Publications by authors named "Hyojung Lee"

Over the past few decades, dental implants have been successfully utilized to replace teeth lost due to periodontal disease and other conditions. However, similar to natural teeth, dental implants are vulnerable to inflammatory peri-implant diseases, which can compromise their long-term viability. This review aims to summarize the current understanding of peri-implant diseases and discuss effective strategies for their diagnosis, treatment, and long-term management.

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Background: This study investigated the oral microbiome signatures associated with upper gastrointestinal (GI) and pancreaticobiliary cancers.

Methods: Saliva samples from cancer patients and age- and sex-matched healthy controls were analyzed using 16S rRNA-targeted sequencing, followed by comprehensive bioinformatics analysis.

Results: Significant dissimilarities in microbial composition were observed between cancer patients and controls across esophageal cancer (EC), gastric cancer (GC), biliary tract cancer (BC), and pancreatic cancer (PC) groups (R = 0.

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Context: Fragility fractures in young adults present significant clinical challenges due to the limited evidence on the effectiveness of bisphosphonates in preventing subsequent fractures.

Objective: To evaluate the effectiveness of bisphosphonate therapy in reducing the fracture risk among premenopausal women with a history of osteoporotic fractures.

Design: A population-based retrospective cohort study was conducted using data from the National Health Insurance Service-National Sample Cohort (NHIS-NSC) in South Korea, covering the years 2003 to 2014.

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Introduction: In this study, we used a mathematical epidemic model to explore the status of the HIV epidemic in the USA and Pakistan. In addition to studying the dynamics of the model, we fitted the model with recent data to estimate the parameters describing the epidemic in both countries.

Results: Our estimation shows that in the USA, the reproduction number is 0.

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  • Studying the impacts of climate change on oceanic carbon cycling is crucial for improving carbon sequestration efforts, particularly in the Ulleung Basin.
  • From 2011 to 2017, research showed that particulate organic carbon (POC) flux increased significantly during the El Niño years, with rises of 37%, 56%, and 43%.
  • Analysis of water current data indicated that current variability plays a key role in enhancing particle transport, influencing the increased flux of sinking particles during the El Niño phase.
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  • * A study introduced a new diagnostic method using circulating biomarkers, specifically analyzing breast cancer-derived extracellular vesicles (BEVs) to improve screening accuracy.
  • * Researchers identified a unique signature of five miRNAs that distinguished breast cancer patients from healthy individuals, revealing insights into tumor behavior and potential survival outcomes, paving the way for more personalized cancer treatment.
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  • HER2-targeted therapies are effective for HER2-positive breast cancer, and recent research shows that they can also help patients with low HER2 expression, making it essential to identify this subgroup.
  • The study suggests tumor-derived extracellular vesicles (TEVs) could serve as diagnostic tools to reflect HER2 status, validated through tests on breast cancer cell lines and patient plasma samples.
  • The method showed promise in distinguishing HER2-negative from HER2-low patients, achieving a sensitivity of 53.8% and perfect specificity, highlighting the need for more research in this area.
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  • - The study analyzed changes in particulate matter (PM) in Northeast Asia, focusing on emission reduction efforts following two major air quality campaigns in 2016 and 2022 around the Korean Peninsula, using ground, aircraft measurements, and simulations.
  • - Significant reductions in air pollutants were observed, with PM and sulfur dioxide (SO) concentrations in the Beijing-Tianjin-Hebei region dropping by 47.2% and 73.9%, respectively, due to effective emission strategies, also reflecting similar trends in Seoul.
  • - WRF-Chem model results indicated overall decreases in particulate pollutants, with shifts in their formation processes and transport patterns, revealing that the dominant factor for improving air quality was enhanced emission reduction measures rather than
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Epidemiological parameters such as the reproduction number, latent period, and infectious period provide crucial information about the spread of infectious diseases and directly inform intervention strategies. These parameters have generally been estimated by mathematical models that involve an unrealistic assumption of history-independent dynamics for simplicity. This assumes that the chance of becoming infectious during the latent period or recovering during the infectious period remains constant, whereas in reality, these chances vary over time.

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Though Ginsenoside F2 (GF2), a protopanaxadiol saponin from Panax ginseng, is known to have an anticancer effect, its underlying mechanism still remains unclear. In our model, the anti-glycolytic mechanism of GF2 was investigated in human cervical cancer cells in association with miR193a-5p and the β-catenin/c-Myc/Hexokinase 2 (HK2) signaling axis. Here, GF2 exerted significant cytotoxicity and antiproliferation activity, increased sub-G1, and attenuated the expression of pro-Poly (ADPribose) polymerase (pro-PARP) and pro-cysteine aspartyl-specific protease (procaspase3) in HeLa and SiHa cells.

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Introduction: African swine fever (ASF) is a disease with a high mortality rate and high transmissibility. Identifying high-risk clusters and understanding the transmission characteristics of ASF in advance are essential for preventing its spread in a short period of time. This study investigated the spatial and temporal heterogeneity of ASF in the Republic of Korea by analyzing surveillance data on wild boar carcasses.

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The oral cavity provides an ideal environment for microorganisms, including bacteria, viruses, and fungi, to flourish. Increasing attention has been focused on the connection between the oral microbiome and both oral and systemic diseases, spurring active research into the collection and analysis of specimens for healthcare purposes. Among the various methods for analyzing the oral microbiome, saliva analysis is especially prominent.

