In this study, RAW264.7 cells were employed to investigate the effects of honey-processed Astragalus on their energy metabolism and polarization, and explore the scientific connotation of the enhanced efficacy of honey-processed Astragalus on invigorating spleen-stomach and replenishing Qi. The medicated sera were prepared by intragastric administration of rats with water extracts of crude and honey-processed Astragalus, and the composition changes of medicated sera of crude and honey-processed Astragalus were analyzed by using LC-MS technology. The cell survival rates were detected and the concentrations of medicated sera were screened through CCK-8 assay. The differences of cell phagocytic rates, ATP energy metabolism, and NO secretion between crude and honey-processed Astragalus were evaluated by using neutral red phagocytosis assay, ATP detection kit, and NO detection kit. The effects of crude and honey-processed Astragalus on TNF-α secretion of RAW264.7 cells were detected by employing ELISA kit. The effects of crude and honey-processed Astragalus on polarization of RAW264.7 cells were evaluated by utilizing flow cytometry. The differential metabolites related to glycolysis in cell lysates and culture media were screened by using LC-MS technology. The experiment was approved by the experimental animal ethics committee from Shanxi University of Chinese Medicine (No. AWE202407352). The results showed that the contents of betaine, amino acids, and ononin in the prepared medicated sera of rats treated by intragastric administration with water extracts of honey-processed Astragalus increased compared to those in crude one. The results of CCK-8 experiment showed that there were no cytotoxic effects on RAW264.7 cells in the medicated sera of crude and honey-processd Astragalus at different concentration. The phagocytic index and ATP yield both increased to varying degrees after administration of the medicated sera to cells. The secretion of NO in normal and inflammatory cells increased and decreased respectively, and the effect of honey-processed Astragalus was better than that of crude one. The results of ELISA kit showed that the medicated sera of both crude and honey-processed Astragalus could promote the secretion of TNF-α in a concentration-dependent manner, and the promoting effect of honey-processed Astragalus was stronger than that of crude one. The results of flow cytometry showed that the medicated sera of both crude and honey-processed Astragalus could promote M1-type polarization and inhibit M2-type polarization of RAW264.7 cells, and the effect of honey-processed Astragalus was better than that of crude one. Compared to crude Astragalus, the metabolites related to glycolysis in the cell lysates and culture media of the medicated sera of honey-processed Astragalus were generally on the rise, indicating that the effect on promoting glycolysis of honey-processed Astragalus was better than that of crude one. In summary, honey-processed Astragalus can promote the polarization and energy metabolism of RAW264.7 cells, and participate in positive immune regulation, which is correlated with its enhanced effect of invigorating spleen-stomach and replenishing Qi.

ObjectiveTo analyze the current status of per⁃ and polyfluoroalkyl substances (PFASs) contamination in animal⁃derived foods in Shanghai and to assess the risk of dietary exposure among local residents, thereby providing a scientific basis for future dietary safety and risk management. MethodsA total of 300 commonly consumed animal⁃derived food samples were collected in Shanghai in 2023 and tested for 17 types of PFASs. Based on local dietary consumption data, the weekly exposure intake (EWI) of four representative PFASs was calculated using the exposure assessment model recommended by Food and Agriculture Organization (FAO) and the World Health Organization (WHO). The calculated EWI was compared with the tolerable weekly intake (TWI) set by the European Food Safety Authority (EFSA) to assess the health risks associated with dietary intake of PFASs. ResultsThe predominant PFASs detected in aquatic products were PFUnDA (98.67%), PFTrDA (98.00%), and PFOS (95.33%), with PFUnDA having the highest median mass fraction (0.378 ng·g^-1). In meat samples, PFBA (54.17%), PFOA (20.83%), and PFOS (18.33%) were mainly detected, with PFBA showing the highest median mass fraction (0.027 ng·g^-1). In egg samples, the most frequently detected compounds were PFBA (90.00%), PFOA (63.33%), PFOS (50.00%), PFDA (50.00%), PFNA (50.00%), and PFHxDA (50.00%), with PFBA again having the highest median mass