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The tumor microenvironment (TME) assumes a pivotal role in the treatment of oncological diseases, given its intricate interplay of diverse cellular components and extracellular matrices. This dynamic ecosystem poses a serious challenge to traditional research methods in many ways, such as high research costs, inefficient translation, poor reproducibility, and low modeling success rates. These challenges require the search for more suitable research methods to accurately model the TME, and the emergence of 3D bioprinting technology is transformative and an important complement to these traditional methods to precisely control the distribution of cells, biomolecules, and matrix scaffolds within the TME. Leveraging digital design, the technology enables personalized studies with high precision, providing essential experimental flexibility. Serving as a critical bridge between in vitro and in vivo studies, 3D bioprinting facilitates the realistic 3D culturing of cancer cells. This comprehensive article delves into cutting-edge developments in 3D bioprinting, encompassing diverse methodologies, biomaterial choices, and various 3D tumor models. Exploration of current challenges, including limited biomaterial options, printing accuracy constraints, low reproducibility, and ethical considerations, contributes to a nuanced understanding. Despite these challenges, the technology holds immense potential for simulating tumor tissues, propelling personalized medicine, and constructing high-resolution organ models, marking a transformative trajectory in oncological research.
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Bioimpresión , Impresión Tridimensional , Microambiente Tumoral , Humanos , Bioimpresión/métodos , Neoplasias/patología , Animales , Ingeniería de Tejidos/métodos , Materiales Biocompatibles/química , Andamios del Tejido/químicaRESUMEN
Objective: The aim of this study was to investigate the relationship between weight-adjusted-waist index (WWI) and diabetic kidney disease in individuals afflicted with type 2 diabetes. Methods: Comprehensive data were ascertained from the National Health and Nutrition Examination Survey in 2013-March 2020. Weighted univariate, multivariate logistic regression models, subgroup analyses and tests for interaction were performed. Additionally, we employed smooth curve fitting to assess linear correlations and the threshold effects were calculated by applying a binary linear regression model. Breakpoints are identified by a model with maximum likelihood ratio and a two-step recursive approach. Receiver operating characteristic curve (ROC) along with the area under the curve (AUC) value predict the capability of WWI and body mass index for diabetic kidney disease. Results: A total of 10,661 individuals diagnosed with type 2 diabetes were included, and the overall prevalence of diabetic kidney disease was 20.74%. WWI exhibited a positive correlation with the likelihood of diabetic kidney disease in type 2 diabetes patients (OR: 1.17, 95% CI: 1.03-1.33). The results of subgroup analysis showed significant interaction for gender (P < 0.05). Among female patients, U-shaped correlations were observed with a breakpoint at 11.48. Additionally, weight-adjusted waist index (AUC = 0.664) proved to be a more effective predictor of diabetic kidney disease compared to body mass index (AUC = 0.555). Conclusion: In patients with type 2 diabetes, increased weight-adjusted-waist index is implicated with an increased risk of diabetic kidney disease. WWI can be used as a new anthropometric index to predict diabetic kidney disease, and its predictive ability is stronger than body mass index.
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BACKGROUND: Abdominal aortic calcification (AAC) is closely connected to cardiovascular disease. We aimed to measure the association between cardiovascular health (CVH) levels, assessed by the Life's Essential 8 (LE8) score, and AAC within a nationally representative sample of the US. METHODS: The National Health and Nutrition Examination Survey 2013-2014 participants were chosen for this cross-sectional investigation. LE8 scores, ranging from 0 to 100, were calculated according to the criteria outlined by the American Heart Association. AAC was evaluated using a semi-quantitative scoring system known as AAC-24. Weighted linear regression, multivariate logistic regression, and restricted cubic spline models were used to investigate the correlations. Subgroup analysis and interaction tests were conducted to assess this association's robustness across different population groups. RESULTS: Increased CVH levels were associated with diminished AAC scores and a reduced prevalence of severe AAC. In the partially adjusted model, each unit increase in LE8 score was associated with a 2% decrease in severe AAC prevalence [OR 0.98; 95% CI 0.96, 0.99]. Participants in the high CVH level group experienced a 72% reduced prevalence of severe AAC compared to those in the low CVH level group in model 2 [OR 0.28; 95% CI 0.12, 0.63]. This inverse association was notably more prominent in adults aged 60 years and above. CONCLUSIONS: CVH exhibited a robust negative correlation with AAC. Promoting optimal CVH levels may favor averting AAC within the general population.
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OBJECTIVE: Previous epidemiological and experimental studies have yielded conflicting results regarding the influence of human micronutrient levels on the risk of colorectal polyps (CP). In our study, we conducted a two-sample Mendelian randomization (MR) investigation to probe the link between 13 human micronutrients (calcium, selenium, magnesium, phosphorus, folate, vitamins B-6, B-12, C, D, beta-carotene, iron, zinc, and copper) and the genetic susceptibility to CP. METHODS: Summary statistics for CP (n = 463,010) were obtained from pan-European genome-wide association studies, and instrumental variables for 13 micronutrients were screened from published genome-wide association studies (GWAS). After selecting suitable instrumental variables, we performed a two-sample MR study, deploying sensitivity analyses to judge heterogeneity and pleiotropy, using inverse variance weighted methods as our primary estimation tool. RESULTS: Our study identified that a genetic predisposition to elevated toenail and circulating selenium or serum ß-carotene concentrations lowers the risk of CP occurrence. However, no statistically significant association was observed between the other 11 micronutrients and the risk of CP. CONCLUSION: The study findings provide evidence that the micronutrient selenium and ß-carotene may confer protective effects against the development of CP.
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Pólipos del Colon , Predisposición Genética a la Enfermedad , Estudio de Asociación del Genoma Completo , Análisis de la Aleatorización Mendeliana , Micronutrientes , Selenio , Humanos , Micronutrientes/sangre , Selenio/sangre , Pólipos del Colon/genética , Pólipos del Colon/sangre , beta Caroteno/sangre , Factores de Riesgo , Polimorfismo de Nucleótido Simple , Neoplasias Colorrectales/genética , Neoplasias Colorrectales/sangre , Neoplasias Colorrectales/epidemiologíaRESUMEN
Objective: This investigation sought to elucidate the potential correlation between a recently characterized adiposity metric, termed the Weight-Adjusted-Waist Index (WWI) and hyperuricemia. Methods: A cross-sectional design was employed in this study, featuring both hyperuricemic and non-hyperuricemic subjects with complete WWI data, sourced from the National Health and Nutrition Examination Survey (NHANES) spanning 2017 to March 2020. WWI was calculated utilizing the formula which involves the division of waist circumference (WC) by the square root of the body weight. In order to determine the relationship between WWI and hyperuricemia, both univariate and multivariate logistic regression models, appropriately weighted, were employed in the analysis. The linearity of relationships was validated using smooth curve fitting. Additionally, subgroup evaluations and interaction assessments were conducted. Results: The study sample comprised 7437 subjects, yielding a hyperuricemia prevalence of 18.22%. Stratifying WWI into tertiles, a progressive rise in hyperuricemia prevalence was evident with increasing WWI (Tertile 1: 11.62%, Tertile 2: 17.91%, Tertile 3: 25.13%). The odds ratio (OR) demonstrated that individuals within the highest WWI tertile were significantly more prone to hyperuricemia than those in the lowest tertile (OR = 2.41, 95% CI: 1.88-3.08). Conclusion: This study provides evidence that an elevated WWI is correlated with an increased risk of hyperuricemia in the adult population of the United States. These results suggest that WWI may serve as a viable anthropometric indicator for predicting hyperuricemia.