Introduction: Diesel emissions have a high level of particulate matter which can cause inflammation and oxidative stress in the airways. A strategy to reduce diesel particulate matter and the associated adverse effects is the use of biodiesels and fuel additives. However, very little is known about the biological effects of these alternative emissions. The aim of this study is to compare the effect of biodiesel and triacetin/biodiesel emissions on primary human bronchial epithelial cells (pHBECs) compared to diesel emissions.
Methods: pHBECs were exposed to diesel, biodiesel (20%, 50% and 100% biodiesel derived from coconut oil) and triacetin/biodiesel (4% and 10% triacetin) emissions for 30 min at air-liquid interface. Cell viability (cellular metabolism, cell death, CASP3 mRNA expression and BCL2 mRNA expression), inflammation (IL-8 and IL-6 secretion), antioxidant production (HO-1 mRNA expression) and xenobiotic metabolism (CYP1a1 mRNA expression) were measured.
Results: Biodiesel emissions (B50) reduced cell viability, and increased oxidative stress. Triacetin/biodiesel emissions (B90) decreased cell viability and increased antioxidant production, inflammation and xenobiotic metabolism. Biodiesel emissions (B100) reduced cell viability, and increased IL-8 secretion and xenobiotic metabolism.
Conclusions: Biodiesel substitution in diesel fuel and triacetin substitution in biodiesel can increase the adverse effects of diesel emissions of pHBECs. Further studies of the effect of these diesel fuel alternatives on pHBECs are required.
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http://dx.doi.org/10.1016/j.tiv.2019.02.005 | DOI Listing |
Arch Pathol Lab Med
January 2025
the Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles (Petersen, Stuart, He, Ju, Ghezavati, Siddiqi, Wang).
Context.—: The co-occurrence of plasma cell neoplasm (PCN) and lymphoplasmacytic lymphoma (LPL) is rare, and their clonal relationship remains unclear.
Objective.
Brief Bioinform
November 2024
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Buk-gu, Gwangju 61005, Republic of Korea.
Combination therapies have emerged as a promising approach for treating complex diseases, particularly cancer. However, predicting the efficacy and safety profiles of these therapies remains a significant challenge, primarily because of the complex interactions among drugs and their wide-ranging effects. To address this issue, we introduce DD-PRiSM (Decomposition of Drug-Pair Response into Synergy and Monotherapy effect), a deep-learning pipeline that predicts the effects of combination therapy.
View Article and Find Full Text PDFPediatr Dermatol
January 2025
Department of Dermatology of Hospital, Universitario Virgen de Valme, Sevilla, Spain.
Background/objectives: Anaplastic large cell lymphomas (ALCLs) present unique challenges due to their clinical and genetic heterogeneity. This study investigated the clinical characteristics of children diagnosed with systemic ALCL.
Methods: Retrospective data from 14 pediatric patients diagnosed with systemic ALCL at Valme University Hospital were studied.
Mol Biol Rep
January 2025
Goat Genetics and Breeding Division, ICAR-Central Institute for Research On Goats, Makhdoom, Farah, Mathura, 281 122, Uttar Pradesh, India.
Background: Extracellular matrix (ECM) proteins play a crucial role in regulating the biological properties of adherent cells. For cryopreserved fibroblasts, a favourable ECM environment can help restore their natural morphology and function more rapidly, minimizing post-thaw stress responses.
Methods And Results: This study explored the functional responses of cryopreserved enriched caprine adult dermal fibroblast (cadFibroblast) cells to structural [collagen-IV and rat tail collagen (RTC)] and adhesion ECM proteins (laminin, fibronectin, and vitronectin) under in vitro culture conditions.
Discov Oncol
January 2025
Department of Neurosurgery, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, 415003, Hunan, China.
Purpose: Glioma is the most prevalent tumor of the central nervous system. The poor clinical outcomes and limited therapeutic efficacy underscore the urgent need for early diagnosis and an optimized prognostic approach for glioma. Therefore, the aim of this study was to identify sensitive biomarkers for glioma.
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