Citations

ABSTRACT Reactive infectious mucocutaneous eruption (RIME) is a post‐infectious mucositis which primarily affects pediatric patients. We report a 14‐year‐old girl with recent intensive sun exposure who developed RIME in a photodistributed pattern. Treatment with etanercept yielded clinical improvement. Potential mechanisms underlying photodistributed RIME syndrome are discussed, with comparison to photodistributed instances of Stevens‐Johnson syndrome.

ABSTRACT HLA‐C*01:155 is characterised by a single nucleotide substitution in codon 225 in exon 4.

Coronary artery disease (CAD) remains a leading cause of global morbidity and mortality. Accurate diagnosis of ischemia-causing coronary stenoses is essential for guiding revascularization and improving outcomes. Although invasive fractional flow reserve (FFR) remains the gold standard for functional lesion assessment, its use is limited by procedural invasiveness, cost, and complexity. CT-derived FFR (FFRct), based on computational fluid dynamics (CFD), was the first major advance in noninvasive physiological assessment, but its adoption has been hindered by intensive off-site computation and dependence on high-quality imaging. This review summarizes the evolution from invasive FFR to AI-driven functional assessment of coronary lesions. We examine the principles and validation of CFD-based FFRct and then focus on the shift toward artificial intelligence, including both machine learning (ML) and deep learning (DL) approaches. These methods range from models using engineered geometric and plaque features trained on large synthetic datasets to end-to-end systems that learn directly from imaging data. We discuss key validation studies evaluating diagnostic accuracy, prognostic value, and clinical utility, with attention to performance in challenging settings such as intermediate stenoses, heavy calcification, and patients with comorbidities. We also highlight major barriers to widespread adoption, including dependence on input data quality, limited explainability, regulatory hurdles, and integration into clinical workflows. Finally, we outline future directions, including AI-enabled virtual PCI planning, multimodal risk stratification, and broader access to functional cardiac assessment. AI has the potential to transform noninvasive coronary imaging by enabling a single CCTA scan to provide rapid, integrated evaluation of anatomy, plaque characteristics, and physiological significance, supporting more personalized care and better clinical outcomes.

Abstract Hematoxylin and eosin (H&E) slides are routinely available in cancer care, but molecular profiling often requires additional tissue processing and turnaround time. We introduce HistoMethyl, a DNA methylation-aware pathology foundation model that aligns whole-slide histopathology with matched genome-scale methylation beta-value profiles during pre-training while requiring only an H&E slide at inference. We evaluated HistoMethyl across four task groups: gene mutation prediction, morphology-associated classification, overall survival prediction, and direct DNA methylation beta-value recovery. Evaluation spanned TCGA cross-validation, a disease-held-out lower-grade glioma cohort, and external cohort validation in CPTAC glioblastoma and SurGen rectal adenocarcinoma, totaling 14 cancer cohorts and 81 gene mutation tasks. The best-performing configuration improved mean mutation AUROC by 5.03 percentage points. By converting DNA methylation supervision into an H&E-only representation, His-toMethyl could support an early molecular triage layer that helps prioritize cases for confirmatory sequencing, methylation profiling, immunohistochemistry, and molecular tumor board review. These image-only predictions are intended to accelerate downstream molecular testing and tissue allocation while leaving final diagnosis and treatment selection anchored in validated molecular assays.

As a widely distributed network of cells, tissues, and organs, the human immune system is profoundly vulnerable to the effects of aging. Intrinsic and extrinsic stressors progressively erode its structural integrity and functional resilience, weakening core protective responses and increasing susceptibility to infection, malignancy, and tissue degeneration. At the same time, aging heightens the risk of chronic inflammation and autoimmune disease. Hematopoietic stem cells become uniquely compromised as aging intensifies metabolic and replicative stress. Their continuous high-volume turnover results in diminished self-renewal capacity, skewed lineage output, and dominance of expanded clones. These changes undermine innate immune competence and amplify inflammatory activity. Adaptive immune function declines with age through coordinated cellular and molecular programs. T and B lymphocytes exhibit a decline in naive cells, progressive loss of stemness, shortened lifespan, and constrained clonal diversity. Aging lymphocytes reconfigure transcriptional networks, undergo widespread organelle dysfunction, develop maladaptive stress responses, and redistribute into noncanonical tissue niches. Collectively, these alterations reduce antigen specificity and precision, promote innate-like immune behavior, and confer resistance to tolerance. These mechanisms result in concurrent immunodeficiency and autoimmunity, exemplified by two autoimmune diseases disproportionately affecting older adults: rheumatoid arthritis and giant cell arteritis.

