ObjectiveTo investigate the expression level of HBV cccDNA in patients in the convalescence stage of hepatitis B virus-related acute-on-chronic liver failure （HBV-ACLF） and its correlation with HBV markers and liver histopathological changes. MethodsA total of 30 patients in the convalescence stage of HBV-ACL who were hospitalized in The Ninth Hospital of Nanchang from January 2015 to October 2023 were enrolled as liver failure group， and 9 patients with chronic hepatitis B （CHB）， matched for sex and age， were enrolled as control group. The content of HBV cccDNA in liver tissue was measured， and its correlation with clinical data and laboratory markers was analyzed. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and a one-way analysis of variance or the Kruskal-Wallis H test was used for comparison between multiple groups； the Fisher’s exact test was used for comparison of categorical data between groups. A Spearman correlation analysis was performed. ResultsThe liver failure group had a significantly lower content of HBV cccDNA in liver tissue than the control group （-0.92±0.70 log₁₀ copies/cell vs -0.13±0.91 log₁₀ copies/cell， t=2.761， P=0.009）. In the liver failure group， there was no significant difference in the content of HBV cccDNA in liver tissue between the HBeAg-positive patients and the HBeAg-negative patients （P>0.05）； there was no significant difference in the content of HBV cccDNA in liver tissue between the patients with different grades （G0-G2， G3， and G4） of liver inflammatory activity （P>0.05）； there was no significant difference in the content of HBV cccDNA in liver tissue between the patients with different stages （S0-S2， S3， and S4） of liver fibrosis （P>0.05）； there was no significant difference in the content of HBV cccDNA in liver tissue between the patients with negative HBV DNA and those with positive HBV DNA （P>0.05）. For the liver failure group， the content of HBV cccDNA in liver tissue was positively correlated with the content of HBV DNA in liver tissue （r=0.426， P=0.043） and was not significantly correlated with the content of HBV DNA in serum （P>0.05）. ConclusionThere is a significant reduction in the content of HBV cccDNA in liver tissue in the convalescence stage of HBV-ACLF. HBV cccDNA exists continuously and stably in liver tissue and can better reflect the persistent infection and replication of HBV than HBV DNA in serum and liver tissue.

Objective To explore the polymorphism of tyrosinase (TYR) and melanocortin 1 receptor (MC1R) genes and their mRNA expression levels in relation to coat-color phenotypes in guinea pigs, providing genetic markers for locating dominant traits in guinea pigs. Methods A total of 57 self-bred ordinary-level guinea pigs were selected and divided into three groups based on coat color: white (n=22), variegated (n=22) and black (n=13). The guinea pigs were euthanized with an overdose of pentobarbital sodium via intraperitoneal injection. DNA was then extracted from the dorsal skin tissue. Polymorphism in the coding sequence (CDS) of the exons of the TYR and MC1R genes in each group was detected by cloning and sequencing. The mRNA expression of the two genes in skin tissues was detected by real-time fluorescent quantitative PCR to investigate the relationship between these genes and guinea pig coat color. Results A single nucleotide polymorphism (SNP) site was found in the CDS region of TYR exon Ⅰ, where the base A was replaced by G. All white guinea pigs had the G/G genotype for TYR, while no deep-colored (variegated and black) guinea pigs exhibited the G/G genotype for TYR. Most deep-colored guinea pigs had the A/A genotype, and a few had A/G genotype. The A/A genotype frequency in black guinea pigs was higher than in variegated guinea pigs. A 2 760 bp sequence deletion was identified in the exon of the MC1R gene, marked as the - gene, with non-deleted samples marked as N gene. Most white guinea pigs had the -/- genotype for MC1R, variegated guinea pigs mainly had the -/N genotype, and black guinea pigs mainly had the N/N genotype, with a few showing the -/N. The TYR gene expression level was higher in white guinea pigs, lower in variegated guinea pigs, and intermediate in black guinea pigs, but there was no significant difference among the three groups (P>0.05). The MC1R gene expression level in white guinea pigs was extremely low, while both variegated and black guinea pigs showed significantly higher levels than white guinea pigs (P<0.01). Black guinea pigs showed significantly higher levels than variegated guinea pigs (P<0.05). ConclusionThe TYR and MC1R genes synergistically regulate coat color of guinea pigs. The G-site mutation in the TYR gene may lead to albinism, and the change of N-site in the MC1R gene affects the depth of the coat color.

