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 explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

OBJECTIVE: To determine the role of Tripterygium wilfordii multiglycoside (TGW) in the treatment of psoriatic dermatitis from a cellular immunological perspective. METHODS: Mouse models of psoriatic dermatitis were established by imiquimod (IMQ). Twelve male BALB/c mice were assigned to IMQ or IMQ₊TGW groups according to a random number table. Histopathological changes in vivo were assessed by hematoxylin and eosin staining. Ratios of immune cells and cytokines in mice, as well as PAM212 cell proliferation in vitro were assessed by flow cytometry. Pro-inflammatory cytokine expression was determined using reverse transcription quantitative polymerase chain reaction. RESULTS: TGW significantly ameliorated the severity of IMQ-induced psoriasis-like mouse skin lesions and restrained the activation of CD45⁺ cells, neutrophils and T lymphocytes (all P<0.01). Moreover, TGW significantly attenuated keratinocytes (KCs) proliferation and downregulated the mRNA levels of inflammatory cytokines including interleukin (IL)-17A, IL-23, tumor necrosis factor α, and chemokine (C-X-C motif) ligand 1 (P<0.01 or P<0.05). Furthermore, it reduced the number of γ δ T17 cells in skin lesion of mice and draining lymph nodes (P<0.01). CONCLUSIONS TGW improved psoriasis-like inflammation by inhibiting KCs proliferation, as well as the associated immune cells and cytokine expression. It inhibited IL-17 secretion from γ δ T cells, which improved the immune-inflammatory microenvironment of psoriasis.
Male ; Animals ; Mice ; Tripterygium ; Psoriasis/drug therapy* ; Keratinocytes ; Skin Diseases/metabolism* ; Cytokines/metabolism* ; Imiquimod/metabolism* ; Dermatitis/pathology* ; Disease Models, Animal ; Mice, Inbred BALB C ; Skin/metabolism*

Aim To explore the molecular mechanism of Selaginella moelledorffii Hieron. in the treatment of laryngeal cancer. Methods According to the relevant literature reports, the chemical constituents of S. moellendorffii were obtained, and the active ingredients were screened out through the SwissADME database, and the targets were screened through the PharmMapper database. The laryngeal cancer-related targets were collected by searching OMIM and other databases, and the Venny 2.1.0 online platform was used to obtain the intersection of the two. Protein interaction analysis of the potential targets was performed using the STRNG platform. GO functional analysis and KEGG pathway analysis was carried out using DAVID database. Visual networks were built with Cytoscape 3.8.0 software. Molecular docking was validated by SYBYL-X 2. 0 software. MTT method, Hoechst 33258 staining method and Western blotting were also used for validation. Results At the molecular level, a total of 110 active ingredients of S. moellendorffii and 82 drug targets were screened out, 1,608 targets related to laryngeal cancer, and intersection of 34 targets. GO analysis yielded 135 entries, and KEGG analysis yielded a total of 61 pathways. Molecular docking results showed that the 11 key active ingredients such as 2", 3"-dihydrooch-naflavone wood flavonoids and 4 core target proteins such as MAPK1 had 95. 5% of good docking activity. At the cellular level, SM-BFRE was screened for its strongest inhibitory effect on laryngeal cancer cell proliferation through MTT assay. Furthermore, Hoechst 33258 staining showed that the decrease in Hep-2 cell viability produced by SM-BFRE was related to cell apoptosis. Finally, Western blot verified that SM-BFRE inhibited PI3K/Akt/NF through inhibition- K B/COX-2 pathway to induce apoptosis in laryngeal cancer cells. Conclusions To sum up, it fully reflects the multicomponent, multi-target, and multi-channel synergistic effect of S. moellendorffii in the treatment of laryngeal cancer, and provides a theoretical reference for further elucidation of the mechanism of action of S. moellendorffii in the treatment of laryngeal cancer.

