1.The level of HBV cccDNA in liver tissue and its clinical significance in patients in the convalescence stage of hepatitis B virus-related acute-on-chronic liver failure
Zhekai CAI ; Long XU ; Wenli LIU ; Yingqun XIAO ; Qingmei ZHONG ; Wei ZHANG ; Min WU
Journal of Clinical Hepatology 2025;41(1):57-62
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.
2.Design, synthesis and anti-Alzheimer's disease activity evaluation of cinnamyl triazole compounds
Wen-ju LEI ; Zhong-di CAI ; Lin-jie TAN ; Mi-min LIU ; Li ZENG ; Ting SUN ; Hong YI ; Rui LIU ; Zhuo-rong LI
Acta Pharmaceutica Sinica 2025;60(1):150-163
19 cinnamamide/ester-triazole compounds were designed, synthesized and evaluated for their anti-Alzheimer's disease (AD) activity. Among them, compound
3.Identification of core genes of osteoarthritis by bioinformatics
Xuekun ZHU ; Heng LIU ; Hui FENG ; Yunlong GAO ; Lei WEN ; Xiaosong CAI ; Ben ZHAO ; Min ZHONG
Chinese Journal of Tissue Engineering Research 2025;29(3):637-644
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.
4.Polymorphism and Tissue Expression Analysis of TYR and MC1R Genes in Guinea Pigs with Different Coat-Color Phenotypes
Yingen TANG ; Yaxian FENG ; Min ZHONG ; Zhen WEI ; Lie WANG ; Diwen LIU
Laboratory Animal and Comparative Medicine 2025;45(1):21-29
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.
5.Applications of EEG Biomarkers in The Assessment of Disorders of Consciousness
Zhong-Peng WANG ; Jia LIU ; Long CHEN ; Min-Peng XU ; Dong MING
Progress in Biochemistry and Biophysics 2025;52(4):899-914
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.
6.Summary of 16-Year Observation of Reflux Esophagitis-Like Symptoms in A Natural Village in A High-Incidence Area of Esophageal Cancer
Junqing LIU ; Lingling LEI ; Yaru FU ; Xin SONG ; Jingjing WANG ; Xueke ZHAO ; Min LIU ; Zongmin FAN ; Fangzhou DAI ; Xuena HAN ; Zhuo YANG ; Kan ZHONG ; Sai YANG ; Qiang ZHANG ; Qide BAO ; Lidong WANG
Cancer Research on Prevention and Treatment 2025;52(6):461-465
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
7.Prospective Study of Disease Occurrence Spectrum in Asymptomatic Residents in Areas with High Incidence of Esophageal Cancer: 16-year Observation of 711 Cases in Natural Population
Qide BAO ; Fangzhou DAI ; Xueke ZHAO ; Jingjing WANG ; Xin SONG ; Zongmin FAN ; Yanfang ZHANG ; Zhuo YANG ; Junfang GUO ; Kan ZHONG ; Qiang ZHANG ; Junqing LIU ; Min LIU ; Lidong WANG
Cancer Research on Prevention and Treatment 2025;52(8):656-660
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.
8.Clinical Classification Model for Human Adenovirus Infection in the Respiratory Tract of Children Based on Complete Blood Cell Count
Junyan ZHONG ; Junxiang LI ; Mei HUANG ; Yuejuan WANG ; Luohui LIU ; Xiaohui CHEN ; Min CAO
Journal of Sun Yat-sen University(Medical Sciences) 2025;46(5):889-898
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.