BACKGROUND:At present,osteoarthritis has become a major disease affecting the quality of life of the elderly,and the therapeutic effect is poor,often focusing on preventing the disease process,and the pathogenesis of osteoarthritis is still not fully understood.Bioinformatics analysis was carried out to explore the main pathogenesis of osteoarthritis and related mechanisms of gene coding regulation. OBJECTIVE:To screen core differential genes with a major role in osteoarthritis by gene expression profiling. METHODS:Datasets were downloaded from the Gene Expression Omnibus(GEO):GSE114007,GSE117999,and GSE129147.Differential genes in the GSE114007 and GSE117999 data collections were screened using R software,performing differential genes to weighted gene co-expression network analysis.The module genes most relevant to osteoarthritis were selected to perform protein interaction analysis.Candidate core genes were selected using the cytocape software.The candidate core genes were subsequently subjected to least absolute shrinkage and selection operator regression and COX analysis to identify the core genes with a key role in osteoarthritis.The accuracy of the core genes was validated using an external dataset,GSE129147. RESULTS AND CONCLUSION:(1)A total of 477 differential genes were identified,265 differential genes associated with osteoarthritis were obtained by weighted gene co-expression network analysis,and 8 candidate core genes were identified.The least absolute shrinkage and selection operator regression analysis finally yielded a differential gene ASPM with core value that was externally validated.(2)It is concluded that abnormal gene ASPM expression screened by bioinformatics plays a key central role in osteoarthritis.

19 cinnamamide/ester-triazole compounds were designed, synthesized and evaluated for their anti-Alzheimer's disease (AD) activity. Among them, compound 4f displayed excellent anti-β-amyloid protein (Aβ)-mediated cytotoxicity (EC₅₀ = 2.03 ± 2.45 μmol·L^-1) in APPswe cells and acetylcholinesterase inhibiton (IC₅₀ = 4.88 ± 4.70 μmol·L^-1). Further study indicated that, at dosages of (1, 5 and 25 mg·kg^-1), compound 4f was effective in improving spatial learning and memory deficits in Aβ_1-42-impaired mice, which was achieved by promoting the nonamyloidogenic signaling and inhibiting the amyloidogenic pathway, along with the suppression of Aβ-induced Tau phosphorylation. All animal experiments in this study were approved by the Experimental Animal Care and Use Committee of the Institute of Medicinal Biotechnology (IMB-20220908D701). In conclusion, compound 4f holds promise as a lead candidate for AD treatment, and the present study lays the foundation for its subsequent development.

