the training set and the test set ( χ2=3.042, 7.545, P>0.05). Results of calibration curve showed that the predictive ability of the fusion prediction model was good. Conclusions:Multiple parameters in venous phase of the dual-energy CT can be used as imaging markers for preoperative evaluation of the pathological grade of patients with PDAC. Establishing a clinical-imaging fusion prediction model can effectively predict the pathological grade of PDAC.

BACKGROUND:Large deep burn wounds are often accompanied by scar hyperplasia after healing,requiring transplantation of medium-thickness skin for repair,and the medium-thickness skin slices taken generally reach below the papillary layer of the dermis.If not handled correctly,complications such as delayed healing,ulceration,and post-healing pain and itching in the donor area can easily occur.Therefore,the repair of wounds in the donor area should be emphasized.OBJECTIVE:To observe the safety and practicability of autologous scalp repair of skin donor area in patients with deep burns and scarring.METHODS:Sixty patients with deep burn and scar hyperplasia admitted to the Burn Department of Zhengzhou First People's Hospital from January 2021 to September 2023 were selected as the study subjects.They all needed medium-thickness skin transplantation and repair,and were divided into study group(n=30)and control group(n=30)according to random systematic sampling method.The skin was taken from the patient's own medium-thickness skin on the leg or back.In the study group,the skin donor area was repaired with self-blade thick scalp replantation,and in the control group,the skin donor area was repaired with absorbent dressing.The wound healing rate and the time to complete epithelialization of the wound were observed and compared in the two groups 6 days after surgery.The pain of dressing change at 3 and 6 days after surgery and scar hyperplasia in the skin donor area at 6 months after surgery were compared between two groups.RESULTS AND CONCLUSION:Compared with the control group,the time to complete epithelialization of the wound was significantly lower in the study group(P<0.05),and the wound healing rate was significantly higher in the study group(P<0.05),the pain score for dressing change at 3 and 6 days after surgery was significantly lower in the study group(P<0.05),and the scar hyperplasia rate,scar score and itch score were also significantly lower in the study group(P<0.05)at 6 months after surgery.In conclusion,autologous scalp repair of the medium-thickness skin donor area can accelerate wound healing and reduce scar hyperplasia.

Glioblastoma multiforme(GBM)is a grade 4 glioma with the highest malignancy and invasiveness in the central nervous system,accounting for approximately 30％of all tumors in the central nervous system.Due to the unclear pathogenesis of GBM,there is currently no specific target for the treatment of GBM.Temozolomide(TMZ)is the only first-line chemotherapeutic drug for the treatment of GBM,but suffers from a low drug response rate and high susceptibility to drug resistance.Therefore,the development of new targets and novel GBM therapeutic agents is an urgent clinical problem.Pentraxin 3(PTX3),a member of the pentameric protein superfamily,has been shown to have a promotive effect on a variety of tumors.Increasing evidences showed that PTX3 played a crucial role in the progression of GBM.PTX3 can promote the proliferation,migration and invasion ability of GBM cells,increase the angiogenesis ability in the GBM microenvironment and malignant progression of GBM.In the article,the structure,physiological function,expression regulation,role and mechanism of PTX3 in GBM were mainly reviewed,with a view to provide guidance for PTX3 as a potential drug target for the treatment of GBM.

Objective To observe the value of CT angiography(CTA)radiomics for evaluating the risk of basilar tip aneurysm(BTA)rupture.Methods Totally 133 BTA patients were retrospectively enrolled and divided into ruptured group(n=39)and unruptured group(n=94)based on BT A ruptured or not,also divided into training set(n=93)and test set(n=40)at the ratio of 7∶3.CTA radiomics features of BTA were extracted,the best radiomics features were screened,and the radiomics score(Radscore)was calculated.Then machine learning(ML)models were established with logistic regression(LR),random forest(RF),decision tree(DT)and K-nearest neighbor(KNN)algorithms,respectively.Radscore model was also established,and finally a combined model was constructed based on clinical data,routine imaging findings and Radscore.The efficacy of the above models for evaluating the risk of BTA rupture were comparatively analyzed.Results Finally 4 radiomics features of BTA were obtained.The area under the curve(AUC)of LR,RF,DT and KNN radiomics models for differentiating ruptured and unruptured BTA in training set was 0.770,0.816,0.817 and 0.795,respectively,while that in test set was 0.795,0.793,0.786 and 0.824,respectively,both being not significant different(both P＞0.05).Patient's gender,alcohol consumption history,BTA morphology and Radscore were all independent impact factors of BT A rupture(all P＜0.05),which were used to establish a clinical-routine imaging model.For all 133 cases,AUC of the combination model for differentiating ruptured and unruptured BTA was 0.877,of Radscore model was 0.775,while that of clinical-routine imaging model was 0.677,of the former was significantly higher than of the last two(both P＜0.05).Conclusion CTA radiomics was helpful for evaluating the risk of BTA rupture.Combining with clinical data and routine imaging findings could further improve the value of CTA radiomics.

