Plutonium isotopes(238Pu,239Pu,240Pu and 241Pu)in the environment are important"fingerprint"nuclides in the study of nuclear activity traceability.The content of plutonium isotopes in the environmental metrics is usually very low,and the measurement of these isotopes,especially 238Pu,using mass spectrometry is seriously interfered with by the coexisting 238U.The analysis of several plutonium isotopes in soil usually requires combination of multiple measurement techniques,which leads to a long analysis time and large uncertainty in the isotope ratio.In this work,the hydrous titanium oxide(HTiO)precipitated by the hydrolysis of titanium oxydichloride(TiOCl2)under near-neutral condition was used to preconcentrate plutonium from the soil digestion solution,and the highly efficient decontamination of 238U in the sample was achieved by TK200 resin column chromatography with a decontamination factor of 108.Simulation resuts of density functional theory(DFT)showed that NH3 was considered as a promising reaction gas to eliminate the interference of 238U from 238Pu measurement using mass spectrometry due to the significant discrepancy of the chemical reactivity of U+and Pu+with the reactive gas NH3.Experiments confirmed that by optimizing the flow rates of collision gas(He)and reaction gas(NH3),the interference of 238U could be effectively suppressed,and the decontamination factor of 238U was 104.Combined with chemical separation,the overall decontamination factor of 238U could reach 1012 by using the developed method.By combining chemical separation and tandem quadrupole inductively coupled plasmon-mass spectrometry(ICP-MS/MS)measurement,the simultaneous determination of four ultra-trace plutonium isotopes in soil was realized,and the detection limit of plutonium isotopes was at the femtogram level.Analysis of the international standard reference materials(NIST-SRM-4357 and IAEA-384)showed that the established method could be successfully used for the accurate analysis of ultra-trace four plutonium isotopes(238Pu,239Pu,240Pu and 241Pu)in soil samples.

Alzheimer’s disease (AD) is a prevalent neurodegenerative condition characterized by progressive cognitive decline and memory loss. As the incidence of AD continues to rise annually, researchers have shown keen interest in the active components found in natural plants and their neuroprotective effects against AD. Quercetin, a flavonol widely present in fruits and vegetables, has multiple biological effects including anticancer, anti-inflammatory, and antioxidant. Oxidative stress plays a central role in the pathogenesis of AD, and the antioxidant properties of quercetin are essential for its neuroprotective function. Quercetin can modulate multiple signaling pathways related to AD, such as Nrf2-ARE, JNK, p38 MAPK, PON2, PI3K/Akt, and PKC, all of which are closely related to oxidative stress. Furthermore, quercetin is capable of inhibiting the aggregation of β‑amyloid protein (Aβ) and the phosphorylation of tau protein, as well as the activity of β‑secretase 1 and acetylcholinesterase, thus slowing down the progression of the disease.The review also provides insights into the pharmacokinetic properties of quercetin, including its absorption, metabolism, and excretion, as well as its bioavailability challenges and clinical applications. To improve the bioavailability and enhance the targeting of quercetin, the potential of quercetin nanomedicine delivery systems in the treatment of AD is also discussed. In summary, the multifaceted mechanisms of quercetin against AD provide a new perspective for drug development. However, translating these findings into clinical practice requires overcoming current limitations and ongoing research. In this way, its therapeutic potential in the treatment of AD can be fully utilized.

Based on the ultra performance liquid chromatography-quadrupole Exactive Orbitrap mass spectrometry(UPLC-Q-Exactive Orbitrap-MS) technology, combined with related literature, databases, and reference material information, this study qualitatively analyzed the components of Dayuanyin in the tissue of rats after gavage and employed molecular docking technology to predict the rationality of the mechanism behind the antipyretic effect of the in vivo components in Dayuanyin. A total of 21, 26, 20, 21, 14, and 31 prototype components and 3, 16, 3, 7, 5, and 24 metabolites were identified from the heart, liver, spleen, lung, kidney, and hypothalamus of the rats, respectively, and the binding ability of key components and targets was further verified by molecular docking. The results showed that all components had good binding ability with targets. The established UPLC-Q-Exactive Orbitrap-MS could effectively and quickly identify the Dayuanyin components distributed in tissue and preliminarily identify their metabolites. Many components were identified in the hypothalamus, which suggested that the components delivered to the brain should be focused on in the study on Dayuanyin in the treatment of febrile diseases. The molecular docking technology was used to predict the rationality of the mechanism behind its antipyretic effect, which lays the foundation for the clarification of the material basis and action mechanism of Dayuanyin, the development of new preparations, and the prediction of quality markers.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Rats ; Molecular Docking Simulation ; Male ; Antipyretics/metabolism* ; Rats, Sprague-Dawley ; Tissue Distribution ; Mass Spectrometry ; Chromatography, High Pressure Liquid ; Hypothalamus/metabolism*

Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at the single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
Transcription Factors/genetics* ; Humans ; Chromatin/genetics* ; Animals ; Binding Sites ; Mice ; DNA Footprinting/methods*

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.

