OBJECTIVES: To observe the evolution of intrahepatic macrophage polarization in mice with liver fibrosis induced by iron overload. METHODS: Thirty-two C57BL/6 mice (6-8 weeks) were randomized into control group (n=8) and liver fibrosis model group (n=24) induced by aidly intraperitoneal injection of iron dextran. At the 3rd, 5th, and 7th weeks of modeling, 8 mice in the model group were sacrificed for observing liver fibrosis using Masson, Sirius Red and immunohistochemical staining and detecting serum levels of ALT, AST and the levels of serum iron, ferritin, liver total Fe and ferrous Fe. iNOS⁺/F4/80⁺ cells and CD206⁺/F4/80⁺ cells were detected by double immunofluorescence assay to observe the proportion and distribution of M1 and M2 macrophages. The hepatic expressions of Arg-1, iNOS, IL-6, IL-10, and TNF‑α proteins were detected using Western blotting or ELISA, and the expression of CD206 mRNA was detected using RT-PCR. RESULTS: The mice in the model group showed gradual increase of fibrous tissue hyperplasia in the portal area over time, structural destruction of the hepatic lobules and formation of pseudolobules. With the passage of time during modeling, the rat models showed significantly increased hepatic expressions of α-SMA and COL-1, elevated serum levels of ALT, AST, Fe, ferritin, and increased liver total Fe and ferrous Fe levels. The expressions of M1 polarization markers IL-6, TNF‑α, and iNOS all increased with time and reached their peak levels at the 3rd week; The expressions of M2 polarization markers (IL-10 and Arg-1 proteins and CD206 mRNA) significantly increased in the 3rd week and but decreased in the 5th and 7th weeks. CONCLUSIONS Iron overload promotes M1 polarization of macrophages in mice. Liver fibrosis in the early stage promotes M2 polarization of macrophages but negatively regulate M2 polarization at later stages.
Animals ; Mice ; Mice, Inbred C57BL ; Iron Overload/pathology* ; Macrophages/metabolism* ; Male ; Liver Cirrhosis/etiology* ; Nitric Oxide Synthase Type II/metabolism* ; Interleukin-10/metabolism* ; Liver/pathology* ; Interleukin-6/metabolism* ; Mannose Receptor ; Tumor Necrosis Factor-alpha/metabolism* ; Mannose-Binding Lectins/metabolism* ; Arginase

Aneurysmal subarachnoid hemorrhage(aSAH)is a type of hemorrhagic stroke with high morbidity and mortality.After treatment,most aSAH patients can completely recover their neurological func-tion,about 50％of aSAH patients will have cognitive disorder,mainly manifested as executive function,lan-guage and memory dysfunction,more than half of aSAH patients can not recover cognitive function,which brings great pressure to individuals and their families.This article aims to discuss the characteristics,influen-cing factors,assessment tools,potential mechanisms and drug therapy of post-ASAH cognitive disorder,in or-der to provide prevention and treatment strategies for clinical post-ASAH cognitive disorder.

Objective To develop a machine learning-based risk prediction model for postoperative acute kidney injury(AKI)and a model for mortality in obese patients admitted to intensive care unit(ICU)in order to improve early warning and prognostic evaluation to support clinical decision-making.Methods Data of obese postoperative ICU patients were retrospectively retrieved from the MIMIC-Ⅳ and eICU databases for statistical analysis.Ultimately,2 520 patients(670 from MIMIC-Ⅳ and 1 850 from eICU databases)were included to build the risk prediction models for AKI and mortality.The data included demographic information,vital signs,laboratory findings,surgical types,comorbidities,and medication use.After data cleaning and preprocessing,Boruta feature selection was applied,followed by the construction of prediction models using 7 machine learning algorithms,that is,Gradient Boosting Machine(GBM),Generalized Linear Model(GLM),k-Nearest Neighbors(KNN),Na?ve Bayes(NB),Neural Network(NNET),Support Vector Machine(SVM),and XGBoost.Model performance was evaluated through cross-validation and external validation.Results In the risk prediction models of AKI,the SVM model achieved the highest AUC value of 0.80 in the testing set and 0.71 in the external validation test.For the risk prediction models of mortality,the GBM model outperformed others in the prediction,attaining an AUC value of 0.91 in the testing set.Conclusion Risk predictive models for postoperative AKI and mortality in obese ICU patients are successfully constructed,and are valuable tools for clinicians to optimize early intervention and improve clinical outcomes for the patients.

