Chronic obstructive pulmonary disease （COPD） is a chronic respiratory disease that poses a significant threat to global health， exhibiting high morbidity， disability and mortality rate， with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex， and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death （PCD） is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine （TCM） is characterized by holistic regulation. In recent years， extensive research has been conducted in the TCM field focusing on modulating apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis for the treatment of COPD， yielding remarkable achievements. Therefore， this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD， aiming to provide insights and references for the clinical prevention， treatment and in-depth research of COPD.

Chronic obstructive pulmonary disease （COPD） is a chronic respiratory disease that poses a significant threat to global health， exhibiting high morbidity， disability and mortality rate， with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex， and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death （PCD） is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine （TCM） is characterized by holistic regulation. In recent years， extensive research has been conducted in the TCM field focusing on modulating apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis for the treatment of COPD， yielding remarkable achievements. Therefore， this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD， aiming to provide insights and references for the clinical prevention， treatment and in-depth research of COPD.

Viral pneumonia is an infectious disease caused by virus invading the lung parenchyma and interstitial tissue and causing lung inflammation， with the incidence rising year by year. Traditional Chinese medicine （TCM） can treat viral pneumonia in a multi-component， multi-target， and holistic manner by targeting the core pathogenesis of pneumonia caused by different respiratory viruses， demonstrating minimal side effects and significant advantages. According to the theory of healthy Qi and pathogenic Qi in TCM， the struggle between healthy Qi and pathogenic Qi and the imbalance between immunity and inflammation run through the entire process of viral pneumonia， and the immunity-inflammation status at different stages of the disease reflects different relationships between healthy Qi and pathogenic Qi. Immune dysfunction leads to the deficiency of healthy Qi， causing viral infections. The struggle between healthy Qi and pathogenic Qi causes immunity-inflammation imbalance， leading to the onset of viral pneumonia. Inflammatory damage causes persistent accumulation of phlegm and stasis， leading to the progression of viral pneumonia. The cytokine storm causes immunodepletion， leading to the excess of pathogenic Qi and diminution of healthy Qi and the deterioration of viral pneumonia. After the recovery from viral pneumonia， there is a long-term imbalance between immunity and micro-inflammation， which results in healthy Qi deficiency and pathogenic Qi lingering. Healthy Qi deficiency and pathogenic Qi excess act as common core causes of pneumonia caused by different respiratory viruses. Clinical treatment should emphasize both replenishing healthy Qi and eliminating pathogenic Qi， helping to restore the balance between healthy Qi and pathogenic Qi as well as between immunity and inflammation， thus promoting the recovery of patients from viral pneumonia. According to the TCM theory of healthy Qi and pathogenic Qi， this article summarizes the immunity-inflammation mechanisms at different stages of viral pneumonia， and explores the application of the method of replenishing healthy Qi and eliminating pathogenic Qi in viral pneumonia. The aim is to probe into the scientific connotation of the TCM theory of healthy Qi and pathogenic Qi in viral pneumonia and provide ideas for the clinical application of the method of replenishing healthy Qi and eliminating pathogenic Qi to assist in the treatment of viral pneumonia.

In this study, high-throughput promoter screening was employed to optimize the heterologous expression of Mesorhizobium loti carbonic anhydrase (MlCA) in order to reduce the costs associated with carbon capture and storage (CCS). To simplify the complexity of traditional vectors, a fusion protein expression system was constructed using superfolder green fluorescent protein (sfGFP) and MlCA. The synthetic promoter library in Escherichia coli was utilized for efficient one-step screening. Based on fluorescence intensity on agar plates, a total of 143 monoclonal colonies were identified, forming a library with varying expression levels. The top four recombinants with the highest fluorescence intensity were selected, among which MlCA driven by the promoter 342042/+ exhibited the highest enzymatic activity, with a specific activity of the 34.6 Wilbur-Anderson units (WAU)/mg. Optimization experiments revealed that MlCA exhibited the best performance when cultured for 4 days under pH 7.0 and 40 ℃ conditions. The Michaelis constant (K_m·hdy) and maximum reaction rate (V_max·hdy) for CO₂ hydration were determined to be 62.46 mmol/L and 0.164 mmol/(s·L), respectively. For esterase hydrolysis, MlCA showed the K_m and V_max of 639.8 mmol/L and 0.035 mmol/(s·L), respectively. MlCA accelerated the CO₂ hydration process, promoting CO₂ mineralized into CaCO₃ within 9 min at low pH and room temperature conditions. Scanning electron microscopy (SEM) and X-ray diffraction (XRD) analyses confirmed that the precipitated product was calcite. This study provides a low-cost and environmentally friendly alternative for future CCS applications.
Carbonic Anhydrases/biosynthesis* ; Promoter Regions, Genetic/genetics* ; Escherichia coli/metabolism* ; Carbon Sequestration ; Carbon Dioxide/metabolism* ; Green Fluorescent Proteins/metabolism*