fraction (0.068 ng·g^-1). The median mass fractions of the four key PFASs (PFOA, PFOS, PFNA, and PFHxS) in aquatic products were significantly higher than those in meat products and eggs (all P<0.001), and there were statistically significant differences in the median mass fractions of the four PFASs among different types of aquatic products (all P<0.05). The EWI of the four PFASs was 2.970 ng·kg^-1 for the mean consumption group and 6.676 ng·kg^-1 for the high consumption group (P₉₅), with females having higher EWI values than males. ConclusionPFOS, PFOA, and PFBA are the major PFAS contaminants in animal⁃derived foods consumed by Shanghai residents, with aquatic products having the highest levels of contamination. The EWIs of four PFASs among Shanghai residents did not exceed EFSA’s recommended TWI at average consumption levels. However, the EWIs for high⁃consumption populations exceeded the EFSA⁃recommended TWI, posing potential health risks to these populations. Aquatic products contribute the most to dietary PFAS exposure. It is necessary to strengthen PFAS monitoring in aquatic products and conduct targeted risk assessments for high⁃consumption groups.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

Background Deoxynivalenol (DON), a priority contaminant for food safety risk monitoring, is produced by Fusarium spp. infesting crops, and its common derivatives are 3-acetyl-DON (3A-DON) and 15-acetyl-DON (15A-DON), which have been shown to possess gastrointestinal toxicity, immunotoxicity, reproductive toxicity, and cytotoxicity. Due to the stable physicochemical properties of the DON family of toxins (DONs), they cannot be effectively removed during food processing, thus following the food chain, entering the human body, and posing health risks. Objective To understand the contamination status of DONs in commercial foods (cereals and bakery products) in Shanghai in 2022–2023, and to assess the exposure risk of DONs in pregnant women by combining their dietary consumption data. Methods Liquid chromatography tandem mass spectrometry (LC-MS/MS) was used to determine the contamination level of DONs in 1 100 food samples (cereals and baked goods) collected in 2022 and 944 samples collected in 2023 from Shanghai. The dietary monitoring data of pregnant women in Shanghai from 2016 to 2017 were adopted. The monitoring employed the food frequency questionnaire distributed among pregnant women through a combination of online telephone enquiry and offline on-site face-to-face survey to estimate their food consumption levels. An exposure assessment model was established to calculate the exposure level to DONs, and the probability distribution of the DONs exposure level in the pregnant women group in Shanghai was obtained by applying @Risk 7.5 software and simulating the calculation according to the Monte Carlo principle. With reference to the tolerable daily intake (TDI) of DONs [1.00 µg·(kg·d)⁻¹] proposed by the Joint FAO/WHO Expert Committee on Food Additives, the risk of exposure to DONs from commercial cereals and bakery products in pregnant women in Shanghai was assessed. Results DONs were detected in cereal and bakery samples collected in 2022 and 2023 with different levels of contamination. The level of DONs in cereal foods in 2023 (mean: 36.33 µg·kg⁻¹) decreased compared to 2022 (mean: 23.64 µg·kg⁻¹). However, the positive rate (71.67%) and level (mean: 51.22 µg·kg⁻¹) of DONs in bakery products increased significantly compared with 2022 (positive rate: 10.00%, mean: 24.39 µg·kg⁻¹). The mean consumption of cereals in 783 pregnant women was 222.48 g·d⁻¹ and the mean consumption of bakery products was 36.07 g·d⁻¹, and there was no statistically significant difference in the intake of all types of cereals and bakery products across the early, middle, and late stages of pregnancy. The modelled intakes of DONs via commercial cereals and bakery products for pregnant women in Shanghai were calculated to be 0.20 and 0.57 µg·(kg·d)⁻¹ in 2022 for the mean level and the 95th percentile level, respectively, and 0.16 µg·(kg·d)⁻¹ and 0.35 µg·(kg·d)⁻¹ in 2023, respectively. The results of the health risk assessment showed that pregnant women in Shanghai had 2.6% and 1.4% probability of exposure to DONs from cereal consumption in 2022 and 2023, respectively. Conclusion The risk of exposure of pregnant women in Shanghai to DONs via commercial cereals and bakery products is relatively low (1.4%-2.6%). However, considering the physical sensitivity of pregnant women, they should avoid consuming moldy grains and appropriately reduce intake of bakery products.

