OBJECTIVE: To preliminarily investigate the effect of buccal acupuncture therapy on ameliorating postoperative pain and enhancing recovery quality among patients undergoing radical resection of gastrointestinal cancers. METHODS: Fifty-two participants were randomized at a 1:1 ratio to either the buccal acupuncture or the control group. The acupuncture protocol entailed targeting 5 predetermined acupoints [CA-2 (Upper jiao), CA-3 (Middle jiao), CA-4 (Lower jiao), CA-6 (back), and CA-7 (waist) and two adjustable acupoints [CA-1 (head) and CA-8 (sacrum)] on each side of the face. The outcomes included the Numeric Rating Scale (NRS) scores for each day within 7 days postoperatively, 15-Item Quality of Recovery Scale (QoR-15) scores, analgesics consumption during and after surgery, incidences of postoperative nausea and vomiting, and perioperative levels of interleukin-6 and glucose. Adverse events related to acupuncture were recorded. RESULTS: Of the initial 52 participants, 46 completed the study and were included in the analysis. Findings indicated that the buccal acupuncture group experienced significantly reduced resting NRS scores in post-anesthesia care unit and throughout the postoperative phase (P=0.001 and P=0.003, respectively), along with enhanced QoR-15 scores on the 3rd postoperative day (P=0.008), compared to the control group. No notable differences were identified in the remaining indicators (P>0.05). CONCLUSION Buccal acupuncture therapy demonstrated significant effectiveness in reducing postoperative pain and improving recovery quality for patients undergoing radical resection of gastrointestinal cancers, presenting a viable intervention without associated adverse outcomes. (Trial registration No. ChiCTR2200060441).
Humans ; Male ; Pilot Projects ; Female ; Acupuncture Therapy/methods* ; Pain, Postoperative/therapy* ; Middle Aged ; Gastrointestinal Neoplasms/surgery* ; Aged ; Acupuncture Points ; Adult

Diterpenoid ferruginol is a key intermediate in biosynthesis of active ingredients such as tanshinone and carnosic acid.However, the traditional process of obtaining ferruginol from plants is often cumbersome and inefficient. In recent years, the increasingly developing gene editing technology has been gradually applied to the heterologous production of natural products, but the production of ferruginol in microbe is still very low, which has become an obstacle to the efficient biosynthesis of downstream chemicals, such as tanshinone. In this study, miltiradiene was produced by integrating the shortened diterpene synthase fusion protein,and the key genes in the MVA pathway were overexpressed to improve the yield of miltiradiene. Under the shake flask fermentation condition, the yield of miltiradiene reached about(113. 12±17. 4)mg·L~(-1). Subsequently, this study integrated the ferruginol synthase Sm CYP76AH1 and Sm CPR1 to reconstruct the ferruginol pathway and thereby realized the heterologous synthesis of ferruginol in Saccharomyces cerevisiae. The study selected the best ferruginol synthase(Il CYP76AH46) from different plants and optimized the expression of pathway genes through redox partner engineering to increase the yield of ferruginol. By increasing the copy number of diterpene synthase, CYP450, and CPR, the yield of ferruginol reached(370. 39± 21. 65) mg·L~(-1) in the shake flask, which was increased by 21. 57-fold compared with that when the initial ferruginol strain JMLT05 was used. Finally, 1 083. 51 mg·L~(-1) ferruginol was obtained by fed-batch fermentation, which is the highest yield of ferruginol from biosynthesis so far. This study provides not only research ideas for other metabolic engineering but also a platform for the construction of cell factories for downstream products.
Saccharomyces cerevisiae/genetics* ; Diterpenes/metabolism* ; Metabolic Engineering ; Fermentation ; Abietanes

