ObjectiveAs the central hub of the classical visual pathway, the primary visual cortex not only encodes and processes visual information but also establishes dense neural circuit connections with higher-order cognitive brain regions. Numerous studies have shown that 40 Hz flicker stimulation can induce γ oscillations in the brain and significantly improve learning and cognitive impairments in patients with neurodegenerative diseases. Moreover, flickering light phenomena naturally occur in daily environments. Given that the primary visual cortex serves as the brain’s first cortical hub for receiving visual input, it is essential to comprehensively understand how non-invasive light flicker stimulation modulates its information processing mechanisms. This study systematically investigates the effects of non-invasive light flicker stimulation at different frequencies on the functional properties of neurons in the primary visual cortex of adult mice, aiming to uncover how such stimulation modulates this region and, consequently, affects overall brain function. MethodsThree groups of adult mice (approximately 12 weeks old) were exposed to light flicker stimulation at frequencies of 20 Hz, 40 Hz, and 60 Hz, respectively, for a duration of two months. A control group was exposed to the same light intensity without flickering. Following the stimulation period, in vivo multi-channel electrophysiological recordings were conducted. During these recordings, anesthetized mice were presented with various types of moving sinusoidal light gratings to assess the effects of different flicker frequencies on the functional properties of neurons in the primary visual cortex. ResultsThe experimental results demonstrate that two months of light flicker stimulation at 20 Hz, 40 Hz, and 60 Hz enhances the orientation tuning capabilities of neurons in the primary visual cortex. Specifically, 40 Hz and 60 Hz stimulation improved contrast sensitivity, whereas 20 Hz had no significant effect. Further analysis revealed that all three frequencies reduced neuronal response variability (as measured by the Fano factor), increased the signal-to-noise ratio, and decreased noise correlation (r_sc) between neurons. ConclusionNon-invasive light flicker stimulation enhances orientation tuning (e.g., orientation bias index) and contrast sensitivity (e.g., contrast threshold and C₅₀) in neurons of the primary visual cortex. This enhancement is likely due to improved information processing efficiency, characterized by reduced neuronal variability and increased signal-to-noise ratio. These findings suggest that the primary visual cortex can achieve precise and efficient information encoding in complex lighting environments by selectively adapting to different flicker frequencies and optimizing receptive field properties. This study provides new experimental evidence on how various types of light flicker influence visual perception and offers insights into the mechanisms through which specific frequencies enhance brain function.

Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93％and a HCV positive rate of 0.54％.The positive rate of HCV in male and female patients were 0.60％and 0.48％,respectively,with a statistically sig-nificant difference(x2=47.18,P＜0.001).The HCV positive rate in the 50-＜60 age group was the highest(0.76％),followed by the 40-＜50 age group(0.71％).Difference among all age groups was statistically signifi-cant(x2=696.74,P＜0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57％;775 patients were infected with HCV,with a positive rate of 2.21％.In 2020,HCV positive rates in hospitals of different scales were 0.46％-0.63％,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P＜0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19％-0.81％,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06％-0.82％,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95％and 3.48％,respectively.Followed by departments of orthopedics(7.72％),gastroenterology(3.77％),nephrology(3.57％)and general intensive care unit(ICU,3.10％)in 2003,as well as departments of gastroenterology(1.35％),nephrology(1.18％),endocrinology(0.91％),and general intensive care unit(ICU,0.79％)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.

