Publications by authors named "Hyowook Gil"

Kidney fibrosis causes irreversible structural damage in chronic kidney disease and is characterized by aberrant extracellular matrix (ECM) accumulation. Although glutamyl-prolyl-tRNA synthetase 1 (EPRS1) is a crucial enzyme involved in proline-rich protein synthesis, its role in kidney fibrosis remains unclear. The present study revealed that EPRS1 expression levels were increased in the fibrotic kidneys of patients and mice, especially in fibroblasts and proximal tubular epithelial cells, on the basis of single-cell analysis and immunostaining of fibrotic kidneys.

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Background: Uremic toxins resulting from chronic kidney disease (CKD) can cause cognitive and emotional disorders, as well as cardiovascular diseases. Indoxyl sulfate (IS) and p-cresol are notable uremic toxins found in patients with CKD. However, few studies have investigated whether reducing uremic toxins can alleviate cognitive and emotional disorders associated with CKD.

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Rationale: Peritonitis caused by Pantoea agglomerans is a rare occurrence in patients undergoing peritoneal dialysis. Cases potentially linked to pet dogs are even rarer, and there is limited literature available.

Patient Concerns: A patient undergoing peritoneal dialysis presented with symptoms of peritonitis, including abdominal pain and cloudy dialysis fluid.

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Article Synopsis
  • Acute kidney injury (AKI) poses serious health risks and financial burdens, prompting efforts to prevent and predict it using artificial intelligence (AI).
  • Recent advancements in AI show potential for early detection of AKI and prognosis prediction, but integrating these systems into everyday clinical practice remains difficult due to data challenges and model limitations.
  • To enhance the effectiveness of AI in predicting AKI, it's important to establish standardized criteria, encourage international collaboration for better data collection, and improve the reliability of AI outputs in real-world healthcare settings.
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Falls represent a significant risk factor, necessitating accurate classification methods. This study aims to identify the optimal placement of wearable sensors-specifically accelerometers, gyroscopes, and magnetometers-for effective fall-direction classification. Although previous research identified optimal sensor locations for distinguishing falls from non-falls, limited attention has been given to the classification of fall direction across different body regions.

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It has been reported that a scenario-based cognitive behavioral therapy mobile app including Todac Todac was effective in improving depression in the general public. However, no study has been conducted on whether Todac Todac is effective in dialysis patients. Therefore, this study was intended to determine whether the use of this app was effective in improving depression in dialysis patients.

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Background: Receptor-interacting protein kinase (RIPK)3 is an essential molecule for necroptosis and its role in kidney fibrosis has been investigated using various kidney injury models. However, the relevance and the underlying mechanisms of RIPK3 to podocyte injury in albuminuric diabetic kidney disease (DKD) remain unclear. Here, we investigated the role of RIPK3 in glomerular injury of DKD.

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Background: Acute kidney injury (AKI) is a significant challenge in healthcare. While there are considerable researches dedicated to AKI patients, a crucial factor in their renal function recovery, is often overlooked. Thus, our study aims to address this issue through the development of a machine learning model to predict restoration of kidney function in patients with AKI.

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  • Acute kidney injury (AKI) significantly impacts energy metabolism in various organs, particularly the liver, as shown in a study using murine models.
  • The study found that 24 hours post-AKI, the liver displayed unique metabolic changes, including increased glycolysis, depleted glutathione levels, and ATP depletion despite stable mitochondrial respiration.
  • These findings suggest a complex interplay between the liver and kidneys during AKI, highlighting the liver's role in systemic oxidative stress and metabolic adaptation.
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  • The study analyzed kidney biopsy results from 237 patients with Type 2 diabetes to reassess the role of biopsies in predicting renal outcomes related to diabetic kidney disease (DKD).
  • Results showed that a significant percentage of diabetic patients had varying forms of kidney disease, with DKD alone having the highest progression rate to end-stage kidney disease (ESKD).
  • The findings suggest that kidney biopsies provide valuable insights for identifying patients with non-DKD and help predict worsening kidney conditions, guiding more effective treatment approaches.
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Background: Neurologic complications, such as cognitive and emotional dysfunction, have frequently been observed in chronic kidney disease (CKD) patients. Previous research shows that uremic toxins play a role in the pathogenesis of CKD-associated cognitive impairment. Since astrocytes contribute to the protection and survival of neurons, astrocyte function and brain metabolism may contribute to the pathogenesis of neurodegeneration.

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  • Chronic kidney disease is a growing health issue globally, and past research on its genetic factors has mostly centered around individuals of European ancestry.
  • This study analyzed genetic data from over 58,000 Korean participants, identifying 1,360 significant loci linked to renal function measurements like estimated glomerular filtration rate (eGFR).
  • The research highlighted 18 specific SNPs related to kidney traits, discovering both known and novel variants, and found these genes to be primarily active in kidney and liver pathways.
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Background: Chronic kidney disease (CKD)-associated pruritus is a severe distressing condition that frequently occurs in patients undergoing dialysis. In this study, the profile of the skin microbiome was analyzed to understand the underlying etiology and potential treatments.

