ObjectiveTo investigate the molecular mechanism by which the Bushen Kaixuan Tongluo prescription exerts a renal protective effect in mice with diabetic kidney disease （DKD） by regulating the cyclic adenosine monophosphate （cAMP） signaling pathway. MethodsThirty specific pathogen-free （SPF） male db/db mice were adaptively fed for three weeks. Mice with a random tail vein blood glucose level ≥ 11.1 mmol·L^-1 and urinary albumin-creatinine ratio （ACR） ≥ 30 mg·g^-1 were considered successfully modeled. The successfully modeled mice were randomly divided into five groups with six mice in each group： the model group， the low-， medium-， and high-dose Bushen Kaixuan Tongluo prescription groups （administered at doses of 7， 14， 28 g·kg^-1·d^-1 respectively）， and the positive drug irbesartan group （administered at a dose of 20 mg·kg^-1·d^-1）. Additionally， six db/m mice were selected as the blank group. Mice in each group were given intragastric administration of the Bushen Kaixuan Tongluo prescription at the corresponding concentrations， irbesartan， or an equal volume of pure water， and the intervention lasted for 12 weeks. During the experiment， the general conditions， body weight changes， and renal function indicators of the mice were dynamically monitored. After the intervention， a blood glucose meter was used to measure the fasting blood glucose （FBG） of the mice. An automatic biochemical analyzer was employed to detect the levels of serum creatinine （SCr）， blood urea nitrogen （BUN）， urinary microalbumin （uALB）， ACR， aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， total cholesterol （TC）， triglycerides （TG）， leptin （LEP）， glycosylated serum protein （GSP）， and insulin （INS） in the mice. Renal tissues were collected for hematoxylin-eosin （HE） staining， periodic acid-Schiff （PAS） staining， and Masson's trichrome staining to observe the histopathological changes. Immunohistochemistry （IHC） was used to detect the expressions of protein kinase A （PKA） and cAMP response element-binding protein （CREB） in the mice. Western blot analysis was performed to determine the expression levels of PKA， phosphorylated protein kinase A （p-PKA）， CREB， phosphorylated cAMP response element-binding protein （p-CREB）， and B-cell lymphoma-2 （Bcl-2） proteins in the renal tissues of the mice. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression levels of PKA， CREB， and Bcl-2 in the renal tissues of the mice. ResultsCompared with the blank group， the mice in the model group showed listlessness， decreased activity， and a significant increase in body weight （P<0.01）. Biochemical indicators revealed that the levels of BUN， uALB， ACR， AST， ALT， TC， TG， FBG， LEP， GSP， and INS were significantly increased （P<0.01）， while SCr showed an increasing trend with no statistically significant difference. Compared with the model group， the mice in the Bushen Kaixuan Tongluo prescription intervention groups had improved general conditions and a decreasing trend in body weight. Biochemical indicators showed that the levels of BUN， uALB， ACR， TC， GSP， and INS were significantly decreased （P<0.05）， while SCr， AST， ALT， TG， and LEP showed a decreasing trend with no statistically significant difference. Renal histopathological analysis showed that the model group exhibited typical DKD pathological features such as thickening of the glomerular basement membrane， expansion of the mesangial matrix， and deposition of collagen fibers in the renal tubulointerstitium， and all treatment groups could alleviate the above pathological damages. The IHC results showed that compared with the blank group， the expression levels of p-PKA and p-CREB in the renal tissues of the model group were significantly decreased （P<0.01）. Compared with the model group， the expression level of p-PKA in the medium-dose Bushen Kaixuan Tongluo prescription group was significantly increased （P<0.01）， while the expression level of p-CREB showed an increasing trend with no statistically significant difference. Western blot results showed that compared with the blank group， the expression levels of p-PKA/PKA， p-CREB/CREB， and Bcl-2 in the model group were significantly decreased （P<0.05）. Compared with the model group， the expression levels of these proteins in the medium-dose Bushen Kaixuan Tongluo prescription group were significantly increased （P<0.01）. Real-time PCR results showed that compared with the blank group， the mRNA expressions of PKA， CREB， and Bcl-2 in the model group were significantly down-regulated （P<0.05）. Compared with the model group， the mRNA expressions of these genes in the medium-dose Bushen Kaixuan Tongluo prescription group were significantly up-regulated （P<0.05）. ConclusionThe Bushen Kaixuan Tongluo prescription can improve the liver and kidney functions of db/db mice， correct lipid metabolism disorders and glucose metabolism imbalance. Its renal protective effect is associated with up-regulating the cAMP signaling pathway to improve renal fibrosis and reduce the level of oxidative stress， thereby protecting renal function.