Objective To explore the feasibility of quantitative EEG parameters for prognostic prediction of patients with severe aneurysmal subarachnoid hemorrhage(SaSAH)90 d after the onset of the disease.Methods Patients with SaSAH admitted to the Neurosurgical Intensive Care Unit(NSICU)of Henan Provincial People's Hospital from September 2022 to September 2023 were prospectively consecutively enrolled,and baseline data were collected,including age,gender,medical history(hypertension,diabetes mellitus,coronary artery disease,and stroke),history of smoking,history of drinking,location of aneurysm(anterior circulation,posterior circulation),surgical modality(craniotomy,interventional surgery,hybrid surgery),Hunt-Hess classification,Glasgow coma scale(GCS)score,acute physiology and chronic health status scoring system Ⅱ(APACHE Ⅱ)score,subarachnoid hemorrhage early brain edema score(SEBES),first randomized blood glucose level after admission to NSICU,lactate level,and duration of NSICU stay.Quantitative EEG monitoring was performed in all patients within 48 h after admission to the NSICU,and amplitude-integrated electroencephalogram(aEEG)upper and lower boundaries,95％spectral edge frequency(SEF95),α change,(δ+θ)to(α+β)power ratio(DTABR),brain symmetry index(BSI),and spectral entropy were collected.Based on modified Rankin scale(mRS)scores 90 d after onset,patients were categorized into good prognosis(mRS score 2 points)and poor prognosis(mRS score 3-6 points)groups.Spearman rank correlation was used to analyze the correlation between quantitative EEG parameters and mRS scores in SaSAH patients.Multifactorial Logistic regression analysis was used to screen for correlates of poor prognosis,and receiver operating characteristic(ROC)curves were plotted to evaluate the efficacy of each index in predicting patients'poor prognosis.Results(1)A total of 72 patients with SaSAH were included,with 47 in the poor prognosis group and 25 in the good prognosis group,and the poor prognosis rate at 90 d after the onset was 65.3％.There was no statistically significant difference between the two groups in terms of gender,age,hypertension,diabetes mellitus,coronary artery disease,history of stroke,history of smoking,history of drinking,location of aneurysm,surgical modality,lactate level,and length of hospitalization in the NSICU(all P＞0.05);the differences between the Hunt-Hess grading,SEBES,and random blood glucose were statistically significant upon comparison(all P＜0.05).Compared with the good prognosis group,the changes of aEEG upper and lower boundary,SEF95,α change and spectral entropy were lower in the poor prognosis group,but DTABR and BSI were higher(all P＜0.05).(2)Spearman rank correlation analysis showed that the upper border of aEEG(r=-0.41,P＜0.01),lower border of aEEG(r=-0.54,P＜0.01),SEF95(r=-0.46,P＜0.01),α change(r=-0.53,P＜0.01)and spectral entropy(r=-0.39,P＜0.01)were negatively correlated with the mRS scores of SaSAH patients,and DTABR(r=0.52,P＜0.01)and BSI(r=0.33,P＜0.01)were positively correlated with poor prognosis of SaSAH patients.(3)The results of multifactorial Logistic regression analysis showed that Hunt-Hess grading(level Ⅳ vs.Ⅲ:OR,1.203,95％CI 1.005-1.441,P=0.044;level V vs.Ⅲ:OR,1.661,95％CI 1.109-2.487,P=0.014),SEBES(OR,1.647,95％CI 1.050-2.586;P=0.030),aEEG lower border(OR,0.687,95％CI 0.496-0.953l;P=0.024),SEF95(OR,0.436,95％CI0.202-0.937;P=0.034),α change(OR,0.368,95％CI0.189-0.717;P=0.003),DTABR(OR,1.324,95％CI 1.064-1.649;P=0.012),and BSI(OR,1.513,95％CI 1.026-2.231;P=0.036)were influencing factors of poor prognosis in SaSAH patients.ROC curve analysis showed that all of the above seven indicators had a certain predictive value for poor prognosis in SaSAH patients,among which the area under the curve of DTABR was the highest as 0.862(95％CI 0.761-0.932),with sensitivity 85.11％and specificity 80.00％.Conclusion Quantitative EEG parameters aEEG lower border,SEF95,α change,DTABR,and BSI may have certain predictive value for the short-term prognosis of SaSAH patients,which needs to be further confirmed in future multi-center large-sample studies.