Disorders of consciousness (DOC) are pathological conditions characterized by severely suppressed brain function and the persistent interruption or loss of consciousness. Accurate diagnosis and evaluation of DOC are prerequisites for precise treatment. Traditional assessment methods are primarily based on behavioral scales, which are inherently subjective and rely on observable behaviors. Moreover, traditional methods have a high misdiagnosis rate, particularly in distinguishing minimally conscious state (MCS) from vegetative state/unresponsive wakefulness syndrome (VS/UWS). This diagnostic uncertainty has driven the exploration of objective, reliable, and efficient assessment tools. Among these tools, electroencephalography (EEG) has garnered significant attention for its non-invasive nature, portability, and ability to capture real-time neurodynamics. This paper systematically reviews the application of EEG biomarkers in DOC assessment. These biomarkers are categorized into 3 main types: resting-state EEG features, task-related EEG features, and features derived from transcranial magnetic stimulation-EEG (TMS-EEG). Resting-state EEG biomarkers include features based on spectrum, microstates, nonlinear dynamics, and brain network metrics. These biomarkers provide baseline representations of brain activity in DOC patients. Studies have shown their ability to distinguish different levels of consciousness and predict clinical outcomes. However, because they are not task-specific, they are challenging to directly associate with specific brain functions or cognitive processes. Strengthening the correlation between resting-state EEG features and consciousness-related networks could offer more direct evidence for the pathophysiological mechanisms of DOC. Task-related EEG features include event-related potentials, event-related spectral modulations, and phase-related features. These features reveal the brain’s responses to external stimuli and provide dynamic information about residual cognitive functions, reflecting neurophysiological changes associated with specific cognitive, sensory, or behavioral tasks. Although these biomarkers demonstrate substantial value, their effectiveness rely on patient cooperation and task design. Developing experimental paradigms that are more effective at eliciting specific EEG features or creating composite paradigms capable of simultaneously inducing multiple features may more effectively capture the brain activity characteristics of DOC patients, thereby supporting clinical applications. TMS-EEG is a technique for probing the neurodynamics within thalamocortical networks without involving sensory, motor, or cognitive functions. Parameters such as the perturbational complexity index (PCI) have been proposed as reliable indicators of consciousness, providing objective quantification of cortical dynamics. However, despite its high sensitivity and objectivity compared to traditional EEG methods, TMS-EEG is constrained by physiological artifacts, operational complexity, and variability in stimulation parameters and targets across individuals. Future research should aim to standardize experimental protocols, optimize stimulation parameters, and develop automated analysis techniques to improve the feasibility of TMS-EEG in clinical applications. Our analysis suggests that no single EEG biomarker currently achieves an ideal balance between accuracy, robustness, and generalizability. Progress is constrained by inconsistencies in analysis methods, parameter settings, and experimental conditions. Additionally, the heterogeneity of DOC etiologies and dynamic changes in brain function add to the complexity of assessment. Future research should focus on the standardization of EEG biomarker research, integrating features from resting-state, task-related, and TMS-EEG paradigms to construct multimodal diagnostic models that enhance evaluation efficiency and accuracy. Multimodal data integration (e.g., combining EEG with functional near-infrared spectroscopy) and advancements in source localization algorithms can further improve the spatial precision of biomarkers. Leveraging machine learning and artificial intelligence technologies to develop intelligent diagnostic tools will accelerate the clinical adoption of EEG biomarkers in DOC diagnosis and prognosis, allowing for more precise evaluations of consciousness states and personalized treatment strategies.

Objective To investigate the screening results and factors affecting abnormal detection rates among high-risk groups of esophageal cancer and to explore effective intervention measures. Methods We investigated and collected the information on gender, education level, age, marital status, symptoms of reflux esophagitis (heartburn, acid reflux, belching, hiccup, foreign body sensation in the pharynx, and difficulty swallowing), consumption of pickled vegetables, salt use, and esophageal cancer incidence of villagers in a natural village in Wenfeng District, Anyang City, Henan Province. Changes in reflux esophagitis symptoms in the high-incidence area of esophageal cancer before and after 16 years were observed, and the relationship of such changes with esophageal cancer was analyzed. Results In 2008, 711 cases were epidemiologically investigated, including 213 cases with one of the symptoms of reflux esophagitis such as heartburn, acid reflux, belching, hiccups, foreign body sensation in the pharynx, and difficulty swallowing (sorted in accordance with the abovementioned symptoms; if there are multiple symptoms, then the former is taken); 55 cases with at least two related symptoms, among which the most symptom was heartburn in 108 cases (15.1%); followed by acid reflux, belching, etc. In 2024, the same group of people was investigated, and eight people were missing because of relocation. A total of 703 people were successfully investigated, of which 189 cases (26.8%) had one of the symptoms of reflux esophagitis, such as heartburn (sorted in accordance with relevant symptoms, if there are multiple symptoms, then the former will be selected); 167 cases (23.7%) had at least two related symptoms, among which the most symptom was heartburn in 139 cases (19.7%); followed by acid reflux. Over 16 years, among the 703 people investigated, 45 cases had esophageal cancer and they had one or more of the abovementioned symptoms. No significant differences in the reflux esophagitis-like symptoms were found between 2008 and 2024 (P=0.26); no significant differences in the composition of reflux esophagitis-like symptoms were found between 2008 and 2024 (P=0.299). Conclusion The detection rate of reflux esophagitis-related symptoms in the population in a high-risk area of esophageal cancer has not decreased in the past 16 years, and the high-risk factors still exist. Esophageal cancer is closely related to reflux esophagitis, and clinical practice can provide early diagnosis and treatment for high-risk population.