Abstract GNE myopathy (GNEM) is a neuromuscular disorder caused by biallelic mutations in the gene GNE , which encodes a bifunctional enzyme essential for the biosynthesis of sialic acid. Despite extensive characterization, no effective therapies or validated biomarkers exist, and the molecular mechanisms driving disease pathology remain poorly understood. This study identifies the proteoglycan serglycin as a preliminary candidate biomarker in GNEM and investigates the mechanisms underlying its dysregulation. Proteomic analysis of serum samples from GNEM patients revealed reduced circulating serglycin levels. In contrast, increased intracellular serglycin was observed in GNE knockout and GNEM patient iPSC-derived myoblasts, suggesting impaired secretion and/or degradation. To investigate the basis of this accumulation, intracellular trafficking and autophagic pathways were examined. Proteomic profiling from HEK GNE knockout cells revealed alterations in pathways involved in membrane trafficking, Golgi function, and glycoprotein processing, consistent with broader disruptions in the secretory system that may impair serglycin export and contribute to its intracellular retention. In GNEM iPSC-derived myoblasts, serglycin overlapped with LAMP1-positive lysosomal compartments and the ER-phagy receptor FAM134B, suggesting association with lysosomal and ER-phagy related pathways. Functional assays further indicated impaired autophagic flux in mutant cells. Together, these findings support a model in which combined defects in secretion and autophagic clearance contribute to intracellular serglycin accumulation and reduced circulating levels. This study identifies serglycin as a potential circulating biomarker for GNEM and highlights dysregulation of secretory and degradative pathways as converging features of disease pathology.

ABSTRACT Apheresis medicine is a continually evolving field with numerous studies published each year. To help apheresis practitioners stay up to date with the current literature, members of the American Society for Apheresis (ASFA) Attending Physician Subcommittee identified and summarized 10 seminal articles published in 2025, from the field of apheresis medicine. PubMed was used to identify articles published in four topics including donor apheresis, therapeutic apheresis, apheresis education, and apheresis collection for cellular therapy. These articles met at least one of the following criteria: novel findings, practice‐altering outcomes, international in scope, randomized‐controlled trial, relevant to current clinical practice, and/or provide evidence for category III or IV indications based on the ASFA 9th Special Issue of the Guidelines on the Use of Therapeutic Apheresis in Clinical Practice‐Evidence‐Based Approach. Full length, peer‐reviewed manuscripts in English with data from human subjects were included while case reports, review articles, and meta‐analyses were excluded.

ABSTRACT Background Readmission is considered as a surgical quality indicator. More data regarding predictors of readmission and outcomes after surgery for colorectal liver metastasis are needed. Using a propensity score match to create a 1:2 match of cases:controls for 90‐day. Readmission, the matching variables used for balance included age, tumor size, estimated blood loss, and type of resection (minor or major). T‐tests were used for continuous measures, Fisher's exact test was used for categorical data, and the Kaplan–Meier method was used to estimate survival. p < 0.05 was considered significant. Methods Retrospectively examined 935 patients with CLM from 2000 to 2018. Using a propensity score match to create a 1:2 match of cases:controls for 90‐day. Readmission, the matching variables used for balance included age, tumor size, estimated blood loss, and type of resection (minor or major). T‐tests were used for continuous measures, Fisher's exact test was used for categorical data, and the Kaplan–Meier method was used to estimate survival. p < 0.05 was considered significant. Results 935 patients were included in the initial sample with 896 eligible for inclusion in the propensity matching. The average age of the population was 59% and 59% male. Overall readmission rate was 8.0%. Median time to readmission was 14 days. In the propensity score matched sample, readmitted patients had higher rates of organ space infection (28% vs 2% and p < 0.0001), bile leak (26% vs 1% and p < 0.0001), and liver failure (9% vs 2% and p = 0.042). There was no difference in LOS (7 days versus six days and p = 0.40), overall survival (median 39.7 vs 41.0 months and p = 0.79), or rate of adjuvant therapy (68% for both and p > 0.99). Conclusion Patients readmitted for intermediate and late complications after surgery for CLM can recover and receive adjuvant therapy with no adverse effect on overall survival. Organ space infection, bile leak, and liver failure are highly associated with readmission.