As a distinctive resource of Chinese civilization， traditional Chinese medicine （TCM） technology transfer faces significant opportunities under the background of digital and intelligent transformation， while also being constrained by unique challenges such as the complexity of its theoretical system， lengthy industrial chains， and multidimensional policy restrictions， resulting in a "high-value-high-threshold" paradox. At present， TCM technology transfer is deeply trapped in a "threefold reluctance" dilemma， i.e.， unwillingness to transfer， inability to transfer， and lack of capacity to transfer. Specifically， the disconnection between scientific research evaluation systems and market demand leads to low conversion rates of research achievements， unclear ownership and compliance risks suppress innovation incentives， and the absence of professional services intensifies supply-demand mismatches. This article systematically analyzes the specific characteristics of TCM technology transfer and proposes a breakthrough pathway centered on full-chain digital and intelligent transformation. By integrating technologies such as intelligent sorting systems， blockchain-based traceability， and AI diagnostic models， the TCM ecosystem spanning "cultivation-production-service" can be reconstructed. In terms of standardization， promoting the progression from "experience-based data conversion" to "data standardization" and further to "intelligent standardization" is advocated to resolve quality control challenges. For example， a "three-no-one-full" certification system can strengthen quality trust. Policy coordination should focus on optimizing mechanisms for the transformation of scientific and technological achievements， while exploring intellectual property securitization and risk-sharing models to stimulate research momentum. In terms of internationalization， reliance on the Belt and Road Initiative platform to promote the export of geo-authentic medicinal material brands and standards is recommended to build a dual-driven model of "technology plus culture". Looking ahead， through the construction of national-level databases， the cultivation of interdisciplinary talent， and the mutual recognition of international standards， a new paradigm of "scientific intelligent manufacturing" can be formed， providing systematic solutions for the modernization of TCM and global health governance.

Diabetic nephropathy（DN） is a common and severe microvascular complication of diabetes. In recent years， the classical herbal formula Shenqi dihuang decoction has demonstrated unique advantages in the clinical treatment of DN. This article conducts a systematic review of the mechanisms of action and clinical applications of Shenqi dihuang decoction in the treatment of DN. It reveals that the mechanism by which this formula improves DN involves multi-target synergistic regulation. For instance, Shenqi dihuang decoction exerts multiple pharmacological effects by regulating signaling pathways including phosphatidy linostiol 3-kinase/protein kinase B， AMP-activated protein kinase/silent information regulator 1/forkhead box O1， and nuclear factor erythroid 2-related factor 2/heme oxygenase-1 pathways.These effects include regulating glucose and lipid metabolism， inhibiting oxidative stress， reducing inflammation， improving insulin resistance， modulating cell death （apoptosis/autophagy/ferroptosis/pyroptosis）， and preventing renal fibrosis. Existing clinical studies indicate that Shenqi dihuang decoction and its modified formulas， alone or in combination with other therapeutic methods， can significantly improve glucose and lipid metabolism， reduce proteinuria， and delay renal function decline in patients with DN. These effects are superior to those of Western medicines such as irbesartan， valsartan， and empagliflozin， and the treatment demonstrates good safety. Future research should leverage systems biology and artificial intelligence technologies to further elucidate the integrated mechanisms in the treatment of DN by Shenqi dihuang decoction， thereby advancing the precision and standardization of its clinical application.