Objective:To construct a prognostic predictive model for patients with moderate to severe traumatic brain injury (msTBI) based on regional cerebral oxygen saturation (rScO 2) and transcranial Doppler ultrasound (TCD) monitoring parameters and validate its effectiveness. Methods:A retrospective cohort study was conducted to analyze the clinical data of 161 patients with msTBI who were treated at Henan Provincial People′s Hospital from January 2021 to December 2022, including 104 males and 57 females, aged 19-76 years [(53.1±12.8)years]. Glasgow coma scale (GCS) score was 3-12 points [(7.0±1.9)points]. Both rScO 2 and TCD monitoring were performed. Based on the results of prognostic evaluation of patients with the modified Rankin scale (mRS) score at 90 days after discharge, the patients were divided into good prognosis group (mRS score≤3 points, n=88) and poor prognosis group (mRS score of 4-6 points, n=73). The following data of the two groups were collected: the general data, clinical data, rScO 2 monitoring parameters and TCD monitoring parameters. Univariate analysis was employed to compare the differences in the relevant prognostic indicators. Multivariate Logistic stepwise regression analysis was conducted to determine the predictors of poor prognostic outcomes in msTBI patients and regression equations were constructed. A nomogram predictive model based on regression equations was drawn with R language. The discriminability of the model was evaluated by drawing the receiver operating characteristic (ROC) curve, to calculate the area under the curve (AUC), sensitivity, specificity, and Jordan index of the model, and measuring the consistency index (C index). Hosmer-Lemeshow (H-L) goodness of fit test was conducted to evaluate the fit of the model, and the calibration curve was used to evaluate the calibration degree of the model. Decision curve analysis (DCA) was employed to evaluate the clinical benefit and applicability of the model. Results:There were significant differences between the two groups in the clinical data (cerebral hernia formation, GCS on admission, acute physiology and chronic health evaluation II (APACHE II) score on admission, Rotterdam CT score on admission, oxygenation index on admission, mean arterial pressure on admission), rScO 2 monitoring parameters (mean rScO 2, maximum rScO 2, rScO 2 variability), TCD monitoring parameters [peak systolic blood flow velocity (Vs), average blood flow velocity (Vm), pulse index (PI)] ( P<0.05 or 0.01). The results of multivariate Logistic stepwise regression analysis showed that cerebral hernia formation ( OR=9.28, 95% CI 3.40, 25.33, P<0.01), Rotterdam CT score on admission ( OR=1.92, 95% CI 1.32, 2.78, P<0.01), rScO 2 variability ( OR=4.66, 95% CI 1.74, 12.43, P<0.01), Vs ( OR=0.66, 95% CI 0.61, 0.75, P<0.01) and PI ( OR=20.07, 95% CI 4.17, 16.50, P<0.01) were predictive factors for poor prognosis in patients with msTBI. The regression equation was constructed with the forementioned 5 variables: Logit [ P/(1- P)]=2.23×"brain hernia formation"+0.65×"Rotterdam CT score on admission"+1.54×"rScO 2 variability"-0.42×"Vs"+3.00×"PI"-6.75. The AUC of prognostic predictive model of msTBI patients was 0.90 (95% CI 0.85, 0.95), with the sensitivity and specificity of 86.3% and 78.4%, Youden index of 0.65 and C index of 0.90. H-L goodness of fit test showed that the calibration degree of the predictive model was accurate ( χ2 =12.58, P>0.05). The average absolute error of the calibration curve was 0.025, showing that the calibration of the model was good. DCA results showed that this model had higher net return rate than the reference model within the probability range of risk threshold (20%-100%), with good clinical application value in evaluating the risk of poor prognosis of msTBI patients. Conclusion:The model constructed based on the combination of rScO 2 and TCD monitoring parameters (rScO 2 variability, Vs and PI) with multiple clinical indicators (cerebral hernia formation and Rotterdam CT score on admission) has good predictive performance for the prognosis of msTBI.

Objective To investigate the correlation between the expression of Toll-like receptor 4(TLR4)and chitosanase 3-like protein 1(CHI3L1)in colon cancer tissue and the prognosis of patients after radical surgery.Methods A total of 152 patients who underwent radical colon cancer surgery in our hospital from January 2017 to May 2018 were collected and divided into the good prognosis group(n=97)and the poor prognosis group(n=47)according to the 5-year survival status after surgery.Immunohistochemical staining was applied to detect the expression levels of TLR4 and CHI3L1 in colon cancer tissues and adjacent tissues;the correlation between the expression of TLR4 and CHI3L1 in colon cancer tissue and the prognosis of patients was analyzed,and the influencing factors for prognosis of colon cancer patients were analyzed.Results The positive expression rates of TLR4 and CHI3L1 in colon cancer tissues were obviously higher than those in adjacent tissues(P<0.05).The expression of TLR4 in colon cancer tissue was related to the degree of tumor differentiation,clinical staging,and lymph node metastasis of colon cancer patients(P<0.05),the expression of CHI3L1 was related to the tumor diameter,degree of tumor differentiation,clinical staging,and lymph node metastasis of colon cancer patients(P<0.05).Compared with the good prognosis group,the poor prognosis group had higher proportions of patients with poorly differentiated tumor,clinical stageⅢ,lymph node metastasis,and positive expression of TLR4 and CHI3L1(P<0.05).The 5-year survival rate of patient with TLR4 positive expression was 60.38%,which was lower than that of 86.84% of patients with TLR4 negative expression(χ2=9.104,P<0.05);the 5-year survival rate of patients with CHI3L1 positive expression was 58.06%,which was lower than that of 84.31% of patients with CHI3L1 negative expression(χ2=10.935,P<0.05).The positive expression of TLR4 and CHI3L1,poorly differentiated tumor,clinical stage Ⅲ,and lymph node metastasis were the independent risk factors for the prognosis of colon cancer patients(P<0.05).Conclusion TLR4 and CHI3L1 are related to the occurrence and clinicopathological features of colon cancer,and the positive expression of TLR4 and CHI3L1 in colon cancer tissues is not conducive to the prognosis of patients,so both of them are expected to become clinical treatment targets.

