Citations

Background/Objectives: While doxorubicin (DOX) and trastuzumab (TRZ) improve overall survival in women with breast cancer, these two anti-cancer drugs increase the risk of developing heart failure. As a novel and largely unexplored approach, our aim was to evaluate whether the prophylactic use of the sodium-glucose co-transporter 2 inhibitor empagliflozin (EMPA), with and without the angiotensin converting enzyme inhibitor perindopril (PER), is cardioprotective in preventing DOX + TRZ-mediated cardiotoxicity. Methods: In a chronic in vivo murine model, female mice received prophylactic treatment with PER (3 mg/kg), EMPA (10 mg/kg), or EMPA + PER via oral gavage for a total of 3 weeks as a run-in period prior to weekly administration of DOX + TRZ (8 mg/kg and 3 mg/kg, respectively) intraperitoneally for an additional 3 weeks (total of 6 weeks). Results: In mice treated with DOX + TRZ, the left ventricular ejection fraction (LVEF) decreased from 75 ± 2% at baseline to 40 ± 4% at week 6. Prophylactic treatment with either PER, EMPA, or EMPA+PER improved LVEF to 58 ± 3%, 66 ± 3%, and 67 ± 4% at week 6, respectively (p < 0.05). Histological analyses confirmed significant disruption of myofibrils, vacuolization, and loss of sarcomere integrity in the DOX + TRZ-treated mice. Prophylactic administration with PER, EMPA, or EMPA + PER, however, improved myofibril integrity at week 6 in mice receiving DOX + TRZ. Finally, although the Bax/Bcl-xL ratio was significantly elevated by 1.5-fold in mice treated with DOX + TRZ, this marker of apoptosis was attenuated by prophylactic treatment with either PER, EMPA, or EMPA + PER. Conclusions: Prophylactic administration of EMPA mitigated adverse cardiovascular remodeling in a chronic in vivo model of DOX + TRZ-mediated cardiotoxicity.

The tumor microenvironment (TME) plays a crucial role in tumor progression and therapeutic response. Monocytes and macrophages, depending on their phenotype, can either enhance anti-tumor immunity or promote tumor growth by regulating cytokines such as IL-6. Multiple myeloma (MM), a hematologic malignancy, expresses the IL-6 receptor CD126 on its surface. Chimeric antigen receptor (CAR)-T cells targeting CD126 have been developed and shown to effectively eliminate CD126-positive tumor cells. However, interactions between macrophages, myeloma cells, and CAR-T cells require further investigation to optimize treatment strategies and minimize adverse effects. In this study, THP-1-derived macrophages, CD126 CAR-T cells, and MM cells, especially RPMI 8226 cells, were used to explore these interactions. A reduced cell population and an increased apoptosis of RPMI 8226 cells were observed in the presence of M1 macrophages. Metformin, known to influence IL-6 production, reduced the viability of RPMI 8226 cells with decreased CD126 expression. However, the killing activity of CD126 CAR-T cells against RPMI 8226 cells decreased after co-culture with macrophages, likely due to interactions between the CAR-T cells and the macrophages. These findings highlight the significant role of macrophages and inflammatory responses in MM progression and in modulating the efficacy of CAR-T cell therapy, providing valuable insights for the optimization of immunotherapeutic strategies.

ABSTRACT Chronic lymphocytic leukemia is not uniformly low risk for tumor lysis syndrome. This case shows that first‐cycle bendamustine–rituximab in patients with high disease burden can precipitate severe TLS with acute kidney injury and multiorgan failure. Individualized prophylaxis, patient education, and close monitoring during early therapy are essential.

ABSTRACT Background Street Medicine, where healthcare is provided in non‐traditional settings, provides care to people experiencing homelessness (PEH). Street medicine has been shown to improve patients' health and decrease Emergency Department visits, making it a cost effective way to provide medical care to PEH. Methods This paper is based on the SAEM25 didactic session as conducted in Philadelphia, where a panel of providers who are directly involved in street medicine clinics shared their experiences and perspectives on the various designs in practice. These topics included key logistical challenges and solutions, barriers to care and trust building, strategies for fostering sustainable partnerships with community organizations, and options for medical student or resident involvement. Results The design and unique approach of four different universities across the country was compared and contrasted by a panel of experts, all with experiences working directly with PEH. There are similarly identified barriers to providing care to PEH including location and transportation, financial and food insecurity, and trust between the community and the healthcare system. Conclusion There are multiple options that exist to provide a framework to create a clinic to support populations of PEH.

