30. kongres Evropské společnosti pro umělé orgány (European Society for Artificial Organs, ESAO) se konal od 3. do 6. září 2003 v německých Cáchách. Letošním mottem kongresu bylo: „High-tech a medicína“. Přednášky a prezentace se týkaly nejnovějších poznatků z oblasti umělých orgánů, buněčného a tkáňového inženýrství, buněčných regenerací, biomateriálů, modifikace povrchů, robotiky, miniaturizace a implantátů. Kongresu se aktivně zúčastnily výzkumníci z 28 zemí, s celkem 129 odbornými přednáškami a 225 posterovými prezentacemi, většina prací vznikla za spolupráce odborníků medicínských, přírodních a technických věd.
- MeSH
- Biocompatible Materials MeSH
- Biomedical Engineering MeSH
- Artificial Organs MeSH
- Publication type
- Congress MeSH
- MeSH
- Denture, Complete * MeSH
- Technology, Dental methods instrumentation MeSH
- Humans MeSH
- Denture Design * MeSH
- Aged MeSH
- Denture Bases * MeSH
- Dental Impression Technique MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Aged MeSH
- Publication type
- Case Reports MeSH
- MeSH
- Adult MeSH
- Esthetics, Dental MeSH
- Humans MeSH
- Dental Implants utilization MeSH
- Dental Materials therapeutic use MeSH
- Dental Prosthesis, Implant-Supported * methods utilization MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Female MeSH
- Publication type
- Case Reports MeSH
Breast milk is crucial for infant health, offering essential nutrients and immune protection. However, despite increasing exposure risks from nanoparticles (NPs), their potential infiltration into human breast milk remains poorly understood. This study provides a comprehensive chemical profile of NPs in human breast milk, analyzing their elemental composition, surface charge, hydrodynamic size, and crystallinity. NPs were detected in 42 out of 53 milk samples, with concentrations reaching up to 1.12 × 1011 particles/mL. These particles comprised nine elements, with O, Si, Fe, Cu, and Al being the most frequently detected across all samples. We establish a mechanistic axis for NP infiltration, involving penetration of the intestine/air-blood barriers, circulation in blood vessels, crossing the blood-milk barrier via transcytosis or immune cell-mediated transfer, and eventual accumulation in milk. Structure-activity relationship analysis reveals that smaller, neutral-charged NPs exhibit stronger infiltration capacity, offering potential for regulating NP behavior at biological barriers through engineering design. This study provides the chemical profiles of NPs in human breast milk and uncovers their infiltration pathways.
- MeSH
- Humans MeSH
- Milk, Human * chemistry metabolism MeSH
- Nanoparticles * chemistry analysis MeSH
- Particle Size MeSH
- Structure-Activity Relationship MeSH
- Check Tag
- Humans MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
BACKGROUND: The advancement of nanotechnology underscores the imperative need for establishing in silico predictive models to assess safety, particularly in the context of chronic respiratory afflictions such as lung fibrosis, a pathogenic transformation that is irreversible. While the compilation of predictive descriptors is pivotal for in silico model development, key features specifically tailored for predicting lung fibrosis remain elusive. This study aimed to uncover the essential predictive descriptors governing nanoparticle-induced pulmonary fibrosis. METHODS: We conducted a comprehensive analysis of the trajectory of metal oxide nanoparticles (MeONPs) within pulmonary systems. Two biological media (simulated lung fluid and phagolysosomal simulated fluid) and two cell lines (macrophages and epithelial cells) were meticulously chosen to scrutinize MeONP behaviors. Their interactions with MeONPs, also referred to as nano-bio interactions, can lead to alterations in the properties of the MeONPs as well as specific cellular responses. Physicochemical properties of MeONPs were assessed in biological media. The impact of MeONPs on cell membranes, lysosomes, mitochondria, and cytoplasmic components was evaluated using fluorescent probes, colorimetric enzyme substrates, and ELISA. The fibrogenic potential of MeONPs in mouse lungs was assessed by examining collagen deposition and growth factor release. Random forest classification was employed for analyzing in chemico, in vitro and in vivo data to identify predictive descriptors. RESULTS: The nano-bio interactions induced diverse changes in the 4 characteristics of MeONPs and had variable effects on the 14 cellular functions, which were quantitatively evaluated in chemico and in vitro. Among these 18 quantitative features, seven features were found to play key roles in predicting the pro-fibrogenic potential of MeONPs. Notably, IL-1β was identified as the most important feature, contributing 27.8% to the model's prediction. Mitochondrial activity (specifically NADH levels) in macrophages followed closely with a contribution of 17.6%. The remaining five key features include TGF-β1 release and NADH levels in epithelial cells, dissolution in lysosomal simulated fluids, zeta potential, and the hydrodynamic size of MeONPs. CONCLUSIONS: The pro-fibrogenic potential of MeONPs can be predicted by combination of key features at nano-bio interfaces, simulating their behavior and interactions within the lung environment. Among the 18 quantitative features, a combination of seven in chemico and in vitro descriptors could be leveraged to predict lung fibrosis in animals. Our findings offer crucial insights for developing in silico predictive models for nano-induced pulmonary fibrosis.
