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.

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.

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:An integrated automatic quality control system(automatic quality control instrument)for high dose rate(HDR)afterloader was independently developed.This system was used to measure the placement accuracy,residence time and activity of the radioactive source,so as to assess the accuracy and stability of this system in quality assurance.Methods:The automatic quality control system was connected to the Flexitron type of HDR afterloader through a connecting tube.Quality assurance(QA)plans with different resident positions,clearances,and times were designed for measurement and verification.The measurement length was 1079-1119 mm,and the measurement time was 2-10 s,and the measurement activity was 14,326-28,653 μGy·m2·h-1.The measurements were repeated once per one week in three months,so as to determine the consistency of the measurement parameters in a longer period of time.The measurement results of the placement accuracy,resident time and activity of radioactive source of the HDR 192Ir radioactive source were analyzed.Results:The plate ionization chamber was used to measure the activity of radioactive source.In three months,the measurement deviation of the activity of radioactive source was 1.17%,and the fitted activity decay curve was consistent with the expected decay curve of radioactive source.The measurement accuracies of the positioning of radioactive source were respectively 0.46,0.18,0.23,0.25,and 0.15 mm when the interval step sizes of resident times were respectively 2,3,5,8,and 10 mm,all of them were<1 mm.The measurement accuracy of time was(4.90±0.04)s when the resident time was 5 s.In the measurement accuracy of different resident times(1,2,3,5 and 10s)of same step size,the deviation of them was less than 0.5s.When the resident time was the shortest,the deviation between the read-out value of the automatic system software of quality control and the actually resident time was(0.09±0.04)s.The measurement accuracy gradually stabilized with the increasing of resident times.Conclusion:The automatic quality control instrument can complete the measurements for the positioning accuracy,the accuracy of resident time and the activity of radioactive source,and achieve rapidly and accurately periodic quality assurance.

Objective:To investigate the effects and underlying mechanisms of silent information regulator 1(SIRT1)on the dysfunction of umbilical vein endothelial cells(HUVECs)induced by oxidized low-density lipoprotein(ox-LDL).Methods:The impact of ox-LDL on the viability of HUVEC was assessed using the Cell Counting Kit-8(CCK-8)assay, which also facilitated the determination of the optimal ox-LDL concentration.Subsequent to ox-LDL treatment, several parameters were evaluated, including reactive oxygen species(ROS)production, apoptosis, migration, and angiogenesis, utilizing a ROS detection kit, flow cytometry, a Transwell migration assay, and an angiogenesis assay, respectively.The expression levels of apoptosis-related proteins, namely cleaved caspase-3(c-caspase-3), Bcl-2-associated X protein(Bax), B-cell lymphoma-2(Bcl-2), SIRT1, and peroxisome proliferator-activated receptor γ coactivator-1α(PGC-1α), were quantified using Western blot analysis.Adenoviral vectors were employed to either overexpress or silence SIRT1, while the ROS inhibitor N-acetylcysteine(NAC)was applied to assess its effects on cell function.Additionally, PGC-1α acetylation(Ac-Lys)was investigated through co-immunoprecipitation.Results:In the oxidative model of ox-LDL-stimulated HUVECs, compared to controls, we observed a significant increase in ROS-positive cells(35.9±3.1 vs.5.4±0.9), heightened apoptosis(16.3±0.9 vs.7.6±0.7), diminished endothelial cell migration capacity, and reduced angiogenic capacity.Additionally, there was an elevation in the pro-apoptotic protein c-caspase3 and Bax, alongside a decrease in the anti-apoptotic protein bcl-2.Furthermore, SIRT1 expression was increased, as was the expression of PGC-1α.In comparison to the GFP group(28.5±1.9), the reduction in SIRT1 expression resulted in an increase in apoptosis(37.0±1.9).Conversely, overexpression of SIRT1 mitigated ox-LDL-induced apoptosis(25.2±1.6)(all P<0.05).Notably, the expression levels of PGC-1α and SIRT1 exhibited consistent changes: PGC-1α expression increased with SIRT1 overexpression and decreased when SIRT1 expression was reduced(both P<0.05).The administration of NAC to the ox-LDL-treated group led to a reduction in ROS production( t=11.18, P<0.01)and a significant enhancement in cell function.Immunoprecipitation results indicated that SIRT1 overexpression decreased ox-LDL-induced PGC-1α acetylation( t=18.18, P<0.01), whereas silencing of SIRT1 further increased PGC-1α acetylation levels( t=-19.09, P<0.01). Conclusions:SIRT1 is shown to protect against ox-LDL-induced apoptosis and dysfunction in HUVECs by deacetylating and activating PGC-1α, thereby highlighting its therapeutic potential in the context of endothelial cell injury.