Objective:To investigate the expression of long noncoding RNA (lncRNA) BMPR1B-AS1 in ovarian cancer and its impact on prognosis, so as to evaluate its value as a potential biomarker.Methods:The TCGA, GEPIA, and UALCAN databases were used to retrospectively analyze the expression differences of BMPR1B-AS1 in gynecological tumors, and prognostic analysis was performed in combination with clinical data. The expression level of BMPR1B-AS1 in ovarian cancer tissues and cell lines was verified by real-time fluorescent quantitative reverse transcription polymerase chain reaction (RT-qPCR), and univariate and multivariate Cox regression models were used to analyze its relationship with the prognosis of ovarian cancer.Results:Database analysis showed that the expression of BMPR1B-AS1 in ovarian cancer and endometrial cancer was higher than that in the non-tumor group (all P<0.05), and high expression of BMPR1B-AS1 in ovarian cancer was associated with better prognosis ( P<0.05). Experimental verification showed that the expression of BMPR1B-AS1 in ovarian cancer tissues was significantly higher than that in benign ovarian tissues, and the expression of BMPR1B-AS1 in ovarian cancer cell lines was higher than that in normal human ovarian epithelial cells ( P<0.05). Cox regression analysis indicated that high expression of BMPR1B-AS1 was an independent protective factor for the prognosis of ovarian cancer ( P<0.05). Conclusions:The expression of BMPR1B-AS1 in ovarian cancer and endometrial cancer is higher than that in non-tumor groups, and it is an independent protective factor for good prognosis in ovarian cancer patients. It may serve as a new biomarker, providing new ideas for the diagnosis and treatment of ovarian cancer.

Objective Based on Network pharmacology to explore the mechanism of Compound Danshen Dripping Pills in treating Psycho-cardiological disease.Methods To obtain the validated targets of the complete formulation of Compound Danshen Dripping Pills,data were sourced from databases including China National Knowledge Infrastructure,Wanfang,VIP,and PubMed.Additionally,genes associated with Psycho-cardiological disease were retrieved from the Genecards database.Utilizing the Digital Intelligence Traditional Chinese Medicine Innovation Platform,network proximity was calculated for the obtained targets and genes.The potential targets of Compound Danshen Dripping Pills in the treatment of Psycho-cardiological disease conduct enrichment analysis,trace the source of medicinal materials and effective components absorbed into the blood.Results Obtained 192 targets for the Compound Danshen Dripping Pills,1137 genes for Psycho-cardiological disease,and the network proximity calculation showed a significant correlation between the two(Z-score=-6.5282).The enrichment analysis of the 95 potential targets predominantly reveals their association with several key pathways,including AGE-RAGE signaling in diabetic complications,Lipid and atherosclerosis,fluid shear stress and atherosclerosis,the HIF-1 signaling pathway,TNF signaling.The traceability analysis indicates that 80 targets are associated with three distinct medicinal materials,10 targets are linked to two medicinal materials,and 5 targets are connected to a single medicinal material.95 targets are mainly related to 17 effective blood components such as salvianolic acid B,tanshinone ⅡA,and salvianolic acid A.The top 16 key genes were obtained by sorting the targets based on the Betweenness values corresponding to the blood components.The enrichment analysis of the key gene indicated that the treatment of Psycho-cardiological disease with Compound Danshen Dripping Pills is associated with the positive regulation of smooth muscle cell proliferation and the hypoxia response.Additionally,it is linked to the AGE-RAGE signaling pathway in diabetic complications,fluid shear stress and atherosclerosis,the relaxin signaling pathway,lipid and atherosclerosis,and the TNF signaling pathway,etc.Conclusion The Compound Danshen Dripping Pills may improve Psycho-cardiological disease by regulating inflammatory response,oxidative stress,myocardial ischemia,neuroprotection,and neurotoxicity inhibition through components such as salvianolic acid B,tanshinone ⅡA,tanshinone Ⅰ,salvianolic acid A,protocatechuic acid,etc.