Aim To dynamically characterize neuronal damage in the cortex and hippocampus of mice follow-ing acute cerebral ischemia/reperfusion(I/R).Meth-ods Male C57BL/6J mice weighing 25-28 g under-went middle cerebral artery occlusion using the fila-ment method,followed by 1 hour of reperfusion to es-tablish the acute cerebral I/R injury mouse model.The experiment comprised a sham surgery group,I/R-6 h group,I/R-24 h group,and I/R-72 h group.Longa neurological function score was used to assess the neu-rological function.Triphenyltetrazolium chloride(TTC)staining was conducted to detect cerebral in-farct volume.Hematoxylin and eosin(HE)staining was utilized to observe brain tissue pathological dam-age.Nissl staining was performed to evaluate neuronal damage.Immunofluorescence histochemistry staining was employed to assess the activation of astrocytes and microglia,as well as neuronal loss.Transmission elec-tron microscopy was used to examine mitochondrial damage in hippocampal neurons.Western blot analysis was conducted to detect the expression levels of mito-chondrial fission-fusion-related proteins p-Drp1/Drp1,Mff,Fis1,and OPA1.Results With prolonged cere-bral I/R time,neurological functional impairment,cerebral infarct volume,neuronal damage in the cortex and hippocampus,glial cell activation,neuronal loss,and mitochondrial damage gradually worsened in mice.The expression of mitochondrial fission-related proteins increased gradually,while the expression of mitochon-drial fusion-related proteins decreased gradually.Con-clusions Neuronal pathological damage,such as glial cell activation,neuronal loss,and mitochondrial dam-age,is gradually aggravated with prolonged cerebral I/R time,which may be associated with mitochondrial dynamics imbalance.

The incidence of coronary heart disease increases annually,percutaneous coronary intervention(PCI)is one of the effective treatment methods of coronary heart disease,and the transradial artery has been the most common vascular access site utilized for this procedure.Moreover,under the new era of comfortable medical treatment,the distal transradial access(dTRA)path is a new surgical path for coronary angiography and percutaneous coronary intervention,which may be replace the traditional transradial access(TRA)pathway because of its merits of less complications and higher comfort level.However,as an emerging method,the distal radial artery also has some drawbacks,such as vascular distortion,small diameter,which may cause puncture failure,vascular spasm,and difficulty in guiding wires.This article reviews on clinical application value and progress of DRA for percutaneous coronary intervention,and aiming to promote its promotion in cardiac interventionalists to benefit PCI patients.

This study aimed to determine the drug resistance phenotype and genetic characteristics of Listeria monocytogenes ST5 LK100 isolated from a neonate,which provided a basis for the diagnosis and treatment of L.monocyto-genes infection and to enhance the understanding of the genomic characteristics of this strain.A suspected L.monocytogenes strain was isolated from the gastric juice sample of an infected neonate,and identified with a VITEK2 Compact automatic mi-crobial identification instrument and 16S RNA sequencing.Five drug sensitivity tests were conducted on the identified strain with the E-test method.Additionally,the whole genome of the strain was sequenced using a third-generation sequencing plat-form.The antibiotic resistance elements of the strain were identified by BlastN with the CARD antibiotic resistance gene data-base.The multilocus sequence typing(MLST),serotyping,and virulence genes of the strain was determined by Pasteur da-tabase,the virulence gene distribution was analyzed using the virulence analysis website.The prophages of the strain were predicted and annotate by PHASTER online website.The strain(LK100)isolated from the neonate was identified as L.monocytogenes.This strain was sensitive to penicillin,ampicil-lin,meropenem,erythromycin,and trimethoprim-sulfame-thoxazole antibiotics.The MLST type and serotype was ST5 and 1/2b-3b,respectively.The total length of the chromoso-mal genome of LK100 was 3 032 582 bp with a GC content of 37.91％,and it contained a complete circular plasmid with a se-quence length of 52 822 bp.The strain LK100 carried complete InlA protein,LIPI-1 pathogenicity island,SSI-1 stress survival island,and an LGI2 genomic island.The intrinsic antibiotic resistance genes were mainly located on the chromosome.Five prophage sequences were predicted in the LK100 genome.This study identified a strain of ST5 L.monocytogenes LK100 from an infected neonate and characterized its genome and antibiotic sensitivity,laying the foundation for further research on ST5 L.monocytogenes.

