Publications by authors named "Q W Shan"
There is limited statistical data on severe hepatitis among hospitalized children in China at a national level. This nationwide study analyzed data from 34,410 children hospitalized for severe hepatitis in mainland China from 2016 to 2022. The overall in-hospital mortality rate was 6.
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- The study examines the impact of oxidative stress on lactic acid bacteria used as probiotics, highlighting that oxidative stress can damage these bacteria, affecting their functionality.
- Researchers compared the oxidative stress tolerance of bacteria grown through solid-state fermentation (SSF) versus liquid-state fermentation (LSF) and found that SSF bacteria exhibited significantly higher tolerance.
- Gene editing identified specific genes (glpF and glpO) that play a crucial role in glycerol metabolism, key to improving SSF bacteria's resistance to oxidative stress, with oxygen levels during cultivation also influencing tolerance variations, which are species-specific.
Gut microbiota is a complex and dynamic system that plays critical roles in human health and various disease. Progressive chronic kidney disease (CKD) suggests that patients irreversibly progress to end-stage kidney disease and need renal replacement treatments, including dialysis and transplantation. Ample evidence indicates that local oxidative stress and inflammation play pivotal roles in the pathogenesis and progression of CKD and dysbiosis of gut microbiota.
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- - Breast cancer is the leading cause of cancer-related deaths among women in China, highlighting the urgent need for new biomarkers for diagnosis and treatment as current cellular molecules are ineffective.
- - LAT1 (SLC7A5) is significantly involved in the uptake of amino acids in breast cancer cells and is linked to several cancer behaviors like growth and drug resistance, varying in expression among different breast cancer types.
- - The article reviews LAT1's structure, function, and its emerging role as a potential diagnostic and therapeutic target, especially given advancements in small molecular inhibitors and nanotechnology aimed at treating breast cancer.
Background: Distinguishing latent tuberculosis infection (LTBI) from active tuberculosis (ATB) is very important. This study aims to analyze cases from multiple cohorts and get the signature that can distinguish LTBI from ATB.
Methods: Thirteen datasets were downloaded from the gene expression omnibus (GEO) database.