ObjectiveTo investigate the immunomodulatory effect of polysaccharides from Astragali Radix-Angelicae Sinensis Radix herb pair（Qi-gui polysaccharides） on lipopolysaccharide（LPS）-induced RAW264.7 macrophages and to characterize the structure of the active component Qi-gui homogeneous polysaccharide（AAPS-4a）， and evaluate its protective effect on ulcerative colitis（UC）. MethodsThe effects of six Qi-gui polysaccharides（0.01-100 mg·L^-1） on the proliferation of RAW264.7 cells were assessed by cell proliferation and activity assay（CCK-8）， and enzyme-linked immunosorbent assay（ELISA） was used to investigate the effects of the six polysaccharides（3， 10 mg·L^-1） on the secretion levels of tumor necrosis factor（TNF）-α， interferon（IFN）-β， and nitric oxide（NO） in LPS-induced RAW264.7 cells. After screening for active polysaccharides， high-performance size-exclusion chromatography（HPSEC） was used to determine its homogeneity and relative molecular weight， then its characteristic functional groups were identified by Fourier transform infrared spectroscopy（FT-IR）， monosaccharide composition was analyzed by high performance liquid chromatography（HPLC）， methylation analysis combined with gas chromatography-mass spectrometry（GC-MS） was performed to determine the types and linkage modes of sugar residues， and one- and two-dimensional nuclear magnetic resonance（NMR） were used to identify the sugar residue composition and configuration of the active polysaccharide. Finally， experimental animals were divided into the normal group， model group， AAPS-4a low-dose group（50 mg·kg^-1）， AAPS-4a high-dose group（100 mg·kg^-1）， and sulfasalazine（SASP） group （75 mg·kg^-1）. Except for the normal group， the acute UC mouse model was induced using 3.5% dextran sulfate sodium salt（DSS）. Each treatment group was administered the corresponding dose via oral gavage for 7 days， and changes in body weight were recorded. After treatment， the spleen index and disease activity index（DAI） score were calculated， TNF-α and interleukin-6（IL-6） levels in the serum were detected by ELISA， and histopathological changes in colon tissue were observed by hematoxylin-eosin（HE） staining. ResultsAt the cellular level， AAPS-4a exhibited a dose-dependent inhibition of LPS-induced increases in TNF-α， IFN-β， and NO levels（P<0.01）. Structural characterization of AAPS-4a revealed that it was a homogeneous polysaccharide with a relative molecular weight of 7.6×10³ Da， consisting of mannose（Man）， glucose（Glc）， and galactose（Gal） in a molar ratio of 1.3∶23.9∶1.0. It was primarily composed of five sugar residues of 1，6-α-D-Glcp， T-α-D-Glcp， 1，3-β-D-Galp， 1，4-α-D-Manp， and 1，2-α-D-Galp. In vivo experiments showed that compared with the normal group， the model group demonstrated markedly increased DAI score and spleen index， significantly reduced colon length， and significantly elevated levels of TNF-α and IL-6（P<0.01）. Compared with the model group， the AAPS-4a high-dose group significantly reduced the DAI score and spleen index， as well as TNF-α and IL-6 levels， and improved colonic atrophy（P<0.05， P<0.01）. Pathological observations showed that AAPS-4a significantly inhibited inflammatory cell infiltration in colon tissue and alleviated pathological damage. ConclusionAAPS-4a， a neutral homogeneous polysaccharide composed of 1，6-α-D-Glcp， T-α-D-Glcp， 1，3-β-D-Galp， 1，4-α-D-Manp and 1，2-α-D-Galp， is identified as a key bioactive component contributing to the anti-UC effect of the Qi-gui herb pair. Its immunoregulatory and anti-UC properties suggest its potential as a therapeutic agent for UC.

Objective To understand the equity and influencing factors of maternal health service utilization in Changning District, Shanghai. Methods A convenience sampling method was used to conduct a questionnaire survey among mothers of children aged 1 to 1.5 years old who received health services from the child health care clinics and EPI clinics of 10 community health service centers in Changning District, Shanghai from March to April 2022. Count data was expressed by frequency and percentage. Chi-square analysis, binomial logistic regression analysis, and multivariate logistic regression analysis were used to analyze fairness-related factors. Rate difference, rate ratio and concentration index were used to represent fairness. Results A total of 696 subjects were investigated, with an average age of (33.35±4.76) years. There were statistically significant differences in service utilization among women with different household registrations only in early pregnancy registration (χ²=11.026, P=0.001) and postpartum visits (χ²=4.989, P=0.026). Women with a career showed differently in folic acid supplement (χ²=6.247, P=0.012), early pregnancy registration (χ²=12.989, P=0.002), physical examination in 42 days postpartum (χ²=4.446, P=0.035) and postpartum contraception (χ²=4.061, P=0.044), and the differences were statistically significant. Women with different monthly family income had a statistically significant difference in pre-pregnancy examination (χ²=8.977, P=0.030) and postpartum visit (χ²=16.114, P=0.001). There was a statistically significant difference between women with maternity insurance or not in the early pregnancy registration (χ²=10.576, P=0.001) and physical examination in 42 days postpartum (χ²=8.166, P=0.004). The results of the multivariate analysis showed that occupation (OR=2.616, 95% CI: 1.142-5.990) and maternity insurance (OR=4.490, 95% CI: 1.992~10.120) affected the utilization of service in early pregnancy registration. The monthly household income (OR=0.278, 95% CI: 0.124-0.625) affected the utilization of services in postpartum visit. At the same time, the monthly household income (10,000-19,999: OR=0.286, 95% CI: 0.090-0.907; ≥30,000: OR=0.180, 95% CI: 0.041-0.801) also affected the utilization of service in physical examination in 42 days postpartum. Conclusion The equity of maternal health care service utilization overall is good in central area in Shanghai, but there is still room for improvement. It is necessary to strengthen community mobilization, propagandize maternal health services, and expand the coverage of maternity insurance to improve the equity of maternal health service utilization and provide equal access to maternity health services.

