OBJECTIVE: To investigate the anti-tumor effects of cinobufacini (CINO) on hepatocellular carcinoma (HCC) induced by des-gamma-carboxy-prothrombin (DCP) and to uncover the underlying mechanisms. METHODS: The inhibitory effect of CINO on HCC cell proliferation was evaluated using the cell counting kit-8 method, and the apoptosis rate was quantified using flow cytometry. Immunofluorescence and Western blot analyses were used to investigate the differential expression of proteins associated with cell growth, apoptosis, migration, and invasion pathways after CINO treatment. The therapeutic potential of CINO for HCC was confirmed, and the possibility of combining cinobufacini with c-Met inhibitor for the treatment of primary HCC was further validated by in vivo experiments. RESULTS: Under the induction of DCP, CINO inhibited the activity of HCC cells, induced apoptosis, and inhibited migration and invasion. Upon the induction of DCP, CINO regulated c-Met activation and the activation of the phosphatidylinositol-3 kinase/protein kinase B (PI3K/AKT) and mitogen-activated protein kinase kinase/extracellular signal-regulated kinase (MEK/ERK) pathways. In a mouse model of HCC, CINO exhibited significant antitumor effects by inhibiting the phosphorylation of c-Met and the downstream PI3K/AKT and MEK/ERK pathways in tumor tissues. CONCLUSIONS CINO inhibited HCC cell growth, promoted apoptosis, and suppressed HCC cell invasion and migration by targeting c-Met and PI3K/AKT and MEK/ERK signaling pathways under DCP induction.
Carcinoma, Hepatocellular/drug therapy* ; Proto-Oncogene Proteins c-met/metabolism* ; Liver Neoplasms/drug therapy* ; Signal Transduction/drug effects* ; Animals ; Humans ; Cell Movement/drug effects* ; Apoptosis/drug effects* ; Cell Proliferation/drug effects* ; Amphibian Venoms/therapeutic use* ; Cell Line, Tumor ; Neoplasm Metastasis ; Cell Survival/drug effects* ; Proto-Oncogene Proteins c-akt/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Neoplasm Invasiveness ; Mice, Inbred BALB C ; Mice, Nude ; Mice ; Male ; Bufanolides/therapeutic use* ; Protein Precursors ; Prothrombin ; Biomarkers

The prevalence of rheumatoid arthritis (RA) has sharply increased in recent years, posing a serious threat to human health. RA is characterized as a chronic, multisystem disease with morning stiffness and symmetric small joint pain. However, its fundamental processes are poorly understood. With the advancements in molecular biology techniques, a growing body of research indicates that numerous non-coding RNAs (ncRNAs) are essential for the pathogenesis of RA. These ncRNAs not only contribute to the onset of RA but also play a role in the pathological processes of RA development, including synovial immune inflammation and bone destruction. Chinese medicine (single compounds, single herbs, and compound formulae, as well as non-drug therapies such as acupuncture and moxibustion), offer significant benefits for treating RA. This study examined the role of 3 different ncRNA types (circular RNA, long ncRNA, and microRNA) as biomarkers in RA diagnosis, as well as their regulatory roles in rheumatoid arthritis fibroblast-like synoviocytes functions such as inflammatory response, proliferation, cell cycle, apoptosis, and invasion. Additionally, the study explored the mechanisms by which Chinese medicine regulates these ncRNAs, with the goal of offering innovative strategies for RA treatment.
Arthritis, Rheumatoid/pathology* ; Humans ; RNA, Untranslated/metabolism* ; Medicine, Chinese Traditional ; Synoviocytes/metabolism* ; RNA, Circular ; Biomarkers/metabolism* ; Apoptosis/genetics*