Objective: To study the effect of metformin sensitizing pancreatic cancer cells with radiotherapy, with a focus on elucidating the underlying mechanisms of radiotherapy resistance. In particular, the role of the PERK/P-eIF2/ATF4 signaling pathway in mediating these effects was preliminarily explored. Methods : Pancreatic cancer cell lines(PANC-1 and PANC-2) were categorized into control, radiotherapy, and drug treatment groups. Following the respective treatments, cell proliferation inhibition was assessed using the CCK-8 assay, colony formation assays, and cell death staining. Senescence was quantified by β-galactosidase(SA-β-Gal) staining. The expression of cell cycle regulators(P21, P16, γ-H2AX), apoptosis markers(Bax, Bcl-2, Cleaved caspase-3), and pathway-related proteins(PERK, P-eIF2, ATF4) was evaluated by Western blot and immunofluorescence. To further investigate the role of the PERK/P-eIF2/ATF4 axis in metformin-mediated modulation of pancreatic cancer cell senescence and radiosensitization, selective inhibitors(GSK2606414) and agonists(MK-28) of PERK were employed. Results : Radiotherapy markedly upregulated senescence-associated markers(P21, P16, γ-H2AX, and β-galactosidase activity) in pancreatic cancer cells. Senescent cells exhibited enhanced proliferative activity and increased tumor volume both in vitro and in vivo. Metformin mitigated radiotherapy-induced senescence by reducing the expression of senescence markers and significantly suppressing the clonogenic and proliferative capacity of treated cells. Mechanistically, radiotherapy activated the PERK signaling pathway, leading to increased expression of PERK, P-eIF2, and ATF4, thereby driving cellular senescence. Pharmacological inhibition of PERK reduced β-galactosidase activity, while PERK activation further promoted the expression of senescence-associated proteins—an effect that was reversed by metformin. Conclusion Metformin inhibits the activation of the PERK/P-eIF2/ATF4 signaling pathway in pancreatic cancer cells following radiotherapy, thereby delaying cellular senescence and reducing the associated radiotherapy resistance of senescent cells. This modulation contributes to the sensitization of pancreatic cancer cells to radiotherapy.

Objective: To investigate the protective effects and underlying mechanisms of sodium pyruvate (SP) on RBC storage lesions using an oxidative damage model. Methods: Six units of leukocyte-depleted suspended RBCs (discarded for non-infectious reasons within three days post-collection) were randomly assigned to four groups: negative control (NS), positive control (PS), experimental group 1 (SP1), and experimental group 2 (SP2). Oxidative stress was induced in the PS group by the addition of hydrogen peroxide (H O ), while SP1 and SP2 received SP supplementation at different concentrations (25 mM and 50 mM, respectively) in the presence of H O . After 1 hour of incubation, RBC morphology was assessed microscopically, and biochemical indicators including glutathione (GSH), malondialdehyde (MDA), methemoglobin (MetHb), adenosine triphosphate (ATP), and Na /K -ATPase activity were measured. Results: RBCs in the PS group exhibited pronounced morphological damage, including cell shrinkage and echinocyte formation, whereas both SP-treated groups showed significantly reduced structural injury. SP treatment led to elevated GSH levels and decreased concentrations of MDA and MetHb, suggesting attenuation of oxidative stress. Additionally, SP enhanced intracellular ATP levels and Na /K -ATPase activity, thereby contributing to membrane stability. Notably, the SP2 group (50 mM) demonstrated superior protective effects compared to SP1 (25 mM). Conclusion: Sodium pyruvate effectively attenuates oxidative storage lesions in RBCs, primarily through its antioxidant properties, energy metabolism supporting ability, and celluar membrane stabilizing function. These findings suggest SP as a promising additive for enhancing the quality and safety of stored RBCs.

Objective To develop a three-dimensional(3D)deep neural network based preoperative classification model for coronary computed tomography angiography(CTA)in atrial fibrillation patients,and to explore the effects of transfer learning on the performance of medical image classification models,thereby providing preoperative decision support for catheter ablation to advance atrial fibrillation treatment toward precision and personalization.Methods Utilizing 3D ConvNet and 3D ResNet as backbone network,the three-dimensional classification features were extracted from coronary CTA sequences.The publicly available pre-trained weights were used for transfer learning.The model performance was evaluated through metrics such as confusion matrix,classification accuracy,and area under the curve(AUC).A comparative analysis was also conducted to evaluate the performance differences between the transfer learning model and the initialized training model.Results Transfer learning yielded significant performance improvements over the initialized training models,attaining AUC improvement of 9.1%-16.7%and accuracy enhancement of 6.2%-23.5%.Among all models,3D-ResNet18 model with MedicalNet pre-training weights performed the best,achieving an AUC of 0.77 and an accuracy of 0.71.Conclusion The proposed three-dimensional deep network enhanced by transfer learning can effectively identify atrial fibrillation patients requiring additional ablation besides pulmonary vein isolation through preoperative coronary CTA,which will assist clinicians in optimizing surgical strategies and improving treatment outcomes,thereby reducing long-term postoperative recurrence rates.