The aim of this study was to investigate the impact of overexpressing 70-kD heat shock pro-teins(Hsp70)on glycolysis in C2C12 cells during myogenesis and adipogenesis.Using C2C12 cells as the research material,adenovirus was used to overexpress the Hsp70 gene,and changes in the expression of glycolytic genes were detected using fluorescence quantitative PCR and Western blotting techniques.The study indicated that during C2C12 cell myogenic differentiation,the expression trend of the Hsp70 gene was consistent with that of Gsk3β,Pkm,Prkag3,Pfkm,and Hk-2 genes,suggesting a relationship between Hsp70 and the glycolytic pathway during myogenic differentiation.Overexpression of Hsp70 in the later stages of myogenic differentiation significantly upregulated the expression of Gsk3β,Pkm,Prk-ag3,and Pfkm genes(P＜0.05),with no significant impact on Hk-2 gene expression(P＞0.05).Dur-ing C2C12 cell adipogenic induction,the expression trend of the Hsp70 gene was similar to that of Gsk3β,Pkm,Prkag3,Pfkm,and Hk-2 genes,indicating a relationship between Hsp70 and the glycolytic path-way during adipogenic induction.Following Hsp70 overexpression,in the later stages of adipogenic in-duction,the number of lipid droplets was significantly higher compared to the control group,with a sig-nificant upregulation of Gsk3β,Pkm,Prkag3,and Pfkm gene expression(P＜0.05),while Hk-2 gene expression was not significantly affected(P＞0.05).In conclusion,Hsp70 in C2C12 cells in myogenic and adipogenic states promoted the breakdown of glycogen into 6-phospho-glucose,thereby enhancing the glycolytic pathway,providing insights into the functional role of the Hsp70 gene in glycolysis in C2C12 cells.

Neonatal necrotizing enterocolitis(NEC)is the most common inflammatory intestinal disease in preterm infants,with a high incidence and mortality rate.The etiology and mechanisms of NEC are not yet fully understood,and multiple factors contribute to its occurrence and development.Recent studies have found that anemia is a risk factor for NEC in neonates,but the specific pathogenic mechanism remains unclear.This article reviews recent research on the relationship between anemia and NEC,providing a reference for further understanding the impact of anemia on intestinal injury and its association with NEC.

Atrial fibrillation(AF)is one of the most common arrhythmias in clinical practice,accounting for about 1/3 of all hospitalized arrhythmic patients.With the increasing morbidity of AF and aggravation of aging of popula-tion,the number of AF patients will increase year by year.Long-term AF can cause a series of adverse clinical consequences such as stroke and heart failure,among which apoplexy is the most important cause of death and disa-bility of AF,while stroke is the most common manifestation of it.Therefore,the prevention of stroke in AF pa-tients through anticoagulation therapy has become the core strategy of AF treatment.In China,a considerable number of AF patients have not received effective anticoagulant therapy,which seriously affects the prognosis and normal life of AF patients.At present,there are many kinds of anticoagulant drugs.This article reviews the re-search progress of anticoagulant drugs.

Seven compounds were isolated from Onychium japonicum by macroporous resin, silica gel, ODS, Sephadex LH-20 column chromatography and semi-preparative HPLC. Their structures were identified by NMR, MS and other spectroscopic methods as onychone A (1), quercetin (2), quercetin-3-O-α-L-rhamnoside (3), kaempferol-7-O-β-D-glucopyranoside (4), kaempferol-3-O-α-L-rhamnopyranoside (5), (-)-prunin (6), and norathyriol (7). Compound 1 is a novel macrocyclic flavonoid, and all the others are reported from this plant for the first time. In vitro cytotoxic activities of compounds 1-7 were evaluated by MTS testing with five cancer cell lines. Compound 7 exhibited weak cytotoxicity against tumor cell lines A549, SMMC-7721, and SW480.

OBJECTIVES: To establish a rapid and nondestructive identification method for human body fluid stains and non-biological stains using three-dimensional fluorescence spectroscopy. METHODS: The collected three-dimensional fluorescence spectrum data of human saliva, 3% blood, coffee and Fanta^® stains were processed with dimensionality reduction. After wavelet transform, spectral denoising and feature extraction, the classification formula was established. The Fisher discriminant was used for spectrum matching and recognition to establish the analysis method to distinguish stain types. RESULTS: According to the results of data training and comparison, all the recognition accuracies of Fanta^®, coffee, saliva and blood were more than 91.39%. Among them, saliva reached 100% recognition accuracy. CONCLUSIONS Three-dimensional fluorescence spectroscopy is a potential method for rapid and nondestructive identification of biological and non-biological stains.
Humans ; Forensic Medicine/methods* ; Coloring Agents/analysis* ; Coffee ; Spectrometry, Fluorescence ; Body Fluids/chemistry*