Cryo-electron tomography (cryo-ET) enables the determination of high-resolution three-dimensional structures of macromolecular complexes within cells in a near-physiological state, providing crucial structural insights into fundamental life processes. Cryo-ET has achieved landmark successes in single-cell models. However, many critical biological processes do not occur in isolated cells but emerge from intercellular coordination within tissues. Furthermore, many research subjects, including neural tissues, tumor biopsies, plant tissues, and clinical pathological samples, cannot be obtained through single-cell culture and must be directly dissected from organisms or tissue blocks. Advancing cryo-ET from single-cell to tissue-level applications is therefore crucial for capturing the full complexity of biological activities in their native context. A major technical bottleneck for tissue cryo-ET lies in the preparation of sufficiently thin (<300 nm) lamellae from vitrified tissue specimens. Although high-pressure freezing can vitrify tissues up to 200 µm thick, these samples are far too thick for direct transmission electron microscopy imaging. Among the available thinning methods, cryo-focused ion beam (cryo-FIB) milling has emerged as the most promising approach, as it avoids the mechanical artifacts inherent to cryo-ultramicrotomy. However, conventional on-the-grid cryo-FIB milling is inefficient for thick tissues, requiring excessive milling time and discarding most of the sample. To overcome these limitations, cryo-lift-out has been developed—a technique in which a micromanipulator physically extracts a chunk of interest from deep within the tissue and transfers it to a dedicated grid for final thinning. This approach bypasses the thickness barrier and enables site-specific analysis of internal structures. This review systematically traces the evolution of cryo-lift-out from its origins in materials science to its adaptation for biological tissues. In room-temperature lift-out, reliable attachment is achieved by gas-injection system (GIS)-assisted metal deposition. Transferring this approach to cryogenic conditions proved challenging because precursor gases condense on all cold surfaces, leading to contamination and poor adhesion. The development of copper-assisted redeposition marked a critical turning point: instead of relying on gas deposition, this method uses ion-beam sputtering to deposit copper atoms at the needle-chunk interface, creating a strong, low-contamination bond. This innovation has enabled robust cryo-lift-out workflows and paved the way for serial lift-out, in which multiple consecutive lamellae are prepared from a single tissue chunk, substantially increasing throughput and enabling volumetric imaging. Despite these advances, several technical challenges remain. Curtaining effects caused by uneven chunk surfaces can introduce artifacts into tomograms, requiring careful optimization of milling parameters and protective coating. The cryo-adhesion step still demands precise control of beam angle, needle positioning, and milling depth, making the process highly operator-dependent. Additionally, the choice of grid geometry is critical. Custom-designed grids with double-sided attachment improves stability and offer better compatibility with cryo-ET tilt series. Automation, which has greatly improved room-temperature lift-out, has not yet been achieved for cryo-lift-out due to the complexity of handling heterogeneous biological tissues and the need for real-time adaptation. Future progress will likely focus on integrating cryo-lift-out with volume electron microscopy to correlate ultrastructure across scales, developing intelligent control systems to reduce user intervention, and extending the technology to challenging samples such as plant tissues and some material science samples for interface study. A systematic analysis of the cryo-lift-out technique clarifies the key limiting factors for its large-scale application and lays a foundation for methodological refinement and technological innovation. By consolidating recent advances and identifying remaining bottlenecks, this review aims to support the broader adoption of cryo-lift-out and accelerate the development of tissue-scale in situ structural biology.

Purpose: Leptin interacts not only with leptin receptor (LEPR) but also engages with other receptors. While the pro-oncogenic effects of the adrenergic receptor β2 (ADRB2) are well-established, the role of leptin in activating ADRB2 in triple-negative breast cancer (TNBC) remains unclear. Materials and Methods: The pro-carcinogenic effects of LEPR were investigated using murine TNBC cell lines, 4T1 and EMT6, and a tumor-bearing mouse model. Expression levels of LEPR, NADPH oxidase 4 (NOX4), and ADRB2 in TNBC cells and tumor tissues were analyzed via western blot and quantitative real-time polymerase chain reaction. Changes in reactive oxygen species (ROS) levels were assessed using flow cytometry and MitoSox staining, while immunofluorescence double-staining confirmed the co-localization of LEPR and ADRB2. Results: LEPR activation promoted NOX4-derived ROS and mitochondrial ROS production, facilitating TNBC cell proliferation and migration, effects which were mitigated by the LEPR inhibitor Allo-aca. Co-expression of LEPR and ADRB2 was observed on cell membranes, and bioinformatics data revealed a positive correlation between the two receptors. Leptin activated both LEPR and ADRB2, enhancing intracellular ROS generation and promoting tumor progression, which was effectively countered by a specific ADRB2 inhibitor ICI118551. In vivo, leptin injection accelerated tumor growth and lung metastases without affecting appetite, while treatments with Allo-aca or ICI118551 mitigated these effects. Conclusion This study demonstrates that leptin stimulates the growth and metastasis of TNBC through the activation of both LEPR and ADRB2, resulting in increased ROS production. These findings highlight LEPR and ADRB2 as potential biomarkers and therapeutic targets in TNBC.