Objective To explore the shared mechanisms of genes related to three common chronic diseases non-alcoholic fatty liver disease(NAFLD),type 2 diabetes mellitus(T2DM)and atherosclerosis(AS)with ageing as well as potential therapeutic agents by using bioinformatics analysis,machine learning algorithms and molecular docking methods and techniques.Methods Ageing-related genes were collected and organized from AgeingAtlas,CellAge,GenAge,and MSigDB databases.After taking the intersection of genes related to NAFLD,T2DM and AS obtained from databases such as CTD,DisGeNET,GeneCards,OMIM,PharmGKB,and TTD and the gene sets obtained based on the GEO differential gene analysis,we obtained the set of related disease genes for these three common chronic diseases.The KEGG pathway enrichment analysis was performed on the ageing gene set and the three disease-related gene sets using the clusterProfiler package,and the intersection was taken.The enriched genes in the KEGG pathway were merged and imported into the STRING database;the PPI network was constructed.We analyzed the core sub-modules in the PPI network using the MCODE tool and calculated the essential values of Nim and Cim for each node and module.Meanwhile,three machine learning models were used to screen the feature genes:the Lasso regression model,the Boruta algorithm,and the random forest model.The HIT2.0 database was utilized to find the targeted TCM small molecules related to the key feature genes.Small molecules were evaluated and analyzed by ADMET using SwissADME and ADMETlab 3.0 online system.The molecular docking method was utilized to dock the key action targets and screen small molecules.Results A total of 1 325,616,78,and 597 genes related to ageing,NAFLD,T2DM,and AS were obtained.The KEGG pathway enrichment analysis results for ageing and the three diseases were taken to intersect to get two shared intersecting pathways containing 243 genes.The PPI network was constructed,and Cluster 2 had the highest Cim value among the three core submodules.According to the results of signature gene screening,combined with PPI network module analysis results,four signature genes related to ageing were found:CDK6,CDKN1A,MYC,and PTEN.These four targets have 94 potential TCM small molecule candidates,among which resveratrol(RSV)is a TCM small molecule common to these four targets.The ADMET evaluation showed that it had good drug-forming properties.The PTEN target had a high Nim value,and molecular docking of RSV with PTEN showed good binding stability.Conclusion A potential herbal small molecule,RSV,was identified from the perspective of ageing,which may prevent and treat three common chronic diseases,namely,NAFLD,T2DM and AS,by regulating the key gene PTEN.