Plant-derived extracellular vesicles (PDEVs) are nanoscale extracellular vesicles secreted by plant cells, characterized by a lipid bilayer structure. These vesicles carry a variety of bioactive molecules, including proteins, nucleic acids, and lipids, and play essential roles in intercellular communication and physiological regulation in plants. Compared to animal-derived extracellular vesicles, PDEVs offer several advantages, such as a broad range of sources, high biocompatibility, low immunogenicity, and low production costs. Furthermore, PDEVs have demonstrated remarkable potential as natural nanocarriers for drug delivery, due to their ability to efficiently traverse biological barriers, such as the blood-brain barrier, making them promising candidates for drug delivery systems. This review systematically elaborates on the complex composition of PDEVs, which consists of lipids, proteins, and nucleic acids, the typical structural characteristics of their lipid bilayers ranging from 30 to 150 nm, and their versatile loading capabilities as drug carriers, efficiently encapsulating various types of therapeutic agents such as hydrophilic small molecules, hydrophobic drugs, nucleic acids, and proteins. We systematically summarize the recent advancements in strategies for enhancing the loading efficiency of PDEVs, which include methods such as co-incubation, ultrasound-assisted loading, electroporation, freeze-thaw cycles, and microfluidic technology. These techniques are evaluated based on their underlying principles, suitable drug types, and their respective advantages. In addition to loading strategies, we focus on the engineered approaches to achieve targeted delivery using PDEVs, such as genetic engineering modifications, chemical ligand conjugation, membrane fusion technology, and polyethylene glycol (PEG) modification. We discuss the mechanisms of these strategies in enhancing targeting efficiency, prolonging in vivo circulation time, and improving therapeutic efficacy. Further, this review highlights the application of PDEVs in various disease models, including tumor, skin inflammation, metabolic disorders, and neurodegenerative diseases, showcasing their therapeutic potential as multifunctional delivery platforms. The ability of PDEVs to encapsulate diverse therapeutic agents and target specific tissues or cells opens up new avenues for the treatment of complex diseases, offering advantages over conventional drug delivery systems. However, despite the promising applications of PDEVs, several challenges remain in their development and clinical translation. These challenges include variability in source materials, standardization of preparation processes, quality control, scalability of production, and the need for clinical validation. To overcome these obstacles, the integration of advanced technologies such as artificial intelligence-assisted design and multi-omics analysis is proposed as a way to facilitate the precise development of PDEVs. These emerging technologies hold the potential to further enhance the precision and effectiveness of plant-based drug delivery systems, ultimately advancing the field of precision medicine. In conclusion, the use of PDEVs as a platform for drug delivery represents a promising area of research with the potential to revolutionize therapeutic strategies. Their ability to encapsulate and deliver a wide variety of bioactive molecules, along with their inherent advantages in biocompatibility and versatility, makes them a valuable tool in the development of more efficient and targeted therapeutic interventions. Continued research and innovation in this field will pave the way for the clinical implementation of PDEVs in the treatment of various diseases, offering new hope for more effective and sustainable therapeutic options.

ObjectiveTo investigate the antiviral efficacy of pegylated interferon α-2b （PEG-IFN-α-2b） in patients with HBV-related liver cirrhosis， to assess the safety and tolerability of this regimen， and to provide evidence-based medical evidence for optimizing the treatment strategies for patients with HBV-related compensated liver cirrhosis. MethodsA prospective study was conducted among 115 patients with HBV-related compensated liver cirrhosis and 114 patients with CHB who attended Third People’s Hospital of Taiyuan from January 2023 to March 2024. Treatment-naïve patients received PEG-IFN-α-2b monotherapy， while the patients once treated with nucleos（t）ide analogues （NAs） received PEG-IFN-α-2b add-on therapy. The patients with HBV-related compensated liver cirrhosis were followed up at baseline and at 12， 24， 36， and 48 weeks of treatment. Samples were collected from CHB patients at baseline and at the end of follow-up to assess virological indicators， routine blood test results， and liver function. The chi-square test was used for comparison of categorical data between groups； the independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the one-way repeated measures analysis of variance was used for comparison among different time ponts within the same group，and the Bonferroni was applied for post-hoc pairwise comparisons； the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups， and the Friedman test was used for comparison across different time points within the same group， and the Nemenyi test was utilized for subsequent pairwise comparisons. The multivariate stepwise Logistic regression analysis was used to investigate the influencing factors for clinical cure. ResultsCompared with the CHB group， the HBV-related compensated liver cirrhosis group had a significantly higher mean age （43.50±9.97 years vs 40.90±8.16 years， t=2.160， P=0.032）， a significantly higher proportion of patients with hepatitis B e antigen at baseline （28.70% vs 15.79%， χ²=4.788， P=0.029）， and a significantly lower platelet level ［（178.67±55.07）×10⁹/L vs （194.93±55.79）×10⁹/L， t=2.217， P=0.028］. Compared with the CHB group at the end of follow-up， the