Objective To develop a three-dimensional(3D)deep neural network based preoperative classification model for coronary computed tomography angiography(CTA)in atrial fibrillation patients,and to explore the effects of transfer learning on the performance of medical image classification models,thereby providing preoperative decision support for catheter ablation to advance atrial fibrillation treatment toward precision and personalization.Methods Utilizing 3D ConvNet and 3D ResNet as backbone network,the three-dimensional classification features were extracted from coronary CTA sequences.The publicly available pre-trained weights were used for transfer learning.The model performance was evaluated through metrics such as confusion matrix,classification accuracy,and area under the curve(AUC).A comparative analysis was also conducted to evaluate the performance differences between the transfer learning model and the initialized training model.Results Transfer learning yielded significant performance improvements over the initialized training models,attaining AUC improvement of 9.1%-16.7%and accuracy enhancement of 6.2%-23.5%.Among all models,3D-ResNet18 model with MedicalNet pre-training weights performed the best,achieving an AUC of 0.77 and an accuracy of 0.71.Conclusion The proposed three-dimensional deep network enhanced by transfer learning can effectively identify atrial fibrillation patients requiring additional ablation besides pulmonary vein isolation through preoperative coronary CTA,which will assist clinicians in optimizing surgical strategies and improving treatment outcomes,thereby reducing long-term postoperative recurrence rates.

The gene GeDRP1E encoding dynamin-related protein 1E in Gastrodia elata was cloned by specific primers which were designed based on the transcriptome data of G. elata. Bioinformatics analysis on GeDRP1E gene was carried out by using ExPASy, ClustalW, MEGA, etc. Positive transgenic Arabidopsis plant and potato minituber were obtained with the genetic transformation system of Arabidopsis and potato. The plant height and seed setting rate of transgenic Arabidopsis, and agronomic characters, such as size, weight and starch content of potato minituber of transgenic potato were tested and analyzed. And GeDRP1E gene function was preliminarily investigated. The results showed that the open reading frame of GeDRP1E gene was 1 899 bp in length and 632 amino acids residues were encoded, with a relative molecular weight of 69.90 kDa and a molecular formula of C₃₀₇₉H₄₉₇₃N₈₈₃O₉₃₃S₁₉. It was predicted that the theoretical isoelectric point was 7.27, the instability coefficient was 43.34, and the average hydrophilicity index was -0.259, which was indicative of an unstable hydrophilic protein. GeDRP1E has no transmembrane structure and signal peptide, and was localized in the cytoplasm. The phylogenetic tree showed that GeDRP1E was highly homologous with DRP1E proteins of other plant species, among which GeDRP1E had the highest homology with DcDRP1E (XP_020689662.1) in Dendrobium candidum, reaching 90.05%. GeDRP1E plant expression vector pCambia1300-35Spro-GeDRP1E was constructed by double digests, and Arabidopsis complementary mutant and potato overexpression strain of GeDRP1E gene were obtained by Agrobacterium-mediated gene transformation. Compared with the Arabidopsis AtDRP1E mutant, the height and seed setting rate of the GeDRP1E complementation mutant were rescued. The minituber of GeDRP1E overexpression potato had larger size, heavier weight and higher starch content, comparing to wild-type potato. It was preliminarily induced that GeDRP1E was involved in mitochondrial morphology regulation, which related to the growth and development of Arabidopsis plants and potato miniature. The research results laid a foundation for further elucidating the molecular mechanisms underlying the growth and development of G. elata tuber development.