In analytical techniques such as ion mobility spectrometry(IMS)and mass spectrometry(MS),the ionization efficiency of target analytes is primarily constrained by the type of ionization source and factors such as the species and number density of the reactant ions.Systematic investigation into the reactivity differences of various reactant ions under varying conditions can not only significantly enhance the detection sensitivity of target compound product ions but also provide a theoretical foundation for establishing efficient detection methods based on ion-molecule reaction mechanisms.In this study,the pressure of a pressure-tunable photoionization tandem ion mobility spectrometry(PI-tandem-IMS)was reduced from ambient pressure(100 kPa)to low pressure(20 kPa)to systematically examine the reactivity differences between two negative reactant ions,CO3-and CO4-,and methyl salicylate(MeSA)under varying pressures.When the pressure decreased,the increased relative signal intensity of CO4-significantly influenced the detection sensitivity of the characteristic product ion[MeSA·O2]-.Based on differences in ion mobility(k0),the delay time for the opening of TPG2 was adjusted to selectively inject CO-3 and CO-4 in the drift region 2.Independent characterization of the reactivity of these reactant ions with MeSA in the reaction region confirmed that CO4-exhibited superior reactivity toward MeSA.The theoretical model revealed an Arrhenius plot for the ion-molecule reaction between CO4-and MeSA,showing a positive correlation between the reaction rate coefficient(k)and temperature,the activation energy Ea was 62.45 kJ/mol.Furthermore,controlling parameters such as pressure or temperature significantly influenced the progression of this ion-molecule reaction,demonstrating the technical advantages of PI-tandem-IMS in mechanistic studies and regulation of ion-molecule reactions.

The resolving power and sensitivity are critical for on-site detection of hazardous chemicals using stand-alone ion mobility spectrometry(IMS).However,improving the sensitivity and resolving power of IMS has long been a prominent research hot spot.In the commonly used IMS based on the Bradbury-Nielsen gate(BNG),the gating voltage difference(GVD)applied between the two sets of grid wires affects the electric field distribution in the ionization region and the drift region.This,in turn,influences the spatial distribution and temporal width of the injected ion swarm,and has an impact on the ion mobility discrimination,sensitivity,and resolving power of the instrument.This study showed that increasing the GVD could induce an ion converging effect,boosting the ion number density in front of the BNG by nearly 300％.To simultaneously utilize temporal compression and ion converging effects,a novel BNG controlling mode was proposed by adding a chopping state to the conventional controlling mode.This chopping state reduced the mobility discrimination effects between ions with mobility differences up to about 0.90 cm2/(V·s)to 1/22 of their original value.When analyzing hazardous chemical mixtures using the novel BNG controlling mode,compared with conventional mode,the signal intensity of low-mobility methyl salicylate ions(MS·O2)-increased by 18-fold while the resolving power maintained around 100,and the detection limit for MS was improved from 3.75 μg/L to 97 ng/L.This novel BNG controlling mode only added a potential wave to the low voltage wires,with no requirement of changing the structure of the drift tube,and was easy to apply to existing commercial instruments.