HBV-related compensated liver cirrhosis group had significantly lower HBV surface antigen （HBsAg） clearance rate （10.38% vs 33.04%， χ²=14.988， P<0.001） and HBV surface antibody positive rate （0.00% vs 19.64%， χ²=21.041， P<0.001）. Compared with the CHB group at the end of follow-up，the HBV-related compensated liver cirrhosis group had significantly lower aminotransferase levels ［ALT： 31.00（19.00～47.50） U/L vs 40.00（27.00～57.00） U/L， Z=2.433， P<0.05； AST： 31.00（23.00～45.50） U/L vs 37.00（25.00～52.00） U/L， Z=1.963， P<0.05］， but significantly higher level of white blood cells （WBC） ［（4.02±1.56）×10⁹/L vs （3.59±1.24）×10⁹/L， t=2.272， P<0.05］， neutrophils ［（2.39±1.17）×10⁹/L vs （1.87±0.94）×10⁹/L， t=3.284， P<0.05］， and platelets ［（143.93±68.10）×10⁹/L vs （121.88±49.72）×10⁹/L， t=2.588， P<0.05］. A lower level of HBsAg （OR=0.997， 95%CI： 0.996　—　0.999， P<0.001） and previous treatment with NAs （OR=5.889， 95%CI： 2.195　—　17.330， P<0.001） were positive predictive factors for clinical cure， while liver cirrhosis （OR=0.177， 95%CI： 0.063　—　0.470， P<0.001） was a negative predictive factor for clinical cure. During follow-up， no patients experienced acute decompensation or progression to hepatocellular carcinoma， and the main adverse events included fever， fatigue， reductions in WBC and platelets， weight loss， alopecia， and thyroid dysfunction. In the subgroup analysis of HBV-related compensated liver cirrhosis， in both the treatment-naïve patients and the patients previously treated with NAs， there was a significant reduction in HBsAg level from baseline to week 36 of treatment ［treatment-naïve： 99.25 （5.87　—　1 212.35） IU/mL vs 403.47 （36.94　—　2 569.02） IU/mL， P<0.05； previously treated with NAs： 205.94 （14.00　—　737.80） IU/mL vs 427.03 （65.64　—　1 552.65） IU/mL， P<0.05］ and week 48 of treatment ［treatment-naïve： 85.45 （0.58　—　827.56） IU/mL vs 403.47 （36.94　—　2 569.02） IU/mL， P<0.05； previously treated with NAs： 45.28 （0.16　—　267.27） IU/mL vs 427.03 （65.64　—　1 552.65） IU/mL， P<0.05］. There were significant increases in the levels of aminotransferases during treatment， as well as significant reductions in the levels of WBC， neutrophils， platelets， and hemoglobin （all P<0.05）. ConclusionAlthough a finite course of PEG-IFN-α-2b therapy has achieved a relatively low rate of clinical cure in the treatment of HBV-related compensated liver cirrhosis， it can still significantly reduce the level of HBsAg， and this treatment regimen has good safety and tolerability， without accelerating disease progression.

Colorectal cancer (CRC) is characterized by persistently high incidence and mortality. Current therapies are limited by drug resistance and modest patient benefit, underscoring the urgent need for new perspectives rooted in tumor biology. The unique metabolic landscape of CRC makes it an ideal model in which to dissect the pathological roles of lactylation regulatory networks: microsatellite-stable (MSS) CRC, which accounts for approximately 85% of cases, concurrently upregulates glycolysis and oxidative phosphorylation, engaging in intense metabolic competition with immune cells; the intratumoral lactate pool exhibits a distinctive “dual-source supply” feature—in addition to tumor-intrinsic glycolysis, substantial exogenous lactate is provided by gut microbiota dysbiosis and by colonizing bacteria within liver metastases; high-frequency oncogenic mutations and lactylation modifications establish a feed-forward circuit of “oncogene-driven lactate accumulation-lactylation-facilitated tumor progression”. Moreover, MSS CRC displays near-complete unresponsiveness to immune checkpoint inhibitors, a phenomenon underpinned by multiple immune evasion mechanisms mediated by lactate and lactylation. Lactate metabolism is a hallmark of metabolic reprogramming in cancer. Lactate homeostasis provides tumor cells with metabolic substrates, modulates redox status, and regulates fatty acid metabolism to promote malignant progression. Notably, lactate can drive lactylation—an emerging post-translational modification (PTM) in which lactyl groups are attached to lysine residues, dynamically governing gene transcription and protein function and thereby establishing a bridge between metabolism and epigenetics. Lactate and lactylation form a multidimensional, coordinated network: lactylation of key metabolic enzymes such as LDHA reinforces a positive feedback loop that sustains lactate production; lactylation of upstream transcription factors such as HIF-1α drives metabolic reprogramming; furthermore, lactylation engages in crosstalk with m6A and m5C RNA modifications as well as with other PTMs such as acetylation, profoundly reshaping cellular behavior. In CRC, histone lactylation drives malignant phenotypes by activating immunosuppressive programs, inhibiting ferroptosis, and promoting invasion and migration; non-histone lactylation accelerates translation elongation, stabilizes β‑catenin, maintains redox homeostasis, and prevents PD-L1 degradation, thereby facilitating tumor progression. Lactylation-related gene signatures have demonstrated potential for prognostic stratification. Therapeutic strategies targeting the lactylation network range from upstream metabolic intervention to modulation of the modifying enzymes and direct blockade of lactylation modifications, forming a hierarchical interventional framework. However, current evidence derives predominantly from cell lines and xenograft models, and a causal relationship between lactylation and malignant progression in CRC has yet to be rigorously established. Whether inhibition of lactylation can alter CRC phenotypes independently of metabolic alterations and acetylation fluctuations remains a central unanswered question in the field. This review systematically examines the research progress and translational challenges surrounding lactylation regulatory networks, aiming to provide a circumspect assessment to inform the development of novel therapeutic strategies for CRC.