Based on the pharmacokinetics theory, this study investigated the pharmacokinetic characteristics of albiflorin, paeoniflorin, wogonoside, and wogonin in normal and febrile rats and summarized absorption and elimination rules of Dayuanyin in them to provide reference for further development and clinical application of Dayuanyin. Blood samples were taken from the fundus venous plexus of normal and model rats after intragastric administration of Dayuanyin at different time points. The concentration of each substance in blood was determined by ultra performance liquid chromatography-triple quadrupole mass spectrometry(UPLC-MS/MS) technique at different time points. DAS 2.0, a piece of pharmacokinetics software, was used to calculate the pharmacokinetic parameters of each component. The results show that the 4 components had good linear relationship in their respective ranges, and the results of methodological investigation met the requirements. The pharmacokinetic parameters of C_(max), T_(max), t_(1/2), AUC_(0-t), AUC_(0-∞), and MRT_(0-t) were calculated by the DAS 2.0 non-compartmental model. Compared with those in the normal group, C_(max) and AUC_(0-t) of the 4 components in the model group were significantly increased. There were significant differences in the pharmacokinetic characteristics between the normal and model groups, suggesting that the absorption and elimination of Dayuanyin may be affected by the changes of internal environment of the body in different physiological states.
Animals ; Rats ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Rats, Sprague-Dawley ; Fever/metabolism* ; Tandem Mass Spectrometry ; Chromatography, High Pressure Liquid ; Glucosides/pharmacokinetics* ; Monoterpenes

Objective::This study aimed to assess the impact of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor treatment immediately after percutaneous coronary intervention (PCI) on the myocardial salvage index (MSI) in patients with anterior ST-segment elevation myocardial infarction (STEMI) 5-10 d after the procedure.Methods::The early PCSK9 inhibitor thERapy Following pErcutaneous Coronary inTervention (PERFECT) trial is a prospective randomized controlled trial. From January 2021 to December 2023, 32 patients with anterior STEMI from Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, and Shanghai Tenth People’s Hospital were enrolled in the PERFECT trial. Patients were randomly assigned in a 1∶1 ratio to the PCSK9 inhibitor group ( n = 16) or the control group ( n = 16), and their baseline data were collected. Patients in the PCSK9 inhibitor group (ie, alirocumab group) received a subcutaneous injection of PCSK9 inhibitor (alirocumab, 75 mg) immediately after PCI based on conventional treatment. In the control group, patients received only conventional treatment. The primary endpoint was the MSI measured by cardiovascular magnetic resonance 5-10 d after PCI. The secondary endpoints included the left ventricular ejection fraction measured by cardiovascular magnetic resonance 5-10 d after PCI and the time to peak of creatine kinase isoenzyme-MB and high-sensitivity cardiac troponin T. Safety endpoints included any clinical adverse events that occurred during the 6-month follow-up period. Results::Baseline data during admission showed no intergroup significance. No significant difference in MSI (55.54% ± 14.80% vs. 44.72% ± 15.42%, P = 0.056) and left ventricular ejection fraction (51.24% ± 8.91% vs. 44.99% ± 8.84%, P = 0.060) was observed. Additional, there was no significant difference in the time to peak of creatine kinase isoenzyme-MB ((12.97 ± 5.67) h vs. (14.31 ± 7.04) h, P = 0.557) and high-sensitivity cardiac troponin T ((21.03 ± 12.46) h vs. (21.44 ± 9.99) h, P = 0.920) between the 2 groups. During the 6-month follow-up period, only 1 patient in the PCSK9 inhibitor group developed cerebral hemorrhage 6 months after PCI. Conclusions::Early treatment with alirocumab did not exhibit a significant increase in MSI at 5-10 d in patients with anterior STEMI. Larger trials are necessary to evaluate the impact of early administration of PCSK9 inhibitors after myocardial infarction.

