Publications by authors named "G G Li"

Broiler litter sampling has proven to be an effective method for determining the status of a broiler chicken flock and understanding the ecology of prior to harvest. In this study, we investigated the ecology of within the litter ( = 224) from two commercial broiler houses in the United States. We employed culture enrichment methods and quantitative polymerase chain reaction to determine the prevalence and load of and utilized antimicrobial susceptibility testing and whole-genome sequencing (WGS) to characterize select isolates.

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Protein asymmetry, while crucial for life, can arise from subtle stereoisomerization. However, a comprehensive understanding of the breadth and specificity of the whole stereoproteome (STEP) has been hindered by insufficient stereoisomeric resolution. Here, we introduce an untargeted, STEP discovery protocol for comprehensive STEP profiling and relative quantification.

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Background: Blood pressure (BP) management in patients with metabolic syndrome is complex, and optimal targets remain debated. The CRHCP (China Rural Hypertension Control Project) trial demonstrated that intensive BP control reduces cardiovascular events. This secondary analysis assessed its efficacy in patients with hypertension and metabolic syndrome.

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The utilization of plant-derived exosome-like nanovesicles (ELNs) as nanocarriers for oral delivery of bioactives has garnered significant attention. However, their distinctive lipid membrane composition may result in elevated membrane permeability within the gastrointestinal environment, leading to the leakage of carried bioactives. Inspired by the concept of projectile design, Tartary buckwheat-derived ELNs (TB-ELNs) based dual-carriers are fabricated by loading chlorogenic acid (CGA) into the cores and bonding selenium nanoparticles (SeNPs) to the lipid membrane.

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Background: Cognitive decline is a chronic condition which is characterized by a loss of the ability to remember, learn, and pay attention to complex tasks. Many older people are now suffering from cognitive decline, which decreases life quality and leads to disability. This study aimed to identify the risk and protective factors for cognitive decline of the older people from daily life and establish a predictive model using logistic regression.

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