Background: Current guidelines recommend factor IIa- or Xa-specific inhibitors over warfarin analogs for preventing thromboembolic stroke in patients with atrial fibrillation (AF).However, their plasma concentrations in Korean patients are not well understood. Methods: We conducted a single-center laboratory study to determine the distribution ranges of peak and trough concentrations of three factor Xa inhibitors (apixaban, edoxaban, and rivaroxaban) prescribed for preventing strokes in patients with AF. Patients receiving one of these drugs and undergoing blood specimen collection for laboratory tests were screened. Blood specimens were obtained from patients who had adhered to the prescribed drug regimen consistently for at least 1 week. Drug plasma concentrations were measured using heparin liquid-reagent technology-based anti-Xa chromogenic assays. Results: We selected 459 patients who were taking standard or on-label-reduced doses of apixaban (N = 252), edoxaban (N = 182), or rivaroxaban (N = 25). The 5th–95th percentile ranges of the peak concentrations were 84–414 ng/mL (apixaban), 72–424 ng/mL (edoxaban), and 97–517 ng/mL (rivaroxaban). The respective 5th–95th percentile ranges of the trough concentrations were 44–237 ng/mL, 23–93 ng/mL, and 13–219 ng/mL. Approximately 19.6% (apixaban), 33.3% (edoxaban), and 64.0% (rivaroxaban) of patients in each group had peak concentrations out of the predicted distribution ranges based on pharmacokinetic data. Approximately 7.3%, 52.8%, and 8.3% of patients had trough concentrations out of the predicted distribution ranges. Conclusions A considerable proportion of Korean patients with AF taking factor Xa inhibitors may require population-specific reference ranges to guide therapeutic monitoring.

Background: Alpha-fetoprotein (AFP) and its isoform AFP-L3 are well-established serum biomarkers for hepatocellular carcinoma (HCC), a common malignancy and a leading cause of cancer-related mortality worldwide. Current methods for measuring these biomarkers are primarily lectin-based assays including the liquid-phase binding assay (LiBA) and liquid chromatography–tandem mass spectrometry (LC-MS/MS), both of which have limitations in diagnostic sensitivity and clinical utility for samples with low AFP concentrations. We aimed to develop a lectin-independent LC-MS/MS method for quantifying fucosylated AFP proteins (AFP-Fuc%). Methods: We conducted analytical validation, including method comparisons, over 2 months. The analytical sensitivity and diagnostic performance of this method were evaluated using 525 human serum samples—235 from HCC patients and 290 from non-HCC individuals—and compared with those of LiBA, which measured AFP-L3 levels. Results: The LC-MS/MS method demonstrated acceptable within-laboratory imprecision (CVs < 17.1%) without detectable bias, carryover, or matrix effects. Our method exhibited a broader linear dynamic range (spanning five orders of magnitude) and 10-fold higher analytical sensitivity than LiBA. The diagnostic performance of our method was significantly superior to that of LiBA, particularly in patients with low AFP concentrations ( < 7 ng/mL, P < 0.001), with improved accuracy, sensitivity, and precision at a specificity of 96.2%. Conclusions The validated LC-MS/MS method demonstrated robust analytical performance and superior diagnostic accuracy over LiBA for HCC diagnosis while avoiding the inherent limitations of lectin-based assays. Our LC-MS/MS assay shows promise for early HCC detection and may contribute to enhanced patient care.