Abstract Variants of the shoulder are commonly encountered and may occasionally be confused with pathological conditions. Our goal is to provide an overview of common normal variants of the shoulder’s anatomical structures as well as any associated clinical or surgical relevance. Following a literature search of common variants of the shoulder and supporting structures, this review provides a summary of variants related to the scapular body, acromion, glenoid, coracoid, labrum, long head biceps tendon, glenohumeral ligamentous complex, and rotator cuff. The shoulder is composed of the glenohumeral, acromioclavicular, sternoclavicular, and scapulothoracic joints and their associated osseous, ligamentous, cartilaginous, and musculotendinous stabilizers. Anatomic variants about the shoulder, especially in the adolescent and young adult populations, are frequently encountered. An awareness of associated pathological conditions and an understanding of when variants might be clinically significant is important in interpreting radiological exams.

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Abstract Purpose Spatial distribution of coronary artery calcium (CAC) may provide additional prognostic value in patients undergoing SPECT and PET myocardial perfusion imaging (MPI). We aimed to automatically identify CAC in proximal segments from attenuation correction CT (CTAC) scans using artificial intelligence (AI) and to evaluate prognostic significance in two large international multicenter registries. Methods From hybrid MPI/CT imaging (N=43,099) across 15 sites, we included 4,552 most relevant patients with 1) no prior coronary artery disease; 2) AI-derived mild CAC scores (1-99); and 3) normal perfusion (stress total perfusion deficit <5%). The independent associations between AI-identified proximal CAC and major adverse cardiovascular events (MACE) and all-cause mortality (ACM) were evaluated using multivariable Cox regression, likelihood ratio test (LRT), and continuous net reclassification index (NRI). Results Among the patients with mild CAC and normal perfusion (mean age 65±12 years, 51% male), 1,730 (38%) had proximal CAC. Over 3.6 (inter-quartile interval 2.1, 5.2) years follow-up, 599 (13%) and 444 (10%) patients had MACE or ACM, respectively. Proximal CAC was associated with an increased risk of MACE (adjusted hazard ratio [HR] 1.24, 95% CI 1.03–1.48, P=0.02) and ACM (adjusted HR 1.25, 95% CI 1.01–1.53, P=0.04) after the adjustment of CAC score and density, clinical risk factors, and perfusion deficit. Proximal CAC improved the risk stratification of MACE (LRT P=0.02; NRI 12%) and ACM (LRT P=0.04; NRI 12%). Conclusion In patients with mild CAC and normal perfusion, AI detection of proximal CAC identified a higher-risk group for adverse outcomes, highlighting its prognostic utility. Graphical Abstract From patients who underwent hybrid myocardial perfusion imaging (MPI) from 15 sites, we analyzed those without prior coronary artery disease (CAD), mild coronary artery calcium (CAC) scores (1-99), and normal perfusion (stress total perfusion deficit <5%). A previously developed AI model was used to identify CAC lesions in proximal coronary segments on CT attenuation correction maps (CTAC). We evaluated associations with major adverse cardiovascular events (MACE) and all-cause mortality (ACM), showing risk stratification of proximal CAC and improvement by net reclassification index (NRI). CAC lesion color: green, left anterior descending artery (LAD) with left main artery; red, left circumflex artery (LCX); yellow, right coronary artery (RCA). Adjusted hazard ratios (HRs) are shown with 95% confidence intervals.

Diagnosing rare genetic diseases remains a major challenge despite widespread clinical testing. Long-read RNA sequencing (RNA-seq) offers a powerful approach to capturing the effects of genetic variants on the transcriptome, yet challenges with sequencing coverage, cost, tissue selection, and scalability have limited its clinical adoption. To address this, we developed STRIPE (Sequencing Targeted RNAs Identifies Pathogenic Events), a targeted long-read RNA-seq–based strategy for rare disease diagnosis and variant interpretation. STRIPE enables deep sequencing of full-length transcripts for any customized disease-specific gene panel such that a wide range of clinically informative readouts, including transcript aberrations and sequence variants, can be detected at haplotype-level resolution. Applying STRIPE to 88 individuals spanning two major rare disease groups, we accurately reidentified known pathogenic variants and revealed their transcript consequences, including many unexpected ones. For 8 of 15 splice site region variants, we observed more complex RNA processing defects beyond single exon skipping or cryptic splice site activation. Notably, we find that donor splice site variants frequently activate cryptic intronic polyadenylation sites, leading to premature transcript termination. Leveraging unique strengths of long-read RNA-seq, STRIPE also resolved variants of uncertain significance and uncovered disease-causing variants in five previously undiagnosed individuals. Overall, STRIPE is a powerful, adaptable, and scalable strategy with broad potential to improve clinical variant interpretation and advance genetic diagnosis of rare diseases.