Methods: Seventy-six end-stage kidney disease (ESKD) patients (hemodialysis, 40; peritoneal dialysis, 36) and 15 healthy controls were enrolled and swabbed at three sites: back, antecubital fossa, and shin.

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Background: Patients with kidney failure must make complicated decisions about the dialysis modalities used either at home or in-hospital. Different options have varying levels of impact on patients' physical and psychological conditions and their social life. The purpose of this study was to evaluate the implementation of an intervention designed to achieve shared decision making (SDM) in patients' options for dialysis.

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  • * Researchers monitored 55 hemodialysis patients using a patch ECG device for 72 hours to track heart rhythm and variability during these long breaks from treatment.
  • * Results showed that while significant arrhythmia rates remained stable, indicators of heart health (like RMSSD and HF) improved over time, with worse outcomes linked to reduced autonomic response during dialysis breaks.
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  • * Research using rats with CKD demonstrated deficits in learning, memory, and spatial awareness, alongside changes in hippocampus structure and function, highlighting a connection to cognitive decline.
  • * In end-stage renal disease patients, a significant reduction in hippocampus volume was observed, suggesting that declining kidney function might damage the blood-brain barrier and contribute to cognitive impairments.
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Introduction: Albuminuria is a well-known risk factor for end-stage kidney disease, all-cause mortality, and cardiovascular mortality, even when the albumin-to-creatinine ratio is <30 mg/g. However, the association between transiently observed trace albuminuria and these major adverse outcomes has not yet been reported. This study aimed to examine the effect of transient albuminuria on these major adverse outcomes using the National Health Insurance Service data in Korea.

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  • Expanded hemodialysis (HD) using medium cut-off (MCO) membranes is believed to better remove larger middle molecules, but its long-term benefits are not well-documented.
  • A three-year observational study assessed the efficacy and safety of expanded HD by comparing inflammatory cytokine levels and clinical outcomes between patients using MCO and high-flux (HF) dialyzers.
  • Results showed no significant differences in inflammatory cytokines, mortality, cardiovascular events, infections, or hospitalizations between the two groups, indicating similar clinical outcomes for both types of dialysis.
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Chronic kidney disease (CKD) leads to cognitive impairment and emotional changes. However, the precise mechanism underlying the crosstalk between the kidneys and the nervous system is not fully understood. Inflammation and cerebrovascular disease can influence the development of depression in CKD.

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  • * It analyzed data from 679 patients, splitting them into training (509) and testing (170) groups to develop and validate the scoring model using factors like age, pesticide type, ingestion amount, Glasgow Coma Scale, and arterial pH.
  • * The PREP scoring system showed strong predictive accuracy for respiratory failure, with four risk categories defined to determine the need for mechanical ventilation, but further studies are needed for validation.
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Introduction: Previous studies have revealed that the COVID-19 pandemic can cause psychological distress such as depression and anxiety. Patients with chronic kidney disease (CKD) might be more vulnerable to psychological distress due to the COVID-19 pandemic. Its impact could be different according to dialysis modality.

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  • A study investigated the relationship between pericoronary fat attenuation index (FAI) on CT angiography and long-term mortality in chronic kidney disease (CKD) patients, especially those with end-stage renal disease (ESRD).
  • The research included 268 CKD patients, focusing on the left anterior descending artery (LAD) FAI measurements, and found that elevated FAI values in ESRD patients significantly increased their risk of all-cause mortality.
  • The findings suggest that monitoring pericoronary FAI could help identify ESRD patients at higher risk, allowing for potential early interventions.
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  • - The study focuses on improving the diagnosis of coronary artery disease by using three convolutional neural network (CNN) models to analyze CT images, which traditionally require time-consuming manual review by radiologists.
  • - Researchers experimented with different types of CT images: original scans, images focused solely on the heart, and those segmented into nine parts to assess the presence of calcium buildup.
  • - The best results came from using the Resnet 50 model on the cropped heart images, achieving an accuracy of 98.52%, suggesting that future advancements could lead to automated analysis of coronary artery calcium in CT scans.
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Sudden cardiac arrest can leave serious brain damage or lead to death, so it is very important to predict before a cardiac arrest occurs. However, early warning score systems including the National Early Warning Score, are associated with low sensitivity and false positives. We applied shallow and deep learning to predict cardiac arrest to overcome these limitations.

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Background: Dipeptidyl peptidase-4 (DPP-4) inhibitor has been reported to have kidney-protective benefits. To elucidate how antidiabetic agents prevent diabetic kidney disease progression, it is important to investigate their effect on the kidney environment in type 2 diabetes mellitus (DM) patients. Herein, we investigated the expression pattern of urinary exosome-derived microRNA (miRNA) in patients taking a combination of DPP-4 inhibitor and metformin (DPP-4 inhibitor group) and compared them with patients taking a combination of sulfonylurea and metformin (sulfonylurea group).

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