This study aims to investigate the therapeutic effect and mechanism of Daotan Xixin Decoction on APP/PS1 mice. Twelve APP/PS1 male mice were randomized into four groups: APP/PS1 and low-, medium-, and high-dose Daotan Xixin Decoction. Three C57BL/6 wild-type mice were used as the control group. The learning and memory abilities of mice in each group were examined by the Morris water maze test. The pathological changes of hippocampal nerve cells were observed by hematoxylin-eosin staining and Nissl staining. Immunohistochemistry was employed to detect the expression of β-amyloid(Aβ)_(1-42) in the hippocampal tissue. The high-dose Daotan Xixin Decoction group with significant therapeutic effects and the model group were selected for high-throughput sequencing. The differentially expressed gene(DEG) analysis, Gene Ontology(GO) analysis, Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis, and Gene Set Variation Analysis(GSVA) were performed on the sequencing results. RT-qPCR and Western blot were conducted to determine the mRNA and protein levels, respectively, of some DEGs. Compared with the APP/PS1 group, Daotan Xixin Decoction at different doses significantly improved the learning and memory abilities of APP/PS1 mice, ameliorated the neuropathological damage in the CA1 region of the hippocampus, increased the number of neurons, and decreased the deposition of Aβ_(1-42) in the brain. A total of 1 240 DEGs were screened out, including 634 genes with up-regulated expression and 606 genes with down-regulated expression. The GO analysis predicted the biological processes including RNA splicing and protein folding, the cellular components including spliceosome complexes and nuclear spots, and the molecular functions including unfolded protein binding and heat shock protein binding. The KEGG pathway enrichment analysis revealed the involvement of neurodegenerative disease pathways, amyotrophic lateral sclerosis, and splicing complexes. Further GSVA pathway enrichment analysis showed that the down-regulated pathways involved nuclear factor-κB(NF-κB)-mediated tumor necrosis factor-α(TNF-α) signaling pathway, UV response, and unfolded protein response, while the up-regulated pathways involved the Wnt/β-catenin signaling pathway. The results of RT-qPCR and Western blot showed that compared with the APP/PS1 group, Daotan Xixin Decoction at different doses down-regulated the mRNA and protein levels of signal transducer and activator of transcription 3(STAT3), NF-κB, and interleukin-6(IL-6) in the hippocampus. In conclusion, Daotan Xixin Decoction can improve the learning and memory abilities of APP/PS1 mice by regulating the STAT3/NF-κB/IL-6 signaling pathway.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Male ; Alzheimer Disease/metabolism* ; Computational Biology ; Mice, Inbred C57BL ; High-Throughput Nucleotide Sequencing ; Amyloid beta-Protein Precursor/metabolism* ; Hippocampus/metabolism* ; Mice, Transgenic ; Presenilin-1/metabolism* ; Humans ; Memory/drug effects* ; Maze Learning/drug effects* ; Amyloid beta-Peptides/genetics* ; Disease Models, Animal

OBJECTIVE: To explore the clinical features of the sepsis in immunocompromised hosts and establish an early warning equation. METHODS: A retrospective study was conducted on sepsis patients admitted to the intensive care unit (ICU) of Binzhou Medical University Hospital from October 2011 to October 2022. General information, infection site, etiology results and drug susceptibility, clinical symptoms, inflammatory indicators, acute physiology and chronic health status evaluation II (APACHE II), sequential organ failure assessment (SOFA), incidence of immune paralysis, and outcome during hospitalization were collected. Based on whether they met the diagnostic criteria for immunocompromised hosts, patients were divided into immunocompromised group and immune normal group. The clinical information of the two groups were compared. Multivariate Logistic regression was used to analyze the risk factors of patients with immunocompromised sepsis and the regression equation model was initially established. Omnibus test and Hosmer-Lemeshow test were used to evaluate the model. RESULTS: A total of 169 patients with sepsis were included, including 61 in the immunocompromised group and 108 in the normal immune group. The top 3 infection sites in the immunocompromised group were bloodstream infection, pulmonary infection and abdominal infection. The top 3 infection sites in the normal immune group were pulmonary infection, bloodstream infection and abdominal infection. The infection rate of Gram-negative bacteria in the immunocompromised group was significantly lower than that in the normal group [49.2% (30/61) vs. 64.8% (70/108), P < 0.05]. The infection rate of Gram-positive bacteria [27.9% (17/61) vs. 13.9% (15/108)] and multidrug-resistant bacteria [54.1% (33/61) vs. 29.6% (32/108)] were significantly higher than those in normal immune group (both P < 0.05). In terms of clinical symptoms, the proportion of fever in the immunocompromised group was significantly lower than that in the immune normal group [49.2% (30/61) vs. 66.7% (72/108), P < 0.05]. Neutrophil count (NEU) and neutrophil percentage (NEU%) in the immunocompromised group were significantly lower than those in the normal immune group. Lymphocyte percentage (LYM%), neutrophil/lymphocyte ratio (NLR), C-reactive protein (CRP), procalcitonin (PCT), APACHE II score, combined shock rate, incidence of immune paralysis, and mortality during hospitalization in the immunocompromised group were significantly higher than those in the normal immune group. Logistic regression analysis showed that NLR, CRP and PCT were risk factors for patients with immunocompromised sepsis (all P < 0.05). The above indicators were used as covariables to construct a Logistic regression equation, that was, Logit (P) = 0.025X₁+0.010X₂+0.013X₃-2.945, where X₁, X₂ and X₃ represent NLR, CRP and PCT respectively. Omnibus test and Hosmer-Lemeshow test show that the model fits well and has certain early warning value. CONCLUSIONS Patients with immunocompromised sepsis have more intense inflammatory response, with Gram-negative bacteria being the predominant pathogen, and a higher incidence of Gram-positive bacterial infections and multi-drug resistant infections. The severity of the disease, in-hospital mortality, the incidence of shock and the incidence of immune paralysis after sepsis were significantly higher. NLR, CRP and PCT were independent risk factors for sepsis in immunocompromised hosts. The regression equation constructed based on this may have early warning significance for patients with immunocompromised sepsis.
Humans ; Sepsis/immunology* ; Immunocompromised Host ; Retrospective Studies ; Risk Factors ; Intensive Care Units ; Logistic Models ; Male ; APACHE ; Female ; Middle Aged ; Aged

