OBJECTIVES: Atopic dermatitis (AD) is a common allergic disease with potential links to environmental pollutants, including heavy metals. This study investigates the association between co-exposure to cadmium and mercury and AD among Korean children. METHODS: Data from the fourth cycle of the Korean National Environmental Health Survey (KoNEHS) included 736 elementary school students. Urinary cadmium and mercury levels were measured, and their association with lifetime prevalence of AD was analysed using logistic regression, weighted quantile sum (WQS) regression, quantile g-computation (QGC), and Bayesian kernel machine regression (BKMR). Confounders adjusted included age, sex, urinary cotinine, income, and body mass index. Sensitivity analyses used symptomatic AD and AD treatment as outcome variables. RESULTS: Among two metals, only cadmium in the highest tertile showed an odds ratio (OR) of 2.39 (95% CI: 1.12-5.10) compared with lowest tertile, with a significant trend per tertile increase (OR 1.58, 95% CI: 1.08-2.31) in multiple logistic regression. Co-exposure analysis using WQS and QGC revealed significant associations with AD prevalence, with WQS showing an OR of 1.47 (95% CI: 1.18-1.83) and QGC showing an OR of 1.60 (95% CI: 1.20-2.13) per tertile increase of exposure. BKMR indicated a dose-dependent relationship between overall exposure and AD risk. For symptomatic AD, similar trend was found. The treatment status of AD did not show a significant association with either heavy metal. CONCLUSION: This study suggests a significant association between co-exposure to cadmium and mercury and atopic dermatitis, emphasizing the need to consider combined environmental exposures in epidemiological studies.

• MeSH
• atopická dermatitida * epidemiologie   chemicky indukované   MeSH
• dítě MeSH
• kadmium * moč   škodlivé účinky   MeSH
• látky znečišťující životní prostředí * moč   MeSH
• lidé MeSH
• prevalence MeSH
• rtuť * moč   škodlivé účinky   MeSH
• studenti statistika a číselné údaje   MeSH
• vystavení vlivu životního prostředí * škodlivé účinky   statistika a číselné údaje   analýza   MeSH
• zdravotnické přehledy MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Korejská republika MeSH

OBJECTIVES: A growing body of research has incorporated the Social Vulnerability Index (SVI) into an expanded understanding of the social determinants of health. Although each component of SVI and its association with individual-level mental health conditions have been well discussed, variation in mentally unhealthy days (MUDs) at a county level is still unexplored. To systematically examine the geographically varying relationships between SVI and MUDs across the US counties, our study adopted two different methods: 1) aspatial regression modeling (ordinary least square [OLS]); and 2) locally calibrated spatial regression (geographically weighted regression [GWR]). STUDY DESIGN: This study used a cross-sectional statistical design and geospatial data manipulation/analysis techniques. Analytical unit is each of the 3109 counties in the continental USA. METHODS: We tested the model performance of two different methods and suggest using both methods to reduce potential issues (e.g., Simpson's paradox) when researchers apply aspatial analysis to spatially coded data sets. We applied GWR after checking the spatial dependence of residuals and non-stationary issues in OLS. GWR split a single OLS equation into 3109 equations for each county. RESULTS: Among 15 SVI variables, a combination of eight variables showed the best model performance. Notably, unemployment, person with a disability, and single-parent households with children aged under 18 years especially impacted the variation of MUDs in OLS. GWR showed better model performance than OLS and specified each county's varying relationships between subcomponents of SVI and MUDs. For example, GWR specified that 69.3% (2157 of 3109) of counties showed positive relationships between single-parent households and MUDs across the USA. Higher positive relationships were concentrated in Michigan, Kansas, Texas, and Louisiana. CONCLUSIONS: Our findings could contribute to the literature regarding social determinants of community mental health by specifying spatially varying relationships between SVI and MUDs across US counties. Regarding policy implementation, in counties containing more social and physical minorities (e.g., single-parent households and disabled population), policymakers should attend to these groups of people and increase intervention programs to reduce potential or current mental health illness. The results of GWR could help policymakers determine the specific counties that need more support to reduce regional mental health disparities.

• MeSH
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• prostorová analýza MeSH
• prostorová regrese * MeSH
• průřezové studie MeSH
• sociální zranitelnost * MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Michigan MeSH

Diffusion-weighted imaging (DWI) and its numerical expression via apparent diffusion coefficient (ADC) values are commonly utilized in non-invasive assessment of various brain pathologies. Although numerous studies have confirmed that ADC values could be pathognomic for various ring-enhancing lesions (RELs), their true potential is yet to be exploited in full. The article was designed to introduce an image analysis method allowing REL recognition independently of either absolute ADC values or specifically defined regions of interest within the evaluated image. For this purpose, the line of interest (LOI) was marked on each ADC map to cross all of the RELs' compartments. Using a machine learning approach, we analyzed the LOI between two representatives of the RELs, namely, brain abscess and glioblastoma (GBM). The diagnostic ability of the selected parameters as predictors for the machine learning algorithms was assessed using two models, the k-NN model and the SVM model with a Gaussian kernel. With the k-NN machine learning method, 80% of the abscesses and 100% of the GBM were classified correctly at high accuracy. Similar results were obtained via the SVM method. The proposed assessment of the LOI offers a new approach for evaluating ADC maps obtained from different RELs and contributing to the standardization of the ADC map assessment.

