Lactic acid bacteria (LAB) are promising candidates for live bacterial drug delivery systems owing to their safety, probiotic properties, and ability to colonize the intestinal tract. At present, most research focuses on engineering LAB as carriers for the delivery of therapeutic proteins. As model organisms equipped with a versatile set of genetic tools, LAB can be readily modified to target various diseases and yield significant therapeutic effects. LAB-based carriers offer multiple advantages, including non-invasive delivery, ease of genetic manipulation, and suitability for large-scale production. Consequently, the use of LAB as recombinant protein expression vectors has attracted extensive research interest worldwide. The foundational principles, strategies for enhancing bioavailability, genetic engineering approaches, and the current research and application status of LAB-based drug delivery systems were summarized in this paper.

Objective On the basis of the theory of the tumor metastatic state, this work aims to explore the metastasis trajectories and peripheral immune response patterns in patients with non-small cell lung cancer (NSCLC) receiving vital qi-strengthening and toxin-eliminating therapy (Fuzheng Juandu) and reveal the value of peripheral immunity in assessing vital qi deficiency during metastasis. Methods A retrospective study design was adopted. Patients with NSCLC admitted from January 1, 2018, to October 31, 2025 were enrolled. Data on metastasis status and peripheral immune indices were collected at the follow-up time points of one, two, three, and five years. Group-based trajectory modeling was used to fit metastasis trajectories, and the independent predictors of trajectory grouping were analyzed through multifactor and multiclassification logistic regression. Results A total of 184 patients with NSCLC were included, and three different groups of metastasis trajectories were identified, namely, the low-risk stable (46.74%, n=86), low-risk rising (13.59%, n=25), and high-risk stable (39.67%, n=73) groups. Univariate analysis revealed substantial differences in peripheral immune indices among the three trajectory groups. Multivariate analysis showed that TNM stage, absolute neutrophil count, lymphocyte count, absolute monocyte count, platelet volume, SAA:CRP ratio, and NLR were independent predictors of the low-risk rising group, whereas TNM stage, absolute monocyte count, basophil count, SII, and NLR were independent predictors of the high-risk stable group. Conclusion Under Fuzheng Juandu therapy, patients with NSCLC exhibit three distinct metastasis trajectories, each corresponding to a specific peripheral immune response pattern. Elucidating these peripheral immune response patterns may facilitate the objective quantification of the degree of vital qi deficiency, prediction of future metastasis risk, and providing an important reference for the individualized clinical implementation of Fuzheng Juandu therapy.

Objective:To investigate the association between adiponectin-related copy number variation (CNV) region (CNVR) and gestational diabetes mellitus (GDM).Methods:Pregnant women who had prenatal screening in Anqing Municipal Hospital, Anhui Province, from February 2018 to December 2020 were surveyed for baseline information collection, and blood samples were collected. The outcome information was obtained by post pregnancy follow-up. Latex-enhanced immunoturbidimetry and ASA-CHIA chip were used to detect serum adiponectin levels and CNV of pregnant women, respectively. After genotyping, CNV data were processed with software PennCNV 1.0.5 following standard quality control procedure. CNVR were identified and integrated by using software R 4.3.3. Then the associations between CNVR and adiponectin was evaluated, and gene annotation and over-representation analysis were conducted. The log-binomial regression model was used to adjust relevant covariates and analyze the association between adiponectin-related CNVR and GDM.Results:The detection rate of GDM was 9.54% (176/1 845) in the pregnant women. The genotyping information of 1 840 people (99.73%) passed quality evaluation. A total of 33 878 CNVs were identified, and 1 449 CNVRs were obtained after integration. After the false discovery rate method correction, CNVR_132 (CHR2: 47611743-47635062), CNVR_254 (CHR3: 10182703-10183872), CNVR_691 (CHR7: 150637053-150834539) and CNVR_1101 (CHR14: 104248431-104830620) were correlated with adiponectin levels (all P<0.05). Over- representation analysis showed that the molecular function of ribonucleotide binding [Gene Ontology (GO): 0032553] was significantly enriched based on the GO database. The log-binomial regression model, adjusting age, pre-pregnancy BMI, history of miscarriage, smoking history, and family history of diabetes, indicated that CNVR_132 (CHR2: 47611743-47635062) and CNVR_1101 (CHR14: 104248431-104830620) were not statistically associated with the risk for GDM (both P>0.05). However, CNVR_254 (CHR3: 10182703-10183872, a RR=1.83, 95% CI: 1.15-2.91) and CNVR_691 (CHR7: 150637053-150834539, a RR=1.73, 95% CI: 1.23-2.43) might be associated with an increased risk for GDM (all P<0.05). Conclusion:Adiponectin-related CNVR_254 (CHR3: 10182703-10183872) and CNVR_691 (CHR7: 150637053-150834539) might be risk factors for the incidence of GDM.