OBJECTIVE: To investigate hypertension (HTN) trends, key risk factors, and gender disparities in rural China, and to propose targeted strategies for improving HTN control in resource-limited settings. METHODS: This longitudinal study used data from the Henan Rural Cohort Study, including baseline (2015-2017; n = 39,224) and follow-up (2018-2022; n = 28,621) participants. HTN was defined as systolic/diastolic blood pressure ≥ 140/90 mmHg, self-reported diagnosis, or use of antihypertensive medication. Severity was classified using a 7-tier blood pressure (BP) staging system (optimal, normal, high normal, and HTN stages 1-4). A generalized linear mixed-effects model (GLMM) identified associated risk factors. RESULTS: HTN prevalence increased modestly from 32.7% (95% CI: 32.2-33.2) to 33.9% (95% CI: 33.3%-34.4%). Awareness and treatment improved from 20.1% to 25.3%, and from 18.8% to 24.4%, respectively, but control rates remained low (6.2% to 12.3%). After adjustment, women had a 1.53-fold higher HTN risk than men ( OR = 1.53, 95% CI: 1.43-1.63), revealing gender-specific trends. Key risk factors included alcohol use ( OR = 1.37, 95% CI: 1.27-1.47) and overweight status ( OR = 1.76, 95% CI: 1.66-1.86). BP staging showed an increase in optimal BP (42.3% to 45.8%), but stagnant management of advanced HTN stages. CONCLUSION Hypertension in rural China is shaped by behavioral risk factors and healthcare access gaps. Gender-sensitive, community-based interventions, including task-shifting models, are necessary to mitigate the growing burden of hypertension.
Humans ; Hypertension/etiology* ; China/epidemiology* ; Female ; Male ; Rural Population/statistics & numerical data* ; Prevalence ; Risk Factors ; Middle Aged ; Adult ; Aged ; Longitudinal Studies ; Sex Factors ; Cohort Studies ; East Asian People

Endoplasmic reticulum is an important organelle in eukaryotic cells,which is responsible for the folding,processing and transportation of secretory proteins.A variety of stimuli inside and outside cells can lead to the accumulation of misfolded or unfolded proteins in the endoplasmic reticulum,resulting in abnormal structure and function of the endoplasmic reticulum,which is called endoplasmic reticulum stress(ERS).Endoplasmic reticulum autophagy is an important endogenous mechanism to alleviate ERS.It is often considered as a cell protective procedure,which participates in many important physiological processes,such as metabolism,immune response,inflammatory response and cell proliferation.Endoplasmic reticulum autophagy is an important endogenous protective mechanism to alleviate endoplasmic reticulum stress and restore the endoplasmic reticulum homeostasis,through eliminating redundant and disabled endoplasmic reticulum membrane and macromolecular protein complexes,which is critical to cell function and fate.This paper reviews the types of endoplasmic reticulum autophagy,related specific receptors,main regulatory mechanisms,and its role and significance in the related diseases.

