Development of a Widely Accessible, Advanced Large-Scale Microfluidic Airway-on-Chip

Bioengineering, Journal Year: 2025, Volume and Issue: 12(2), P. 182 - 182

Published: Feb. 13, 2025

On-chip microfluidics are advanced in vitro models that simulate lung tissue's native 3D environment more closely than static 2D to investigate the complex architecture and multifactorial processes lead pulmonary disease. Current microfluidic systems can be restrictive quantities of biological sample retrieved from a single micro-channel, such as RNA, protein, supernatant. Here, we describe newly developed large-scale airway-on-chip model employs surface area for cell culture wider currently available systems. This enables collection samples comparable volume traditional systems, making device applicable any workflow utilizing these (RNA isolation, ELISA, etc.). With our construction method, this larger allows easier handling, potential wide range exposures, well low-quantity (e.g., volatiles or mitochondrial RNA). The consists two large polydimethylsiloxane (PDMS) chambers under an independent flow medium air, separated by semi-permeable polyethylene (PET) membrane (23 μm thick, 0.4 pore size). Each chamber carries 5 × 18 mm, 90 mm2 (92 with tapered inlets) contain up 1-2 104 adherent structural cells utilized close contact co-culture studies different types, including airway epithelial cells, fibroblasts, smooth muscle endothelial cells. parallel bi-chambered design chip cultured at air-liquid interface (ALI) differentiation into dense, multi-layered, pseudostratified epithelium rates. millifluidic advances field providing readily reproducible, easily adjustable, cost-effective fluidic platform.

Language: Английский

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Targeting Non-Eosinophilic Immunological Pathways in COPD and AECOPD: Current Insights and Therapeutic Strategies

International Journal of COPD, Journal Year: 2025, Volume and Issue: Volume 20, P. 511 - 532

Published: March 1, 2025

COPD is a multifactorial illness characterized by long-term restriction of airflow and an inflammatory reaction in the lungs. The associated emphysema leads to breakdown alveolar proteins abnormal expansion lung air spaces. Chronic bronchitis caused same disease can result increased deposition structural proteins, narrowing airways, excessive mucus secretion leading acute exacerbation (AECOPD). most commonly prescribed medications for it, such as glucocorticoids bronchodilators, provide important therapeutic benefits, but they also have negative side effects, including immunosuppression infection. Therefore, it necessary develop treatment that specifically target immune system molecular components. This review focuses on non-eosinophilic aspects immunological modulation management. Since, existing literature extensively covers eosinophilic inflammation, this aims fill gap examining alternative pathways their implications. findings suggest targeting specific responses may enhance efficacy while minimizing adverse effects with traditional therapies. In summary, emphasizes importance advancing research into mechanisms COPD, prescribing development novel therapies more effectively manage disease.

Language: Английский

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Novel drug discovery strategies for chronic obstructive pulmonary disease: the latest developments

Expert Opinion on Drug Discovery, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10

Published: April 14, 2025

The journey from initial drug discovery to approval for respiratory diseases typically spans approximately 10.4 years and cost over $2.8 billion. This intricate process involves five stages: target identification, therapeutic molecule discovery, preclinical testing, clinical trials, regulatory approval. review examines novel strategies chronic obstructive pulmonary disease (COPD), focusing on advanced in vitro models that replicate human lung conditions accurate testing according the following search string: AND strategy COPD. It explores targeted molecular therapies, structure-based design, repurposing approaches facilitated by computational analysis. significance of personalized medicine tailoring treatments diverse COPDs is emphasized, highlighting complexity necessity these innovative methodologies improve outcomes. COPD remains a challenging area, with significant unmet medical need. Despite previous efforts, few effective therapies exist. Innovative models, are showing promise. Emphasizing existing drugs could transform treatment paradigms, promoting more complex like These innovations hold potential enhancing efficiency, leading precision approaches.

Language: Английский

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Dissecting the in vitro fate of plant-derived bioactive encapsulated nanoparticles in lung diseases

Food Bioscience, Journal Year: 2023, Volume and Issue: 56, P. 103205 - 103205

Published: Sept. 26, 2023

Language: Английский

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Greenness and chronic respiratory health issues: a systematic review and meta-analysis

