Citations

ABSTRACTNodal follicular helper T‐cell (T FH) lymphoma of the angioimmunoblastic (AITL) subtype has a dismal prognosis. Using whole‐exome sequencing (n = 124), transcriptomic (n = 78), and methylation (n = 40) analysis, we identified recurrent mutations in known epigenetic drivers (TET2, DNMT3A, IDH2 R172 ) and novel ones (TET3, KMT2D). TET2, IDH2 R172 , DNMT3A co‐mutated AITLs had poor prognosis (p < 0.0001). Genes regulating T‐cell receptor (TCR) signaling (CD28, PLCG1, VAV1, FYN) or activation (RHOA G17V ) or regulators of the PI3K‐pathway (PIK(3)C members, PTEN, PHLPP1, PHLPP2) were mutated. CD28 mutation/fusion was associated with poor prognosis (p = 0.02). WES of purified, neoplastic T‐cell (CD3+PD1+) demonstrated high concordance with whole tumor biopsies and validated the presence of TET2 and DNMT3A in tumor and non‐lymphoid cells, but other mutations (CD28, RHOA G17V , IDH2 R172 , PLCG1) in neoplastic cells. Integrated DNA‐methylation and mRNA expression analysis revealed epigenetic alterations in genes regulating TCR, cytokines, PI3K‐signaling, and apoptosis. RNA‐seq analysis identified fusion transcripts regulating TCR‐activation (8%), revealed a restricted TCR‐repertoire (α = 87%, β = 72%), and showed the presence of Epstein–Barr virus transcriptome (73%). GEP demonstrated the association of B‐cells or dendritic cells in the tumor milieu with prognosis (p < 0.01). RNA‐seq and WES analysis of 12 AITL‐patient‐derived‐xenografts (PDX) showed that bi‐allelic TET2 and DNMT3A mutations or sub‐clonal mutations (PLCG1, PHLPP2) propagated in sequential passages, and gene signatures related to T FH and T CM (central‐memory) were well‐maintained through passages. Gene expression signatures associated with late PDX passages (3rd–5th) were enriched with proliferation and metabolic reprogramming‐related genes and predicted prognosis in an independent AITL series. Low PHLPP2 mRNA expression predicted poor prognosis (p = 0.05) and engineered PHLPP2 or TET2 loss in CD4+ T‐cells showed enhanced PI(3)K activation, thus uncovering a therapeutic target for clinical trials.

ABSTRACT Background Despite the classic Kraepelinian dichotomy between bipolar disorder (BD) and schizophrenia (SZ), contemporary evidence suggests shared antecedent risk factors and similarities in the early course. This study aimed to identify distinct trajectories leading to first‐episode mania (FEM) and first‐episode psychosis (FEP) by examining antecedent psychopathology, including psychiatric diagnoses, symptoms, substance use, and psychotropic medication exposure. Methods Individuals born after 1985 who resided in Olmsted County, Minnesota, USA, and had FEM/FEP were identified through the Rochester Epidemiology Project. Latent class analysis (LCA) was used to identify subgroups based on antecedent psychopathology incorporating 57 dichotomous antecedent measures before FEM/FEP. Results A total of 202 individuals ( BD n = 73, SZ n = 129; 26.7% female, mean age 20.8 ± 3.7 years) were included. A 3‐class LCA model optimally fits the data. Class 1 (Neurodevelopmental, 29.7%) had a high prevalence of neurodevelopmental disorders, behavioral symptoms, and ADHD medication use. Class 2 (Depressive‐Anxious, 31.2%) included depressive and anxiety disorders, mood‐related symptoms, and SSRI / SNRI use. Class 3 (Minimal Psychiatric Morbidity, 39.1%) had a low prevalence of antecedent diagnoses and symptoms, with comparable substance use to other classes. There were significant diagnostic differences, with SZ being more common in the Neurodevelopmental (71.7%) and Minimal Psychiatric Morbidity (70.9%) classes, while BD was more common in the Depressive‐Anxious class ( p = 0.007). Neurodevelopmental and Minimal Psychiatric Morbidity classes had higher proportions of males (85.0% and 82.3%, respectively) compared to the Depressive‐Anxious class (50.8%, p < 0.001). The Neurodevelopmental class showed an earlier age at first mental health visit (9.5 ± 5.5 years) and a longer antecedent illness duration (10.8 ± 6.1 years) than the other classes ( p < 0.001). Conclusion This study identified three distinct pathways to FEM and FEP, offering a transdiagnostic perspective on the antecedent illness trajectories of BD and SZ. Future research should validate these categories that are more inclusive than the classic BD versus SZ dichotomy and explore their potential for predicting illness course and guiding personalized early interventions.