Background: Extended-spectrum β-lactamase (ESBL)-producing Escherichia coli is among the most important multidrug-resistant pathogens causing bloodstream infections (BSIs).Cefotaximase (CTX-M) enzymes are the most common and highly diverse ESBL family in E.coli. CTX-M-15 in group CTX-M-1 and CTX-M-14 in group CTX-M-9 are the most extensively disseminated enzymes. Multidrug-resistant E. coli strains complicate empirical therapy and increase healthcare burden globally and in Korea. We investigated the molecular epidemiology, sequence types (STs), and ESBL genotypes of E. coli bloodstream isolates in Korea and identified clinical risk factors for cefotaxime resistance. Methods: We collected all non-duplicated isolates of E. coli and related clinical information from patients with BSIs at eight sentinel hospitals in the Korean Global Antimicrobial Resistance Surveillance System (Kor-GLASS) collection network during 2017–2021. Duplicate isolates were removed to ensure representativeness of the data. Antimicrobial susceptibility was tested using disk diffusion tests, and multilocus sequence typing and betalactamase genotyping were performed. Results: Among 9,232 E. coli blood isolates, resistance rates to cefotaxime and ceftazidime were 36.4% and 11.4%, respectively. Among the clinical factors, age > 65 yrs (adjusted odds ratio [aOR], 1.36), hospital-origin infection (aOR, 2.55), and admission type (intensive care unit [ICU] vs. general ward; aOR, 1.34) were significant cefotaxime resistance risk factors. ST131 was the most prevalent among cefotaxime-resistant E. coli (64.8%, 2,180/3,363), followed by ST1193 (5.3%, N = 177), and ST69 (5.1%, N = 170).ST131, ST648, ST405, and ST410 cefotaxime-resistant E. coli isolates frequently harbored blaCTX-M-15, whereas ST1193 and ST68 showed a high proportion of blaCTX-M-27 carriers, and most ST457 and ST5150 isolates carried blaCTX-M-55. Conclusions Continuous monitoring of ESBL-producing E. coli is required to prevent further dissemination, guide empirical therapy, inform infection control policies, and ensure early detection of multidrug-resistant clones with the potential for widespread transmission.

The rapid advancement of genome sequencing has increased the detection of incidental findings (IFs) and secondary findings (SFs), raising complex ethical and practical challenges in both clinical and research settings. This review examines policies, guidelines, and stakeholder perspectives on IF/SF across different jurisdictions, focusing on articles published between 2000 and 2024. We found significant variation in IF/SF reporting practices, reflecting different healthcare systems and ethical frameworks. While the American College of Medical Genetics and Genomics supports proactive SF reporting, European and Canadian policies adopt more conservative approaches. Stakeholder perspectives also varied; patients generally preferred receiving results, whereas healthcare professionals’ support depended on factors including actionability and patient age. Particular challenges emerged in relation to pediatric cases, with ongoing debates about balancing future autonomy with potential medical benefits. Implementation barriers were identified across jurisdictions, including resource constraints, knowledge limitations, and a lack of standardized procedures. Despite consensus on the potential value of IF/SF reporting, inconsistencies in approaches and implementation challenges persist. Current evidence suggests the need for more sophisticated, context-sensitive frameworks that can accommodate different healthcare systems while maintaining consistent ethical standards. Further research is required to understand the long-term effects of different reporting approaches on patients, healthcare systems, and society.

Monoclonal protein (M-protein) is a crucial biomarker for diagnosing and monitoring monoclonal gammopathies, including multiple myeloma (MM). Traditionally, electrophoresis (EP)-based methods, such as protein EP and immunofixation EP, have been widely used for M-protein detection. However, these methods can show low sensitivity and inadequate quantification of small amounts of M-protein. To overcome these challenges, EP-based methods are often combined with the quantification of serum free light chains in automated immunoassays. Advances in mass spectrometry (MS) have introduced three main approaches for sample preparation: top-down, middle-down, and bottom-up. Middle-down approaches are commonly used with matrix-assisted laser desorption/ionization time-offlight MS and liquid chromatography–electrospray ionization (LC–ESI) quadrupole time-offlight MS, whereas the bottom-up approach is typically applied with LC–ESI Orbitrap MS. A review of studies, conducted from 2014 to 2024, on plasma cell disorders that utilized MS-based methods demonstrate improvements in the sensitivity and accuracy of M-protein identification and quantification. MM remains the most frequently studied disease, with significant therapeutic advancements leading to improved outcomes. Minimal residual disease has gained attention because of its correlation with better prognoses. Monoclonal gammopathy of undetermined significance and amyloid light-chain amyloidosis are occasionally addressed, while studies on other rare diseases remain limited. This review highlights the clinical applications and advancements in MS-based methods, particularly in assessing M-protein levels for treatment responses, risk factors, and prognostic monitoring. Given their advantages—high sensitivity and specificity, automation, cost-effectiveness, and time efficiency—MS-based methods may eventually replace EP-based methods in clinical laboratories.

