Citations

ABSTRACT Problem Patients with threatened preterm labor (PTL) are treated with antibiotics, corticosteroids, and magnesium sulfate to mitigate infection, promote fetal lung maturation, provide fetal neuroprotection and overall minimize the impact of prematurity on the neonate. However, the effect of these drugs on the placental inflammatory profile is unknown even though these are given systemically and reach the placenta. We evaluated their action in an ex vivo model of placental inflammation. Method of Study Placental explants from uncomplicated pregnancies were exposed to lipopolysaccharide (LPS) ± azithromycin, betamethasone, and/or magnesium sulfate. Production (lysate) and secretion (supernatant) of pro‐ and anti‐inflammatory cytokines were assessed by ELISA. Results Both pro‐ and anti‐inflammatory cytokines were increased by LPS versus untreated. Azithromycin, or magnesium sulfate did not alter the inflammatory profile by themselves nor when added at the same time or 24 h after LPS. Betamethasone decreased both pro‐ and anti‐inflammatory cytokines only when administered at the same time as LPS, without any effects if delayed. Conclusions Therapeutic interventions classically used for preterm labor (PTL) do not impact the placental inflammatory profile by themselves or in the context of an ex vivo placental explants model of LPS‐induced inflammation, except for betamethasone when administered concurrently with LPS.

CD19-directed CAR T-cells (CTL019) can produce durable remissions in chronic lymphocytic leukemia (CLL), but therapeutic success depends on whether autologous T-cells expand, persist, and retain cytotoxic function after manufacturing. Failure of CLL T-cells is often attributed to exhaustion, although many dysfunctional CLL T-cells retain inflammatory cytokine production. We tested whether this paradox reflects immunosenescence, an aging-like program defined by costimulatory loss, DNA damage, inflammatory secretion, repertoire restriction, and proliferative arrest. In response-linked preinfusion CTL019 products, nonresponders and short partial responders had higher senescence and senescence-associated secretory phenotype (SASP) programs than the functional-responder group, comprising complete responders and partial responders with transformed disease. These programs were detectable before infusion and became more prominent during manufacture in susceptible products. They tracked with weak in vivo CAR T-cell expansion and were associated with inferior survival. Serum proteomics revealed a circulating, CLL-associated SASP-like inflammatory milieu in nonresponders. Flow cytometry and T-cell receptor (TCR) profiling showed that poor responders carried CD27⁻CD28⁻ and KLRG1⁺ CD8 T-cells at apheresis, lower product CD27, and reduced product TCR diversity. Research-manufactured CAR T-cells from treatment-naïve CLL samples displayed the same state, most prominently in CD4 CAR T-cells, with SA-β-gal, p16, p53, DNA damage, depletion of less-differentiated states, and senescence-enriched transcriptomes. Under repeated CD19 stimulation, CLL-derived products reached a proliferative ceiling, and p53-high products lost cytotoxic reserve. Ibrutinib improved proliferative fitness, attenuated senescence-associated features and SASP output in paired patient and direct-exposure assays, and enhanced CAR T-cell expansion in an ibrutinib-resistant CLL model. Together, these data identify immunosenescence as a measurable and functionally consequential barrier to CAR T-cell efficacy in CLL and a candidate for therapeutic modulation.

Most genetic variants associated with complex traits are hypothesized to regulate gene expression. To understand the genetics underlying gene expression variability, we characterized 14,324 RNA-sequencing samples from the Trans-Omics for Precision Medicine program and performed expression and splicing quantitative trait locus (e/sQTL) analyses in six tissues and cell types, including whole blood ( n = 6454) and lung ( n = 1291). We detected tens of thousands of secondary cis-e/sQTLs, showing that secondary cis-e/sQTL discovery remains unsaturated. We fine-mapped UK Biobank–derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs. Our results suggest that even larger e/sQTL analyses will uncover additional secondary e/sQTLs, further benefiting GWAS interpretation.