Frontiers in Public Health, Journal Year: 2023, Volume and Issue: 11

Published: Dec. 6, 2023

Introduction The number of chronic respiratory disease (CRD) individuals worldwide has been continuously increasing. Numerous studies have shown that greenness can improve health issues through different mechanisms, with inconsistent evidence. By quantitatively summarizing existing studies, our purpose is to determine the connection between exposure and various health. Methods We conducted a comprehensive search on PubMed, EMBASE, Web Science core databases identify relevant correlation issues. Studies published up January 2023 were included in search. study used most frequent indicator (normalized difference vegetation index [NDVI]) as definition exposure. Results finally identified 35 for meta-analysis. calculated pooled effects across using random-effects model subgroup analysis by age buffer zones discuss This showed 0.1 increments NDVI significantly related lower rates asthma incidence, lung cancer obstructive pulmonary (COPD) mortality risk; RRs 0.92 (95% CI: 0.85–0.98), 0.62 0.40–0.95), 0.95 0.92– 0.99), respectively. For subgroup, higher level was incidence rate among teenagers aged 13–18years (RR: 0.91; 95% 0.83–0.99). positive relationship incidence/prevalence at 200–300m 800– 1000m buffers, well COPD 800–1000m buffer, 0.86–0.98), 0.87 0.81–0.93), 0.93 0.88– 0.98), Evidence publication bias not detected this study. Discussion Our first global meta-analysis CRDs report an inverse association. Further research needed order effect CRDs. Therefore, when planning green development, more consideration must be given public management intervention measures. https://www.crd.york.ac.uk/PROSPEROFILES/384029_STRATEGY_20230116.pdf

Language: Английский

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Influencing factors of particle deposition in the human nasal cavity

Laryngoscope Investigative Otolaryngology, Journal Year: 2024, Volume and Issue: 9(4)

Published: July 22, 2024

Abstract Objective To review the existing literature on application of computational fluid dynamics methods to study nasal particle deposition and summarize analyze factors affecting in order provide theoretical references for development future transnasal drug delivery devices prevention respiratory‐related diseases. Data Source PubMed CNKI databases. Methods A search all current (up including February 2023) was conducted. Search terms related topic influencing were identified, queries conducted identify relevant articles. Results Both properties particles themselves environmental conditions external can affect cavity, with showing a positive correlation size, density, airflow velocity, increasing subject age leading decrease deposition, relationship between temperature humidity still requiring more research further explore. Conclusions With popularity dynamics, scholars have applied technology explore influence different parameters deposition. By summarizing analyzing law various it basis diseases, which makes significant contribution optimization clinical disease treatment. Level Evidence NA.

Language: Английский

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SIRT-2 inhibition by AK-7 orchestrates fibrotic cascades in airways through neuroimmune interaction via TRPA1, TRPM8 and TGF-β signalling

Biochemical Pharmacology, Journal Year: 2024, Volume and Issue: unknown, P. 116689 - 116689

Published: Nov. 1, 2024

Language: Английский

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Prediction of Pulmonary Function Parameters Based on a Combination Algorithm

Bioengineering, Journal Year: 2022, Volume and Issue: 9(4), P. 136 - 136

Published: March 25, 2022

Pulmonary function parameters play a pivotal role in the assessment of respiratory diseases. However, accuracy existing methods for prediction pulmonary is low. This study proposes combination algorithm to improve parameter prediction.We first established system collect volumetric capnography and then processed data with predict parameters. The consists three main parts: medical feature regression structure consisting support vector machines (SVM) extreme gradient boosting (XGBoost) algorithms, sequence one-dimensional convolutional neural network (1D-CNN), an error correction using improved K-nearest neighbor (KNN) algorithm.The root mean square (RMSE) predicted by was less than 0.39L R2 found be greater 0.85 through ten-fold cross-validation experiment.Compared predicting parameters, present can achieve higher rate. At same time, this uses specific processing structures different features, interpretability ensured while mining depth information.

Language: Английский

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Editorial: Advanced therapeutic delivery for the management of chronic respiratory diseases

Frontiers in Medicine, Journal Year: 2022, Volume and Issue: 9

Published: Aug. 9, 2022

EDITORIAL article Front. Med., 09 August 2022Sec. Pulmonary Medicine https://doi.org/10.3389/fmed.2022.983583

Language: Английский

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Deep Transfer Learning for Detecting Covid-19, Pneumonia and Tuberculosis Using Cxr Images – A Review

COVID Research Open Access, Journal Year: 2023, Volume and Issue: 1(1), P. 51 - 56

Published: Nov. 28, 2023

Chest X-rays remains to be the most common imaging modality used diagnose lung diseases. However, they necessitate interpretation of experts (radiologists and pulmonologists), who are few. This review paper investigates use deep transfer learning techniques detect COVID-19, pneumonia, tuberculosis in chest X-ray (CXR) images. It provides an overview current state-of the-art CXR image classification discusses challenges opportunities applying this domain. The a thorough examination recent research studies that algorithms for detection, highlighting advantages disadvantages these approaches. Finally, future directions field classification, as well potential aid diagnosis treatment

Language: Английский

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