To explore the mechanism of spleen- were obtained for the treatment of acute-on-chronic livstrengthening and moisture-nourishing liver prescription er failure, and 244 intersecting target genes and 7 core (JPLSYGF) in the treatment of acute-on-chronic liver target genes were screened. Molecular docking showed failure using network pharmacology and the molecular that the core target genes AKT1, SRC, VEGFA, docking. Methods Relying on TCMSP and Gene- STAT3 , EGFR, MAPK3 , HRAS had good affinity with Cards and other databases, the relevant targets of JPL- quercetin, the main active component in the JPLSYGF in the treatment of acute-on-chronic liver failure SYGF, and had strong binding activity. In addition, in were obtained. String and Cytoscape were used to con- vivo tests verified that the JPLSYGF could reduce the struct PPI networks of targets, core targets were expression of HRAS, EGFR, STAT3 , SRC, and VEGscreened out, and DAVID was used for GO function FA, to delay the progression of acute-on-chronic liver annotation and KEGG pathway enrichment analysis. failure. Conclusions JPLSYGF may act on core tar- The main active ingredients of the traditional Chinese gets such as HRAS, EGFR, STAT3, SRC, VEGFA medicine compound formula for JPLSYGF were select- and so on, to achieve the effect of treating acute-oned with a bioavailability OB value of =Э 30% and a chronic liver failure. drug-like DL^O. 18 as the screening conditions, and.

ObjectiveTo study the effect of Qizhu Kang'ai prescription （QZAP） on the gluconeogenesis enzyme phosphoenolpyruvate carboxykinase 1 （PCK1） in the liver of mouse model of liver cancer induced by diethylnitrosamine （DEN） combined with carbon tetrachloride （CCl₄） and Huh7 cells of human liver cancer， so as to explore the mechanism on regulating metabolic reprogramming and inhibiting cell proliferation of liver cancer cells. MethodDEN combined with CCl₄ was used to construct a mouse model of liver cancer via intraperitoneal injection. A normal group， a model group， and a QZAP group were set up， in which QZAP （3.51 g·kg^-1） or an equal volume of normal saline was administered daily by gavage， respectively. Serum and liver samples were collected after eight weeks of intervention. Serum alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， γ-glutamyltransferase （γ-GT）， and alpha-fetoprotein （AFP） in mice were detected to evaluate liver function changes of mice in each group. Hematoxylin-eosin （HE） staining and Sirius red staining were used to observe pathological changes in liver tissue. In the cell experiment， Huh7 cells were divided into blank group， QZAP low， medium， and high dose groups and/or PCK1 inhibitor （SKF-34288 hydrochloride） group， and Sorafenib group. The corresponding drug-containing serum and drug treatment were given， respectively. Cell counting kit-8 （CCK-8） method， colony formation experiment， Edu fluorescent labeling detection， intracellular adenosine triphosphate （ATP） content detection， and cell cycle flow cytometry detection were used to evaluate the proliferation ability， energy metabolism changes， and change in the cell cycle of Huh7 cells in each group. Western blot was used to detect the protein expression levels of PCK1， serine/threonine kinase （Akt）， phosphorylated Akt （p-Akt）， and cell cycle-dependent protein kinase inhibitor 1A （p21）. ResultCompared with the model group， the pathological changes such as cell atypia， necrosis， and collagen fiber deposition in liver cancer tissue of mice in the QZAP group were alleviated， and the number of liver tumors was reduced （P<0.01）. The serum ALT， AST， γ-GT， and AFP levels were reduced （P<0.01）. At the cell level， compared with the blank group， low， medium， and high-dose groups of QZAP-containing serum and the Sorafenib group could significantly reduce the survival rate of Huh7 cells （P<0.01） and the number of positive cells with Edu labeling （P<0.01） and inhibit clonal proliferation ability （P<0.01）. The QZAP groups could also reduce the intracellular ATP content （P<0.05） and increase the distribution ratio of the G₀/G₁ phase of the cell cycle （P<0.05） in a dose-dependent manner. Compared with the model group and blank group， PCK1 and p21 protein levels of mouse liver cancer tissue and Huh7 cells in the QZAP groups were significantly reduced （P<0.05，P<0.01）， and the p-Akt protein level was significantly increased （P<0.01）. Compared with the blank group， the ATP content and cell survival rate of Huh7 cells in the SKF-34288 hydrochloride group were significantly increased （P<0.05）， but there was no statistical difference in the ratio of Edu-positive cells and the proportion of G₀/G₁ phase distribution. Compared with the SKF-34288 hydrochloride group， the QZAP combined with the SKF-34288 hydrochloride group significantly reduced the ATP content， cell survival rate， and Edu-positive cell ratio of Huh7 cells （P<0.05） and significantly increased the G₀/G₁ phase distribution proportion （P<0.05）. ConclusionQZAP may induce the metabolic reprogramming of liver cancer cells by activating PCK1 to promote Akt/p21-mediated tumor suppression， thereby exerting an anti-hepatocellular carcinoma proliferation mechanism.