Objective To investigate the impact of an integrated online and offline(O+O)co-care model on blood glucose management and pregnancy outcomes in pregnant patients with hyperglycemia.Methods A total of 200 pregnant patients with hyperglycemia(HIP)admitted to the Department of Endocrinology,Second Hospital of Jilin University were enrolled in this study from January 2021 to March 2023.All the participants were divided into two groups according to their diagnosis and treatment approach:routine group(n=102)and nursing group(n=98).General data were collected from the initial visit until delivery for comparative analysis between the two groups,including FPG,2 hPG,HbA1c,body weight,BMI,and daily insulin doses.Logistic regression analysis was used to evaluate the influencing factors for adverse pregnancy outcome in patients with gestational hyperglycemia.Results The care group exhibited higher rates of family history of DM,polycystic ovary syndrome,primipara,gestational diabetes mellitus,and diabetes combined with pregnancy compared to the routine group(P<0.01).The first visit of FPG,2 hPG,HbA1c,△FPG,△2 hPG,△HbA1c,2 hPG compliance rate,HbA1c compliance rate were higher(P<0.01),while the excess rates of △weight,2 hPG at delivery,△BMI and overweight weight gain were lower incare group than in routine group(P<0.05 or P<0.01).FPG,2 hPG and HbA1c were lower at delivery than at first visit in both groups(P<0.01).The nursing group had a lower incidence of adverse pregnancy outcomes including macrosomia and NICU admissions compared to the conventional group(P<0.05 or P<0.01).Logistic regression analysis revealed that the co-care mode was an influential factor for adverse pregnancy outcomes.Conclusions The O+O co-care mode is beneficial for managing blood glucose levels during pregnancy as well as controlling weight gain and reducing the risk of adverse pregnancy outcomes in HIP patients.

Objectives:To compare the diagnostic efficacy of non-ST-segment elevation myocardial infarction (NSTEMI) and the predictive value for major adverse cardiovascular events (MACE) of the 0/3-hour algorithm for high-sensitivity cardiac troponin (hs-cTn) recommended by the 2015 European Society of Cardiology (ESC) guidelines for the management of non-ST-segment elevation acute coronary syndrome (NSTE-ACS) and the 2021 "Chinese Expert Consensus on Laboratory Testing and Clinical Application of Cardiac Troponin" in suspected acute coronary syndrome (ACS) patients in the Chinese population. Methods:This is a multicenter prospective observational study,including 1527 patients with suspected ACS from three clinical centers from January 2017 to September 2020.Plasma hs-cTnI levels were measured using the ARCHITECT assay at the time of presentation and 3 hours later in patients with suspected ACS (test determination).Clinical judgment (independent clinical judgment by cardiac experts,independent of the test results) was used as the gold standard to compare the sensitivity,specificity,and consistency of the two diagnostic algorithms,and to analyze their predictive value for MACE at 30 days and 180 days.MACE in this study was defined as a composite event of cardiovascular death,myocardial infarction,and unplanned coronary revascularization. Results:According to clinical judgment,there were 400 patients with NSTEMI and 1127 patients without NSTEMI.The 0/3-hour algorithm recommended by the 2021 Chinese Expert Consensus showed higher sensitivity in diagnosing NSTEMI than the 2015 ESC guidelines (91.50％[95％ CI:88.32％-94.04％]vs.87.75％[95％ CI:84.13％-90.80％]),but slightly lower specificity (93.88％[95％ CI:92.32％-95.21％]vs.95.56％[95％ CI:94.19％-96.69％]),with both differences being statistically significant (both P<0.001).In the follow-up at 30 days and 180 days,the incidence of MACE in patients diagnosed with NSTEMI by both algorithms was higher than in those without NSTEMI (P<0.001).The incidence of MACE at 30 days and 180 days for the group excluded from the diagnosis of NSTEMI by 2015 ESC guidelines was 0.19％ and 1.120％,respectively,and for the NSTEMI group was 2.89％ and 3.68％,respectively;for the group excluded from NSTEMI by the 2021 Chinese Expert Consensus,the incidence was 0.096％ and 0.770％,respectively,and for the NSTEMI group was 2.91％ and 4.36％,respectively.Cox analysis showed that the HR ratio for MACE at 180 days in the NSTEMI group diagnosed by both algorithms was 3.418 and 5.892,respectively,significantly higher than the group excluded from NSTEMI. Conclusions:The 0/3-hour algorithm recommended by the 2021 Chinese Expert Consensus has superior diagnostic sensitivity compared to the 2015 ESC NSTE-ACS guidelines,at the cost of slightly lower specificity.Both algorithms can effectively predict MACE within 180 days,but based on the data from this study,the algorithm recommended by the 2021 Chinese Expert Consensus is more sensitive in predicting the risk of MACE,and patients excluded from the diagnosis of NSTEMI by this method have a lower incidence of MACE,suggesting that its application in clinical practice may be more helpful in terms of long-term safe management of patients.

Objective:To investigate the impact of small extracellular vesicles(sEVs) derived from perirenal adipose cells on the biological behavior of renal tubular epithelial cells under diabetic conditions and the underlying molecular mechanisms.Methods:Primary perirenal adipose cells were extracted from db/m and db/db mice for in vitro culture. The culture supernatant was collected and sEVs(NDM-sEVs PRAT-Adipo, DM-sEVs PRAT-Adipo) were extracted by ultracentrifugation. The sEVs were incubated with human renal tubular epithelial cell line(HK-2) to observe changes in their proliferation, apoptosis, autophagy, and epithelial-mesenchymal transition(EMT) levels. The protein composition of sEVs was analyzed using mass spectrometry to explore the molecular mechanisms. Results:CCK8 results showed that the proliferation level of HK-2 cells after DM-sEVs PRAT-Adipo intervention did not change significantly compared with the two control groups(Ctrl group and NDM-sEVs PRAT-Adipo intervention group). Western Blot(WB) results indicated that there were no significant changes in apoptosis levels(Bcl-2, Cleaved-caspase 3, Caspase 3) and autophagy levels(p62, LC3BⅠ, LC3BⅡ) in the DM-sEVs PRAT-Adipo intervention group compared with the two control groups. WB and immunofluorescence results demonstrated that DM-sEVs PRAT-Adipo intervention upregulated the expression levels of mesenchymal cell marker proteins(Vimentin, α-SMA, Snail2) and downregulated the expression level of epithelial cell marker protein ZO-1 in HK-2 cells compared with the two control groups. Mass spectrometry analysis of sEVs revealed that the differential proteins between DM-sEVs PRAT-Adipo and NDM-sEVs PRAT-Adipo were enriched in EMT-related pathways. Among them, the enrichment of thrombospondin(THBS1) in DM-sEVs PRAT-Adipo might be involved in the regulation of EMT in HK-2 cells. Conclusion:Under diabetic conditions, sEVs secreted by PRAT-derived adipocytes promote the upregulation of EMT in renal tubular epithelial cells, a process that may be mediated by the enrichment of THBS1 in sEVs.