Abstract Objective To evaluate whether thyroid dysfunction, including hypothyroidism and hyperthyroidism, is associated with migraine across racial and age groups using a large, multinational electronic health record database. Background Thyroid disorders are highly prevalent worldwide, with hypothyroidism affecting over 200 million individuals and hyperthyroidism affecting approximately 2.5% of adults. Migraine is a leading cause of disability globally. Prior studies have suggested potential links between thyroid dysfunction and migraine, but evidence has been limited by small sample sizes, restricted population diversity, and inadequate control of confounding. Whether associations differ by thyroid subtype, race, or age remains unclear. Methods We performed two parallel retrospective cohort analyses within the TriNetX Global Collaborative Network, comprising over 200 million patients across 21 countries, using patient records from January 2004 to December 2024. Adults aged 18–100 years with hypothyroidism or hyperthyroidism, defined by ≥3 clinical encounters within 20 years, were identified. Individuals with psychiatric disorders (including mood, anxiety, and stress‐related disorders), sleep disorders, epilepsy or recurrent seizures, or known migraine‐related genetic mutations were excluded. Each thyroid cohort was compared with a control group without thyroid disease, with groups balanced on key demographic and clinical characteristics including age, sex, and hypertension; beta‐blocker use was additionally considered in the hyperthyroidism cohort. The primary outcome was diagnosis of migraine (International Classification of Diseases, 10th Revision, code G43) within 5 years of index date. Subgroup analyses were conducted by race (Caucasian, African American/Black, Asian) and age (18–40, 40–65, 65–100 years). Sensitivity analyses assessed robustness to alternative visit thresholds and expanded covariate adjustment. Results A total of 33,327,750 patients were included in the hypothyroidism analysis and 28,182,377 in the hyperthyroidism analysis. Baseline differences between groups were minimized after cohort balancing. Hypothyroidism was associated with higher odds of migraine across all racial groups, strongest among African American/Black (odds ratio [OR] 2.04; 95% confidence interval [CI] 1.91–2.17), followed by White (OR 1.93; 95% CI 1.89–1.96) and Asian (OR 1.83; 95% CI 1.69–1.98). Hyperthyroidism was similarly associated with increased migraine odds, most prominently among White (OR 1.64; 95% CI 1.59–1.70), with smaller but significant associations in African American/Black (OR 1.28; 95% CI 1.14–1.44) and Asian (OR 1.18; 95% CI 1.07–1.29). Elevated odds were observed across all age strata, generally increasing with age. Findings were consistent in sensitivity analyses. Conclusion In this large, multinational real‐world study, both hypothyroidism and hyperthyroidism were independently associated with increased migraine prevalence across diverse racial and age groups. These results highlight thyroid dysfunction as an important comorbid condition in migraine and support further prospective and mechanistic investigation.

Abstract Background Preterm premature rupture of membranes (PPROM) and preterm labor (PTL) are adverse obstetrical outcomes that are strongly associated with cervical high-risk human papilloma virus (cHPV) infection at the time of pregnancy. Persistent cHPV may lead to oncogenic changes in the cervico-vaginal tract and can cause inflammation in gestational tissues, but it is unknown how persistent cHPV infection may affect obstetrical outcomes. The aim of this study is to evaluate whether persistent cHPV infection is associated with recurrent PPROM or PTL among patients with a prior spontaneous preterm birth due to PPROM/PTL, and to examine clinical and pathologic characteristics of cHPV infection in this population. Methods We conducted a retrospective cohort study of patients delivering at Mayo Clinic Rochester or Mayo Clinic Health System (5/1/2018–12/31/2023). Eligible patients had ≥ 1 spontaneous preterm birth due to PPROM/PTL and positive cHPV testing. Demographics and pregnancy outcomes from index and subsequent pregnancies were abstracted. Persistent cHPV was defined as > 1 pregnancy with positive cHPV testing. Results Of 191 index pregnancies, 90 (47.1%) and 30 (33.3%) had one and two subsequent pregnancies, respectively. Patients were predominantly White (91.3%), non‑Hispanic (94.2%), non-smokers (72.0%), and 34.8% were unvaccinated for HPV. Approximately one‑third (31%) experienced recurrent PPROM/PTL in the second pregnancy, with recurrence in 40.7% of those with persistent cHPV and 27.4% without (p = 0.69). Excisional procedures occurred before 12.0% of index pregnancies and 20–24% of subsequent pregnancies; recurrence of PTL/PPROM remained high regardless of procedure history. HPV strain data were available for 132 index pregnancies, and types 16 and 18 were more likely to persist into a subsequent pregnancy (p = 0.0043). CIN persistence occurred at similar rates in patients with and without persistent cHPV infection. Placental inflammation rates were high in both patients with persistent and non-persistent cHPV. Conclusion Recurrent PPROM/PTL, CIN persistence, and placental inflammation were common; a finding independent of persistent cHPV infection, excisional procedure history, or HPV vaccination status. These findings suggest that factors other than cHPV persistence may play a larger role in recurrent preterm birth. Larger studies with higher cHPV prevalence and subsequent pregnancies are needed to provide clarity.

Abstract M.D.-Ph.D. programs in the United States have traditionally followed a “2- n -2” curricular model, with the graduate phase occurring between the pre-clerkship and clerkship portions of medical training. While well established, this format can limit trainee autonomy in shaping their physician-scientist training trajectories. In response, some programs have introduced a “3- n -1” model, allowing students to complete clerkships before beginning Ph.D. training. Our institution implemented multiple flexible curricula in 2017. Understanding why trainees choose one pathway is important as programs consider implementing more adaptable training structures. To investigate these factors, we surveyed M.D.-Ph.D. students at our institution, which offers multiple flexible curricular alternatives, about contributions to their curricular decisions. Responses supported that trainees weigh considerations across medical education, scientific development, and integrated physician-scientist training domains. Although the traditional pathway was a popular option, most students pursued one of the flexible pathways. Our findings suggest that introducing flexibility in the timing of undergraduate medical education and graduate training can support diverse educational, logistical, and personal priorities while maintaining the rigor of physician-scientist training. Offering multiple pathways empowers trainees to design trajectories that best fit their needs. Continued longitudinal studies are needed to assess the long-term impacts of flexible curricula on physician-scientist career outcomes.