Objective To explore the effect of a R language-based autoregressive integrated moving average(ARIMA)model for predicting the consumption of medical consumables.Methods The monthly consumption data of a certain type of pre-filled flush syringe from July 2018 to June 2023 was selected as the sample data,which underwent smoothness test and difference operation with R language.An ARIMA model was established and the optimal model was determined according to the Akaike and Bayesian information criteria.The corresponding data of the third quarter of 2023 was used as the validation set to predict the consumption,and the prediction result was compared with the actual values to evaluate the prediction effect of the ARIMA model.Results The ARIMA model with the best fitting was ARIMA(0,1,1)(1,0,0)12,all the predicted data were within 95％confidence interval,and its mean absolute percentage error MAPE was 9.92％.P-value proved to be higher than 0.05 when the residual series were tested using the Ljung-Box statistics,which meant the prediction result was satisfactory.Conclusion The R language-based ARIMA model behaves well in predicting the consumption of medical consumables,and provides references for demand planning,budgeting,purchasing and management of medical consumables.[Chinese Medical Equipment Journal,2024,45(10):84-87]

Infrared spectroscopy technology has many advantages such as high efficiency and non-destructiveness,and has an important research and application value in the field of petroleum pollutant classification and detection.In this study,a petroleum pollutant classification method by combing the discrete wavelet transform(DWT)algorithm and a one-dimensional convolutional neural network based on the Inception module(Inception-1D-CNN)was proposed.Firstly,the DWT algorithm was used to denoise the original infrared spectral data to eliminate the interference information caused by experimental environment,instrument error and manual operation.Then,the inception-1D-CNN model was used to obtain multi-scale infrared spectroscopy feature information,and then classify the petroleum pollutants.Experimental results showed that compared with preprocessing methods such as standard normal variable(SNV),adaptive iteratively reweighted penalized least squares(AirPLS),and Savitzky-Golay smoothing(S-G),the prediction accuracy of the DWT algorithm combined with the 1D-CNN model with a convolutional kernel size of 3×1 was 86.6%,which was 6.6%,6.6%and 3.3%higher,respectively.The prediction accuracy of DWT algorithm combined with 1D-CNN model with a convolutional kernel size of 5×1 was 93.3%,which was 10.0%,7.0%and 3.3%higher,respectively.The prediction accuracy of the DWT algorithm combined with the 1D-CNN model with a convolutional kernel size of 7×1 was 90.0%,which was 6.7%,10.0%and 3.4%higher,respectively.The prediction accuracy of the DWT algorithm combined with the inception-1D-CNN model was 100.0%,which was 10.0%,10.0%and 3.4%higher,respectively.Therefore,the DWT algorithm combined with the inception-1D-CNN model could accurately classify and predict petroleum pollutants,and provided a certain basis for the subsequent treatment of oil spills on the sea surface.

Objective To investigate the clinical value of multimodal ultrasonography combined with clinical indicators in predicting the progression of ischemic stroke(IS).Methods A total of 134 patients with IS admitted to Third People's Hospital of Yunnan Province from January 2020 to October 2022 were selected as study objects and were divided into progressive ischemic stroke(PIS)group(n=20)and non-progressive ischemic stroke(NPIS)group(n=114)according to the National Institutes of Health Stroke Scale(NIHSS)score.The clinical indicators,multi-modal ultrasonic image manifestations and related parameters of the two groups were counted,the influencing factors of PIS were screened by Logistics,the nomogram model was drawn,and the predictive efficiency of the nomogram model was evaluated by ROC curve and calibration curve.Results There were significant differences in age,baseline nutritional risk index(GNRI)score,baseline homocysteine(Hcy)and baseline uric acid(UA)between the two groups(P<0.05).The peak time(TTP),peak intensity(PI),the area under the curve(AUC),carotid plaque enhancement mode,the mean value of maximum elastic modulus(MEmax)and mean value of minimum elastic modulus(MEmin)were compared between the two groups,and the differences were statistically significant(P<0.05).Logistic analysis showed that baseline GNRI score,baseline UA,TTP,PI,AUCTC,carotid plaque enhancement pattern,MEmax and MEmin were the influencing factors of PIS(P<0.05).Based on the above factors,the nomogram model was drawn.ROC curve and calibration curve showed that the model had good prediction efficiency,and the prediction efficiency was in good agreement with the reality.Conclusion The influencing factors of PIS include baseline GNRI score,baseline UA,TTP,PI,AUCTC,carotid plaque enhancement pattern,MEmax,MEmin,and the neagram model based on the above factors has good differentiation and accuracy.