This study aims to screen epitope antigens targeting the receptor binding domain(RBD)of porcine epidemic diarrhea virus(PEDV)based on its amino acid sequence(GenBank accession number:AKN45969.1),prepare PEDV RBD polyclonal antibody,and perform their identification.Bioinformatics analysis software was used to predict the potential antigenic epitopes of PEDV RBD and sequence comparison with porcine coronavirus strains was performed,the selected dominant antigen epitopes were then conjugated with keyhole limpet hemocyanin(KLH),to synthesize pep-tides directly and immunize mice to generate specific antibody,Western blot technique and indirect immunofluorescence assay were utilized to identify the specificity of the antibodies,and indirect ELISA method was further applied to determine the antibody potency.Results showed the selected PEDV RBD dominant epitope sequence shared 100％similarity with 18 other PEDV strains,while exhibiting low sequence similarity with 11 TGEV strains(27.8％—29.3％)and 16 PDCoV strains(10.5％—13.4％),indicating good epitope conservation.Western blot showed that the specificity of the prepared peptide antibody specifically recognized the PEDV RED protein overexpressed in Ex-pi293F cells and overexpressed in baculovirus system,and at the same time,the antibody was still able to detect the PEDV S protein expressed in PEDV-infected Vero cells at a 1∶2 000 dilution,while it did not react with TGEV-and PDCoV-infected ST cells,indicating that the good specificity of the peptide antibody.ELISA revealed that the potency of specific antibodies in mouse serum could reach up to 1∶25 600.The above results indicate that bioinformatics techniques were suc-cessfully utilized to predict antigenic epitopes of PEDV RBD protein,and specific PEDV RBD pep-tide antibodies were prepared.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To analyze the medication rules and clinical experience of Qin Zujie in treating virtual labor based on data mining.Methods Outpatient medical records of Qin Zujie,diagnosed with deficiency syndrome at Ethnic Medicine Characteristic Diagnosis and Treatment Center,Guangxi International Zhuang Medical Hospital from January to December 2024 were selected.A standardized database was established and processed,yielding 148 clinical prescriptions containing 171 herbal ingredients.Frequency analysis,association rule analysis,and cluster analysis were employed to examine medication rules and clinical experience.Results The 20 Chinese herbal ingredients used more than 30 times each,with the first three being Zhigancao,Baizhu,Danggui.These herbs are primarily warm in nature,neutral in temperature,and slightly cold in effect,characterized by sweet,pungent,and bitter flavors.They mainly affect the spleen meridian and function to tonify deficiency,with Qi-tonifying herbs being the most common.Through association rule analysis,the most frequently combined pairs were Baizhu-Dangshen.Cluster analysis identified three core prescription clusters.Conclusion Qin Zujie's academic thought of treating virtual labor is to supplement deficiency as the main,detoxification as the auxiliary,and treat both the symptoms and the causes.

[Purpose]To analyze the trends in incidence,mortality and potential life loss of esophageal cancer in Linzhou City of Henan Province from 2010 to 2019.[Methods]The data of esophageal cancer incidence and mortality from 2010 to 2019 were collected from Linzhou cancer registries.The crude incidence and mortality rates,age-standardized rates(ASR)by sex and age group,the potential years of life lost(PYLL),average potential years of life lost(APYLL),and potential years of life lost rate(PYLLR)were calculated.The average annual percentage change(AAPC)from 2010 to 2019 were analyzed with Joinpoint software.[Results]From 2010 to 2019,there were a total of 8 447 newly diagnosed cases and 6 475 deaths of esophageal cancer in Linzhou.The ASR incidence and ASR mortality of esophageal cancer in the total population,males,females all showed significant downward trends,with AAPCs of-3.97％,-4.35％,-3.29％and-3.78％,-2.68％,-4.95％,respectively(all P＜0.05).The crude incidence and mortality rates in all age groups also showed significant downward trends.The AAPCs of incidence rate for the age groups of 0～49,50～59,60～69,and ≥70 years old were-9.92％,-8.27％,-1.41％,and-3.86％,respectively(all P＜0.05),and the AAPCs of mortality rate were-950％,-12.36％,-2.61％,and-2.98％,respectively(all P＜0.05).From 2010 to 2019,the total PYLL caused by esophageal cancer was 60 880 person years,APYLL was 13.73 person years,and PYLLR was 5.77‰.The PYLL,APYLL,and the PYLLR of the total population and those stratified by sex all showed a decreasing trend(all P＜0.05).[Con-clusion]From 2010 to 2019,the incidence,mortality and potential life loss of esophageal cancer in Linzhou City all decreased,and the long-term effect and screening programs is significant.How-ever,the risk of esophageal cancer among men and the elderly is still relatively high,indicating that more targeted prevention and control strategies should be developed.

