Association between hepatitis A seropositivity and bone mineral density in adolescents and adults: a cross-sectional study using NHANES data.

BACKGROUND: Osteoporosis, characterized by decreased bone density and increased fracture risk, imposes significant physical, psychosocial, and financial burdens. Early detection and prevention are crucial for managing osteoporosis and reducing the risk of fractures. OBJECTIVES: To investigate the relationship between Hepatitis A seropositivity and bone mineral density (BMD) in adolescents and adults and to explore the potential link between Hepatitis A infection and osteoporosis risk. DESIGN AND SETTING: This cross-sectional study used data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018 to evaluate the association between hepatitis A seropositivity and BMD in 15,693 participants. METHODS: Multivariable regression analysis was used to calculate the mean BMD and standard error for adolescents and adults, followed by an independent z-test to determine whether there was a significant difference between the seropositive and seronegative groups. RESULTS: Hepatitis A seropositive adolescents and adults had lower BMD than their seronegative counterparts, with significant differences in lumber spine (mean difference = -0.03 g/cm2, P < 0.01 for both age groups) and pelvis BMDs (mean difference = -0.02 g/cm2, P < 0.01 for the adult age groups), after adjusting for various covariates. CONCLUSIONS: This study confirmed that both adolescent and adult individuals seropositive for Hepatitis A antibodies had reduced BMD among both adolescents and adults, especially in the adult group. This finding suggests a possible link between Hepatitis A infection and risk of osteoporosis.

The anoikis-related gene signature predicts survival accurately in colon adenocarcinoma.

Colon adenocarcinoma (COAD) is a serious public health problem, the third most common cancer and the second most deadly cancer in the world. About 9.4% of cancer-related deaths in 2020 were due to COAD. Anoikis is a specialized form of programmed cell death that plays an important role in tumor invasion and metastasis. The presence of anti-anoikis factors is associated with tumor aggressiveness and drug resistance. Various bioinformatic methods, such as differential expression analysis, and functional annotation analysis, machine learning, were used in this study. RNA-sequencing and clinical data from COAD patients were obtained from the Gene expression omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Construction of a prognostic nomogram for predicting overall survival (OS) using multivariate analysis and Lasso-Cox regression. Immunohistochemistry (IHC) was our method of validating the expression of seven genes that are linked to anoikis in COAD. We identified seven anoikis-related genes as predictors of COAD survival and prognosis, and confirmed their accuracy in predicting colon adenocarcinoma prognosis by KM survival curves and ROC curves. A seven-gene risk score consisting of NAT1, CDC25C, ATP2A3, MMP3, EEF1A2, PBK, and TIMP1 showed strong prognostic value. Meanwhile, we made a nomogram to predict the survival rate of COAD patients. The immune infiltration assay showed T cells. CD4 memory. Rest and macrophages. M0 has a higher proportion in COAD, and 11 genes related to tumor immunity are important. GDSC2-based drug susceptibility analysis showed that 6 out of 198 drugs were significant in COAD. Anoikis-related genes have potential value in predicting the prognosis of COAD and provide clues for developing new therapeutic strategies for COAD. Immune infiltration and drug susceptibility results provide important clues for finding new personalized treatment options for COAD. These findings also suggest possible mechanisms that may affect prognosis. These results are the starting point for planning individualized treatment and managing patient outcomes.

A bioinformatics approach to identify a disulfidptosis-related gene signature for prognostic implication in colon adenocarcinoma.

Colon adenocarcinoma (COAD) is a type of cancer that arises from the glandular epithelial cells that produce mucus in the colon. COAD is influenced by various factors, including genetics, environment and lifestyle. The outcome of COAD is determined by the tumor stage, location, molecular characteristics and treatment. Disulfidptosis is a new mode of cell death that may affect cancer development. We discovered genes associated with disulfidptosis in colon adenocarcinoma and proposed them as novel biomarkers and therapeutic targets for COAD. We analyzed the mRNA expression data and clinical information of COAD patients from The Cancer Genome Atlas (TCGA) database and Xena databases, extracted disulfidptosis-related genes from the latest reports on disulfidptosis. We used machine learning to select key features and build a signature and validated the risk model using data from the Gene Expression Omnibus (GEO) database and Human Protein Atlas (HPA). We also explored the potential biological functions and therapeutic implications of the disulfidptosis-related genes using CIBERSORTx and GDSC2 databases. We identified four disulfidptosis-related genes: TRIP6, OXSM, MYH3 and MYH4. These genes predicted COAD patient survival and modulated the tumor microenvironment, drug sensitivity and immune microenvironment. Our study reveals the importance of disulfidptosis-related genes for COAD prognosis and therapy. Immune infiltration and drug susceptibility results provide important clues for finding new personalized treatment options for COAD. These findings may facilitate personalized cancer treatment.