Publications by authors named "S J Mao"

Enzootic nasal tumor virus 2 (ENTV2), the etiologic agent of enzootic nasal adenocarcinoma (ENA) in goats, is highly prevalent in China and causes significant economic losses to the goat industry. Here we describe the occurrence of ENA on a Dazu black goat farm in Chongqing City. At autopsy, nasal cavity masses were observed within the nose of an affected goat; histologically, the tumor was a nasal adenocarcinoma.

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Background: Cardiac hypertrophy is characterized by the upregulation of fetal genes, increased protein synthesis, and enlargement of cardiac myocytes. The mechanistic target of rapamycin complex 1 (mTORC1), which responds to fluctuations in cellular nutrient and energy levels, plays a pivotal role in regulating protein synthesis and cellular growth. While attempts to inhibit mTORC1 activity, such as through the application of rapamycin and its analogs, have demonstrated limited efficacy, further investigation is warranted.

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Introduction: Antimicrobial peptides (AMPs) present a promising avenue to combat the growing threat of antibiotic resistance. The ruminant gastrointestinal microbiome serves as a unique ecosystem that offers untapped potential for AMP discovery.

Objectives: The aims of this study are to develop an effective methodology for the identification of novel AMPs from ruminant gastrointestinal microbiomes, followed by evaluating their antimicrobial efficacy and elucidating the mechanisms underlying their activity.

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Mitochondria, commonly referred to as "energy factories"of cells, play a crucial role in the function and survival of cardiomyocytes. However, as research on cardiac fibrosis has advanced, mitochondrial dysfunction(including changes in energy metabolism, calcium ion imbalance, increased oxidative stress, and apoptosis)is now recognized as a significant pathophysiological pathway involved in cardiac remodeling and progression, which also negatively affects the function and structure of the heart. In recent years, research focusing on targeting mitochondria has gained significant attention, offering new approaches for treating cardiac fibrosis.

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With the continuous development of intelligent transportation systems, traffic safety has become a major societal concern, and vehicle trajectory anomaly detection technology has emerged as a crucial method to ensure safety. However, current technologies face significant challenges in handling spatiotemporal data and multi-feature fusion, including difficulties in big data processing, and have room for improvement in these areas. To address these issues, this paper proposes a novel method that combines autoencoders, Mahalanobis distance, and dynamic Bayesian networks for anomaly detection.

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