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 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 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.

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.

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.

Objective:To understand the prevalence and related factors of three common chronic diseases, hyperlipidemia, hypertension and diabetes in HIV-infected persons.Methods:As of December 2023, HIV-infected persons >15 years old who are receiving antiviral therapy (ART) and follow-up in Henan Province were selected as the study objects. Questionnaires, physical examinations, and blood samples were collected to collect demographic information, ART, body weight, blood lipids, blood pressure, and blood sugar of HIV-infected persons. The logistic regression model was used to analyze the related factors of hyperlipidemia, hypertension and diabetes.Results:Among 4 023 HIV-infected patients, the prevalence rates of hyperlipidemia, hypertension, and diabetes were 64.47% (2 594/4 023), 16.80% (676/4 023), and 10.54% (424/4 023), respectively. Multivariate analysis showed that hyperlipidemia was positively associated with ≥40 years of age, overweight and obesity, two nucleoside reverse transcriptase inhibitors (NRTIs) + proteasome inhibitors (PIs) regimen and two NRTIs+ integrase inhibitor regimen, and negatively associated with low body weight. Hypertension was positively correlated with the age group ≥40 years old, family history of cardiovascular and cerebrovascular diseases, overweight and obesity, ART time ≥0.5 years, and negatively correlated with low body weight. Diabetes was positively associated with age group ≥40 years, family history of cardiovascular and cerebrovascular disease, overweight and obesity, and negatively associated with the use of two NRTIs+PIs treatment regimens.Conclusions:In 2023, the prevalence of hyperlipidemia, hypertension, and diabetes among HIV-infected people in Henan Province was relatively high, and the risk of common chronic diseases among those ≥40 years old, overweight and obese, and those with a family history of cardiovascular and cerebrovascular diseases was also relatively high. It is recommended to strengthen the prevention and management of common chronic diseases among HIV-infected people.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.