Publications by authors named "Siyin Wang"
Background: This study explores the relationship between different ART therapy based on NRTIs, and inflammatory markers, along with fasting blood glucose levels in treatment-naïve people living with HIV (PLWH).
Methods: We retrospectively analyzed the variations in fasting blood glucose and inflammatory markers and their relationship with different ART regimens in 497 treatment-naïve PLWH at the ART clinic of Zhongnan Hospital of Wuhan University from June 2018 to March 2022.
Results: From baseline to 24 months, fasting blood glucose, systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV) and lymphocyte-to-monocyte ratio (LMR) in PLWH receiving ART increased, while neutrophillymphocyte ratio (NLR) decreased ( < .
Sugar transporters play important roles in controlling carbohydrate transport and are responsible for mediating the movement of sugars into cells in numerous organisms. In insects, sugar transporters not only play a role in sugar transport but may also act as receptors for virus entry and the accumulation of plant defense compounds. The brown planthopper, , inflicts damage on rice plants by feeding on their phloem sap, which is rich in sugars.
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- Inflammation and lipid infiltration are crucial factors in atherosclerosis, with a study investigating their association with coronary artery stenosis severity and their predictive value for coronary heart disease (CHD).
- Conducted on 3,201 patients, the study classified them into CHD and non-CHD groups, and further segmented the CHD group based on severity scores to analyze various blood cell types and lipid levels.
- Results showed that the systemic inflammation-response index/high-density lipoprotein cholesterol ratio (SIRI/HDL) had a strong correlation with severity scores and higher diagnostic efficacy for CHD, while the monocyte to high-density lipoprotein cholesterol ratio (MHR) was a strong independent risk factor.
Purpose: This study implements and demonstrates a deep learning (DL) approach for screening referable horizontal strabismus based on primary gaze photographs using clinical assessments as a reference. The purpose of this study was to develop and evaluate deep learning algorithms that screen referable horizontal strabismus in children's primary gaze photographs.
Methods: DL algorithms were developed and trained using primary gaze photographs from two tertiary hospitals of children with primary horizontal strabismus who underwent surgery as well as orthotropic children who underwent routine refractive tests.