Objective To explore the mechanism of IgA nephropathy(IgAN)caused by multi-glycosides of Tripterygium wilfordii(GTW)through the regulation of Silent information regulatory factor 1(SIRT 1)/nuclear transcription factor E2-related factor 2(Nrf 2)/antioxidant enzyme heme oxygenase 1(HO-1)signaling pathway.Methods Forty-five male SD rats were selected and randomly divided into two groups:the blank group(n=9)and the model group(n=36).In addition to the blank group,the BSA+CCl4+LPS group was used.At the end of 12 weeks,two rats were randomly selected for verification,and the model was successfully established.The 34 model rats were randomly divided into 3 groups:the model group(n=10),prednisone group(n=12),and GTW group(n=12).Urine,blood and kidney tissues were harvested 4 weeks after drug administration.Urinary erythrocyte number,24-h urinary protein quantification(24 h-UTP),alanine transaminase(ALT),serum albumin(ALB),urea nitrogen(BUN),and blood creatinine(SCr)were performed for each group;the protein expression of SIRT1,Nrf2,HO-1 and PINK1 was detected by Western blotting analysis;real-time polymerase chain reaction(RT-PCR)detection of SIRT1,Nrf2,HO-1 and PINK1 mRNA expression in rat kidney tissue;and detection of IgA deposition in the renal mesangial area by immunofluorescence.Kidney histopathological changes were observed in all the rats by hematoxylin-eosin(HE)staining.Results The results compared with those in the blank group,the urinary red blood cell count and 24 h-UTP,ALT,BUN,and SCr levels were significantly greater(P<0.01);The ALB level was significantly lower(P<0.01);renal tissue SIRT1,Nrf2,HO-1,PINK1 protein and mRNA expression were significantly lower(P<0.01);IgA deposition in the mesentery was obvious;renal pathological damage was severe;and the difference was statistically significant. Compared with those in the model group,urinary red blood cell counts and 24 h-UTP,ALT,BUN,and SCr levels in the prednisone and GTW groups were significantly lower (P<0.01);ALB levels were significantly greater (P<0.01);SIRT1,Nrf2,HO-1,PINK1 protein and mRNA expression were significantly greater (P<0.01);IgA deposition in the mesangial area was reduced,and renal pathology was improved,with statistically significant difference. Conclusions GTW may alleviate oxidative stress injury,protect renal function,and improve renal injury by activating the SIRT 1/Nrf 2/HO-1 signaling pathway.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To explore the correlation between tongue features of type 2 diabetes patients with coronary heart disease and glycosylated hemoglobin,liver function,blood lipids,C-reactive protein,so as to provide reference for related research.Methods Using the TFDA-1 tongue imaging device to collect patients'tongue images,experts will interpret the tongue images and extract objective parameters of the tongue images through the intelligent auxiliary diagnosis system of traditional Chinese medicine tongue diagnosis;Record patient laboratory indicators and use SPSS statistical software to analyze the correlation between tongue image distribution characteristics,tongue image parameter characteristics,and laboratory indicators using Spearman method.Results 702 patients with type 2 diabetes and coronary heart disease were included.In terms of glycated hemoglobin indicators,bruising parameters are positively correlated with HbA1c,while tongue tip RGB values are negatively correlated with HbA1c.In terms of liver function indicators,tongue edge redness,tongue tip and tongue texture R value are positively correlated with ALT and AST;Red tongue tip,tooth marks on the tongue,etc.are positively correlated with ALT;Fat tongue is positively correlated with AST.In terms of blood lipid indicators,parameters such as tooth mark tongue and tooth mark are positively correlated with TG;The parameters of white coating and tongue coating area are positively correlated with LDL-C;Thin coating is positively correlated with HDL-C,while thick coating is negatively correlated with HDL-C;Red tongue is negatively correlated with TCHO.In terms of C-reactive protein,red tongue,tip red,and edge red are positively correlated with CRP;The GB value of tongue root and tongue substance is negatively correlated with CRP.Conclusion Type 2 diabetes patients with coronary heart disease have tongue picture distribution,tongue shape parameters,tongue color parameters,coating color parameters and HbA1c,ALT,AST,TCHO,TG,HDL-C,LDL-C,CRP indicators in varying degrees of correlation.The combination of patients'tongue picture and laboratory indicators is helpful to clarify the diagnosis and prognosis of type 2 diabetes with coronary heart disease.