The high incidence of peristoma moisture-related skin injury in patients with enterostomies seriously reduces patients′ quality of life. This paper reviewed the risk factors and risk prediction models for peristoma moisture-related skin injury, with the aim of providing an important basis for early identification and intervention in the high-risk group of peristoma moisture-related skin injury after clinical stoma surgery, and then providing a reference for the personalised health management of patients with intestinal stoma.

Objective To observe the value of CT angiography(CTA)radiomics for evaluating the risk of basilar tip aneurysm(BTA)rupture.Methods Totally 133 BTA patients were retrospectively enrolled and divided into ruptured group(n=39)and unruptured group(n=94)based on BT A ruptured or not,also divided into training set(n=93)and test set(n=40)at the ratio of 7∶3.CTA radiomics features of BTA were extracted,the best radiomics features were screened,and the radiomics score(Radscore)was calculated.Then machine learning(ML)models were established with logistic regression(LR),random forest(RF),decision tree(DT)and K-nearest neighbor(KNN)algorithms,respectively.Radscore model was also established,and finally a combined model was constructed based on clinical data,routine imaging findings and Radscore.The efficacy of the above models for evaluating the risk of BTA rupture were comparatively analyzed.Results Finally 4 radiomics features of BTA were obtained.The area under the curve(AUC)of LR,RF,DT and KNN radiomics models for differentiating ruptured and unruptured BTA in training set was 0.770,0.816,0.817 and 0.795,respectively,while that in test set was 0.795,0.793,0.786 and 0.824,respectively,both being not significant different(both P＞0.05).Patient's gender,alcohol consumption history,BTA morphology and Radscore were all independent impact factors of BT A rupture(all P＜0.05),which were used to establish a clinical-routine imaging model.For all 133 cases,AUC of the combination model for differentiating ruptured and unruptured BTA was 0.877,of Radscore model was 0.775,while that of clinical-routine imaging model was 0.677,of the former was significantly higher than of the last two(both P＜0.05).Conclusion CTA radiomics was helpful for evaluating the risk of BTA rupture.Combining with clinical data and routine imaging findings could further improve the value of CTA radiomics.

[Purpose]To analyze the epidemiology and disease burden of gastric cancer in China,Japan and Republic of Korea from 1990 to 2021 and to predict changing trends from 2022 to 2031.[Methods]Data were obtained from the Global Burden of Disease(GBD)database.Age-stan-dardized incidence rate(ASIR),age-standardized mortality rate(ASMR),crude incidence rate(CIR),crude mortality rate(CMR),and disability-adjusted life years(DALY)rate for China,Japan and Republic of Korea from 1990 to 2021 were analyzed.Joinpoint regression software was used to analyze trends and calculate annual percentage changes.The autoregressive integrated moving average(ARIMA)model was applied to predict incidence and mortality from 2022 to 2031.[Results]In 2021,China had 611 799 new gastric cancer cases and 445 013 deaths,with an ASIR of 29.05/105 and an ASMR of 21.51/105,both significantly higher than those in Japan and Republic of Korea.Among men in China,both the ASIR(44.48/105)and ASMR(32.61/105)were the highest among the three countries,exceeding those in Japan(38.77/105,20.26/105)and Re-public of Korea(38.98/105,20.50/105).Among women,China had the highest number of new cases,but its ASIR(15.23/105)was slightly lower than Republic of Korea's(15.57/105)and higher than Japan's(14.66/105).However,China's ASMR among women(12.02/105)remained significantly higher than Japan's(7.64/105)and Republic of Korea's(8.08/105).From 1990 to 2021,ASIR,ASMR and DALY rates for gastric cancer declined in all three countries,but the reduction in China was significantly smaller than that in Japan and Republic of Korea,with Republic of Korea showing the steepest declines across all indicators.ARIMA model predictions indicated significant differences in disease burden among the three countries from 2022 to 2031.ASIR is projected to continue declining in China and Republic of Korea,reaching 22.87/105 and 12.45/105,respectively by 2031,while in Japan it is predicted to rise to 26.55/105.ASMR is projected to decline in all three countries,reaching 13.71/105(China),10.44/105(Japan),and 9.08/105(Republic of Korea)in 2031.[Conclusion]Among China,Japan and Republic of Korea,China had the highest ASIR and ASMR of gastric cancer in 2021.Moreover,from 1990 to 2021,the reductions in ASIR,ASMR and DALY rates for gastric cancer were the smallest in China compared to Japan and Republic of Korea.These findings suggest that the disease burden of gastric cancer remains substantial in China,high-lighting the need for increased efforts in gastric cancer screening and early diagnosis and treatment.