Objective To investigate the efficacies of proximal femoral nail anti-rotation(PFNA)internal fixation in traction bed supine position and non-traction bed lateral position in the treatment of elderly unstable femoral intertrochanteric fractures.Methods The clinical data of patients with unstable femoral intertrochanteric fractures treated with PFNA internal fixation in our hospital were retrospec-tively analyzed,41 patients received treatment in traction bed supine position were included in the supine position group,and 55 patients treated received treatment in non-traction bed lateral position were included in the lateral position group.The perioperative related indicators,surgical reduction,hip Harris score,and incidence of complications in the two groups were analyzed.Results The operation time and incision length of patients in the lateral position group were shorter than those in the supine position group,and the intraoperative blood loss and fluoroscopy times were less than those in the supine position group,with statistically significant differences(P<0.05).There was no significant difference in the anesthesia mode,blood transfusion or hospital stay of patients between the two groups(P>0.05).There was no significant difference in the incidence of postoperative complications of patients between the two groups(P>0.05).There was no significant difference in neck-shaft angle,tip-apex distance or hip Harris score of patients between the two groups(P>0.05).Conclusion PFNA internal fixation in traction bed supine position and non-traction bed lateral position have the same effect in the treatment of elderly unstable femoral intertrochanteric fractures,while the non-traction bed lateral position for treatment has more advantages in shortening operation time,decreasing intraoperative blood loss,and reducing radiation exposure.

Objective To observe the effects of different doses of Kiwi fruit essence on fibroblast growth factor 2(FGF2)and extracellular regulatory protein kinase 1/2(ERK1/2)in lung tissue of rats with pulmonary fibrosis.Methods SD rats were divided into blank control group(0.9％NaCl),model group(0.9％NaCl),positive control group(5 mg·kg-1 prednesone acetate),experimental group-L,-M,-H(60,120,180 mg·kg-1 Kiwi fruit essence),except the blank control group was injected with 0.9％NaCl at one time.The other groups were injected 5 mg·kg-1 bleomycin A5 into the trachea to construct the rat pulmonary fibrosis model.The expressions of FGF2 and ERK1/2 proteins and mRNA were detected by Western blot and real-time fluorescence quantitative polymerase chain reaction.Results The relative expression levels of FGF2 protein in blank control group,model group,positive control group and experimental group-L,-M,-H groups on the day 28 were 0.07±0.01,0.63±0.15,0.14±0.02,0.16±0.01,0.26±0.02 and 0.44±0.03,respectively;the relative expression levels of ERK1/2 protein on day 28 were 0.06±0.00,0.41±0.05,0.09±0.00,0.10±0.00,0.14±0.02,0.21±0.02,respectively;the relative expression levels of FGF2 mRNA on day 28 were 0.98±0.05,9.32±1.03,2.21±0.32,2.87±0.44,5.32±0.21,6.37±0.66,respectively;the relative expression levels of ERK1/2 mRNA on day 28 were 1.00±0.01,9.22±0.85,1.93±0.63,2.36±0.54,5.34±0.44 and 6.85±1.09,respectively.The above indexes in the model group were significantly different from those in the blank control group(all P＜0.05).The above indexes in the positive control group and the experimental-L,-M,-H groups were significantly different from those in the model group(all P＜0.05).Conclusion Kiwi essence may inhibit pulmonary fibrosis by regulating the expression of FGF2 and ERK1/2.

Objective Vascular dementia(VD)is a clinical syndrome caused by various cerebrovascular diseases,including ischemic,hemorrhagic,and acute and chronic hypoxic cerebrovascular diseases,leading to impaired brain function and affecting patients'cognitive ability,daily life,and work abilities.Vascular dementia is a preventable and reversible form of dementia,second only to Alzheimer's disease as the second common cause of dementia.At present,the relevant pathogenesis of vascular dementia is not clear,and there is no clear treatment method.However,its pathogenesis may be related to neuroinflammation,oxidative stress,neuronal damage and white matter lesions.Its main risk factors include genetic factors,hypercholesterolemia,diabetes,hypertension,etc.Neuroinflammatory response plays a major role in the process of secondary brain injury caused by cerebral ischemia,and inflammatory factors lead to an inflammatory cascade reaction that exacerbates damage to the nervous system.Inhibiting the inflammatory pathway and reducing the expression of inflammatory factors can improve the symptoms of vascular dementia patients and animal models,indicating that neuroinflammation may play an important role in the pathogenesis of vascular dementia.This article explores the effects of Buyang Huanwu Decoction on inflammatory factors from the perspective of summarizing relevant literature in recent years.It mainly reviews the pharmacological effects of Buyang Huanwu Decoction on treating vascular dementia,the relationship between inflammatory factor levels and vascular dementia,and the prevention and treatment of vascular dementia by regulating inflammatory factor levels.