Publications by authors named "J-M Kim"

Polioviruses have caused crippling disease in humans for centuries, prior to the successful development of vaccines in the mid-1900's, which dramatically reduced disease prevalence. Continued use of these vaccines, however, threatens ultimate disease eradication and achievement of a polio-free world. Virus-like particles (VLPs) that lack a viral genome represent a safer potential vaccine, although they require particle stabilization.

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Background: Following maternal COVID-19 vaccination, the persistence of antibodies in sera and breast milk for mothers and infants is not well characterized. We sought to describe the persistence of antibodies through 2 months after delivery in maternal and infant serum and breast milk following maternal COVID-19 mRNA vaccination and to examine differences by receipt of booster dose during pregnancy or postpartum.

Methods: This is a prospective cohort study with enrollment from July 2021 to January 2022 at 9 US academic sites.

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Effective targeting of somatic cancer mutations to enhance the efficacy of cancer immunotherapy requires an individualized approach. Autogene cevumeran is a uridine messenger RNA lipoplex-based individualized neoantigen-specific immunotherapy designed from tumor-specific somatic mutation data obtained from tumor tissue of each individual patient to stimulate T cell responses against up to 20 neoantigens. This ongoing phase 1 study evaluated autogene cevumeran as monotherapy (n = 30) and in combination with atezolizumab (n = 183) in pretreated patients with advanced solid tumors.

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Background: Preeclampsia is a hypertensive disorder of pregnancy characterized by systemic endothelial dysfunction. The pathophysiology of preeclampsia remains incompletely understood. This study used human venous endothelial cell (EC) transcriptional profiling to investigate potential novel mechanisms underlying EC dysfunction in preeclampsia.

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Rationale And Objectives: The prognostic role of computed tomography (CT)-defined skeletal muscle features in COVID-19 is still under investigation. The aim of the present study was to evaluate the prognostic role of CT-defined skeletal muscle area and density in patients with COVID-19 in a multicenter setting.

Materials And Methods: This retrospective study is a part of the German multicenter project RACOON (Radiological Cooperative Network of the COVID-19 pandemic).

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Parental supply of alcohol to adolescents is associated with increased risk of subsequent adolescent alcohol use and harms, so identifying factors associated with parents' decision-making is critical. This study examined how parental supply is associated with attitudes toward adolescent alcohol use, perceived norms of parental supply, perceived behavioural control and perceived acceptable age to drink alcohol. A total of 1197 Australian parents with children aged 12-17 years completed an online cross-sectional survey assessing their parental supply behaviours, attitudes and perceptions in April 2022.

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Background Characteristics of ground-glass nodules (GGNs) in Asian women who have never smoked with family history of lung cancer (FHLC) remain unexamined. Purpose To investigate the differences in GGN progression to lung cancer at low-dose CT (LDCT) screening between Asian women who have never smoked with and without FHLC, and to examine associations between FHLC and GGN prevalence and growth. Materials and Methods This single-center retrospective study included East Asian women who had never smoked and had no personal history of lung cancer who underwent baseline LDCT for a health checkup between January 2011 and December 2015.

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Purpose: Clinical adoption of NK cell immunotherapy is underway for medulloblastoma and osteosarcoma, however there is currently little feedback on cell fate after administration. We propose magnetic particle imaging (MPI) may have applications for the quantitative detection of NK cells.

Procedures: Human-derived NK-92 cells were labeled by co-incubation with iron oxide nanoparticles (VivoTrax™) for 24 h then excess nanoparticles were washed with centrifugation.

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T cells develop from hematopoietic progenitors in the thymus and protect against pathogens and cancer. However, the emergence of human T cell-competent blood progenitors and their subsequent specification to the T lineage have been challenging to capture in real time. Here, we leveraged a pluripotent stem cell differentiation system to understand the transcriptional dynamics and cell fate restriction events that underlie this critical developmental process.

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Article Synopsis
  • The study highlights the variable progression of Alzheimer's disease (AD), emphasizing the importance of early detection, especially in mild cognitive impairment (MCI) cases.
  • Machine learning models were used to analyze gene expression data from different stages of AD, successfully identifying biomarkers that differentiate MCI from cognitively unimpaired individuals and predict progression to AD.
  • The research underscores the potential of combining machine learning with transcriptomic data to create new diagnostic tools and treatments to delay or prevent AD, calling for further validation of the findings in larger studies.
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Background: Sentinel lymph node biopsy (SLNB) is an important cancer diagnostic staging procedure. Conventional SLNB procedures with Tc radiotracers and scintigraphy are constrained by tracer half-life and, in some cases, insufficient image resolution. Here, we explore an alternative magnetic (nonradioactive) image-guided SLNB procedure.

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Aims: Although evaluation of left ventricular ejection fraction (LVEF) is crucial for deciding the rate control strategy in patients with atrial fibrillation (AF), real-time assessment of LVEF is limited in outpatient settings. We aimed to investigate the performance of artificial intelligence-based algorithms in predicting LV systolic dysfunction (LVSD) in patients with AF and rapid ventricular response (RVR).

Methods And Results: This study is an external validation of a pre-existing deep learning algorithm based on residual neural network architecture.