• MeSH
• absces mozku * patologie   MeSH
• difuzní magnetická rezonance metody   MeSH
• glioblastom * diagnostické zobrazování   patologie   MeSH
• lidé MeSH
• mozek diagnostické zobrazování   patologie   MeSH
• průřezové studie MeSH
• strojové učení MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

The sustenance of humans and livestock depends on the protection of the soil. Consequently, the pollution of the soil with potentially toxic elements (PTEs) is of great concern to humanity. The objective of this study is to investigate the source apportionment, concentration levels and spatial distribution of PTEs in selected soils in Frýdek-Místek District of the Czech Republic. The total number of soil samples was 70 (topsoil 49 and 21 subsoils) and was analysed using a portable XRF machine. Contamination factor and the pollution index load were used for the assessment and interpreting the pollution and distribution of PTEs in the soils. The inverse distance weighting was used for the spatial evaluation of the PTEs. The results of the analysis showed that the area is composed of low-to-high pollution site. PTEs displayed spatial variation patterns. The average PTE concentration decreases in this Fe > Ti > Ba > Zr > Rb > Sr > Cr > Y>Cu > Ni > Th order for the topsoil and also decreases in this Fe > Ti > Zr > Ba > Rb > Sr > Cr > Y > Cu > Ni > and Th order for the subsoil. These PTEs Cr, Ni, Cu, Rb, Y, Zr, Ba, Th, and Fe were far above the baseline European average value and the World average value level, respectively. The source apportionment showed the dominance of Cr, Ni, Rb, Ti, Th, Zr, Cu, Fe in the topsoil, while the subsoil was dominated by all the PTEs (factor 1 to 6) except Ba. The study concludes that indiscriminate human activities have an enormous effect on soil pollution.

• MeSH
• hodnocení rizik MeSH
• látky znečišťující půdu analýza   toxicita   MeSH
• lidé MeSH
• monitorování životního prostředí MeSH
• prostorová analýza MeSH
• půda chemie   MeSH
• těžké kovy analýza   toxicita   MeSH
• znečištění životního prostředí analýza   statistika a číselné údaje   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH

Mineralization of hydrogel biomaterials with calcium phosphate (CaP) is considered advantageous for bone regeneration. Mineralization can be both induced by the enzyme alkaline phosphatase (ALP) and promoted by calcium-binding biomolecules, such as plant-derived polyphenols. In this study, ALP-loaded gellan gum (GG) hydrogels were enriched with gallotannins, a subclass of polyphenols. Five preparations were compared, namely three tannic acids of differing molecular weight (MW), pentagalloyl glucose (PGG), and a gallotannin-rich extract from mango kernel (Mangifera indica L.). Certain gallotannin preparations promoted mineralization to a greater degree than others. The various gallotannin preparations bound differently to ALP and influenced the size of aggregates of ALP, which may be related to ability to promote mineralization. Human osteoblast-like Saos-2 cells grew in eluate from mineralized hydrogels. Gallotannin incorporation impeded cell growth on hydrogels and did not impart antibacterial activity. In conclusion, gallotannin incorporation aided mineralization but reduced cytocompatibility.

• MeSH
• alkalická fosfatasa metabolismus   MeSH
• antibakteriální látky farmakologie   MeSH
• bakteriální polysacharidy MeSH
• biokompatibilní materiály MeSH
• biomimetika metody   MeSH
• fosforečnany vápenaté MeSH
• fyziologická kalcifikace účinky léků   MeSH
• hydrogely chemie   MeSH
• hydrolyzovatelné taniny metabolismus   farmakologie   MeSH
• lidé MeSH
• Mangifera chemie   MeSH
• minerály chemie   MeSH
• osteoblasty metabolismus   MeSH
• polyfenoly chemie   MeSH
• polysacharidy chemie   MeSH
• regenerace kostí MeSH
• rostlinné extrakty chemie   MeSH
• rostliny metabolismus   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

Rationale: Several common and rare genetic variants have been associated with idiopathic pulmonary fibrosis, a progressive fibrotic condition that is localized to the lung. Objectives: To develop an integrated understanding of the rare and common variants located in multiple loci that have been reported to contribute to the risk of disease. Methods: We performed deep targeted resequencing (3.69 Mb of DNA) in cases (n = 3,624) and control subjects (n = 4,442) across genes and regions previously associated with disease. We tested for associations between disease and 1) individual common variants via logistic regression and 2) groups of rare variants via sequence kernel association tests. Measurements and Main Results: Statistically significant common variant association signals occurred in all 10 of the regions chosen based on genome-wide association studies. The strongest risk variant is the MUC5B promoter variant rs35705950, with an odds ratio of 5.45 (95% confidence interval, 4.91-6.06) for one copy of the risk allele and 18.68 (95% confidence interval, 13.34-26.17) for two copies of the risk allele (P = 9.60 × 10-295). In addition to identifying for the first time that rare variation in FAM13A is associated with disease, we confirmed the role of rare variation in the TERT and RTEL1 gene regions in the risk of IPF, and found that the FAM13A and TERT regions have independent common and rare variant signals. Conclusions: A limited number of common and rare variants contribute to the risk of idiopathic pulmonary fibrosis in each of the resequencing regions, and these genetic variants focus on biological mechanisms of host defense and cell senescence.