Objective To analyze the correlation between inflammation indicators(systemic inflammatory response syndrome and systemic immune-inflammation index)and adverse outcomes in patients with symptomatic stroke during hospitalization.Methods This study was a prospective cohort study including consecutive patients with symptomatic stroke who were hospitalized in Fuwai Hospital from January to September 2023.The past medical history,clinical symptoms and signs of the patients were collected.The neurological damage was evaluated with National Institute of Health Stroke Scale(NIHSS).Laboratory test results were recorded and the SIRI and SII in-dex were calculated.Patients were followed up for 90 days after the stroke,and their neurological outcomes were evaluated using the modified Rankin Scale.A score of 0-1 was classified as good outcome,and a score ≥2 was classified as poor outcome.The correlation between inflammatory response indicators and poor outcomes was as-sessed using multiple Logistic regression.Results A total of 97 patients with in-hospital symptomatic stroke were included with an average age of 61.8±12.7 years.Among them,there were 28 females(28.9％,28/97),9 with a history of prior stroke(9.3％,9/97),15 with atrial fibrillation(15.5％,15/97),16 with heart failure(16.5％,16/97),and 7 with myocardial infarction(7.2％,7/97).Correlation analysis showed that the NIHSS score at the time of stroke onset was significantly correlated with the patient's post-stroke SIRI(r=0.237,P＜0.05)and SII(r=0.234,P＜0.05).After 90 days of follow-up,41 cases(42.3％,41/97)had a poor outcome.Multiple Logistic regression analysis showed that post-stroke SIRI(Or=4.71,95％CI:1.24-17.90)and SII(Or=3.13,95％CI:0.88-11.06)were correlated with poor outcomes within 90 days after the stroke.Analysis using restricted cubic splines showed that as the levels of SIRI and SII increased,the risk of poor out-comes in patients with in-hospital symptomatic stroke increased.Conclusions SIRI is an independent risk factor for poor outcomes in patients with in-hospital symptomatic stroke,and the risk of poor neurological outcomes in-creases with high level of SIRI.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To investigate the ameliorative effects and mechanisms of six types of tea(green tea,cyan tea,red tea,white tea,black tea and yellow tea)on metabolic disorders in obesity mice induced by high-fat diet(HFD).Methods Four-week-old male C57BL/6J mice were randomly divided into 8 groups with 7 mice per group.An HFD-induced obese mouse model was established,and the mice in control group maintained on standard diet followed by intragastric administration of different teas for 5 weeks.The body weight,liver weight ratio,fasting blood glucose,and lipid profile of the mice were measured to assess glucose and lipid metabolism.Serum inflammatory factors including IL-6,tumor necrosis factor-alpha(TNF-α)and oxidative stress markers[malondialdehyde(MDA)and superoxide dismutase(SOD)were measured.Additionally,liver histopathology and the expression of key glycolipid metabolism-related genes,adenosine monophosphate-activated protein kinase(AMPK)and carnitine palmitoyltransferase 1(CPT-1),were analyzed to explore underlying mechanisms.Results Cyan tea significantly suppressed weight gain,demonstrating superior weight control.White tea markedly reduced fasting blood glucose levels and decreased the area under the curve of oral glucose tolerance test(OGTT)and insulin tolerance test(ITT),indicating synergistic improvements in glucose metabolism and insulin sensitivity.Yellow tea exhibited exceptional anti-inflammatory and antioxidant effects,reducing hepatic IL-6 and MDA while enhancing SOD activity.Green tea activated the lipid oxidation pathway by upregulating AMPK/CPT-1 expression.All kinds of tea significantly attenuated hepatic lipid droplet accumulation.Conclusion All six types of tea alleviated metabolic disorders by reducing hepatic fat content in obesity mice.However,different types of tea exert their unique effects on improving metabolic disorders through differential mechanisms such as glucose metabolism regulation,lipid oxidation,and anti-inflammatory and antioxidant actions.

To investigate the effects of zearalenone(ZEA)on the proliferation and apoptosis of sika deer antler chondrocytes,the chondrocytes were isolated and cultured in vitro and treated with 50μmol/L ZEA for 24 h.Flow cytometry was used to assess cell proliferation,cell cycle,apoptosis,mitochondrial membrane potential,and intracellular levels of reactive oxygen species(ROS).The expression changes of hypertrophic cartilage cell marker genes Col X,Runx2,Alpl,and apoptosis-related genes Casp-3,Bax,Bcl-2 were measured using quantitative PCR.Additionally,glutathione reductase(GR)activity and the levels of the oxidative stress marker malondialdehyde(MDA)were determined.The results showed that after 24 h of ZEA treatment,cell proliferation was sig-nificantly inhibited,with an increase in the number of cells in the G0/G1 phase and a decrease in the S phase.The expression levels of hypertrophic chondrocyte marker genes Col X,Runx2 and Al-pl were significantly increased.Apoptosis rate was significantly increased,with elevated expression of pro-apoptotic genes Casp-3,Bax and reduced expression of the anti-apoptotic gene Bcl-2.The content of MDA in the antler chondrocytes increased,ROS levels rose,and GR activity decreased.The mitochondrial membrane potential reduced.The results suggested that ZEA could inhibit the proliferation of antler chondrocytes and promote the apoptosis by regulating cellular oxidative stress responses and the expression of apoptosis-related genes.