9.Effects of micro-electric field on proliferation and osteogenic differentiation of human umbilical cord mesenchymal stem cells
Zhong LIU ; Kewei LI ; Min WANG ; Wenhui LIU ; Leilei ZHANG ; Song GUO ; Hui QIAN ; Qiang FU
Chinese Journal of Tissue Engineering Research 2024;28(13):1983-1988
BACKGROUND:Electrical stimulation is a physical method that can be used to induce various cellular activities such as cell proliferation,differentiation,and apoptosis.The induction of osteogenic differentiation of stem cells will be beneficial in the field of bone regeneration. OBJECTIVE:To observe whether micro-current field can promote the proliferation and osteogenic differentiation of human umbilical cord mesenchymal stem cells. METHODS:The fresh human umbilical cord tissue was cut to obtain umbilical cord mesenchymal stem cells,which were inoculated into a 6-well plate after cell culture and passage to the third generation.After 24 hours,the cells were cultured under a stimulation of 0,50,and 100 mV/mm micro-electric field,at a frequency of 1 hour per day for 3 continuous days.The growth and morphological changes of human umbilical cord mesenchymal stem cells were observed by a microscope.The cell proliferation was detected by CCK-8 assay and EdU staining.Alizarin red staining was used to detect the osteogenic differentiation ability of cells.Western blot assay was used to determine the expression of ERK signal pathway proteins. RESULTS AND CONCLUSION:(1)The optical density value and the number of proliferating cells in 50 and 100 mV/mm groups were significantly higher than those of the unstimulated group(P<0.05).(2)Human umbilical cord mesenchymal stem cells could be induced to differentiate into osteocytes before and after micro-electric field stimulation,but the differentiation rate of 50 and 100 mV/mm groups was faster than that of unstimulated groups.(3)The protein expression of p-ERK1/2 in the 50 and 100 mV/mm groups was higher than that in the unstimulated group,and significant difference was detected between the 100 mV/mm group and the unstimulated group(P<0.05).(4)Micro-electric field can promote the proliferation of human umbilical cord mesenchymal stem cells,and the mechanism may be achieved by promoting the phosphorylation of ERK.
10.Application value of MEX3A,CDX2,MUC2 and MUC5AC in judging cancerous gastric mucosal intestinal metaplasia
Mengyuan ZHANG ; Jiarui LIU ; Zhong ZHANG ; Lanlan JIAO ; Min ZHANG ; Wei BO ; Jiayu GOU ; Chengcheng WU ; Xudong YANG ; Xuguang WANG
China Modern Doctor 2024;62(10):1-5
Objective To investigate the correlation between MEX3A and differentiation characteristics of gastric cancer and intestinal metaplasia,and its combination with caudal-related homeobox transcription factor 2(CDX2)and mucin 2(MUC2)and mucin 5AC(MUC5AC)to determine the role of carcinogenic intestinal metaplasia.Methods From January 2010 to December 2014,a total of 410 cases of gastric cancer and paracarcinoma paraffin-embedded tissue samples were selected from the Central Hospital Affiliated to Shenyang Medical College and the Second Hospital Affiliated to Shenyang Medical College.According to pathological diagnosis,they were divided into control group(mild superficial gastritis,79 cases),intestinal metaplasia group(149 cases)and gastric cancer group(182 cases).The expressions of MEX3A,CDX2,MUC2 and MUC5AC were detected by immunohistochemistry.Results MEX3A was highly expressed in gastric cancer group and intestinal metaplasia group,especially diffuse gastric cancer,poorly differentiated gastric cancer and type Ⅲ intestinal metaplasia(P<0.05).CDX2 and MUC2 were highly expressed in gastric cancer group and intestinal metaplasia group,especially intestinal type gastric cancer,highly and moderately differentiated gastric cancer,type Ⅰ and type Ⅱ intestinal metaplasia(P<0.05).The expression of MUC5AC was high in control group and low in gastric cancer group and intestinal metaplasia group,especially in intestinal type gastric cancer,type Ⅰ and type Ⅲ intestinal metaplasia(P<0.05).Gastric cancer and intestinal metaplasia differentiation were negatively correlated with MEX3A and MUC5AC expression,but positively correlated with CDX2 and MUC2 expression(P<0.05).MEX3A was negatively correlated with the expression of CDX2 and MUC2,and positively correlated with the expression of MUC5AC in gastric cancer(P<0.05).MEX3A was negatively correlated with the expression of CDX2 and MUC2 in intestinal metaplasia(P<0.05),while CDX2 was positively correlated with the expression of MUC2(P<0.05).Conclusion MEX3A is negatively correlated with gastric cancer and intestinal metaplasia differentiation.Gastric cancer is characterized by high MEX3A expression and low CDX2 and MUC2 expression.

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