ObjectiveThis study aimed to develop a novel method for encapsulating oocytes in sodium alginate hydrogel using microfluidics, then to vitrify these encapsulated oocytes in a single-step process with low concentrations of cryoprotectants. MethodsWe utilized a flow-focusing microfluidic chip to generate sodium alginate hydrogel microspheres. The influence of various parameters, including throat structure, cross-linking method, sodium alginate concentrations, and flow rate ratios on the stability diameter, and coefficient of variation of microspheres were examined. To further investigate the cold-resistance of these microspheres, we used cryomicroscopy to observe changes in volume and morphology of microspheres during cooling and warming processes. We used microfluidic chip to encapsulate oocytes in sodium alginate hydrogel microspheres, the empty rate of microspheres and loss rate of oocytes were determined. After releasing from microspheres and parthenogenetic activation with cytochalasin B and strontium chloride, the survival, cleavage and blastocyst rates were evaluated during in vitro maturation. Finally, oocytes encapsulated in sodium alginate microspheres were vitrified with low concentrations of cryoprotectants. We compared the survival and development capability of the oocytes with the Cryotop method. ResultsWhen the throat of the microfluidic chip measures 300 μm in length and 120 μm in width, microspheres can be uniformly formed at the throat of the chip. Sodium alginate generates microspheres with a wide size distribution when cross-linking outside the chip, while internal cross-linking within the chip results in more uniform microspheres. The stability of microsphere formation is significantly improved with the use of a three-channel internal cross-linking chip. At a flow rate of 2 μl/min and with 1% sodium alginate, the microfluidic chip can consistently and uniformly produce microspheres. Under flow rate ratios of 10, 15, and 20, the average microsphere diameters are 262.71 μm, 193.63 μm, and 156.63 μm, respectively. The sodium alginate hydrogel microspheres maintained their volume and structural integrity during the cooling and warming processes. Using a three-channel internal cross-linking microfluidic chip to encapsulate oocytes, at a flow rate ratio of 10, the empty rate is 32.28%, and the cell loss rate is 11.09%. After encapsulation and subsequent release, the oocyte survival rate (96.99%), cleavage rate (88.71%), and blastocyst formation rate (26.29%) showed no significant differences compared to the fresh group. After the microspheres were vitrified using a low concentration of cryoprotectant (10% DMSO+10% ehylene glycol (EG)+0.5 mol/L trehalose), the survival rate, cleavage rate, and blastocyst rate were 92.48%, 70.80%, and 20.42%, respectively. No significant difference was observed when compared to the Cryotop method using a higher concentration of cryoprotectant solution (15% DMSO+15% EG+0.5 mol/L trehalose). ConclusionWe designed and fabricated a microfluidic system with three-channel internal cross-linking chips used for oocyte vitrification preservation. The microfluidic system can generate oocytes-loaded sodium alginate hydrogel microspheres with uniform size, low empty rate, and good cold-resistance. The method successfully reduced the concentration of cryoprotectants in a single-step vitrification process, the developmental capability of oocytes during in vitro maturation were comparable with Cryotop method. Unlike the Cryotop method, the oocytes encapsulated in hydrogel does not come into contact with liquid nitrogen, eliminating the risk of cross-contamination. This study provides a novel approach to oocyte vitrification.