Objective::This study aimed to assess the impact of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor treatment immediately after percutaneous coronary intervention (PCI) on the myocardial salvage index (MSI) in patients with anterior ST-segment elevation myocardial infarction (STEMI) 5-10 d after the procedure.Methods::The early PCSK9 inhibitor thERapy Following pErcutaneous Coronary inTervention (PERFECT) trial is a prospective randomized controlled trial. From January 2021 to December 2023, 32 patients with anterior STEMI from Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, and Shanghai Tenth People’s Hospital were enrolled in the PERFECT trial. Patients were randomly assigned in a 1∶1 ratio to the PCSK9 inhibitor group ( n = 16) or the control group ( n = 16), and their baseline data were collected. Patients in the PCSK9 inhibitor group (ie, alirocumab group) received a subcutaneous injection of PCSK9 inhibitor (alirocumab, 75 mg) immediately after PCI based on conventional treatment. In the control group, patients received only conventional treatment. The primary endpoint was the MSI measured by cardiovascular magnetic resonance 5-10 d after PCI. The secondary endpoints included the left ventricular ejection fraction measured by cardiovascular magnetic resonance 5-10 d after PCI and the time to peak of creatine kinase isoenzyme-MB and high-sensitivity cardiac troponin T. Safety endpoints included any clinical adverse events that occurred during the 6-month follow-up period. Results::Baseline data during admission showed no intergroup significance. No significant difference in MSI (55.54% ± 14.80% vs. 44.72% ± 15.42%, P = 0.056) and left ventricular ejection fraction (51.24% ± 8.91% vs. 44.99% ± 8.84%, P = 0.060) was observed. Additional, there was no significant difference in the time to peak of creatine kinase isoenzyme-MB ((12.97 ± 5.67) h vs. (14.31 ± 7.04) h, P = 0.557) and high-sensitivity cardiac troponin T ((21.03 ± 12.46) h vs. (21.44 ± 9.99) h, P = 0.920) between the 2 groups. During the 6-month follow-up period, only 1 patient in the PCSK9 inhibitor group developed cerebral hemorrhage 6 months after PCI. Conclusions::Early treatment with alirocumab did not exhibit a significant increase in MSI at 5-10 d in patients with anterior STEMI. Larger trials are necessary to evaluate the impact of early administration of PCSK9 inhibitors after myocardial infarction.

The compounds were isolated and purified by silica gel, MCI, Sephadex LH-20 and semi-preparative high performance liquid chromatography. The structures of the compounds were determined by NMR and MS spectroscopic data. Twenty monomer compounds were isolated from the ethyl acetate extract of Lindera reflexa root from Hunan province, and identified as: (1″S,3″S,6″R)-2′,4′,6′-trihydroxy-3′-[1″-(3″-hydroxy)-p-menthanyl]-chalcone (1), sumadain D (2), quercetin (3), catechin (4), epicatechin (5), N-cis-feruloyltyramine (6), N-trans-feruloyltyramine (7), N-trans-feruloyl-3-methoxytyramine (8), flavifloramides B (9), northalifoline (10), isolariciresinol (11), syringaresinol (12), pinoresinol (13), medioresinol (14), dehydroconiferyl alcohol (15), 4-methoxyl-denudaquinol (16), miliusanal (17), syringic acid (18), abscisic acid (19), (E)-cinnamyl-(E)-cinnamate (20). Compound 1 is a new compound, and compounds 2‒20 have been isolated from Lindera reflexa for the first time. The results showed that compounds 1, 2, 3 and 16 could significantly reduce the survival ability of MGC-803 cells with IC₅₀ values of 5.58, 23.41, 25.72 and 20.96 μmol·L^-1, respectively. Compounds 5 and 20 can reduce the survival ability of MGC-803 cells with IC₅₀ values of 98.83 and 89.26 μmol·L^-1, respectively.

Objective To explore the correlation between healthcare-associated infection(HAI)and partial inde-xes in the diagnosis-related groups(DRGs)of patients in thoracic surgery intensive care unit(ICU).Methods DRGs,case mix index(CMI),relative weight(RW),and HAI of patients in thoracic surgery ICU and four subspe-cialty departments(pulmonary surgery group,esophageal surgery group,mediastinum group[mainly thymic sur-gery],and trachea group)in a tertiary chest hospital in Shanghai from January to December 2022 were retrospec-tively analyzed and compared through DRGs index grouping.Results A total of 1 429 patients in the department of thoracic surgery ICU were analyzed,including 59 HAI cases,with a HAI rate of 4.13％.The incidences of HAI in pulmonary surgery group,esophageal surgery group,mediastinum group and trachea group were 3.74％(30/803),5.84％(25/428),1.27％(2/157)and 4.88％(2/41),respectively.There was no statistically significant differ-ence in the incidences of HAI among different subspecialty groups(P＞0.05).A total of 35 DRGs were involved,with CMI of 2.75,3.41,2.35 and 1.25 in pulmonary surgery group,esophageal surgery group,mediastinum group and trachea group,respectively,and RW ranged from 0.53 to 12.62.In the pulmonary surgery group,inci-dence of HAI in male patients was higher than that in female patients.Higher RW score level was associated with higher incidence of HAI.Differences were all statistically significant(all P 0.05).Among patients in the esophageal surgery group,the age of HAI group was higher than that of the non-HAI group(P＜0.05).Higher RW score level was associated with higher incidence of HAI(P＜0.05).Among patients in the mediastinum sur-gery group,the age of patients in the infected group was higher than that in the non-infected group(P＜0.05).Among the 59 HAI cases,31 were infected with MDROs.Conclusion Focusing on CMI and RW in the DRGs in-dex system,analyzing HAI from the perspectives of disease complexity and overall technical difficulties of medical services can provide reference for the precise management of HAI in the new era.