Caffeine and Theophylline Inhibit β-Galactosidase Activity and Reduce Expression in <i>Escherichia coli</i>

Horne, Jesse; Beddingfield, Elizabeth; Knapp, Madison; Mitchell, Stephanie L.; Crawford, Logan; Mills, Shelby Brooks; Wrist, Alexandra; Zhang, Shuyuan; Summers, Ryan M.

doi:10.1021/acsomega.0c03909

Cited by 18 publications

(5 citation statements)

References 33 publications

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“…Furthermore, caffeine has multiple biological effects in the lungs, such as the mediation of autophagy 101 and regulation of the intestinal flora. 102 Lung autophagy dysfunction 103 and changes in lung microecology 104 have been identified in cases of BPD. These biological effects may be a further direction to explore the pathological mechanism of caffeine in preventing BPD.…”

Section: Diuretic Effectsmentioning

confidence: 99%

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Caffeine and bronchopulmonary dysplasia: Clinical benefits and the mechanisms involved

Yuan

Yang

Lei

et al. 2022

Pediatric Pulmonology

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Bronchopulmonary dysplasia (BPD) is a chronic respiratory disease that occurs during the neonatal period and is commonly associated with prematurity. This condition results in a severe economic burden on society and the families involved. Caffeine is used not only for the treatment of apnea in prematurity, but also for the prevention of BPD. There are multiple clinical benefits of caffeine treatment, including improved extubation success, a reduced duration of mechanical ventilation, improved lung function, and a reduction of patent ductus arteriosus requiring treatment. These clinical benefits of caffeine for the treatment of BPD are supported by both clinical trials and evidence from animal models. However, the mechanism by which caffeine protects against BPD remains unclear. Here, we review the clinical value of caffeine in the prevention of BPD and its potential mechanisms of action, including anti‐inflammatory, antioxidant, antifibrotic, and antiapoptotic properties, the regulation of angiogenesis, and diuretic effects. Our aim is to provide a new theoretical basis for the clinical treatment of BPD.

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Section: Diuretic Effectsmentioning

confidence: 99%

“…Furthermore, caffeine has multiple biological effects in the lungs, such as the mediation of autophagy 101 and regulation of the intestinal flora 102 . Lung autophagy dysfunction 103 and changes in lung microecology 104 have been identified in cases of BPD.…”

Section: The Mechanism Of Action Of Caffeine In the Lungsmentioning

confidence: 99%

Caffeine and bronchopulmonary dysplasia: Clinical benefits and the mechanisms involved

Yuan

Yang

Lei

et al. 2022

Pediatric Pulmonology

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“…Concurrently, machine learning technologies, especially the application of Extreme Gradient Boosting Decision Trees (XGBoost), have been employed to enhance the accuracy of malaria diagnostic tools [16,17]. This precision measurement technology not only increases diagnostic accuracy but also reduces costs, making malaria detection more widespread and economically feasible [18,19]. The integration of these technologies marks a significant improvement in malaria treatment methods, demonstrating how modern science plays a crucial role in addressing global health challenges.…”

Section: Development History and Research Status Of Amodiaquinementioning

confidence: 99%

Process Flow for the Research, Development, and Manufac-Turing of Amodiaquine Dihydrochloride Dihydrate, an Anti-Malarial Drug

Yang

2022

IAET

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This study focuses on the synthesis of amodiaquine dihydrochloride dihydrate and evaluates the performance of a new process against existing methods using several key indicators. The target compounds were synthesized successfully through experimental design and data collection, with their quality thoroughly assessed. Results indicate that the new process significantly enhances yield, purity, and crystal structure. Also, by utilizing highly efficient catalysts and finely tuning reaction conditions, the improvements in yield and purity are substantial. The new process not only enhances production efficiency but also significantly reduces waste, aligning well with the principles of green chemistry. Additionally, this paper discusses the potential industrial application of the new process. Despite facing challenges such as equipment costs, scale-up, and market acceptance in its industrialization, the new process's superior performance and promising prospects provide a strong foundation for its future implementation.

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“…Consequently, there is a growing trend to shift inference processes from the cloud to edge devices for real-time tasks like video object detection and segmentation. Current edge device capabilities, however, limit their use for real-time DL model inference and the application in other domains such as biology and finance [18][19][20][21] . Moreover, transferring data over networks consumes more energy than local processing due to the high cost of network transmission.…”

Section: Introductionmentioning

confidence: 99%

Double-Compressed Artificial Neural Network for Efficient Model Storage in Customer Churn Prediction

Lisang Zhou,

Zhang,

Zhou

2024

artif. intell. adv.

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In the rapidly evolving field of Artificial Intelligence (AI), efficiently storing and managing AI models is crucial, particularly as their complexity and size increase. This paper explores the strategic importance of AI model storage, focusing on performance, cost-efficiency, and scalability within the realm of customer churn prediction, utilizing model compression technologies. Deep learning networks, integral to AI models, have become increasingly large, necessitating millions of parameters. These parameters make the models computationally expensive and voluminous in storage requirements. Addressing these issues, the paper discusses the application of model compression techniques—specifically pruning and quantization—to mitigate the storage and computational challenges. The experimental results demonstrated the effectiveness of the proposed method. These techniques reduce the physical footprint of AI models and enhance their processing efficiency, making them suitable for deployment on resource-constrained devices. Using these models in customer churn prediction in telecommunications illustrates their potential to improve service delivery and decision-making processes. By compressing models, telecom companies can better manage and analyze large datasets, enabling more effective customer retention strategies and maintaining a competitive edge in a dynamic market.

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Caffeine and Theophylline Inhibit β-Galactosidase Activity and Reduce Expression in Escherichia coli

Cited by 18 publications

References 33 publications

Caffeine and bronchopulmonary dysplasia: Clinical benefits and the mechanisms involved

Caffeine and bronchopulmonary dysplasia: Clinical benefits and the mechanisms involved

Process Flow for the Research, Development, and Manufac-Turing of Amodiaquine Dihydrochloride Dihydrate, an Anti-Malarial Drug

Double-Compressed Artificial Neural Network for Efficient Model Storage in Customer Churn Prediction

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