Publications by authors named "Qingrong Ji"

Article Synopsis
  • The gut microbiota is crucial for human health, and machine learning is being used to predict diseases based on microbiota data, but accuracy is often compromised due to factors like small sample sizes and class imbalance.
  • MicroHDF is a deep learning framework designed to improve predictions of host phenotypes by effectively handling issues like class imbalance and high-dimensional data, showing competitive results across various diseases.
  • The experimental findings indicate that MicroHDF outperforms existing methods, particularly in predicting inflammatory bowel disease and liver cirrhosis, while also being robust in validating results across different studies and identifying potential biomarkers for high-risk diseases.
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Objective: Surgery is the primary strategy for treating phaeochromocytoma (PCC), but it can lead to severe hypertension and heart failure. Although valsartan is effective in reducing high blood pressure, clinical data on the potential role of valsartan in PCC are currently limited. Therefore, the aim of this study was to investigate the effects of pretreatment with terazosin and valsartan on patients with PCC.

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Myocardial infarction (MI) is an acute coronary syndrome that refers to tissue infarction of the myocardium. This study aimed to investigate the effect of long intergenic non-protein-coding RNA (lincRNA) ATPase plasma membrane Ca transporting 1 antisense RNA 1 (ATP2B1-AS1) against MI by targeting nuclear factor-kappa-B inhibitor alpha (NFKBIA) and mediating the nuclear factor-kappa-B (NF-κB) signalling pathway. An MI mouse model was established and idenepsied by cardiac function evaluation.

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Vascular calcification is highly prevalent in patients with type 2 diabetes mellitus (T2DM), one of the most common chronic diseases with high morbidity and mortality. In recent years, microRNAs have been widely reported as potential biomarkers for the diagnosis and treatment of T2DM. We hypothesized that miR-128-3p is associated with cardiovascular calcification and insulin resistance (IR) in rats with T2DM by targeting ISL1 via the Wnt pathway.

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Objective: To study whether sevoflurane pretreatment inhibits the myocardial apoptosis caused by hypoxia reoxygenation through AMPK pathway.

Methods: H9c2 myocardial cell lines were cultured and divided into control group (C group), hypoxia reoxygenation group (H/R group), sevoflurane pretreatment + hypoxia reoxygenation group (SP group) and sevoflurane combined with Compound C pretreatment + hypoxia reoxygenation group (ComC group), and the cell proliferation activity and apoptosis rate, myocardial enzyme levels in culture medium as well as the expression of apoptosis genes and p-AMPK in cells were determined.

Results: p-AMPK expression in cells of H/R group was significantly lower than that of C group, SP group was significantly higher than that of H/R group; cell proliferation activity value and Bcl-2 expression in cells of H/R group were significantly lower than those of C group, SP group were significantly higher than those of H/R group, ComC group were significantly lower than those of SP group; apoptosis rate, LDH, CK and AST levels as well as the Bax and Caspase-3 expression in cells of H/R group were significantly higher than those of C group, SP group were significantly lower than those of H/R group, ComC group were significantly higher than those of SP group.

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