Abstract Calcitriol-induced hypercalcemia is most frequently caused by granulomatous and inflammatory conditions such as sarcoidosis as well as lymphoma. Recently, pathogenic CYP24A1 variants resulting in inability of the 24-hydroxylase enzyme to deactivate 1,25(OH)2D has been found to be a cause of calcitriol-induced hypercalciuria and hypercalcemia in children and adults. Patients may present with hypercalcemia, suppressed PTH, hypercalciuria, and renal stones. We describe 4 young women and 1 man with calcitriol-associated hypercalcemia in whom pathogenic CYP24A1 variants were found to be the cause. In 2 of the 3 women who became pregnant, hypercalcemia worsened (the calcium was not checked during pregnancy in the third). Lactation was associated with worsened hypercalcemia in the 2 women who breast-fed. In the other woman who did not become pregnant, serum calcium levels varied from high normal to markedly elevated often without an explanation. The male patient was a middle-aged man with a long history of kidney stones and hypercalcemia as well as a family history of kidney stones. Gene sequencing confirmed that each patient had 2 variants in CYP24A1. We share 5 cases of a rare condition and further broaden the presentation of CYP24A1 variants to not only include worsening hypercalcemia in pregnancy, but also during lactation. Further calcium levels may vary markedly in patients with this condition. Physicians should consider pathogenic CYP24A1 variants in patients with unexplained calcitriol-associated hypercalcemia/hypercalciuria.

Background: The role of fine-needle aspiration (FNA) in diagnosing parotid tumors remains debated due to varying accuracy. This study evaluates FNA’s accuracy in diagnosing Warthin’s tumor (WT) and its safety in guiding observational management. Study design: Retrospective cohort study. Setting: Single institution, Tertiary referral center. Methods: Data from 2010 to 2022 including demographics, cytology, pathology, and surgical outcomes were extracted. Accuracy was assessed using sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Results: Among 808 patients with parotid tumors, 234 were WTs. Seventy-eight patients underwent surgery with pathology while 156 underwent observation. FNA sensitivity, specificity, PPV, and NPV for WTs were 98.2%, 98.1%, 91.8%, and 99.6% respectively. No observational patients developed clinical signs of malignancy, and the median change in tumor size was 0 cm (range −3.1 to 2.1). Conclusions: FNA is highly specific for WT but limited by nondiagnostic results. Observation is a safe approach with minimal risk of growth, malignancy, or infection.