Objective To understand the disease spectrum of a natural village in an area with high incidence of esophageal cancer to provide a reference for precise prevention and control. Methods From 2008 to 2024, 711 asymptomatic people over the age of 35 years in a natural village with high incidence of esophageal cancer in China were surveyed, and 171 of them were subjected to gastroscopy, biopsy, and pathological examination. All participants were followed up for a long time, and their disease history was recorded. Results A total of 16 years of follow-up were performed, and 703 people were effectively followed up. In 2008, 171 people underwent gastroscopy, and 160 people had biopsy and pathological results in endoscopic screening. By 2024, 76 people had been diagnosed with malignant tumors of 12 different types, and among these people, 45 had esophageal cancer. Conclusion Esophageal cancer remains a significant cause of morbidity and mortality from malignant tumors in this region. Biopsy and pathological examination should be strengthened during gastroscopy, and follow-ups and regular check-ups should be given high importance to reduce the incidence and mortality rates of esophageal cancer.

ObjectiveTo develop a classification model based on complete blood count （CBC） parameters combined with clinical factors to predict severe respiratory infections caused by Human adenovirus （HAdV） in pediatric patients. MethodsFrom September 2023 to September 2024， the CBC parameters and related clinical data from pediatric patients diagnosed with HAdV infection were collected. Principal component analysis and random forest models were used to identify potential predictors of severe cases. ResultsA total of 668 pediatric patients were included， with 564 cases assigned to the training cohort and 104 cases to the validation cohort. Severe cases were defined as pneumonia and/or fever lasting ≥5 days （pneumonia or prolonged fever， PorPF）. Principal component analysis and feature importance analysis （Mean Decrease Gini value） identified the monocytosis ratio （PMono）， red blood cell count （RBC）， and platelet count （PLT） as the most critical CBC parameters. Logistic regression analysis revealed that oxygen therapy （OR = 4.367， 95% CI： 1.568–12.161） and increased work of breathing （OR = 3.904， 95% CI： 2.146–7.101） were relative risk factors for PorPF. Meanwhile， higher PMono （OR = 0.696， 95% CI： 0.640–0.757）， RBC （OR = 0.201， 95% CI： 0.124–0.325）， and PLT （OR = 0.990， 95% CI： 0.987–0.994） were protective factors. When PMono was used as a predictive marker for PorPF， the area under the receiver operating characteristic curve （AUC） was 0.648 and 0.705， respectively. A random forest model incorporating four risk factors ［PMono， RBC， PLT， and hematocrit （HCT）］ was constructed to classify PorPF and general cases， achieving AUCs of 0.688 and 0.768， respectively. ConclusionsPMono， RBC， and PLT may serve as characteristic CBC indicators for predicting pneumonia or prolonged fever in children with HAdV infection. A risk factor model built using PMono， RBC， PLT， and HCT offers a relatively simple and accurate approach to predicting severe cases in pediatric HAdV infections.