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Introduction: The COVID-19 pandemic has profoundly impacted global health systems, requiring the monitoring of infection waves and strategies to control transmission. Estimating the time-varying reproduction number is crucial for understanding the epidemic and guiding interventions.

Methods: Probability distributions of serial interval are estimated for Pre-Delta and Delta periods.

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  • Intranasal infection is a common method to study SARS-CoV-2 in mice, but it often results in high mortality rates, limiting research on non-fatal COVID-19 cases.
  • Substituting intranasal administration with aerosolized inhalation shows unique and milder pathological features that align better with COVID-19 symptoms seen in patients, such as chest CT patterns.
  • The research indicates that the inhalation model allows for the study of long COVID and related interventions by mimicking non-fatal COVID-19 conditions more effectively than the intranasal method.
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In this study, we explored the oncogenic mechanism of cleavage and polyadenylation-specific factor 6 (CPSF6) in hepatocellular carcinoma (HCC). CPSF6 was overexpressed in HCC tissues with poor survival rates compared to normal tissues. Hence, CPSF6 depletion suppressed cell viability and colony formation, induced apoptosis via PARP cleavage, and increased the sub-G1 population of Hep3B and Huh7 cells.

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Clinical outcome after traumatic brain injury (TBI) is closely associated conditions of other organs, especially lungs as well as degree of brain injury. Even if there is no direct lung damage, severe brain injury can enhance sympathetic tones on blood vessels and vascular resistance, resulting in neurogenic pulmonary edema. Conversely, lung damage can worsen brain damage by dysregulating immunity.

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Introduction: This paper presents a comprehensive analysis of COVID-19 transmission dynamics using an infection network derived from epidemiological data in South Korea, covering the period from January 3, 2020, to July 11, 2021. The network illustrates infector-infectee relationships and provides invaluable insights for managing and mitigating the spread of the disease. However, significant missing data hinder conventional analysis of such networks from epidemiological surveillance.

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Background: The long-term mortality and morbidity of patients with severe fever with thrombocytopenia syndrome (SFTS) remain unclear.

Methods: This retrospective cohort study was conducted using the National Health Insurance Service dataset on hospitalized patients with SFTS aged ≥20 years between 2016 and 2021 (n = 1,217). Each SFTS case was matched with three controls hospitalized for non-SFTS-related diseases using propensity score matching.

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COVID-19 is caused by the SARS-CoV-2 virus, which has produced variants and increasing concerns about a potential resurgence since the pandemic outbreak in 2019. Predicting infectious disease outbreaks is crucial for effective prevention and control. This study aims to predict the transmission patterns of COVID-19 using machine learning, such as support vector machine, random forest, and XGBoost, using confirmed cases, death cases, and imported cases, respectively.

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Purpose: The objective of this study was to assess postoperative direct medical expenses and medical utilization of elderly patients who underwent either hemiarthroplasty (HA) or internal fixation (IF) for treatment of a femoral intertrochanteric fracture and to analyze differences according to surgical methods and age groups.

Materials And Methods: Data from the 2011 to 2018 Korean National Health Insurance Review & Assessment Service database were used. Risk-set matching was performed for selection of controls representing patients with the same sex, age, and year of surgery.

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Viral load and the duration of viral shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are important determinants of the transmission of coronavirus disease 2019. In this study, we examined the effects of viral doses on the lung and spleen of K18-hACE2 transgenic mice by temporal histological and transcriptional analyses. Approximately, 1×10 plaque-forming units (PFU) of SARS-CoV-2 induced strong host responses in the lungs from 2 days post inoculation (dpi) which did not recover until the mice died, whereas responses to the virus were obvious at 5 days, recovering to the basal state by 14 dpi at 1×10 PFU.

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Purpose: Colorectal cancer (CRC) is the most frequent cancer with limited therapeutic achievements. Recently, adoptive cellular immunotherapy has been developed as an antitumor therapy. However, its efficacy has not been tested in CRC.

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Objective: Next generation sequencing is commonly used to characterize the microbiome structure. MiSeq is most commonly used to analyze the microbiome due to its relatively long read length. Illumina also introduced the 250 × 2 chip for NovaSeq.

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Background: The objective of our study was to analyze the postoperative direct medical expenses and hospital lengths of stay (LOS) of elderly patients who had undergone either hemiarthroplasty (HA) or total hip arthroplasty (THA) for femoral neck fractures and to determine the indication of THA by comparing those variables between the 2 groups by time.

Methods: In this comparative large-sample cohort study, we analyzed data from the 2011 to 2018 Korean National Health Insurance Review and Assessment Service database. The included patients were defined as elderly individuals aged 60 years or older who underwent HA or THA for a femoral neck fracture.

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  • The study investigated high concentrations of particulate matter (PM) after a cold front passed in January 2018, using the WRF and CMAQ models to analyze the meteorological and pollution changes.
  • The analysis divided the event into two stages, noting that Stage 2 had a higher contribution from vertical advection due to atmospheric conditions after the cold front compared to Stage 1.
  • Key findings included the impact of meteorological factors like temperature drops and increased wind and humidity on PM levels, highlighting how varying synoptic patterns can alter air pollution dynamics in the region.
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