Implementation science (IS) aims to systematically analyze and address the real-world gaps from evidence to practice and the influencing factors of the context. It is necessary to carry out qualitative research to gather relevant implementation outcomes. Nevertheless, traditional qualitative analysis has issues such as consuming a great deal of time and energy, and it is unable to promptly provide the crucial data required for implementation science research. The Rapid Qualitative Analysis (RQA) method, through semi-structured interviews and the adoption of techniques such as immediate data condensation and matrix analysis, can effectively shorten the cycle of qualitative data collection and data processing. RQA can promptly identify social determinants of health such as structural barriers, facilitators, and the behavioral characteristics of target groups. It provides a real-time basis for public health decision-making, the interpretation of complex social phenomena, and the process and effectiveness evaluation of research projects. Although RQA is difficult to conduct in-depth theoretical analysis based on grounded theory, its efficiency and flexibility make it the preferred tool for large-scale and time-sensitive research. Thus, it has been widely applied in implementation science research. This paper sorts out the core concepts and commonly used technical methods of RQA, as well as the differences between RQA and traditional qualitative analysis. It also explores the applications of RQA in intervention optimization, process evaluation, and implementation outcome evaluation. By integrating specific cases, this paper clarifies its application value in the field of implementation science. In the future, it is advisable to explore the integration of RQA with technologies such as artificial intelligence and big data, in order to bridge the gap between the transformation of scientific research achievements into practice. Under circumstances of limited resources or tight time constraints, RQA can be used to efficiently conduct implementation science research, providing convenient and scientific methodological and technical support for accelerating evidence-based practice.

Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

Objective To explore the mechanism of Modified Xiaoxianxiong Decoction(MXD)in"treating different diseases with the same method"for type 2 diabetes mellitus(T2DM)and obstructive sleep apnea(OSA)using network pharmacology and molecular docking.Methods Active components and related targets of the seven herbs in MXD(composed of Coptidis Rhizoma,Pinelliae Rhizoma,Trichosanthis Fructus,Bupleuri Radix,Salviae Miltiorrhizae Radix et Rhizoma,Paeoniae Radix Rubra,Astragali Radix)were retrieved and screened from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP).Swiss Target Prediction was used for target prediction of active components,followed by gene standardization using the UniProt database.Disease-related targets of T2DM and OSA were obtained from DisGeNET,OMIM,and GeneCards databases.A Venn diagram was used to identify overlapping targets between disease-related targets and active component-related targets,yielding potential therapeutic targets of MXD for both T2DM and OSA.The STRING database and Cytoscape 3.10.2 were employed to construct a protein-protein interaction(PPI)network and a"drug-component-target"network,respectively.Core active components and core targets were identified through network topology analysis.GO functional and KEGG pathway enrichment analyses were performed on potential targets using Metascape.Molecular docking validation was conducted using AutoDock to assess binding affinity between core targets and compounds.Results A total of 157 active components of MXD acted on 1 043 protein targets.After comparison with 1 798 OSA-related targets and 3 466 T2DM-related targets,253 potential therapeutic targets were identified.GO enrichment analysis revealed that these targets were primarily involved in biological processes such as upregulation of phosphorus metabolism,regulation of cell migration,circulatory system processes,and hormone level regulation.KEGG pathway analysis identified key pathways including Rap1,AGE-RAGE,cAMP,and Alzheimer's disease.PPI and"drug-component-target"network topology analysis screened 39 core targets(e.g.,IL-6,TNF,Akt1,IL-1β,EGFR)and core active components(e.g.,salvianolic acid B,tanshinone IIA,baicalin,curcumin).Molecular docking confirmed stable binding between these components and their corresponding target proteins.Conclusion The common pharmacodynamic basis of MXD in"treating different diseases with the same method"for T2DM and OSA includes active components such as salvianolic acid B,baicalin,and curcumin.The shared mechanism may involve key targets(e.g.,IL-6,TNF,Akt1)and modulation of signaling pathways such as Rap1,AGE-RAGE,and cAMP.