OBJECTIVE To study the improvement effects and mechanism of proanthocyanidins （PACs） on steroid-induced osteonecrosis of the femoral head （SONFH） in rabbits based on the receptor-interacting protein kinase 1 （RIPK1）/RIPK3/mixed lineage kinase domain-like protein （MLKL） signaling pathway. METHODS SONFH model in rabbits was induced by injecting Escherichia coli endotoxin+methylprednisolone. The successfully modeled rabbits were randomly divided into Model group （normal saline）， low-dose PACs group （PACs-L group， 11 mg/kg）， high-dose PACs group （PACs-H group， 22 mg/kg）， high-dose PACs+ RIPK1 activator （rRIPK1） group （PACs-H+rRIPK1 group， 22 mg/kg PACs+4 μg/kg rRIPK1）， along with a control group （normal saline）， with 6 rabbits in each group. Each administration group was given relevant medicine once a day intragastrically/via injection， for 4 consecutive weeks. After the last administration， the levels of tumor necrosis factor-α （TNF-α） and interleukin-6 （IL-6） in rabbit serum were measured. The changes in the microstructure of rabbit femurs， including bone mineral density （BMD）， trabecular thickness （Tb.Th）， trabecular number （Tb.N）， and trabecular separation （Tb. Sp） were examined. The histopathological features of rabbit femoral tissues were observed， and the apoptotic status of cells within the rabbit femoral tissues was detected. The mRNA expressions of vascular endothelial growth factor （VEGF） and bone morphogenetic protein 2 （BMP2） in rabbit femoral tissues were determined. The expressions of RIPK1/RIPK3/MLKL signaling pathway-related proteins in femoral tissues were detected. RESULTS Compared with the Control group， serum contents of TNF-α and IL-6， Tb.Sp， empty bone cavity rate， cell apoptosis rate， phosphorylation levels of RIPK1， RIPK3 and MLKL in femoral tissue were significantly increased in the Model group （P＜0.05）. BMD， Tb.Th， Tb.N， as well as the mRNA expression of VEGF and BMP2， along with protein expression of caspase-8， in the femoral tissues were all decreased （P＜0.05）. The bone cells in the femoral tissue were unevenly distributed， and the trabeculae were arranged sparsely. Compared with the Model group， the aforementioned quantitative indicators （P＜0.05） and pathological changes in all dosage groups of PACs showed significant improvements. Compared with the PACs-H group， the aforementioned quantitative indicators （P＜0.05） and pathological changes in the PACs-H+rRIPK1 group showed significant reversal. CONCLUSIONS PACs can ameliorate SONFH in rabbits， and its mechanism of action may be related to the inhibition of the activation of the RIPK1/RIPK3/MLKL signaling pathway， suppression of apoptosis in femoral tissue cells， and promotion of angiogenesis.

Microalgae possess high photosynthetic efficiency, robust adaptability, and substantial biomass, serving as excellent biological resources for large-scale cultivation. Malic enzyme (ME), a ubiquitous metabolic enzyme in living organisms, catalyzes the decarboxylation of malate to produce pyruvate, CO₂, and NAD(P)H, playing a role in multiple metabolic pathways including energy metabolism, photosynthesis, respiration, and biosynthesis. In this study, we identified the Scenedesmus quadricauda malic enzyme gene (SqME) and its biological functions, aiming to provide excellent target genes for the genetic improvement of higher plants. Based on the RNA-seq data from S. quadricauda under the biofilm cultivation mode with high CO₂ and light energy transfer efficiency and small water use, a highly expressed gene (SqME) functionally annotated as ME was cloned. The physicochemical properties of the SqME-encoded protein were systematically analyzed by bioinformatics tools. The subcellular localization of SqME was determined via transient transformation in Nicotiana benthamiana leaves. The biological functions of SqME were identified via genetic transformation in Nicotiana tabacum, and the potential of SqME in the genetic improvement of higher plants was evaluated. The ORF of SqME was 1 770 bp, encoding 590 amino acid residues, and the encoded protein was located in chloroplasts. SqME was a NADP-ME, with the typical structural characteristics of ME. The ME activity in the transgenic N. tabacum plant was 1.8 folds of that in the wild-type control. Heterologous expression of SqME increased the content of chlorophyll a, chlorophyll b, and total chlorophyll by 20.9%, 26.9%, and 25.2%, respectively, compared with the control. The transgenic tobacco leaves showed an increase of 54.0% in the fluorescence parameter NPQ and a decrease of 30.1% in Fo compared with the control. Moreover, the biomass, total lipids, and soluble sugars in the transgenic tobacco leaves enhanced by 20.5%, 25.7%, and 9.5%, respectively. On the contrary, the starch and protein content in the transgenic tobacco leaves decreased by 22.4% and 12.2%, respectively. Collectively, the SqME-encoded protein exhibited a strong enzymatic activity. Heterologous expressing of SqME could significantly enhance photosynthetic protection, photosynthesis, and biomass accumulation in the host. Additionally, SqME can facilitate carbon metabolism remodeling in the host, driving more carbon flux towards lipid synthesis. Therefore, SqME can be applied in the genetic improvement of higher plants for enhancing photosynthetic carbon fixation and lipid accumulation. These findings provide scientific references for mining of functional genes from S. quadricauda and application of these genes in the genetic engineering of higher plants.
Nicotiana/genetics* ; Photosynthesis/physiology* ; Malate Dehydrogenase/biosynthesis* ; Plant Leaves/genetics* ; Scenedesmus/enzymology* ; Carbon Cycle/genetics* ; Lipid Metabolism/genetics* ; Plants, Genetically Modified/metabolism*

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.