OBJECTIVES: Hepatocellular carcinoma is one of the most common primary malignant tumors with the third highest mortality rate worldwide. This study aims to identify key genes associated with hepatocellular carcinoma prognosis using the Gene Expression Omnibus (GEO) database and provide a theoretical basis for discovering novel prognostic biomarkers for hepatocellular carcinoma. METHODS: Hepatocellular carcinoma-related datasets were retrieved from the GEO database. Differentially expressed genes (DEGs) were identified using the GEO2R tool. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). A protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), and key genes were identified using Cytoscape software. The University of Alabama at Birmingham Cancer Data Analysis Resource (UALCAN) was used to analyze the expression levels of key genes in normal and hepatocellular carcinoma tissues, as well as their associations with pathological grade, clinical stage, and patient survival. The Human Protein Atlas (THPA) was used to further validate the impact of key genes on overall survival. Expression levels of key genes in the blood of hepatocellular carcinoma patients were evaluated using the expression atlas of blood-based biomarkers in the early diagnosis of cancers (BBCancer). RESULTS: A total of 78 DEGs were identified from the GEO database. GO and KEGG analyses indicated that these genes may contribute to hepatocellular carcinoma progression by promoting cell division and regulating protein kinase activity. Sixteen key genes were screened via Cytoscape and validated using UALCAN and THPA. These genes were overexpressed in hepatocellular carcinoma tissues and were associated with disease progression and poor prognosis. Finally, BBCancer analysis showed that ASPM and NCAPG were also elevated in the blood of hepatocellular carcinoma patients. CONCLUSIONS This study identified 16 key genes as potential prognostic biomarkers for hepatocellular carcinoma, among which ASPM and NCAPG may serve as promising blood-based markers for hepatocellular carcinoma.
Humans ; Carcinoma, Hepatocellular/mortality* ; Liver Neoplasms/pathology* ; Prognosis ; Computational Biology/methods* ; Protein Interaction Maps/genetics* ; Biomarkers, Tumor/genetics* ; Gene Expression Regulation, Neoplastic ; Gene Expression Profiling ; Gene Ontology ; Databases, Genetic

OBJECTIVES: Hypertriglyceridemic acute pancreatitis (HTG-AP) has a rapid onset and is associated with a high risk of progression and recurrence. Early identification of patients at risk of severe disease can help reduce the likelihood of multiple organ failure and mortality. This study aims to investigate the changes in inflammatory composite markers and D-dimer (D-D) levels in young and middle-aged/elderly patients with HTG-AP and to evaluate their predictive value for disease progression. METHODS: A total of 230 patients with HTG-AP admitted to Chongqing University Jiangjin Hospital (Jiangjin Central Hospital) between 2017 and 2023 were retrospectively enrolled. Patients were first divided into a young group (≤45 years) and a middle-aged/elderly group (>45 years), and then stratified into mild and severe groups based on disease severity. Inflammatory composite markers, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), C-reactive protein-to-lymphocyte ratio (CLR), systemic inflammation response index (SIRI), systemic immune inflammation index (SII), as well as D-D levels, were compared among groups. Least absolute shrinkage and selection operator (LASSO) regression and Logistic regression were used to identify independent risk factors for disease progression in each age group. Receiver operating characteristic (ROC) curves and the DeLong test were used to assess and compare the predictive performance (area under the curve, AUC) of risk factors. Internal validation was performed using the bootstrap method (n=1 000). RESULTS: No significant differences in NLR, PLR, MLR, SIRI, SII, CLR, or D-D levels were observed between the young (n=127) and middle-aged/elderly (n=103) groups (all P>0.05). Among young patients, the severe group (n=59) had significantly higher NLR, SIRI, SII, CLR, and D-D levels compared to the mild group (n=68) (all P<0.05). Among middle-aged/elderly patients, CLR and D-D levels were significantly higher in the severe group (n=49) than in the mild group (n=54) (P<0.05). LASSO and Logistic regression analyses identified elevated D-D as an independent risk factor for disease progression in young patients (P=0.007, OR=1.458, 95% CI 1.107 to 1.920), while both D-D (P=0.001, OR=2.267, 95% CI 1.413 to 3.637) and CLR (P=0.003, OR=1.007, 95% CI 1.003 to 1.012) were independent risk factors in middle-aged/elderly patients. ROC analysis showed that D-D predicted disease progression in young and middle-aged/elderly patients with AUCs of 0.653 and 0.741, sensitivities of 67.8% and 57.1%, and specificities of 72.1% and 88.9%, respectively. CLR predicted progression in middle-aged/elderly patients with an AUC of 0.687, sensitivity of 63.3%, and specificity of 70.4%. DeLong test showed no significant difference in AUC between D-D and CLR for middle-aged/elderly patients (Z=0.993, P=0.321). Internal validation via bootstrap analysis yielded a D-D AUC of 0.732, with sensitivity and specificity of 68.1% and 91.0%, respectively. CONCLUSIONS Differences in inflammatory response and coagulation function exist across age groups and disease severities in HTG-AP patients. Elevated D-D is an independent predictor of disease progression in both young and middle-aged/elderly patients, while CLR also predicts progression in the latter group. D-D, in particular, demonstrates strong predictive value for severe disease in middle-aged/elderly patients with HTG-AP.
Humans ; Fibrin Fibrinogen Degradation Products/metabolism* ; Disease Progression ; Middle Aged ; Pancreatitis/etiology* ; Male ; Female ; Retrospective Studies ; Adult ; Biomarkers/blood* ; Hypertriglyceridemia/blood* ; Acute Disease ; Predictive Value of Tests ; Aged ; Inflammation ; C-Reactive Protein/analysis* ; Neutrophils ; Age Factors