Objective:To investigate the characteristics of pathogen spectrum and the clinical significance of bronchoalveolar lavage fluid(BALF)metagenomic next-generation sequencing(mNGS)in malignant tumor patients with pulmonary infections.Methods:A retrospective analysis was performed for the patients with malignant tumor who were admitted to department of oncology,the Second affiliated hospital of army medical university,from January 2021 to December 2024.All patients developed respiratory symptoms dur-ing treatment and were diagnosed with pulmonary inflammation based on lung imaging findings,and BALF mNGS and sputum cul-ture were used for pathogen detection.A descriptive analysis was used to summarize the clinical data of patients and the distribution of pathogens,which was compared between patients with different cancer types and metastatic statuses.BALF mNGS and sputum cul-ture were compared in terms of diagnostic performance.Results:A total of 127 patients were enrolled,among whom 70.9%had non-small cell lung cancer,15.0%had small cell lung cancer,and 14.1%had other malignancies.The patients with distant metastasis ac-counted for 48.0%.A total of 145 BALF mNGS tests were performed,among which 84 tests(57.9%)yielded positive results for patho-gens,and 13 tests detected polymicrobial infections,accounting for 15.5%(13/84).A total of 121 pathogenic strains were identified,with fungi(41.3%)and Gram-negative bacteria(39.7%)as the main pathogens,and common pathogens for infection included Pneumo-cystis jirovecii(16.5%),Candida albicans(11.6%),Haemophilus influenzae(11.6%),Klebsiella pneumoniae(10.7%),Pseudomonas ae-ruginosa(10.7%),and Staphylococcus aureus(8.3%).There was a significant difference in the distribution of pathogens between the pa-tients with different types of cancer and statuses of distant metastasis,but Pneumocystis jirovecii remained the most common pathogen for opportunistic infection across all subgroups.A total of 70 patients underwent both sputum culture and BALF mNGS,and the posi-tive rate of sputum culture was only 16.0%,which was significantly lower than that of BALF mNGS(χ2=35.52,P<0.001).The concor-dance rate between sputum culture and BALF mNGS was 48.1%.Conclusion:BALF mNGS can accurately reveal the complex patho-gen spectrum in malignant tumor patients with pulmonary infections,especially the high-risk opportunistic pathogens such as Pneumo-cystis jirovecii.For patients with negative results of sputum culture,BALF mNGS can significantly improve the detection rates of patho-gens and polymicrobial infections.

With the increase in the obese population and the aging of the society,the incidence rates of type 2 diabetes mellitus(T2DM)and obstructive sleep apnea(OSA)continue to increase,and more than half of the patients with T2DM also suffer from OSA.T2DM patients with OSA have a higher risk of developing macrovascular and microvascular complications,which severely impairs their quality of life,and early identification of T2DM patients with OSA can improve their prognosis.This article summarizes the latest re-search advances in the pathogenesis,biomarkers,and treatment measures of T2DM with OSA,in order to provide insights for the screening,diagnosis,and treatment of T2DM with OSA.

OBJECTIVE To assess the scientific rigor， clarity and feasibility of the recommendations of the Guidelines for Evidence-based Use of Biological Agents for the Clinical Treatment of Osteoporosis （hereinafter referred to as the Guideline） through external review， in order to further revise and improve the Guideline recommendations. METHODS This study employed a cross-sectional survey research design， a convenience sampling method was adopted to select frontline medical workers in the field of osteoporosis （including clinical doctors， clinical pharmacists， and nurses） as well as patients or their family members. External review was conducted through a combination of closed-ended and open-ended electronic questionnaires to get feedback from them on the appreciation，clarity and feasibility of the 32 preliminary recommendations in the Guideline. RESULTS A total of 90 external review subjects from 15 hospitals were collected， including 45 clinical doctors， 15 clinical pharmacists， 15 nurses and 15 patients or their family members. The overall appreciation degree of recommendations was 99.38%， the overall clarity degree of recommendations was 98.92%， and the overall feasibility degree of recommendations was 99.65%. At the same time， 111 subjective suggestions were collected， which provided an important reference for the further improvement of the Guideline recommendations. Based on the above feedback， the Guideline steering committee and core expert group revised the wording of 12 draft recommendations without deletion， and finally determined 32 recommendations. CONCLUSIONS The external review provides an important basis for the final formation of the Guideline， further improves the scientific rigor， clarity and feasibility of the recommendations， and ensures the standardization， practicality and implementability of the Guideline.