ABSTRACT Background Sodium‐glucose cotransporter 2 inhibitors (SGLT2‐Is) are primarily used to manage type 2 diabetes mellitus (T2DM) and heart failure (HF), but their impact on reducing stroke risk in patients with atrial fibrillation (AF) remains underexplored. We aimed to investigate the impact of SGLT2‐Is for stroke risk mitigation in patients with AF. Methods Using the TriNetX database, we performed a retrospective cohort study on patients ≥ 18 years with AF and on anticoagulation. These patients were then classified into two cohorts based on their use of SGLT2‐Is. To balance the baseline demographics, comorbidities, and medication use, propensity score matching (PSM) was used. The primary outcome was ischemic and hemorrhagic strokes, and the secondary outcomes were all‐cause mortality, all‐cause hospitalizations, need for AF cardioversion or antiarrhythmic drug initiation, and cardiac arrest. Adjusted odds ratio (aORs) and hazard ratios (HRs) were estimated for both the primary and secondary outcomes. Results A total of 152,778 patients with 76,389 patients were included in each cohort (SGLT2‐Is users, and non‐users) after PSM. The mean age of both SGLT2‐Is users and non‐users was 72.8 years. For the SGLT2‐Is users, the mean follow‐up period was 317 days, whereas the mean follow‐up period for the non‐users was 306 days. For the primary outcome, we found that SGLT2‐Is users had a lower risk of ischemic stroke (aOR: 0.889; 95% CI: 0.857–0.923) and hemorrhagic stroke (aOR: 0.682; 95% CI: 0.620–0.749) compared to non‐users. Regarding the secondary outcomes, SGLT2‐Is users also had lower risk for all‐cause mortality (aOR: 0.615; 95% CI: 0.595–0.636), all‐cause hospitalizations (aOR: 0.599; 95% CI: 0.587–0.611), need of AF cardioversion (aOR: 0.846; 95% CI: 0.813–0.881), antiarrhythmic drug initiation (aOR: 0.790; 95% CI: 0.766–0.815), and cardiac arrest (aOR: 0.643; 95% CI: 0.601–0.688). Conclusions SGLT2‐I use in patients with AF is associated with lower risks of stroke and other cardiovascular and non‐cardiovascular outcomes. Future prospective research is needed to validate these findings.

Abstract Glaucoma is characterized by programmed cell death of retinal ganglion cells (RGCs) after axonal injury. Several studies have shown the cell-intrinsic drivers of RGC degeneration act in a compartment-specific manor. Recently, the transcription factors JUN and DDIT3 were identified as critical hubs regulating RGC somal loss after mechanical axonal injury. It is possible somal DDIT3 and JUN activity initiates axonal degeneration mechanisms in glaucoma. Alternatively, DDIT3 and JUN may act downstream of inciting degenerative mechanisms and only drive RGC somal loss. The MAP2Ks MKK4 and MKK7 control all JNK and JUN activity and can indirectly activate DDIT3. Furthermore, MKK4 and MKK7 have been shown to drive RGC axonal degeneration after mechanical axonal injury. The present work investigated whether JUN and DDIT3, or their upstream activators MKK4 and MKK7, control degeneration of RGC axons and somas after glaucoma-relevant injury. Ddit3 and Jun deletion did not prevent axonal degeneration in ocular hypertensive DBA/2J mice but prevented nearly all RGC somal loss. Despite robust somal survival, Ddit3 and Jun deletion did not preserve RGC somal viability (as assessed by PERG decline and soma shrinkage) in DBA/2J mice or after glaucoma-relevant mechanical axonal injury. In contrast, Mkk4 and Mkk7 deletion significantly lessened degeneration of RGC somas and axons, and preserved somal function and size after axonal injury. In summary, activation of MKK4 and MKK7 appears to be the inciting mechanism governing death of the entire RGC after glaucoma-relevant injury; driving death of the RGC soma (likely through activation of DDIT3 and JUN), decline in somal viability, and axonal degeneration via DDIT3 and JUN-independent mechanisms.

Abstract Intracellular protein transport (ICT) is a tightly regulated process that orchestrates protein localization and expression, ensuring proper cellular function. Dysregulated ICT can lead to aberrant expression of surface proteins involved in cell-cell communication, adhesion, and immune responses, contributing to disease progression and therapeutic resistance. Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) enables the simultaneous measurement of mRNA and surface protein levels in the same cell, providing a powerful opportunity to investigate the molecular mechanisms underlying surface protein regulation. In this study, we introduce a novel computational frame for Modeling Protein Expression and Transport (MPET) that evaluates the contribution of ICT activity to differential surface protein expression using CITE-seq data. MPET comprises three modules for identification of ICT– surface protein regulatory circuits across biological scales and their contributions to phenotypic variation. We applied MPET to analyze single-cell data from COVID-19 patients with varying disease severity. Our analysis revealed context-dependent recruitment of ICT genes and pervasive rewiring of ICT pathways throughout the course of disease progression. Notably, we found that even when the transcriptional levels of key immune response proteins remained stable, their expression on cell surface were significantly altered due to dysregulated ICT. MPET provides a valuable new tool for dissecting complex regulatory networks and offers mechanistic insight into post-transcriptional regulation of cell surface proteins in diseases.