Objective:To analyze the association between visceral fat area (VFA) and fatty liver based on quantitative CT (QCT) in people receiving health examination with normal body mass index (BMI).Methods:A cross-sectional study. A total of 1 305 physical examiners who underwent chest CT and QCT examination in the Department of Health Management of Henan Provincial People′s Hospital from January to December 2021 were retrospectively selected as subjects. The physical components at the central level of the lumbar two cone were measured with QCT, including subcutaneous fat area (SFA), VFA and liver fat content (LFC). And the metabolic indexes, such as blood lipids and blood glucose, were collected. The t-test and χ2 test were used to analyze the correlation between the detection rate of fatty live and LFCr and age and gender. According to level of VFA (<100 cm 2, 100-150 cm 2 and≥150 cm 2), the subjects were divided into three groups, and one-way ANOVA and χ2 test were used in comparison between groups. Multiple linear regression was used to analyze the correlation between VFA and metabolic indexes and LFC. Results:Of the 1 305 subjects, there were 634 males and 671 females. The detection rate of fatty liver in normal BMI population was 65.67%, and it was 72.71% and 59.02% respectively in men and women ( χ2=27.12, P<0.001), and the detection rate of fatty liver and LFC increased with age (both P<0.05). With the increase of VFA, the age, BMI, SFA, LFC, total cholesterol (TC), triacylglycerol (TG), low-density lipoprotein cholesterol (LDL-C), fasting blood glucose (FBG), alanine aminotransferase (ALT), blood uric acid and prevalence of fatty liver increased (all P<0.05), and the low-density lipoprotein cholesterol (HDL-C) decreased ( P<0.001). Multiple linear regression analysis showed that after adjustment for age factors, regardless of male or female, LFC was independently positively related with VFA, BMI, and ALT (male β=0.206, 0.145, 0.174, female β=0.194, 0.150, 0.184; all P<0.05). FBG was positively correlated with male independently ( β=0.134; P<0.001). The indicators related to female independently were TC, TG, and blood uric acid ( β=-0.121, 0.145, 0.141, all P<0.05) Conclusion:In the population receiving health examination with normal BMI, the VFA measured by QCT technique is closely related to fatty liver.

To characterize human antibodies against low-calcium response V(LcrV)antigen of Yersinia pestis,the mono-clonal antibodies were screened and assayed.Antibody gene was derived from peripheral blood mononuclear cells of the vaccin-ees immunized by plague subunit vaccine in phase Ⅱb clinical trial.Human ScFv antibody library was constructed by phage dis-play.After panning library by using recombinant LcrV antigen,antibody variable genes were sequenced and converted into IgG1 format to evaluate its binding specificity and relevant parameters.An anti-plague human ScFv antibody library was estab-lished contained 7.54× 108 independent clones.After panning by LcrV antigen,3 human antibodies named as RV-B4,RV-D1 and RV-E8,respectively,were identified.Using indirect enzyme-linked immunosorbent assay(ELISA)and Western blot(WB),the specific bindings of the mAbs to LcrV antigen were confirmed.The dissociation constant(KD)of them to LcrV is 2.1 nmol/L,1.24 nmol/L and 42 nmol/L,respectively.Minor protective efficacy was found among 3 human antibodies in Y.pestis 141-infected mice.Three anti-LcrV monoclonal antibodies generated from immunized vaccinees were binding specific antibod-ies and could not block plague infection in mice.These antibodies are the potential candidate reagents for basic research of plague immunity and the application of plague diagnosis.

Objective:To construct an explainable artificial intelligence(AI) model of risk characteristics of papillary thyroid carcinoma(PTC), and to explore its value of it combined with clinical features in predicting cervical lymph node metastasis(CLNM) in PTC patients.Methods:From January 2021 to September 2022, 422 patients(422 nodules) with pathologically confirmed PTC underwent thyroidectomy and neck lymph node dissection in the Second Affiliated Hospital of Xi′an Jiaotong University were retrospectively collected, the patients were randomly divided into training set and test set according to the ratio of 7∶3. Ultrasonographic features highly correlated with PTC risk characteristics were extracted by traditional machine learning method, and an intelligent prediction model with optimal probability of risk characteristics was established. Then, a risk model for predicting CLNM of PTC patients was constructed in combination with clinical features. The diagnostic effectiveness of the model was evaluated by drawing a ROC curve and calculating the area under curve (AUC).Results:In the AI explaineable model of PTC risk characteristics in the test set, the intelligent diagnosis model of calcification based on logistic regression classification showed the highest diagnostic efficiency, with an AUC of 0.87 ( P<0.05). Compared with the probability model of risk characteristic of PTC alone, the comprehensive model combined with clinical characteristics showed higher diagnostic efficiency in predicting CLNM of PTC patients, with AUC of 0.97, diagnostic critical value of 0.15, corresponding accuracy, sensitivity and specificity of 92.65%, 92.76% and 92.54%, respectively (all P<0.05). Conclusions:The explaineble risk characteristics of PTC AI model combined with clinical features can effectively predict the cervical lymph node metastasis of PTC, and then provide effective information for clinical decision-making of PTC patients.