Objective To explore the efficacy of auricular plaster therapy with press needles combined with eszopiclone tablets in the treatment of patients with post-stroke insomnia(PSI)and its effect on the serum levels of brain-derived neurotrophic factor(BDNF)and interleukin-1β(IL-1β).Methods A total of 120 PSI patients were selected as the study subjects and randomly divided into group A(60 cases)and group B(60 cases).Group A was treated with eszopiclone tablets,while group B was treated with auricular plaster therapy with press needles combined with eszopiclone tab-lets.Both groups received continuous treatment for 4 weeks.The clinical efficacy,sleep status,in-flammatory factors,neurotrophic factors,psychological state,quality of life,and adverse reactions were compared between the two groups after treatment.Results After treatment,the total clinical effective rate in the group B was 93.33％,which was higher than 80.00％in the group A(P＜0.05).The levels of tumor necrosis factor-α(TNF-α),IL-1β,IL-6,norepinephrine(NE),the scores of Pittsburgh Sleep Quality Index(PSQI),Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),and Self-rating Scale of Sleep(SRSS)in both groups were lower than those before treatment(P＜0.05),and the above indicators in the group B were lower than those in group A,with statistically significant differences(P＜0.05).The levels of 5-hydroxytryptamine(5-HT),BDNF,and the scores of Stroke-Specific Quality of Life Scale(SS-QOL)were higher than those be-fore treatment,and the levels in the group B were higher than those in the group A,with statistically significant differences(P＜0.05).There was no statistically significant difference in the total inci-dence of adverse reactions between the two groups(P＞0.05).Conclusion Auricular plaster therapy with press needles combined with eszopiclone tablets can improve the clinical efficacy,sleep status,and quality of life in PSI patients,reduce the levels of BDNF and IL-1β,alleviate anxiety and depression,and have high safety.

Objective To explore the value of neutrophil extracellular trapping nets(neutrophil extracellular traps,NETs)in the diagnosis and monitoring of acute ischemic stroke(acute ischemic stroke,AIS).Methods From June 2023 to February 2024,63 patients newly diagnosed with AIS at the Ganmei Hospital Affiliated with Kunming Medical University were selected as the experimental group,and 58 non-AIS individuals matched in gender,age,and other characteristics were selected as the control group.The NETs levels of patients in the experimental group were detected before and 7-10 days after treatment,and general clinical data and related laboratory results were statistically analyzed.Results The experimental group showed significantly higher levels of NEUT,LYMPH,MONO,EO,FDP,D-dimer,and NETs compared to the control group(P<0.05).The NETs levels before treatment were significantly higher than those at 7～10 days after treatment and in the control group(P<0.05).The NETs levels 7～10 days after treatment were significantly higher than those in the control group(P<0.05).NEUT,MONO,FDP,D-dimer,and NIHSS scores were positively correlated with the pre-treatment NETs levels(P<0.05).Elevated serum NETs levels were associated with AIS risk factors(P<0.05).The combined diagnostic value of NEUT,D-dimer,and NETs for AIS was superior to other indicators.Conclusion NETs are highly expressed in the serum of patients with acute ischemic stroke,and serum NETs have certain value in the auxiliary diagnosis and monitoring of acute ischemic stroke.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

Objective:To analyze the epidemiological characteristics of rabies in China from 2007 to 2023, and to provide reference evidence for tailoring strategies to facilitate the elimination of rabies in the country.Methods:Case data from 2007 to 2023 were obtained from China′s National Notifiable Infectious Disease Reporting Information System, and the spatial, temporal, and demographic features of cases were analyzed.Results:From 2007 to 2023, a total of 18 751 human rabies cases were reported in China, with an average annual incidence rate of 0.08 per 100 000. The average annual percentage change (AAPC) in incidence rate was -18.58% (95% CI: -21.32% to -15.75%, P<0.05), with three significant turning points in 2011, 2018, and 2021. Based on the trend of the epidemic, Chinese provinces can be roughly divided into five categories. The geographical range affected by rabies has decreased from 23 provinces and 984 counties (districts) in 2007 to 17 provinces and 101 counties (districts) in 2023. Since 2019, the high-incidence counties (districts) have been mainly concentrated in the southwestern part of Hunan, the southern part of Henan, and the western part of Anhui. Fourteen provinces have reported no cases for at least two consecutive years. Males (70.24%) and farmers (72.18%) were the main affected groups, and the proportion of cases aged 65 and above increased from 17.43% in 2007 to 36.07% in 2023. Conclusions:The incidence of rabies in China has changed from endemic in many areas to sporadic, with the remaining endemic regions mainly located in parts of the middle and lower reaches of the Yangtze River. The main vulnerable groups are middle-aged and elderly farmers. The current prevention and control measures can effectively curb the transmission of rabies, but the decline of cases has slowed down recently.