- MeSH
- A549 Cells MeSH
- Metal Nanoparticles * toxicity chemistry MeSH
- Humans MeSH
- Mice, Inbred C57BL MeSH
- Mice MeSH
- Lung drug effects pathology metabolism MeSH
- Pulmonary Fibrosis * chemically induced metabolism pathology MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Mice MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
1. vyd. 37 s. ; 21 cm
Brožura informuje o pojmu eHealth (dříve užívaný termín lékařská informatika) jako způsobu dosažení efektivního a bezpečného používání informačních a telekomunikačních technologií ve zdravotnictví a příbuzných oborech.
- MeSH
- Telemedicine trends utilization MeSH
- Community Health Services trends MeSH
- Medical Informatics Applications MeSH
- Conspectus
- Lékařské vědy. Lékařství
- NML Fields
- lékařská informatika
- NML Publication type
- informační publikace
... Zjišťování diagnózy u ženského lékaře 62 -- Léčba sterility - high-tech, nebo přírodní léčba? ... ... 65 -- Jak udělat dítě - high-tech a reprodukční medicína 71 -- Jednat, nebo čekat? ...
Vyd. 1. 178 s. ; 20 cm
Kniha dvou renomovaných německých gynekologů reaguje na aktuální trend evropské společnosti: pozdní mateřství. Autoři mapují důvody tohoto trendu (změna tradičního pojetí rodiny a manželství, fenomén budování kariéry žen, malá podpora rodin a rodičů ze strany státu, změna sociálního paradigmatu ženy ve společnosti - kariéra, společenská angažovanost, vyrovnávání sociálních rolí muže a ženy). Kniha informuje o německé, ale i středoevropské situaci párů, které se pro dítě rozhodnou až ve středním věku a vyvrací obecnou představu o tom, že by pozdní těhotenství a porod měly být méně kvalitní než u mladých žen. Vzhledem k pokroku medicíny a porodnictví lze být maminkou i po čtyřicítce, byť to s sebou nese také různá omezení: nejspíš zůstane u jednoho dítěte, starost o jedináčka bývá přehnaná, dítě pozná nikoli mladé, nýbrž stárnoucí rodiče. Přesto se však kniha pozdního těhotenství zastává a doporučuje ho.
- MeSH
- Middle Aged MeSH
- Parturition MeSH
- Pregnancy MeSH
- Pregnant People MeSH
- Maternal Age MeSH
- Check Tag
- Middle Aged MeSH
- Pregnancy MeSH
- Publication type
- Popular Work MeSH
- Conspectus
- Gynekologie. Porodnictví
- NML Fields
- gynekologie a porodnictví
This study examines the personality patterns of solo founders in both high-tech and non-high-tech sectors during the first seven years of their entrepreneurial journey to emphasize the patterns' implications during policymaking, investment decisions, and self-assessments. IAB/ZEW startup panel microdata for the sector classification of 4470 solo entrepreneurs in Germany were analyzed to identify Big Five trait patterns influenced by risk propensities, innovation inclination, and gender. The entrepreneurial profiles indicate positive openness, emotional resilience, and sector-specific clusters. Conscientiousness suggests flexibility, and while variations in extraversion and agreeableness exist, negative neuroticism was predominantly found, except for gender-related differences and multidimensional service innovators. Big Five traits provide information about important foundational profile patterns to describe unique solo entrepreneur types influenced by risk, innovation, and gender. Originality and value: Risk propensity characterizes 'Adaptive Services,' 'Dynamic Knowledge Innovators,' and 'Strategic Risk Navigators.' Additionally, 'Multidimensional Service Innovators' and 'Focused Tech Innovators' signify innovation understanding. The Big Five profiles show openness and emotional stability across sectors, providing crucial insights for effective entrepreneurial support and investment strategies.