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  • Time plays a critical role in diagnosing headache disorders and understanding their underlying mechanisms, highlighting the need for effective timing analysis in headache research.
  • A review of studies covering primary headache types—migraine, tension-type headache, and cluster headache—reveals distinct timing patterns, such as circadian rhythms in migraines and night-time occurrences in cluster headaches.
  • Understanding these time patterns can improve the phenotyping, management, and treatment of headache disorders, pointing towards new, personalized approaches in headache care.
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Background: Coronary computed tomography angiography-derived fractional flow reserve (FFR) is a per-vessel index reflecting cumulative hemodynamic burden while coronary events occur in focal lesions.

Objectives: The authors sought to evaluate the additive prognostic value of the local gradient of FFR (FFR gradient) in addition to FFR to predict future coronary events.

Methods: The current study included 245 patients (634 vessels) who underwent coronary computed tomography angiography within 6 to 36 months before the index angiography, of which 209 vessels had future coronary events and 425 vessels did not.

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Purpose: To elucidate the mechanism underlying changes in choroidal metrics (choroidal thickness [CT], choroidal vascularity index [CVI], and choriocapillaris [CC] flow deficit [FD]) observed in diabetic retinopathy (DR) and examine the association of choroidal metrics with both retinal vessel geometry and optical coherence tomography angiography (OCTA) metrics.

Methods: Overall, 133 eyes of 133 patients were analyzed retrospectively. Retinal vessel geometry parameters were assessed using semiautomated software.

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  • Hemorrhagic transformation is a serious complication of intravenous thrombolysis (IVT) in acute ischemic stroke, and this study aimed to understand its impact on clinical outcomes by evaluating different hemorrhage patterns.
  • The research analyzed data from the Enhanced Control of Hypertension and Thrombolysis Stroke Study and defined symptomatic intracerebral hemorrhage (sICH) and asymptomatic intracerebral hemorrhage (aICH) based on established criteria, examining their associations with patient outcomes.
  • Results showed that 17.8% of participants experienced intracranial hemorrhage, with sICH significantly linked to worse outcomes, including death and major disability, while aICH also posed risks, though to a lesser extent.
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There is a critical unmet need for safe and efficacious neoadjuvant treatment for cisplatin-ineligible patients with muscle-invasive bladder cancer. Here we launched a phase 1b study using the combination of intravesical cretostimogene grenadenorepvec (oncolytic serotype 5 adenovirus encoding granulocyte-macrophage colony-stimulating factor) with systemic nivolumab in cisplatin-ineligible patients with cT2-4aN0-1M0 muscle-invasive bladder cancer. The primary objective was to measure safety, and the secondary objective was to assess the anti-tumor efficacy as measured by pathologic complete response along with 1-year recurrence-free survival.

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A robust analytical method was developed for the simultaneous detection of 504 pesticide multiresidues in various crops using ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-QTOF). The method integrates both MS and MS levels through sequential window acquisition of all theoretical mass spectra (SWATH) analysis, allowing for accurate mass measurements and the construction of a spectral library to enhance pesticide residue identification. An evaluation of the method was carried out according to international standards, including the FAO guidelines and SANTE/11312/2021.

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  • * Out of 31 patients, 55% showed a significant drop in tumor activity (major pathologic response), along with increased immune cell presence in the tumors.
  • * Findings indicate that this combination therapy not only activates various immune responses but is also linked to specific genetic markers in immune cells and changes in gut microbiota, suggesting potential pathways for enhancing treatment outcomes.
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  • Advances in large language models (LLMs) have led to numerous commercial and open-source models, but there has been no real-world comparison of OpenAI's GPT-4 against these models for extracting information from radiology reports.
  • The study aimed to compare GPT-4 with several leading open-source LLMs in extracting relevant findings from chest radiograph reports using datasets from the ImaGenome and Massachusetts General Hospital.
  • Results showed that GPT-4 slightly outperformed the best open-source model, Llama 2-70B, in terms of accuracy scores, with both showing strong performance in extracting findings from the reports.
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Transfer RNA halves (tRHs) have various biological functions. However, the biogenesis of specific 5'-tRHs under certain conditions remains unknown. Here, we report that inositol-requiring enzyme 1α (IRE1α) cleaves the anticodon stem-loop region of tRNA to produce 5'-tRHs (5'-tRH-Gly) with highly selective target discrimination upon endoplasmic reticulum (ER) stress.

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Purpose To develop a radiology-pathology coregistration method for 1:1 automated spatial mapping between preoperative rectal MRI and ex vivo rectal whole-mount histology (WMH). Materials and Methods This retrospective study included consecutive patients with rectal adenocarcinoma who underwent total neoadjuvant therapy followed by total mesorectal excision with preoperative rectal MRI and WMH from January 2019 to January 2022. A gastrointestinal pathologist and a radiologist established three corresponding levels for each patient at rectal MRI and WMH, subsequently delineating external and internal rectal wall contours and the tumor bed at each level and defining eight point-based landmarks.

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Multiomic profiling of single cells by sequencing is a powerful technique for investigating cellular diversity. Existing droplet-based microfluidic methods produce many cell-free droplets, underutilizing bead barcodes and reagents. Combinatorial indexing on microplates is more efficient for barcoding but labor-intensive.

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  • The Genome in a Bottle Consortium (GIAB) is creating matched tumor-normal samples that are publicly consented for sharing genomic data and cell lines, focusing on pancreatic ductal adenocarcinoma (PDAC).
  • They provide a comprehensive genomic dataset from the first individual, combining high-depth DNA from tumor and normal cells using advanced whole genome sequencing technologies.
  • This open-access resource aims to help develop benchmarks for detecting genetic variants in cancer, fostering innovation in genome measurement and analysis tools.
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