OBJECTIVES: Multiple myeloma (MM) is a hematologically malignant clonal plasma cell disease. This study aims to explore the association between immunophenotypes and prognosis in patients with MM, to determine whether the expression of CD45 and CD200 is related to the prognosis of newly diagnosed MM (NDMM) patients, and to evaluate the significance of the combined expression of CD45 and CD200 in NDMM. METHODS: A total of 123 NDMM patients admitted to Shengjing Hospital of China Medical University from July 2015 to August 2019 were enrolled. Five key immunophenotypic markers (including CD38, CD138, CD45, CD56, and CD200) were screened through flow cytometry and identified using random forest analysis and univariate Cox regression analysis. Patients were divided into 3 groups: Group A, CD45 and CD200 double-positive; Group B, CD45 or CD200 single-positive; Group C, CD45 and CD200 double-negative. Kaplan-Meier curves were used to analyze overall survival (OS) and progression-free survival (PFS) across groups. Multivariate Cox regression was performed to evaluate prognostic factors, and a nomogram was constructed based on these results. RESULTS: The OS and PFS of single-positive groups for CD38, CD138, CD45, CD56, and CD200 were all shorter than those of their respective single-negative groups (all P<0.05). Significant differences were observed in OS (P<0.001) and PFS (P=0.001) among Groups A, B, and C. Group A had shorter OS and PFS (all P=0.001) compared to the Group B+C (cases from Group B and Group C were combined). CD45 and CD200 double-positive was an independent prognostic factor for NDMM [hazard ratio (HR)=2.178, 95% confidence interval (CI) 1.048 to 4.529; P=0.037]. The nomogram and calibration curves constructed from multivariate Cox regression analysis demonstrated good concordance (concordance index=0.706; 95% CI 0.661 to 0.751). CONCLUSIONS NDMM patients with double-positive expression of CD45 and CD200 have significantly shorter OS and PFS. Compared with the use of either marker alone, the combined assessment of CD45 and CD200 may provide better prognostic stratification for MM patients.
Humans ; Multiple Myeloma/metabolism* ; Male ; Female ; Middle Aged ; Antigens, CD/metabolism* ; Prognosis ; Leukocyte Common Antigens/metabolism* ; Aged ; Adult ; Immunophenotyping ; Nomograms ; Biomarkers, Tumor ; Clinical Relevance

OBJECTIVES: Metabolic syndrome (MetS) is a major public health concern that poses a significant threat to human health. Investigating its underlying mechanisms and identifying potential intervention targets has important clinical implications. This study aims to explore the association between serum gastric biomarkers and MetS and its components. METHODS: A cross-sectional study was conducted among 24 635 individuals (aged 18 to 80 years) who underwent routine health examinations from May 2017 to June 2021 at the Health Management Medical Center, Third Xiangya Hospital, Central South University. Demographic data, medical and medication history, height, weight, blood pressure, fasting blood glucose, glycated hemoglobin (HbA1c), total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and creatinine levels were collected. Serum levels of pepsinogen (PG) I, PGII, and gastrin-17 (G-17) were measured using enzyme-linked immunosorbent assay kits. MetS was diagnosed based on the International Diabetes Federation criteria. Logistic regression was used to assess the association between gastric biomarkers and MetS. RESULTS: Among the 24 635 participants, the overall prevalence of MetS was 35.72%, with a higher rate in males than in females (42.41% vs 24.31%). Compared with the non-MetS group, MetS group were older and had higher metabolic-related diseases rate, Helicobacter pylori infection rate, body mass index (BMI), waist circumference, systolic and diastolic blood pressure, total cholesterol, triglycerides, fasting blood glucose, glycated hemoglobin, and creatinine levels (all P<0.05). Serum G-17 levels were significantly elevated in the MetS group, and PGI levels decreased (both P<0.05). Males had higher G-17, PGI, PGII, and PGI/PGII ratios than females (all P<0.05). Subgroup analysis revealed that G-17 was consistently elevated in MetS patients regardless of sex, whereas PGI was decreased. PGII levels exhibited sex-specific differences. After adjusting for confounders, Logistic regression analysis revealed that high G-17 level was independently associated with MetS, with a stronger correlation observed in males. Moreover, G-17 level progressively increased with higher MetS scores (all P<0.05). CONCLUSIONS Serum G-17 level is positively associated with both the presence and severity of MetS, with a more pronounced correlation in males, suggesting its potential involvement in MetS-related metabolic dysregulation.
Humans ; Metabolic Syndrome/epidemiology* ; Female ; Male ; Middle Aged ; Adult ; Cross-Sectional Studies ; Biomarkers/blood* ; Aged ; Young Adult ; Adolescent ; Gastrins/blood* ; Pepsinogen A/blood* ; Pepsinogen C/blood* ; Aged, 80 and over

