Publications by authors named "C T Y Liu"

Background: A systematic appraisal of the comparative efficacy and safety profiles of naso-intestinal tube versus gastric tube feeding in the context of enteral nutrition for mechanically ventilated (MV) patients is imperative. Such an evaluation is essential to inform clinical practice, ensuring that the chosen method of nutritional support is both optimal and safe for this patient population.

Methods: We executed an exhaustive search across PubMed et al.

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Digestive and psychiatric disorders tend to co-occur, yet mechanisms remain unclear. Leveraging genetic and transcriptomic data integration, we conduct multi-trait analysis of GWAS (MTAG) and weighted gene co-expression network analysis (WGCNA) to explore shared mechanism between psychiatric and gastrointestinal disorders. Significant genetic correlations were found between these disorders, especially in irritable bowel syndrome (IBS), gastroesophageal reflux disease (GERD), depression (DEP), and neuroticism (NE).

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Middle-aged obesity, characterized by excessive fat accumulation and systemic energy imbalance, often precedes various health complications. Recent research has unveiled a surprising link between DNA damage response and energy metabolism. Here, we explore the role of Eepd1, a DNA repair enzyme, in regulating adipose tissue function and obesity onset.

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The mining industry produces a large amount of industrial solid waste every year. Among them, fly ash (FA), slag and tailings are the three main solid wastes, which can cause soil pollution, air pollution, water pollution and serious threat to human health if not handled properly. At present, the treatment methods of industrial solid waste mainly include direct landfill, recovery of high-value components, production of construction materials, etc.

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Background: Studies on how birth body mass index (BMI) affects health outcomes in preterm infants are relatively limited.

Aim: To analyze the association between BMI at birth and neonatal health outcomes in extremely low and very low birth weight preterm infants in China.

Methods: Used data from the Chinese Premature Infant Informatization Platform (2022-2023).

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