Objective To investigate the general characteristics and treatment processes of patients with advanced esophageal cancer (EC) treated in county- or prefecture-level hospitals in high-incidence areas of EC in China. Methods In this retrospective observational study, electronic medical records of patients with advanced EC were collected from six medical centers in high-incidence areas. Eligible patients had advanced EC and whose first medical contact was documented between January 1, 2022, and June 1, 2024. Descriptive statistical analyses were conducted to evaluate patient characteristics and treatment plans. Results A total of 322 EC patients were included, of whom 230 were male (71.4%). The median age was 69 years. Among the 270 patients with available tumor diagnosis information, 264 patients (97.8%) presented with EC-specific symptoms. Of the 281 patients with pathological data, esophageal squamous cell carcinoma was the predominant type, accounting for 254 cases (90.4%). Among 235 patients with information on the initial diagnostic method, 220 (93.6%) were diagnosed through endoscopy. A total of 216 patients (67.1%) with advanced disease progressed from early or locally advanced stages. Surgical treatment was performed in 126 patients (39.1%), of whom 123 (97.6%) achieved R0 resection, and 71 (56.3%) of them received perioperative treatment. Definitive chemoradiotherapy was administered to 116 patients (36.0%). The median disease-free survival for patients undergoing radical surgery was 13.9 months, while that for patients treated with definitive chemoradiotherapy was 10.6 months. At the advanced stage, lymph node metastasis was observed in 250 patients (77.6%), with mediastinal lymph node metastasis being the most common type. Organ metastasis occurred in 176 patients (54.7%), most frequently involving the lungs, liver, and bones. Most patients (79.8%, 229/287) were from the county or city where the hospoital was loacted, 77.9% (232/298) were covered by resident basic medical insurance, and 88.7% (274/309) of patients initiated advanced treatment at the participating hospitals. Conclusion This study reveals the unique epidemiological, clinical, and pathological characteristics of patients with EC in high-incidence areas of China. The results provide an important reference for further exploration of this disease and its management.

ObjectiveColorectal cancer (CRC) is a highly heterogeneous malignancy, and traditional Chinese medicine (TCM) syndrome differentiation is widely used in its clinical management. However, the biological basis underlying different TCM syndromes remains insufficiently understood. This study aimed to investigate the proteomic differences between qi-blood deficiency syndrome (QBDS) and damp-heat syndrome (DHS) in CRC patients and to establish a “syndrome-differential protein-herbal component” network for exploring potential molecular mechanisms and therapeutic targets associated with syndrome-specific treatment strategies. MethodsTumor tissue samples were collected from 10 patients with pathologically confirmed CRC, including 5 patients diagnosed with QBDS and 5 with DHS according to standardized TCM syndrome differentiation criteria. Tandem mass tag (TMT)-based quantitative proteomics was employed to identify differentially expressed proteins (DEPs) between the two syndrome groups. Functional enrichment analyses, including Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, were performed to characterize the biological functions and signaling pathways associated with the identified DEPs. Least absolute shrinkage and selection operator (LASSO) regression analysis was further applied to screen key syndrome-related proteins and construct a core protein prediction model. Subsequently, molecular docking was conducted to evaluate the binding affinities between representative herbal compounds, astragaloside IV and berberine, and the identified core proteins. Finally, cell counting kit-8 (CCK-8) assays were performed in HCT 116 and HT-29 colorectal cancer cell lines to validate the anti-proliferative activities of these compounds in vitro. ResultsA total of 44 DEPs were identified between QBDS and DHS tissues, including 21 upregulated and 23 downregulated proteins in the QBDS group relative to the DHS group. Functional enrichment analyses revealed that these proteins were primarily associated with antiviral immune responses, regulation of inflammatory signaling, NF‑κB signaling pathways, cholesterol metabolism, and other biological processes relevant to tumor progression and host immune regulation. LASSO regression analysis identified eight core proteins with potential syndrome-specific significance. Among them, ST7, GPCPD1, and