Citations

Background/Objectives: Pediatric heart failure (HF) is a complex clinical syndrome with diverse etiologies and presentations. Primary care providers (PCPs) are critical in early recognition, family education, and coordination of ongoing care in collaboration with pediatric cardiologists. This review provides a comprehensive guide for PCPs to understand the causes, symptoms, treatments, and longitudinal considerations for children with HF. Methods: We conducted a narrative review synthesizing published evidence and expert consensus guidelines, focusing on the clinical presentation, treatment options, and longitudinal care strategies in children with HF. Results: HF in children most commonly results from congenital heart disease and cardiomyopathy, but includes a wide range of etiologies. Presenting symptoms differ by age, with subtle signs often mistaken for common pediatric illnesses. Treatments range from disease-modifying medications to surgical and transplant therapies. Psychosocial support, mental health, and family-centered care are critical components of long-term management. Conclusions: PCPs are essential partners in the care of children with HF. A proactive, collaborative, and informed approach can improve quality of life, reduce hospitalizations, and support families navigating this challenging diagnosis.

Primary biliary cholangitis (PBC) is a chronic autoimmune liver disease marked by cholestasis and progressive fibrosis. While ursodeoxycholic acid (UDCA) remains the first-line therapy, approximately 30–40% of patients have an inadequate biochemical response, increasing the risk of disease progression. Obeticholic acid (OCA), a potent farnesoid X receptor (FXR) agonist, was the first second-line agent approved by the only Food and Drug Administration (FDA) and has demonstrated moderate biochemical efficacy but limited tolerability due to dose-dependent pruritus and safety concerns in cirrhosis. Fenofibrate, a peroxisome proliferator-activated receptor alpha (PPAR-α) agonist, showed substantial alkaline phosphatase (ALP) reductions when added to UDCA, although its long-term benefit remains unconfirmed in large-scale trials and its use remains off-label in the United States, unlike FDA-approved agents. Seladelpar, a selective peroxisome proliferator-activated receptor delta (PPAR-δ) agonist, and elafibranor, a dual PPAR-α/δ agonist, have both recently received FDA accelerated approval after demonstrating significant improvements in ALP, biochemical response rates, and pruritus relief in phase 3 trials. This review summarizes these second-line therapies’ mechanisms, efficacy, safety, and limitations emphasizing the need for individualized treatment decisions and ongoing research into long-term clinical outcomes.

ABSTRACTBackgroundPrimary progressive apraxia of speech is a neurodegenerative disorder characterized by early, isolated speech impairment due to impairment of motor speech planning and programming. Patients with PPAOS have varying disease durations from the estimated onset of the first symptom to death. Clinicopathological and neuroimaging features related to disease duration are unknown for PPAOS. We determine whether clinical, neuroimaging, or pathological features are associated with disease duration in primary progressive apraxia of speech (PPAOS).MethodsWe analyzed data from 41 PPAOS participants who were enrolled and longitudinally followed to death in NIH‐funded studies over 15 years. Demographic, clinical, and genetic features were abstracted. Brain volumes of cortical, subcortical, and brainstem regions were calculated. Regional tau lesion count (burden) was assessed histologically. Spearman rank correlations were performed between disease duration and variables of interest, followed by multiple regression analyses.ResultsDisease duration did not correlate with any baseline demographic, clinical, or pathologic features. Shorter disease duration correlated with a faster rate of behavioral change and of apraxia of speech severity over time, smaller baseline volumes of the superior frontal lobe and supplementary motor cortex, and higher tau burden in the locus ceruleus (ρ = −0.5, p = 0.03). Multiple regression analysis identified rate of behavioral change and volume loss in the superior frontal lobe as key clinical and neuroimaging variables, respectively.ConclusionIn patients with PPAOS, we found shorter disease duration to be related to behavioral dyscontrol and involvement of the frontal lobe, as well as a higher burden of 4‐repeat tau lesions in the locus ceruleus.

Abstract Invariant Natural Killer T (iNKT) cells recognize glycolipid antigens presented on CD1d and rapidily respond to direct immune responses. iNKT cells develop in the thymus and migrate to peripheral tissues in what has been presumed to be differentiated/committed states. Accordingly, colonic iNKT cells are established in early life, considered to remain ‘fixed’ post-weaning, and determine life-long colitis susceptibility. Using single cell RNA sequencing (scRNA-seq), we demonstrate that humans and mice contain colonic iNKT populations transcriptionally resembling immature and intermediate thymic iNKT precursors. Contrary to prevailing paradigms, we demonstrate colonic iNKT cell populations expand in adult mice when CD1d expressing colonic goblet cells form goblet cell-associated antigen passages. Expansion preferentially affected intermediate iNKT cells, was durable, and protective in a colitis model. These studies reveal that the adult colon harbors iNKT cells with retained plasticity and uncover a novel role for goblet cells as unconventional antigen presenting cells regulating this axis.

Abstract Synchronous squamous cell carcinoma (SCC) and chronic lymphocytic leukemia (CLL) in the parotid gland is rare, with limited evidence on personalized treatment. We report a 75-year-old male with prior cutaneous SCC who presented with a hypermetabolic parotid mass and cervical lymphadenopathy; fine needle aspiration confirmed SCC. Surgery revealed poorly differentiated SCC and CLL in multiple lymph nodes. He underwent radiotherapy but developed regional SCC relapse without systemic CLL symptoms. Recurrence in the ear required extensive surgical resection and reconstruction. Genetic profiling showed high tumor mutational burden (>50 mutations/Mb) and mutations in ARID1B, CDKN2A, MSH2, PMS2, and TP53. He received six cycles of cemiplimab followed by cetuximab-based targeted therapy, based on rising circulating DNA levels. This case emphasizes the value of genetic profiling and tools like TMB, FISH, and immunohistochemistry for risk stratification and personalized treatment in managing advanced or complex parotid malignancies, including synchronous SCC and CLL, to optimize patient outcomes.

PURPOSE Large language models (LLMs) have demonstrated remarkable versatility in oncology applications, such as cancer staging and survival analysis. Despite their potential, ethical concerns such as data privacy breaches, bias in training data, lack of transparency, and risks associated with erroneous outputs pose significant challenges to their adoption in high-stakes oncology settings. Therefore, we aim to explore the ethical challenges associated with LLM-based applications in oncology and evaluate emerging techniques designed to address these issues. METHODS Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework, a systematic review was conducted to evaluate publications related to ethical issues of LLMs in oncology across eight academic databases (eg, PubMed, Web of Science, and Embase) between January 1, 2019, and December 31, 2024. RESULTS The search retrieved 4,319 published articles, of which 65 publications were preserved and included in our analysis. We identified six prevalent ethical challenges in oncology, including trust, equity, privacy, transparency, nonmaleficence, and accountability. We then evaluated emerging technical solutions to mitigate ethical challenges and summarized evaluation metrics used to assess these solutions' effectiveness. CONCLUSION This review provides actionable recommendations for responsibly deploying LLMs in oncology, ensuring adherence to ethical guidelines, and fostering improved patient outcomes. By bridging technical and clinical perspectives, this review offers a foundational framework for advancing ethical artificial intelligence applications in oncology and highlights areas for future research.