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Background: Inhalation of biopersistent fibers like asbestos can cause strong chronic inflammatory effects, often resulting in fibrosis or even cancer. The interplay between fiber shape, fiber size and the resulting biological effects is still poorly understood due to the lack of reference materials.
Results: We investigated how length, diameter, aspect ratio, and shape of synthetic silica fibers influence inflammatory effects at doses up to 250 µg cm. Silica nanofibers were prepared with different diameter and shape. Straight (length ca. 6 to 8 µm, thickness ca. 0.25 to 0.35 µm, aspect ratio ca. 17:1 to 32:1) and curly fibers (length ca. 9 µm, thickness ca. 0.13 µm, radius of curvature ca. 0.5 µm, aspect ratio ca. 70:1) were dispersed in water with no apparent change in the fiber shape during up to 28 days. Upon immersion in aqueous saline (DPBS), the fibers released about 5 wt% silica after 7 days irrespectively of their shape. The uptake of the fibers by macrophages (human THP-1 and rat NR8383) was studied by scanning electron microscopy and confocal laser scanning microscopy. Some fibers were completely taken up whereas others were only partially internalized, leading to visual damage of the cell wall. The biological effects were assessed by determining cell toxicity, particle-induced chemotaxis, and the induction of gene expression of inflammatory mediators.
Conclusions: Straight fibers were only slightly cytotoxic and caused weak cell migration, regardless of their thickness, while the curly fibers were more toxic and caused significantly stronger chemotaxis. Curly fibers also had the strongest effect on the expression of cytokines and chemokines. This may be due to the different aspect ratio or its twisted shape.
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http://dx.doi.org/10.1186/s12989-024-00586-6 | DOI Listing |
Braz Oral Res
September 2025
Atitus Educação, Graduate Program in Dentistry, Passo Fundo, RS, Brazil.
The aim of the study was to explore female authorship in various aspects of randomized controlled trials (RCTs) in dentistry. A search was performed in PubMed for RCTs, in dentistry, indexed from 12/31/2016 to 12/31/2021. Only studies in English were considered.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
College of Materials Science and Engineering, Hunan University, Changsha 410082, China.
Modern electronic systems are evolving toward miniaturized designs, flexible architectures, and high-power-density requirements. However, progress in developing electrical insulation materials that integrate mechanical robustness, flexibility, and thermal stability remains a critical challenge. This study introduces a novel nacre-inspired aramid-vermiculite nanopaper featuring a 3D interconnected layered network, designed for use in flexible electrical insulating applications.
View Article and Find Full Text PDFHealth Inf Manag
September 2025
Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: The success of disease registry systems (DRSs) depends on developing software that aligns with the registry's specific needs.
Objective: This study focuses on localising the Checklist with Items for Patient Registry sOftware Systems (CIPROS) to facilitate the DRS assessment.
Method: This applied and cross-sectional study was carried out in 2023 in six phases.
Alpha Psychiatry
August 2025
Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 130021 Changchun, Jilin, China.
Background: The progressive legalization and widespread use of cannabis has led to its use as a treatment for certain neuropsychiatric disorders. Traditional epidemiological studies suggest that cannabis use has an effect on some neurocognitive aspects. However, it is unclear whether cannabis use is causally related to common neuropsychiatric disorders.
View Article and Find Full Text PDFFront Plant Sci
August 2025
College of Mathematics and Computer Science, Yan'an University, Yan'an, Shaanxi, China.
To address the challenge of real-time kiwifruit detection in trellised orchards, this paper proposes YOLOv10-Kiwi, a lightweight detection model optimized for resource-constrained devices. First, a more compact network is developed by adjusting the scaling factors of the YOLOv10n architecture. Second, to further reduce model complexity, a novel C2fDualHet module is proposed by integrating two consecutive Heterogeneous Kernel Convolution (HetConv) layers as a replacement for the traditional Bottleneck structure.
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