Background: As nationwide government-led whole-genome sequencing (WGS) projects progress, optimizing the clinical integration of large-scale WGS results is crucial. We explored how the initial analysis from Korea’s First WGS Pilot Study for Rare Diseases was applied in clinical practice, and then we reanalyzed the data comprehensively at Samsung Medical Center (SMC) Seoul, Korea. Methods: A prospective cohort study designed to collect WGS data under a Korean national initiative was conducted from August 2020 to December 2021. We focused on patients with rare diseases recruited from 16 university hospitals. The participants included 5,000 individuals (2,200 probands and 2,800 family members). The initial WGS data and diagnostic reference reports (from 682 probands and 484 family members), generated based on the First Korean WGS Pilot Study for Rare Diseases, were subsequently reanalyzed by SMC. Results: The initial analysis of the First Korean WGS Pilot Study data revealed a diagnostic rate of 17%. Upon receiving these results, the SMC conducted two rounds of reanalysis, increasing the diagnostic rate from 15% in the first analysis, to 18% in the second, and finally to 24% in the third (P = 1.6 × 10 −5 ). Key factors in improving the genetic diagnosis included increased detection of novel (likely) pathogenic variants (P = 1.0 × 10 −4 ), improved diagnostic rates with larger family recruitment (P = 0.004), and refined clinical information for more precise genotype–phenotype correlation analysis (40%). Conclusions Although national WGS projects lay a foundation for rare disease diagnosis, hospital-level reanalysis and multidisciplinary collaborations are crucial for optimizing diagnostic outcomes.

Cryopreserved umbilical cord blood (CB) for transplantation is occasionally exposed to room temperature during storage in cord blood banks. We evaluated the effect of room temperature exposure on the quality of cryopreserved CB. Forty frozen CB units stored in liquid nitrogen tanks were exposed to room temperature until they reached a target temperature of –130°C (group I), –60°C (group II), –40°C (group III), or –25°C (group IV) (N = 10 in each group) and then re-stored. After re-thawing, the quality of the frozen CB was assessed based on the recovery rates of cell count, cell viability, and colony-forming unit granulocyte/macrophage (CFU-GM) content. The mean exposure times required to reach the target temperature were 0.83 ± 0.14, 5.92 ± 0.88, 10.28 ± 1.0, and 16.0 ± 1.62 mins for groups I–IV, respectively. CD34+ cell viability was significantly lower in group IV than in the other groups (P = 0.009). The recovery rates of cell counts, cell viability except CD34+cells, and CFU-GM did not significantly differ among the groups. Short-term exposure to room temperature for routine procedures and a temperature rise of up to −40°C during storage do not negatively affect the quality of cryopreserved CB.

Background: Single nucleotide polymorphism-based chromosomal microarray analysis (CMA) can detect regions of homozygosity (ROHs), which may be associated with medical conditions; however, limited ROH data, especially in East Asians, complicates clinical interpretations. We characterized ROH distributions and frequencies in a Korean population using CMA, highlighting clinically relevant findings, including suspected uniparental disomy (UPD), using standardized criteria. Methods: We analyzed ROHs in 1,731 individuals who underwent postnatal CMA at a Ko-rean medical center. ROHs ≥ 3 Mb long were detected using the CytoScan Dx platform and Chromosome Analysis Suite Dx. Suspected UPD and consanguinity were assessed per the American College of Medical Genetics and Genomics technical standards. Results: We identified 3,962 ROHs, with 76.7% of patients carrying at least one. Common “hotspot” regions included 3p21.31p21.1 (20.3%), 11p11.2 (18.2%), 1q21.1q21.3(17.7%), and 1p33p32.3 (12.0%). Almost all ROHs observed in > 1% of patients had a median size of < 5 Mb. ROH frequencies correlated negatively with chromosomal recombina-tion rates and positively with gene densities. Additionally, 1.2% (N = 21) of patients exhib-ited ROH patterns suggestive of UPD or consanguinity (13 suspected UPDs on imprinted chromosomes, 6 on non-imprinted chromosomes, and 2 consanguinities); 8 of 13 patients with suspected UPD were diagnosed as having imprinting disorders, with no pathogenic copy number variations detected. Conclusions Our population-specific ROH data for Koreans improve clinical interpretations by minimizing the risk of overinterpreting benign variants and highlight the value of standardized criteria for reliably detecting UPD and consanguinity and integrating ROH analysis into routine CMA interpretations.