• MeSH
• ABC transportéry genetika   MeSH
• celogenomová asociační studie MeSH
• DNA-helikasy genetika   MeSH
• exoribonukleasy genetika   MeSH
• genetická predispozice k nemoci MeSH
• genetická variace MeSH
• idiopatická plicní fibróza genetika   MeSH
• interakce hostitele a patogenu genetika   MeSH
• lidé MeSH
• logistické modely MeSH
• mucin 5B genetika   MeSH
• promotorové oblasti (genetika) genetika   MeSH
• protein A asociovaný s plicním surfaktantem genetika   MeSH
• protein C asociovaný s plicním surfaktantem genetika   MeSH
• proteiny aktivující GTPasu genetika   MeSH
• proteiny vázající telomery genetika   MeSH
• RNA genetika   MeSH
• sekvenční analýza DNA MeSH
• stárnutí buněk genetika   MeSH
• studie případů a kontrol MeSH
• telomerasa genetika   MeSH
• vysoce účinné nukleotidové sekvenování MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH

PURPOSE: We reviewed the survival time for patients with primary brain tumors undergoing treatment with stereotactic radiation methods at the Masaryk Memorial Cancer Institute Brno. We also identified risk factors and characteristics, and described their influence on survival time. METHODS: In summarizing survival data, there are two functions of principal interest, namely, the survival function and the hazard function. In practice, both of them can depend on some characteristics. We focused on nonparametric methods, propose a method based on kernel smoothing, and compared our estimates with the results of the Cox regression model. The hazard function is conditional to age and gross tumor volume and visualized as a color-coded surface. A multivariate Cox model was also designed. RESULTS: There were 88 patients with primary brain cancer, treated with stereotactic radiation. The median survival of our patient cohort was 47.8 months. The estimate of the hazard function has two peaks (about 10 months and about 40 months). The survival time of patients was significantly different for various diagnoses (p≪0.001), KI (p = 0.047) and stereotactic methods (p = 0.033). Patients with a greater GTV had higher risk of death. The suitable threshold for GTV is 20 cm3. Younger patients with a survival time of about 50 months had a higher risk of death. In the multivariate Cox regression model, the selected variables were age, GTV, sex, diagnosis, KI, location, and some of their interactions. CONCLUSION: Kernel methods give us the possibility to evaluate continuous risk variables and based on the results offer risk-prone patients a different treatment, and can be useful for verifying assumptions of the Cox model or for finding thresholds of continuous variables.

• MeSH
• dospělí MeSH
• Kaplanův-Meierův odhad MeSH
• lidé středního věku MeSH
• lidé MeSH
• meningeom mortalita   patologie   chirurgie   MeSH
• mladiství MeSH
• mladý dospělý MeSH
• nádory mozku mortalita   patologie   chirurgie   MeSH
• prognóza MeSH
• proporcionální rizikové modely MeSH
• radiochirurgie MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• tumor burden MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• srovnávací studie MeSH

Transient current density J(t) induced in the body of a person exposed to a single magnetic pulse of arbitrary shape or to a magnetic jump is filtered by a convolution integral containing in its kernel the frequency and phase dependence of the basic limit value adopted in a way similar to that used for reference values in the International Commission on Non-Ionising Radiation Protection statement. From the obtained time-dependent dimensionless impact function WJ(t) can immediately be determined whether the exposure to the analysed single event complies with the basic limit. For very slowly varying field, the integral kernel is extended to include the softened ICNIRP basic limit for frequencies lower than 4 Hz.

• MeSH
• elektromagnetická pole škodlivé účinky   MeSH
• hodnocení rizik MeSH
• lidé MeSH
• prahové limitní hodnoty MeSH
• vystavení vlivu životního prostředí MeSH
• Check Tag
• lidé MeSH

• MeSH
• experimenty na zvířatech MeSH
• fumonisiny toxicita   MeSH
• hodnocení rizik MeSH
• kontaminace potravin MeSH
• kyseliny karbocyklické toxicita   MeSH
• mykotoxiny toxicita   MeSH
• vystavení vlivu životního prostředí MeSH

• Konspekt
• Veřejné zdraví a hygiena
• NLK Obory
• veřejné zdravotnictví
• environmentální vědy
• NLK Publikační typ
• publikace WHO
• kolektivní monografie