OBJECTIVES: Patients with connective tissue diseases (CTD) have a high incidence of cardiac involvement, which often presents insidiously and can progress rapidly, making it one of the leading causes of death. Multiparametric cardiovascular magnetic resonance (CMR) provides a comprehensive quantitative evaluation of myocardial injury and is emerging as a valuable tool for detecting cardiac involvement in CTD. This study aims to investigate the correlations between CMR features and serological biomarkers in CTD patients, assess their potential clinical value, and further explore the impact of pre-CMR immunotherapy intensity on CMR-specific parameters, thereby evaluating the role of CMR in the early diagnosis of CTD-related cardiac involvement. METHODS: A retrospective analysis was conducted on 72 consecutive CTD patients who underwent CMR at Xiangya Hospital of Central South University between September 2019 and March 2024. Clinical data, serological markers, and CMR parameters were collected. Differences in CMR parameters were compared between CTD patients with positive and negative serological markers. Correlations between serological biomarkers and CMR parameters were analyzed, with subgroup analyses performed for different CTD subtypes. Logistic regression (univariate and multivariate) was applied to explore the effects of pre-CMR immunotherapy intensity on CMR parameters, and receiver operating characteristic (ROC) curve analysis was used to determine cutoff values. RESULTS: In differential analyses, CTD patients with elevated interleukin (IL)-1β and IL-6 levels exhibited significantly higher myocardial T₂ values compared with those with normal levels (P=0.014, P=0.012). Elevated IL-10 was associated with a higher prevalence of microvascular lesions on CMR (P=0.038). Correlation analysis revealed a significant positive association between high-sensitivity cardiac troponin T (hs-cTnT) and T₂ values (r=0.371, P=0.009). ROC analysis indicated that when the hs-cTnT threshold was 0.01 ng/mL, the sensitivity and specificity for predicting elevated left ventricular T₂ values were 85.71% and 61.11%, respectively [area under the curve (AUC)=0.767, P=0.001]. hs-cTnT and creatine kinase (CK) were also positively correlated with native T₁ values (r=0.371, P=0.009; r=0.364, P=0.032). Erythrocyte sedimentation rate (ESR) showed a positive correlation with the percentage of the late gadolinium enhancement (LGE) (r=0.236, P=0.047). Conversely, hs-cTnT correlated negatively with global radial strain (GRS) (r=-0.297, P=0.034), while CK correlated negatively with both GRS and global circumferential strain (GCS) (r=-0.292, P=0.022; r=-0.282, P=0.027). Among patients with elevated hs-cTnT, the cumulative glucocorticoid dose prior to CMR was negatively associated with elevated T₂ values (OR=0.997, P=0.018), and this correlation remained significant after adjusting for duration of steroid use (OR=0.997, P=0.044). ROC analysis showed that when the cumulative glucocorticoid dose did not exceed 613 mg/mL (prednisone equivalent), the sensitivity and specificity for predicting elevated T₂ values were 90.48% and 77.78%, respectively (AUC=0.862, P<0.001). CONCLUSIONS Several inflammatory biomarkers demonstrate correlations with specific CMR parameters, with hs-cTnT showing the strongest associations across multiple indices. Elevated hs-cTnT suggests a high likelihood of cardiac involvement in CTD patients. Furthermore, pre-CMR immunotherapy intensity significantly influences the specificity of T₂ mapping, indicating its importance in interpreting CMR results. These findings provide critical insights for clinicians in the early recognition, timely intervention, and disease evaluation. Future research should further explore the role of CMR in the assessment of CTD-related cardiac assessment of CTD-related cardiac involvement. Future studies should further explore the role of CMR in evaluating CTD cardiac manifestations and its integration with other clinical data to optimize patient management.
Humans ; Retrospective Studies ; Male ; Female ; Connective Tissue Diseases/blood* ; Middle Aged ; Adult ; Biomarkers/blood* ; Magnetic Resonance Imaging/methods* ; ROC Curve ; Interleukin-6/blood* ; Troponin T/blood*