[Purpose]To analyze the trends of incidence and mortality of malignant tumors in Linzhou City of Henan Province from 2010 to 2019.[Methods]The incidence and mortality data of malignant tumors of Linzhou cancer registration areas from 2010 to 2019 were collected and evaluated for data quality.The crude incidence/mortality rates and age-standardized incidence/mortality rates by Chinese standard population(ASIRC/ASMRC)were calculated by sex,age and can-cer type.Joinpoint software was used to calculate the average annual percentage change(AAPC)to analyze the trends from 2010 to 2019.[Results]From 2010 to 2019,the crude incidence of malig-nant tumors in Linzhou City showed an upward trend,with an AAPC of 2.09％(95％CI:0.58％～3.63％),while the ASIRC tended to be stable.The incidence of malignant tumors showed a signifi-cant upward trend in the 15～29 and 60～69 age groups,and a significant downward trend in the 70～79 age group.From 2010 to 2019,the ASIRC of esophageal cancer and stomach cancer in both men and women showed a significant downward trend,while that of lung cancer and prostate cancer increased in men,and the incidences of thyroid cancer,uterus cancer,cervical cancer,lung cancer and breast cancer increased significantly in women.From 2010 to 2019,the crude mortality of malignant tumors in Linzhou showed a significant upward trend,with an AAPC of 1.18％(95％CI:0.88％～1.48％),while ASMRC showed a significant downward trend,with an AAPC of-1.63％(95％CI:-1.86％～-1.40％).The mortality increased in the group aged 80 and above,while the other age groups remained in a downward or stable state.From 2010 to 2019,the ASMRC of stomach cancer and esophageal cancer in both men and women showed a down-ward trend,while those of prostate cancer,and malignant tumors of the lip,oral cavity and pha-ryngeal in men increased,and that of ovarian cancer in women increased significantly.[Conclu-sion]The disease burden of malignant tumors in Linzhou City is still heavy.The incidence of common cancer types such as thyroid cancer,prostate cancer and lung cancer shows a significant-ly increasing trends from 2010 to 2019.

Atherosclerosis(AS)is a chronic and progressive inflammatory vascular disease,characterized by a complex regulatory network immune cells.Noncoding RNAs(ncRNAs),a category of RNA molecules without protein-coding capacity,are implicated in the regulation of immune cells,including macrophages and T cells in AS,thereby modu-lating the progression of the disease.However,the mechanisms through which ncRNAs affect immune cells in AS remain inadequately explored.Consequently,this article aims to delineate the mechanisms by which ncRNAs influence immune cells,their roles in AS,and their potential as diagnostic markers.The goal is to highlight the current understanding of ncRNA involvement in the regulation of immune cells,offering theoretical support for the continued investigation of thera-peutic targets and diagnostic markers for AS.

Objective To observe the value of T1WI deep learning models for evaluating brain injury of neonatal hyperbilirubinemia(NHB).Methods Totally 106 NHB(defined as newborns with neonatal behavioral neurological assessment≤37,NHB group)and 119 non-NHB newborns(control group)in center A,as well as 34 NHB and 18 non-NHB newborns in center B were collected.ROI was delineated based on bilateral globus pallidus on T1WI.A total of 690 slices were obtained by preprocessing data of center A and then were divided into training set(n=552)and test set(n=138)at a ratio of 8∶2.ResNet18,DenseNet121 and EfficientNetB0 models was established,respectively.External validation was performed based on data of center B.Receiver operating characteristic curves were drawn,area under the curves(AUC)were calculated to evaluate the performance of models for assessing NHB brain injuries compared with traditional visual analysis.Results The AUC of ResNet18 model for evaluating NHB brain injury was 0.910-0.990,significantly higher than that of DenseNet121 model(0.710-0.820)and EfficientNetB0 model(0.640-0.740)(all P＜0.001).The accuracy,sensitivity and precision of ResNet18 model for evaluating NHB brain injury were all higher than those of visual analysis(all P＜0.05),while no significant difference of specificity was found between the above two(P＞0.05).Conclusion T1WI ResNet18 model showed excellent performance and generalization ability for evaluating NHB brain injury.