PODXL were closely associated with QBDS, whereas FAT1, GRB7, KRT7, MAFF, and MMP8 were associated with DHS. Molecular docking demonstrated favorable interactions between astragaloside IV and QBDS-related proteins, with binding energies lower than -5 kcal/mol, indicating stable binding activity. Berberine exhibited even lower binding energies and stronger binding specificity toward DHS-related core proteins. In vitro experiments further confirmed that both compounds inhibited CRC cell proliferation, while berberine displayed significantly greater anti-proliferative efficacy. The lowest 48 h IC₅₀ value of berberine reached 15.21 mg/L in CRC cells, indicating a stronger growth-inhibitory effect than astragaloside IV. ConclusionCRC patients with QBDS and DHS exhibit distinct proteomic characteristics, suggesting that different TCM syndromes possess unique molecular signatures. The identified core proteins may serve as potential biomarkers for syndrome differentiation, while astragaloside IV and berberine may exert therapeutic effects through targeting syndrome-specific molecular networks. These findings provide preliminary proteomic evidence supporting syndrome-guided precision integrative medicine in CRC and offer new insights into the biological basis of TCM syndrome differentiation and individualized therapeutic strategies.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Clinical practice guidelines represent the best recommendations for patient care. They are developed through systematically reviewing currently available clinical evidence and weighing the relative benefits and risks of various interventions. However, clinical practice guidelines have to go through a long translation cycle from development and revision to clinical promotion and application, facing problems such as scattered distribution, high duplication rate, and low actual utilization. At present, the clinical practice guideline information platform can directly or indirectly solve the problems related to the lengthy revision cycles, decentralized dissemination and limited application of clinical practice guidelines. Therefore, this paper systematically examines different types of clinical practice guideline information platforms and investigates their corresponding challenges and emerging trends in platform design, data integration, and practical implementation, with the aim of clarifying the current status of this field and providing valuable reference for future research on clinical practice guideline information platforms.

Objective To explore the relationship between PANoptosis and hepatic ischemia-reperfusion injury (HIRI), and to screen the key genes of PANoptosis in HIRI. Methods PANoptosis-related differentially expressed genes (PDG) were obtained through the Gene Expression Omnibus database and GeneCards database. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were used to explore the biological pathways related to PDG. A protein-protein interaction network was constructed. Key genes were selected, and their diagnostic value was assessed and validated in the HIRI mice. Immune cell infiltration analysis was performed based on the cell-type identification by estimating relative subsets of RNA transcripts. Results A total of 16 PDG were identified. GO analysis showed that PDG were closely related to cellular metabolism. KEGG analysis indicated that PDG were mainly enriched in cellular death pathways such as apoptosis and immune-related signaling pathways such as the tumor necrosis factor signaling pathway. GSEA results showed that key genes were mainly enriched in immune-related signaling pathways such as the mitogen-activated protein kinase (MAPK) signaling pathway. Two key genes, DFFB and TNFSF10, were identified with high accuracy in diagnosing HIRI, with areas under the curve of 0.964 and 1.000, respectively. Immune infiltration analysis showed that the control group had more infiltration of resting natural killer cells, M2 macrophages, etc., while the HIRI group had more infiltration of M0 macrophages, neutrophils, and naive B cells. Real-time quantitative polymerase chain reaction results showed that compared with the Sham group, the relative expression of DFFB messenger RNA in liver tissue of HIRI group mice increased, and the relative expression of TNFSF10 messenger RNA decreased. Cibersort analysis showed that the infiltration abundance of naive B cells was positively correlated with DFFB expression (r=0.70, P=0.035), and the infiltration abundance of M2 macrophages was positively correlated with TNFSF10 expression (r=0.68, P=0.045). Conclusions PANoptosis-related genes DFFB and TNFSF10 may be potential biomarkers and therapeutic targets for HIRI.