Objective To investigate the effect and mechanism of rhubarb Tangluo pill on liver injury in type 2 diabetic rats.Methods ZDF(fa/fa)rats were given high-fat diet to induce type 2 diabetes model,and were randomly divided into model group,positive control group(0.18 g·kg-1 metformin)and experimental-L,-M,-H groups(0.54,1.08 and 2.16 g·kg-1 rhubarb Tangluo pill),with 8 rats in each group.Eight ZDF(fa/+)rats were selected as control group.The control group and model group were given equal volume of pure water once a day for 12 weeks.An oral glucose tolerance test(OGTT)was performed after administration.Fasting blood glucose level,body mass and liver mass of rats were measured and liver index was calculated.The contents of glutamic-pyruvic transaminase(GPT),glutamic oxalacetic transaminase(GOT),triglyceride(TG)and total cholesterol(TC)in serum were detected.The histomorphologic changes of liver were observed by hematoxylin-eosin(HE)staining and Masson staining.The protein expression of phosphorylated insulin receptor substrate 1(p-IRS1),phosphorylated protein kinase B(p-Akt)and glucose transporter 4(GLUT4)were detected by Western blotting.Results After administration,the fasting blood glucose levels of control group,model group,positive control group and experimental-H group were(4.71±0.45),(29.9±2.97),(15.28±4.52)and(13.84±1.55)mmol·L-1,respectively;the liver index were 2.31±0.46,4.03±0.18,3.37±0.23 and 3.38±0.24;the relative expression level of p-IRS1 protein were 1.00±0.36,4.00±0.11,1.62±0.27 and 1.90±0.17,respectively;the relative expression levels of p-Akt protein were 1.00±0.25,0.21±0.04,0.73±0.15 and 0.54±0.04,respectively;GLUT4 protein relative expression levels were 1.00±0.11,0.40±0.08,0.86±0.04 and 0.70±0.06,respectively.Compared with the model group,the above indexes in the experimental-H group were statistically significant(P＜0.01,P＜0.05).Conclusion Rhubarb Tanglu pill can effectively improve glycolipid metabolism and liver injury in type 2 diabetes mellitus,and its mechanism may be related to the activation of IRS1/Akt signaling pathway.

Background Heavy metal exposure may be associated with the risk of metabolic syndrome (MetS) and serum uric acid. The role of serum uric acid in the relationship between heavy metal exposure and MetS is currently unclear. Objective To evaluate the relationships of heavy metal exposure with MetS and serum uric acid, and to quantify the role of serum uric acid in the relationship. Methods In 2021, convenience sampling was used to select 571 local adults in Liuzhou, Guangxi. Demographic characteristics, lifestyle habits, and physiological and biochemical indicators were collected through questionnaire surveys and physical examinations. Fasting blood and mid-stream morning urine were also collected. The concentrations of 16 heavy metals in urine were measured using inductively coupled plasma mass spectrometry. Least absolute shrinkage and selection operator (LASSO) regression was employed to identify heavy metals associated with MetS. Logistic regression and linear regression models were employed to evaluate the association between the selected heavy metals and MetS as well as serum uric acid. Bayesian kernel machine regression (BKMR) model was utilized to assess the impact of combined exposures to multiple metals on the risk of MetS and identify the main effect metals. Generalized structural equation model was used to evaluate potential mediating effect of serum uric acid on the relationship between heavy metal exposure and MetS. Results The LASSO regression identified a total of 9 heavy metals that were associated with MetS. The logistic regression revealed a positive correlation between zinc and copper in urine and MetS (P _trend<0.05), while vanadium showed a negative correlation with MetS (P _trend<0.05). Compared to the low concentration groups, the high concentration groups of zinc (OR=2.37, 95%CI: 1.33, 4.20) and copper (OR=2.29, 95%CI: 1.26, 4.18) had an increased risk of MetS, while the high concentration group of vanadium showed a decreased risk of MetS (OR=0.47, 95%CI: 0.27, 0.84). The main effect metals identified by the BKMR model were consistent with the results of logistic regression. The linear regression analysis demonstrated an association between urinary zinc and vanadium concentrations and serum uric acid levels (P _trend<0.05). Compared to the low concentration group, the high concentration group of zinc showed an increase in serum uric acid level (β=0.07, 95%CI: 0.03, 0.11), while the high concentration group of vanadium showed a decrease in serum uric acid level (β=-0.06, 95%CI: -0.09, -0.02). The mediation analysis revealed that serum uric acid played a mediating role in the relationship between urinary zinc and vanadium concentrations and MetS, with mediation proportions of 8.33% and 16.67%, respectively. Conclusion Exposure to heavy metals zinc, copper, and vanadium are closely associated with MetS. Zinc and vanadium exposures are correlated with serum uric acid levels, and serum uric acid plays a partial mediating role in the relationship between zinc and vanadium exposures and MetS.