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics.Similarities and variations of components present significant analytical challenges.A two-dimensional(2D)liquid chromatography-mass spectrometry(LC-MS)method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium(CMS).A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated.For efficient and high-accuracy screening of CMS,a targeted method based on a self-constructed high resolution(HR)mass spectrum database of CMS components was established.The database was built based on the commercial MassHunter Personal Compound Database and Library(PCDL)software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening.On this basis,the unknown peaks in the CMS chromatograms were deduced and assigned.The molecular formula,group composition,and origins of a total of 99 compounds,of which the combined area percentage accounted for more than 95％of CMS components,were deduced by this 2D-LC-MS method combined with the MassHunter PCDL.This profiling method was highly efficient and could distinguish hundreds of components within 3 h,providing reliable results for quality control of this kind of complex drugs.

Objective To investigate the effects of scribble planar cell polarity protein(SCRIB)on proliferation,apoptosis,and autophagy of glioblastoma(GBM)and elucidate its potential underlying mechanisms.Methods The expression level of SCRIB in GBM tissue was queried through the Biomarker Exploration of Solid Tumors(BEST)database.Lentivirus-mediated shRNA interference was employed to downregulate SCRIB expression in human glioblastoma cell lines U87 and U251,which were divided into negative control group(mock)and SCRIB shRNA interference groups(kd1 and kd2).SCRIB expression levels were detected using Western blotting(WB)and quantitative polymerase chain reaction(qPCR).EdU incorporation and cell apoptosis rates were detected by flow cytometry(FCM).CCK-8 assay was used to detect the proliferation vitality of U87 and U251 cells,and WB was used to detect the expression of proliferation-related proteins.Immunofluorescence(IF)staining was conducted to detect the expression of autophagy-related proteins LC3 and p62,followed by quantitative analysis across multiple fields.WB was also used to detect the expression levels of LC3,p62,and proteins in the JAK-STAT3 signaling pathway.Results Compared with that of normal tissues,SCRIB mRNA expression level was significantly upregulated in GBM tissues(P＜0.05).FCM results showed that EdU incorporation rates were significantly reduced(P＜0.001)while cell apoptosis rates were markedly increased(P＜0.001)in U87 and U251 cells with SCRIB knockdown.CCK-8 results indicated that compared with the mock group,the proliferation vitality of U87 and U251 cells in the SCRIB knockdown group was significantly downregulated(P＜0.001).IF staining showed that LC3 fluorescence aggregation was significantly enhanced(P＜0.001),while p62 fluorescence aggregation was significantly reduced(P＜0.001)in the SCRIB knockdown group.WB results showed that compared with the mock group,the protein expression levels of p27,LC3,p-JAK2 and p-STAT3 were upregulated,while C-Myc,Cyclin D1,MCM,PCNA and p62 were downregulated,with statistically significant differences(P＜0.05).Conclusion Downregulation of SCRIB may induce autophagy and apoptosis in glioblastoma cells by inhibiting the JAK-STAT3 signaling pathway,thereby suppressing cell proliferation.

Poly(lactic-co-glycolide)(PLGA)is a key excipient in long-acting sustained-release preparations,and its degradation properties directly affect the drug release behavior.In this study,PLGA microspheres were prepared by microfluidic techniques,and the morphology changes of the microspheres were observed by scanning electron microscopy(SEM).In alkaline environment,due to the accelerated hydrolysis of ester bonds,the surface of the microspheres was rapidly dissolved and eroded,and the degradation rate was significantly higher than that in acidic environment.High temperature accelerated the degradation of PLGA microspheres.Under neutral and alkaline conditions,the microspheres showed aggregation and adhesion.Under acidic conditions,the microspheres gradually decomposed into irregular fragments.The high ionic strength further promoted the surface corrosion of the microspheres,especially under extreme pH conditions.Simultaneously,PLGA microspheres encapsulating coumarin were prepared to simulate the microsphere formulation.The release rate of coumarin after degradation of the microspheres under different conditions was observed by measuring the absorbance with ultraviolet-visible spectrophotometry.The results were consistent with those of the blank microspheres.This study revealed that the degradation of PLGA microspheres was significantly pH-dependent,temperature sensitive and ion strength responsive.These findings not only helped to understand and optimize the long-term stability and controlled release performance of drug-carrying microspheres,but also provided a theoretical basis for further improvement of PLGA-based drug carrier design.