Objective:To understand trends and hotspots of TCM research papers published in journals with high IF basing on a bibliometric analysis.Methods:TCM research papers published between January 1, 2014 and December 31, 2024 from 80 journals with IF higher than 16.0 were retrieved from medical, life sciences and comprehensive journals in Journal Citation Reports of 2024. CiteSpace 6.3.R1 and Excel 2021 were used to analyze and visualize annual publication volume, research fields, features of clinical study, institutes, funds and keywords.Results:A total of 51 papers were included, showing an increasing trend in annual publication volume; the main research areas were pharmacology, acupuncture&moxibustion and internal medicine. Multi-center randomized controlled trials were the main clinical studies; China Academy of Chinese Medical Sciences was the leading institute in terms of publication volume; 84 funds were involved, including National Natural Science Foundation of China. Keywords that appeared most frequently were TCM, efficacy, double blind, electroacupuncture, stimulation and management.Conclusion:The number and quality of TCM research papers are improved simultaneously; future research needs to deepen international cooperation, and pay attention to the integration of TCM diagnosis and treatment characteristics and modern scientific research methods.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Disease X refers to a potential pandemic infectious disease caused by an unknown pathogen. The management of such diseases presents a multitude of challenges to clinical laboratory. Experts in relevant fields shared the latest development of clinical laboratory technology and its application in clinical practice in this issue, providing robust support and assurance for the effective response to Disease X.

Objective:To investigate the epidemiological characteristics, disease spectrum, and laboratory characteristics of human immunodeficiency virus/cytomegalovirus (HIV/CMV) co-infection, to provide references for clinical diagnosis and treatment.Methods:A cross-sectional study was conducted. Clinical information of 544 HIV/acquired immune deficiency syndrome (AIDS) patients who underwent CMV-DNA tests in Beijing Ditan Hospital in 2023 was collected. Participants were categorized into CMV-infection group (126 cases) and non-CMV-infection group (418 cases). The prevalence of CMV infection was analyzed. Univariate and multivariate logistic regression analysis were performed to identify risk factors for CMV/AIDS co-infection. The disease spectrum, laboratory characteristics, serum CMV-DNA load changes, treatment prognosis and outcomes in the CMV-infected group were evaluated. SPSS 27.0 was used for statistical analysis including the χ 2 test, Mann-Whitney U test, and Kruskal-Wallis H test. Results:The CMV infection rate among HIV/AIDS patients was 23.16% (126/544). Multivariate analysis identified low CD4 +T-lymphocyte count [<50 cells/μl; OR=27.962, 95% confidence interval( CI) 11.957-65.389] and high HIV RNA load (>1×10 5 copies/ml; OR=2.057, 95% CI 1.237-3.420) as independent risk factors for CMV co-infection in HIV/AIDS patients. Among the 126 HIV/CMV co-infected patients, CMV viremia was the most common manifestation (38.10%, 48/126), followed by CMV pneumonia (33.33%, 42/126) and CMV retinitis (11.90%, 15/126), which were mainly observed in patients with CD4 +T-lymphocyte counts <50 cells/μl. Of the patients receiving anti-CMV therapy, 80.70% (46/57) exhibited reduced CMV-DNA loads compared with baseline. Totally 29.82% (17/57) of those patients initiating antiretroviral therapy alone achieved CMV-DNA reduction compared with baseline. Overall, 80.16% (101/126) of patients achieved favorable prognosis. Conclusion:CMV co-infection is high in HIV/AIDS patients. Disease spectrum of HIV/CMV co-infection are dominated by CMV viremia and CMV pneumonia. Timely anti-CMV therapy is pivotal for reducing CMV-DNA loads and improving prognosis.