Diabetic encephalopathy(DE)is a complication of the central nervous system induced by diabetes,characterized by insidious onset and complex pathological mechanisms.Recent research has revealed that the pathological mechanisms of DE are closely associated with the imbalance of intercellular communica-tion across multiple organs.Exosomes,serving as vital media-tors of intercellular communication,are involved in the patholog-ical progression of DE and hold promise as diagnostic biomarkers and therapeutic targets for DE.Traditional Chinese medicine(TCM)can improve communication between brain cells and be-tween peripheral and brain tissues by regulating exosomes and their contents,thereby preventing and treating DE.Meanwhile,exosomes,as targeted delivery carriers of active molecules,can carry TCM monomers more easily across the blood-brain barrier to prevent and treat DE.In light of this,this review summarizes the regulatory role of exosomes in the pathological progression of DE and explores the enormous potential of TCM in the preven-tion and treatment of DE by regulating exosomes and using exo-somes as traditional Chinese medicine carriers,aiming to pro-vide new evidence for the prevention and treatment of DE with TCM.

Objective To analyze the serum metabolomic changes of preterm infants with bronchopulmonary dysplasia(BPD)at postmenstrual age(PMA)36 weeks,screen potential biomarkers and associated metabolic pathways,and assess their relationship with short-term respiratory outcomes.Methods A retrospective case-control study was conducted.Infants with gestational age 28-32 weeks admitted to the Children's Hospital Affiliated to Zhengzhou University from January to December 2024 were included.Twenty infants with BPD and 20 gestational age-,birth weight-,and sex-matched non-BPD preterm infants were included.Serum collected at PMA 36 weeks was subjected to untargeted metabolomics analysis,and associations with short-term respiratory outcomes were analyzed.Results Thirteen potential biomarkers distinguishing BPD were identified(area under the curve>0.75,P<0.05).Eight biomarkers—including terephthalic acid,phosphatidylinositol,fumarate,and lysophosphatidic acid—were significantly upregulated(FC≥1.5),while five biomarkers,such as 7α-hydroxy-3-oxo-4-cholestenoate ester and phosphatidylcholine,were significantly downregulated(FC≤1/1.5).Pathway analysis indicated five pathways associated with BPD,including glycerophospholipid metabolism and phenylalanine metabolism.Dysregulation of glycerophospholipid and bile acid metabolism may affect adverse short-term respiratory outcomes in infants with BPD.Conclusions The 13 significantly different metabolites may serve as biomarkers for the diagnosis of BPD.Glycerophospholipid metabolism is associated with the occurrence of BPD and with adverse short-term respiratory outcomes.

Diabetic encephalopathy(DE)is a complication of the central nervous system induced by diabetes,characterized by insidious onset and complex pathological mechanisms.Recent research has revealed that the pathological mechanisms of DE are closely associated with the imbalance of intercellular communica-tion across multiple organs.Exosomes,serving as vital media-tors of intercellular communication,are involved in the patholog-ical progression of DE and hold promise as diagnostic biomarkers and therapeutic targets for DE.Traditional Chinese medicine(TCM)can improve communication between brain cells and be-tween peripheral and brain tissues by regulating exosomes and their contents,thereby preventing and treating DE.Meanwhile,exosomes,as targeted delivery carriers of active molecules,can carry TCM monomers more easily across the blood-brain barrier to prevent and treat DE.In light of this,this review summarizes the regulatory role of exosomes in the pathological progression of DE and explores the enormous potential of TCM in the preven-tion and treatment of DE by regulating exosomes and using exo-somes as traditional Chinese medicine carriers,aiming to pro-vide new evidence for the prevention and treatment of DE with TCM.

Biosensors based on acetylcholinesterase (AChE) are crucial for early diagnosis, less invasive treatment, and drug evaluation of Alzheimer's disease (AD). However, existing technologies often suffer from enzyme conformational changes, leading to altered activity and loss and reduced sensor efficacy. To address this challenge, we developed a novel right-side-out-oriented red blood cell membrane-coated electrochemical biosensors (ROCMCBs) to evaluate AChE inhibitors from traditional Chinese medicines (TCMs) as potential anti-AD agents. The developed right-side-out-oriented coating based on immunoaffinity not only fully exposed the binding sites of AChE on the cell membrane but also ensured its conformation and stability as a peripheral membrane-anchoring protein, which was conducive to maintaining its biological activity and producing optimal interaction with drugs. At the same time, the biosensors exhibited a satisfactory sensitivity (limit of detection = 0.41 pmol/L). Ultimately, six potentially active compounds against AD (baicalin, geniposide, gastrodin, berberine, rhynchophylline, and senkyunolide A) were rapidly identified and evaluated from TCMs. This project provides a promising strategy for developing cell membrane-coated electrochemical biosensors. The application of cell membrane-coated electrochemical biosensors with well-defined cell membrane orientation further expands new perspectives and methods for AChE-targeted anti-AD research.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.