Stathmin 1 (STMN1) is a microtubule-binding cytoplasmic phosphoprotein that promotes microtubule depolymerization or inhibits microtubule assembly, thereby regulating cytoskeletal organization and cell cycle progression. STMN1 is upregulated in a variety of malignant tumors, where it drives proliferation, invasion, metastasis, and angiogenesis through classic pathways such as nuclear factor-κB (NF-κB), mitogen-activated protein kinase (MAPK), and ferroptosis. STMN1 can also modulate the function of immune cells, thereby influencing antitumor immunity. Clinical data show that its high expression correlates positively with tumor drug resistance and poor prognosis, suggesting that STMN1 has potential as a tumor biomarker and therapeutic molecular target with important clinical significance.
Humans ; Stathmin/metabolism* ; Neoplasms/genetics* ; Biomarkers, Tumor/metabolism* ; NF-kappa B/metabolism* ; Cell Proliferation ; Drug Resistance, Neoplasm

Prostate cancer is the second most common cancer in men, accounting for 14.1% of new cancer cases in 2020. The aggressiveness of prostate cancer is highly variable, depending on its grade and stage at the time of diagnosis. Despite recent advances in prostate cancer treatment, some patients still experience recurrence or even progression after undergoing radical treatment. Accurate initial staging and monitoring for recurrence determine patient management, which in turn affect patient prognosis and survival. Classical imaging has limitations in the diagnosis and treatment of prostate cancer, but the use of novel molecular probes has improved the detection rate, specificity, and accuracy of prostate cancer detection. Molecular probe-based imaging modalities allow the visualization and quantitative measurement of biological processes at the molecular and cellular levels in living systems. An increased understanding of tumor biology of prostate cancer and the discovery of new tumor biomarkers have allowed the exploration of additional molecular probe targets. The development of novel ligands and advances in nano-based delivery technologies have accelerated the research and development of molecular probes. Here, we summarize the use of molecular probes in positron emission tomography (PET), single-photon emission computed tomography (SPECT), magnetic resonance imaging (MRI), optical imaging, and ultrasound imaging, and provide a brief overview of important target molecules in prostate cancer.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Molecular Probes ; Molecular Imaging/methods* ; Magnetic Resonance Imaging ; Positron-Emission Tomography ; Tomography, Emission-Computed, Single-Photon ; Ultrasonography ; Optical Imaging ; Biomarkers, Tumor ; Precision Medicine/methods*

Objective:Inflammation has been confirmed to play an important role in the occurrence and development of sudden sensorineural hearing loss（SSNHL）, and the neutrophil-to-lymphocyte ratio（NLR） is a biomarker positively correlated with the degree of inflammation. This study aims to identify the difference in serum NLR between patients with SSNHL and normal population, and to evaluate the predictive efficacy of NLR for the occurrence and prognosis of SSNHL, thereby guiding the clinical diagnosis and treatment of SSNHL. Methods:In this study, 96 patients diagnosed with SSNHL admitted to our department from January 2023 to March 2024 and 96 patients diagnosed with vocal cord polyps admitted to our department during the same period were recruited as a control group. Multivariate Logistic regression was used to evaluate independent related factors, and a nomogram was constructed to predict the probability of SSNHL. The receiver operating characteristic（ROC） curve and calibration curve were used to evaluate the accuracy of prediction. Results:Multivariate logistic regression analysis showed that a high level NLR（OR2.215; 95%CI1.597-3.073; P<0.001） were independently associated with the presence of SSNHL. High age（OR1.036; 95%CI1.009-1.067; P=0.012）, high FIB（OR2.35; 95%CI1.176-4.960; P=0.019） were the risk factor for SSNHL. Incorporating these 3 factors, a forest plot and a nomogram were generated. The ROC curve, nomogram and calibration curve showed that the model had good clinical practicability. A low NLR（OR0.598; 95%CI0.439-0.816; P<0.001） was significantly associated with a favorable prognosis of SSNHL. Conclusion:Elevated NLR can serve as an promising biomarker for assessing the risk of SSNHL. The nomograms calculation model may be utilized as a tool to estimate the probability of SSNHL. Low level NLR is significantly associated with a good prognosis of SSNHL.
Humans ; Neutrophils ; Female ; Male ; Lymphocytes ; Hearing Loss, Sensorineural/blood* ; Hearing Loss, Sudden/diagnosis* ; Middle Aged ; Prognosis ; Nomograms ; ROC Curve ; Adult ; Logistic Models ; Biomarkers/blood* ; Lymphocyte Count ; Inflammation/blood* ; Clinical Relevance