Publications by authors named "Y Sungtaek Ju"

Background: Many districts in rural areas of Korea are facing population decline due to the aging population phenomenon. This study examined the associations of rural residency with the likelihood of receiving hypertension management education and nonpharmacological and pharmacological treatment.

Methods: Data from the 2022 Korea Community Health Survey were used to identify individuals aged 19 years or above diagnosed with hypertension.

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Mycobacterium abscessus (Mab) poses serious therapeutic challenges, largely due to its intrinsic resistance to many antibiotics. The development of targeted therapeutic strategies necessitates the identification of bacterial factors that contribute to its reduced susceptibility to antibiotics and/or to the killing by its host cells. In this study, we discovered that Mab strains with disrupted mtrA, mtrB or both, or a gene-edited mtrA encoding MtrA with Tyr102Cys mutation, exhibited highly increased sensitivity to various drugs compared to the wild-type Mab.

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Edible insects, characterized by their eco-friendly nature and high nutrient value, are promising protein sources. Therefore, we aimed to assess the suitability of insects as source ingredients for surimi, a widely-used, intermediate food material. Mealworm ( L.

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Background: For non-small-cell lung cancer (NSCLC) patients who progressed after first-line chemotherapy, immunotherapy targeting programmed cell death (ligand) 1 has shown promising activity. However, the activity is relatively limited in patients harboring epidermal growth factor receptor (EGFR) mutations.

Objectives: This study aimed to evaluate the efficacy and safety of camrelizumab plus famitinib in previously treated patients with locally advanced and metastatic NSCLC.

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Article Synopsis
  • The study aimed to identify factors predicting poor outcomes after lobar intracerebral hemorrhage (ICH) and to create models for predicting unfavorable functional results or death within three months.
  • The research involved 322 patients from Beijing, using statistical methods like LASSO analysis to select variables and multivariable logistic regression to analyze outcomes.
  • Key predictive factors included age, the volume of ICH, and certain health conditions, while the developed models showed excellent accuracy in predicting outcomes, aiding in clinical decision-making.
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