ABSTRACT Background Acute heart failure (AHF) exhibits marked heterogeneity in diastolic hemodynamics, yet comprehensive echocardiographic assessment of diastolic function (DF) and filling pressure (FP) is often infeasible. We evaluated whether artificial intelligence–enabled electrocardiography (AI-ECG) could provide scalable DF grading and FP estimation in hospitalized AHF patients. Methods We retrospectively studied adults hospitalized for AHF across Mayo Clinic sites (2013–2023) who received ≥1 dose of intravenous loop diuretic and had paired 12-lead ECG and TTE. The previously validated AI-ECG DF model was applied without retraining to generate four DF grades and a continuous FP probability. Clinical outcomes were all-cause mortality and heart failure rehospitalization. Associations with clinical severity markers and echocardiographic indices were examined. Kaplan–Meier survival analysis and adjusted multivariable Cox proportional hazards models were performed. Exploratory analyses examine the kinetics of change in FP probability and impact on mortality. Results Among 11,513 patients (median age 75 years, 39% female), AI-ECG DF grading was feasible in 100%, whereas echocardiographic DF was indeterminate in 44% of clinically eligible patients. In 2,582 patients with determinate echocardiographic DF, AI-ECG FP probability discriminated TTE Grade 2–3 dysfunction with AUC 0.85 (95% CI 0.83 – 0.86). Higher AI-ECG DF grades were associated with higher comorbidity burden, worse NYHA class, elevated NT-proBNP, higher MAGGIC scores, elevated PCWP, and more advanced structural remodeling. After multivariable adjustment, AI-ECG DF remained independently associated with mortality (hazard ratio [HR] 1.25, 95% CI 1.16–1.35 for Grade 2; HR 1.44, 95% CI 1.33–1.56 for Grade 3 versus Normal/Grade 1). Combining AI-ECG DF with MAGGIC scores yielded ordered risk gradients, with highest mortality in patients with both high MAGGIC and Grade 2–3 DF. Among patients with serial ECGs, improvement in FP probability was independently associated with lower mortality (HR 0.85, 95% CI 0.79–0.91), whereas worsening did not show a consistent adverse gradient beyond baseline DF. Conclusions In a large, geographically diverse AHF cohort, AI-ECG DF grading was universally feasible, correlated with established hemodynamic severity markers, and provided independent prognostic information beyond established risk factors, supporting its role as a pragmatic, scalable diastolic biomarker in AHF. CLINICAL PERSPECTIVE What Is New? In 11,513 hospitalized acute heart failure (HF) patients, artificial intelligence-enabled electrocardiography provided diastolic function grading in 100% of patients from a single 12-lead ECG without requiring additional clinical variables, compared with 56% feasibility for guideline-based echocardiography grading. AI-ECG diastolic function grades correlated with established marker of severity (NYHA functional class, NT-proBNP, MAGGIC risk scores, and pulmonary capillary wedge pressure) and remained independently associated with both mortality and HF rehospitalization after multivariable adjustment. Serial AI-ECG measurements identified post-discharge filling pressure trajectories, with improvement independently associated with 15% lower mortality, a first demonstration that longitudinal ECG assessment can track post-discharge hemodynamic recovery. What Are the Clinical Implications? AI-ECG transforms the universally obtained 12-lead ECG into an actionable hemodynamic biomarker that addresses the critical gap when echocardiographic diastolic function assessment is indeterminate or unavailable in acute HF patients. Despite markedly different hemodynamic severity and long-term outcomes across AI-ECG diastolic function grades, hospitalization length of stay did not differ, suggesting advanced diastolic dysfunction represents occult risk not easily recognized during routine acute care and highlighting the need for improved post-discharge risk stratification. The continuous filling pressure probability metric enables longitudinal monitoring of post-discharge hemodynamic status using serial routine ECGs, potentially identifying patients requiring intensified follow-up or specialist referral.

Stereotactic arrhythmia radiotherapy (STAR) is emerging as a highly effective treatment for ventricular tachycardia (VT). Growing evidence indicates that STAR favorably reprograms the electrical substrate by speeding conduction and/or prolonging repolarization via modulation of ion channel expression, although the mechanisms by which single-fraction radiation mediates durable changes in gene expression are incompletely understood. Here, we identify dynamic changes in the cardiomyocyte epigenome and transcriptome after irradiation (IR) in vivo and in vitro, including durably increased expression and chromatin accessibility of Scn5a (encodes the α subunit of the sodium channel, Na V 1.5), demonstrating a role for epigenetic memory in conduction velocity (CV) increases observed after STAR. Transcriptomic and epigenetic sequencing further identified dynamic changes in gene expression and regulatory regions involved in cellular repolarization, calcium handling, and metabolism after IR. These changes were mirrored by dose-dependent and cell-autonomous changes in repolarization, calcium flux, and mitochondrial respiration, highlighting important cellular processes that may mediate the therapeutic effects of STAR. Overall, we found that cardiomyocytes exposed to a single fraction of high-dose IR exhibited epigenetic reprogramming that mediated broad and dynamic physiologic responses.