Objective To investigate the predictive value of white blood cell-to-hematocrit ratio (WBCHR) for in-hospital major adverse cardiovascular events (MACE) after reperfusion therapy in patients with acute ST-segment elevation myocardial infarction (STEMI). Methods A case-control study was conducted to retrospectively select 319 patients with first-time diagnosis of STEMI who underwent percutaneous coronary intervention (PCI). Patients were divided into MACE group (69 cases) and non-MACE group (250 cases) based on the occurrence of MACE during hospitalization. Clinical data, including general information, laboratory test indicators, echocardiography, and coronary angiography results, were compared between the two groups. Univariate and multivariate Logistic regression analyses were performed to explore the risk factors for in-hospital MACE after reperfusion therapy in STEMI patients. Receiver operating characteristic (ROC) curve analysis was conducted to evaluate the predictive value of WBCHR for in-hospital MACE after reperfusion therapy in STEMI patients. Results The levels of fasting blood glucose, uric acid, creatinine, white blood cell count, neutrophil count, high-sensitivity C-reactive protein (hs-CRP), D-dimer, and WBCHR were significantly higher in the MACE group than in the non-MACE group, while red blood cell count, hemoglobin, hematocrit, and left ventricular ejection fraction were lower (P < 0.05). No significant differences were observed in age, gender, smoking history, hypertension history, diabetes history, door-to-wire (D2W) time, total cholesterol, triglycerides, and the number of diseased vessels between the two groups (P>0.05). Multivariate Logistic regression analysis revealed that elevated uric acid levels (OR=1.005; 95%CI, 1.002 to 1.009; P=0.004), decreased hemoglobin concentration (OR=0.964; 95%CI, 0.941 to 0.988; P=0.003), increased hs-CRP levels (OR=1.032; 95%CI, 1.009 to 1.056; P=0.007), and increased WBCHR (OR=1.455; 95%CI, 1.295 to 1.635; P < 0.001) were independent risk factors for in-hospital MACE after reperfusion therapy in STEMI patients. ROC curve analysis showed that the area under the curve of WBCHR for predicting in-hospital MACE after reperfusion therapy in STEMI patients was 0.855 (95%CI, 0.796 to 0.914, P < 0.001), with a sensitivity of 63.8% and a specificity of 99.6%. Conclusion WBCHR is an independent influencing factors of in-hospital MACE after reperfusion therapy in STEMI patients and has a high predictive value for in-hospital MACE in these patients.

Objective To establish an efficient method for isolating migrasomes from RAW264.7 macrophages and identifying these isolated migrasomes. Methods Scanning electron microscopy was used to observe the morphological characteristics of migrasomes produced by RAW264.7 cells. A 0.45 μm filter was employed for reverse filtration and elution to isolate the migrasomes. The morphological characteristics of the migrasomes were then observed using transmission electron microscopy. Western blot analysis was performed to determine the expression of characteristic markers of the migrasomes. The RNA carried by the migrasomes was analysed by using LabChip bioanalyzer. Results Scanning electron microscopy revealed that the migrasomes, with membranous structures, were attached to the tip or bifurcation of the retraction fiber formed in the tail of RAW264.7 cells. Transmission electron microscopy showed that the isolated migrasomes had a typical oval vesicle-like structure with wrinkled membrane surfaces. Western blot analysis confirmed the expression of the characteristic markers phosphatidylinositol glycan anchor biosynthesis class K (PIGK), epidermal growth factor domain-specific O-linked N-acetylglucosamine transferase (EOGT) and tetraspanin 4 (TSPAN4) in the migrasomes, while the EV (extracellular vesicle) markers tumor susceptibility gene 101 (TSG101) and Arabidopsis homolog of apoptosis-linked gene 2-interacting protein X (ALIX) were not detected. Furthermore, the isolated migrasomes were found to be rich in small RNA, which were approximately 25-200 nt in length. Conclusion A method for the extraction of well-structured and high quality migrasomes from macrophages is established.
Extracellular Vesicles ; Microscopy, Electron, Transmission ; RNA ; Macrophages

Flavonoids such as baohuoside I and icaritin are the major active compounds in Epimedii Folium(EF)and possess excellent therapeutic effects on various diseases.Encouragingly,in 2022,icaritin soft capsules were approved to reach the market for the treatment of hepatocellular carcinoma(HCC)by National Medical Products Administration(NMPA)of China.Moreover,recent studies demonstrate that icaritin can serve as immune-modulating agent to exert anti-tumor effects.Nonetheless,both production effi-ciency and clinical applications of epimedium flavonoids have been restrained because of their low content,poor bioavailability,and unfavorable in vivo delivery efficiency.Recently,various strategies,including enzyme engineering and nanotechnology,have been developed to increase productivity and activity,improve delivery efficiency,and enhance therapeutic effects of epimedium flavonoids.In this review,the structure-activity relationship of epimedium flavonoids is described.Then,enzymatic en-gineering strategies for increasing the productivity of highly active baohuoside I and icaritin are dis-cussed.The nanomedicines for overcoming in vivo delivery barriers and improving therapeutic effects of various diseases are summarized.Finally,the challenges and an outlook on clinical translation of epi-medium flavonoids are proposed.