Glioma represents the most prevalent malignant tumor of the central nervous system, with chemotherapy serving as an essential adjunctive treatment. However, most chemotherapeutic agents exhibit limited ability to penetrate the blood-brain barrier (BBB). This study introduced a novel dual-targeting strategy for glioma therapy by modulating the formation of nanobody-driven protein coronas to enhance the brain and tumor-targeting efficiency of hydrophobic cisplatin prodrug-loaded lipid nanoparticles (C8Pt-Ls). Specifically, nanobodies (Nbs) with fibrinogen-binding capabilities were conjugated to the surface of C8Pt-Ls, resulting in the generation of Nb-C8Pt-Ls. Within the bloodstream, Nb-C8Pt-Ls could bound more fibrinogen, forming the protein corona that specifically interacted with LRP-1, a receptor highly expressed on the BBB. This interaction enabled a "Hitchhiking Effect" mechanism, facilitating efficient trans-BBB transport and promoting effective brain targeting. Additionally, the protein corona interacted with LRP-1, which is also overexpressed in glioma cells, achieving precise tumor targeting. Computational simulations and SPR detection clarified the molecular interaction mechanism of the Nb-fibrinogen-(LRP-1) complex, confirming its binding specificity and stability. Our results demonstrated that this strategy significantly enhanced C8Pt accumulation in brain tissues and tumors, induced apoptosis in glioma cells, and improved therapeutic efficacy. This study provides a novel framework for glioma therapy and underscores the potential of protein corona modulation-based dual-targeting strategies in advancing treatments for brain tumors.

Objective The mechanism of Huazhuo xingxue decoction(HZXXD)in the treatment of ischemic stroke was explored through network pharmacology,molecular docking and cell validation.Methods TCMSP,TCMID,BATMAN-TCM database and literature search were used to get the chemical components and related target proteins of Huazhuo Xingxue Decoction,and the targets of dementia,stroke and amnesia were obtained from Genecards database and OMIM database.The traditional Chinese medicine-active components-target-network and protein interaction map were constructed by using Cytoscape,and the target was enriched by KEGG pathway by David database.Western blot was used to investigate the effect of HZXXD on inflammation-related core targets expression using oxygen and glucose deprivation/reoxygenation cell model.Finally,Autodock was used for molecular docking of key active ingredients and important targets to evaluate their binding activity.Results 76 active molecules and 33 common targets of herb-disease were screened out.KEGG bioaccumulation results involve multiple inflammatory signal pathways such as TNF,chemical carcinogenesis-reactive oxygen species and HIF-1.TNF-α was found to be the core target of HZXXD by oxygen glucose deprivation/reoxygenation cell experiments.Five compounds with the strongest binding ability to TNF-α,kaempferol,apigenin,aloe-emodin,baicalein and stigasterol,were screened by traditional Chinese medicine-active ingredient-target network map and molecular docking.Conclusion Huazhuo Xingxue Decoction may down regulate the expression of core target TNF-α,kaempferol,apigenin,aloe emodin,baicalein and stigasterol may be the main active substances for TNF-α binding.

Objective:To analyze effect of miR-532-3p on macrophage polarization in rats with chronic kidney disease(CKD)through targeted inhibition of Notch1 signal pathway.Methods:A total of 75 SD rats were divided into control group,CKD group,ago-NC group,ago-miR-532-3p group and FLI-06 group,except for control group,CKD models were constructed and corresponding plas-mids and inhibitors were injected,control group and CKD group were replaced with same amount of normal saline.Serum creatinine(Scr),blood urea nitrogen(BUN),TNF-α,IL-1β and IL-10 were measured by ELISA,HE staining and Masson staining were used to observe renal tissue pathology and renal fibrosis in rats,flow cytometry was used to detect CD11c+and CD206+of macrophages,miR-532-3p expression in rat kidney tissue was detected by qRT-PCR,Notch1 protein was detected by Western blot;target binding of miR-532-3p to Notch1 was determined by double luciferase reporter gene.Results:Structure of glomerulus,renal tubules and epithelial cells was complete,cell boundaries were clear,and cells were arranged neatly in control group;glomerular epithelial cell necrosis,mesangial matrix,glomerulosclerosis,inflammatory cell infiltration and renal fibrosis were increased in CKD group;compared with CKD group,damage degree of glomerulus and tubules,inflammatory infiltration cells and renal fibrosis degree in ago-miR-532-3p group and FLI-06 group were reduced;compared with control group,serum Scr,BUN,TNF-α,IL-1β,proportion of CD11c+,CD11c+/CD206+and Notch1 protein expression in macrophages of renal tissue were increased,serum IL-10 level,CD206+and miR-532-3p in renal tissue were decreased(P<0.05);compared with CKD group,serum Scr,BUN,TNF-α,IL-1β,proportion of CD11c+,CD11c+/CD206+and Notch1 protein expression in macrophages of renal tissue in ago-miR-532-3p group and FLI-06 group were decreased,serum IL-10 level,CD206+and miR-532-3p in renal tissue were increased(P<0.05);miR-532-3p targeted Notch1,and overexpression of miR-532-3p inhibited Notch1 protein expression.Conclusion:Promoting expression of miR-532-3p protects kidney tissue of CKD rats by inhibiting Notch1 pathway,which may be due to regulating polarization of macrophages.