Citations

Background: Hepatic stellate cells (HSCs) play a pivotal role in driving fibrosis during chronic liver injury. HSCs produce vast amounts of fibrotic proteins, causing endoplasmic reticulum (ER) stress and initiating the unfolded protein response (UPR). While the UPR is important for fibrogenesis, how signaling through UPR transducer Protein Kinase R-like ER Kinase (PERK) and its effectors impact HSC activation and fibrogenesis is unclear. Here, we sought to uncover the role of PERK and its effector GADD45A in liver fibrosis. Methods: PERK–GADD45A signaling was assessed in primary and immortalized HSCs treated with TGFβ, and mouse models of fibrosis. Genetic and pharmacological disruption of PERK or GADD45A was used to assess the role of PERK or GADD45A in HSC activation, proliferation, and fibrogenesis. HSC-specific Gadd45a -null mice were utilized to investigate the role of GADD45A on CCl 4 -induced fibrosis. Results: We found that TGFβ-induction of collagen I drives activation of PERK signaling in HSCs. Furthermore, loss or inhibition of PERK limits long-term HSC activation as illustrated by reduced levels of collagen I and fibronectin, impaired collagen I deposition, and reduced cell proliferation in vitro. Next, we show that PERK signaling induces expression of GADD45A during HSC activation, and loss of GADD45A disrupts HSC activation and expression of proliferation and cell-cycle-associated genes in immortalized and primary HSCs. Finally, HSC-specific GADD4Aa loss limits CCl 4 -driven fibrogenesis in vivo. Conclusion: PERK signaling is critical for HSC activation, and loss of the PERK downstream effector GADD45A limits fibrosis progression. Disruption of HSC activation and proliferation, coupled with dysregulation of cell-cycle-associated genes upon PERK or GADD45A loss, suggests that PERK–GADD45A signaling impacts multiple facets of HSC pathophysiology.

Abstract Multiple myeloma (MM) is a heterogenous cancer that remains mostly incurable. A unifying feature of MM cells is a highly interconnected network of transcription factors and co-factors that coordinate the activity of super-enhancers to enforce myeloma cell identity. Targeting this network offers a promising avenue for therapeutic intervention across genetically diverse myeloma sub-types. Using integrated molecular and functional genomic approaches we identified Menin as a key driver of oncogenic gene expression in MM cells. Menin and its co-factor KMT2A bind at super-enhancers and maintain expression of essential myeloma genes, including IRF4. We demonstrate that Menin inhibitors, which have recently been approved for treatment of acute myeloid leukaemia, are highly active in myeloma cell lines and in vivo models. Combining Menin inhibitors with other super-enhancer targeting therapies such EP300/CREBBP inhibitors or immunomodulatory drugs (IMiDs) overcomes epigenetic plasticity in cells resistant to single agent treatment.

Abstract Background Sleep disturbances are common in Alzheimer's disease and have been reported in its preclinical stage. A detailed characterization of sleep disruption across the Alzheimer’s disease continuum is required to clarify its role as a potential therapeutic target and to evaluate the utility of sleep-related biomarkers. Methods Sleep architecture was characterized through detailed spectral and temporal analysis of the slow-wave activity using polysomnography across the Alzheimer’s disease continuum . Participants included: cognitively unimpaired individuals without abnormal Alzheimer’s disease biomarkers (n = 30), cognitively unimpaired individuals with abnormal Alzheimer’s disease biomarkers (n = 45), and individuals with mild cognitive impairment or mild dementia due to Alzheimer’s disease (n = 41). Associations between slow-wave features and longitudinal cognitive performance were tested in cognitively unimpaired participants. Sex differences were also explored. Results A stepwise increased wake after sleep onset and latency to rapid eye movement sleep was observed, alongside reduced spectral power of slow-wave activity and a progressive flattening of slow-waves across the Alzheimer’s disease continuum in both sexes. In cognitively unimpaired individuals, higher slow-wave slope and greater peak-to-peak amplitude were associated with better cognitive trajectories over time. Conclusions Sleep macro- and microarchitecture are altered early and progressively deteriorate across the Alzheimer’s disease continuum . Slow-wave features relate to cognitive trajectories in preclinical Alzheimer’s disease, with exploratory analyses suggesting stronger associations in men. These findings support slow-wave morphology as a candidate non-invasive marker for future sleep-based intervention studies.

Diffuse large B-cell lymphoma (DLBCL), the most common type of lymphoma, arises from various pathogenic mechanisms including gene translocations and fusions. Detection of gene rearrangements using fluorescence in situ hybridization (FISH) is a standard practice for DLBCL diagnosis and guides treatment decisions. High-throughput chromosome conformation capture (Hi-C) DNA sequencing is a next-generation sequencing-based technology to identify genome-wide rearrangements using a single assay. In this study, Hi-C sequencing was performed using FFPE tissues from 159 patients with DLBCL, and identified 746 cancer genes at or proximal to the rearrangement breakpoints with a total of 1903 occurrences. Focusing on clinically important rearrangements, Hi-C detected 102 rearrangements of MYC, BCL2, and/or BCL6 in 92 patients and revealed the fusion partners, including 25 rearrangements missed by FISH. Causes of FISH negative results included FISH-cryptic breakpoints, complex or faint FISH signals, low percentage of FISH positivity, and issues related to tissue fixation. Moreover, in 20 patients (12.6%), Hi-C sequencing detected 22 rearrangements characteristic of other lymphoma types, including CCND1 rearrangements that could lead to reclassification as mantle cell lymphoma. Survival analysis for genome-wide rearrangements using machine learning models identified MYC, PD-L1, CCND1, BCL2, NTRK1/PRCC, RRAS, and FANCE rearrangements with significant prognostic effects in the DLBCL cohort. In conclusion, Hi-C sequencing detects gene rearrangements crucial for diagnosis in an unbiased and molecular manner and showed high sensitivity and specificity in our study. These advantages of Hi-C sequencing offer help to improve the workflow of clinical pathology laboratories, diagnostic precision, and treatment of large B-cell lymphoma.

ABSTRACT Background Cerebrospinal fluid (CSF) leak after retrosigmoid vestibular schwannoma resection remains a challenging complication. Historically, surgeons reopened the prior retrosigmoid incision for transmastoid repair because the safety of creating a separate postauricular incision was uncertain, with concerns regarding wound breakdown and infection. However, limited data support this practice, and a focused mastoid incision may offer improved access and patient tolerance. This study evaluated wound healing outcomes following transmastoid repair using a new postauricular incision for persistent CSF leak after retrosigmoid surgery in patients without serviceable hearing. Methods We retrospectively reviewed 27 patients who underwent transmastoid repair for persistent postoperative CSF leak after retrosigmoid craniotomy for vestibular schwannoma (2000–2025). Demographics, operative details, timing of leak diagnosis and repair, wound complications, readmissions, antibiotic use, and culture results were analyzed. Results Median age was 48 years (IQR 41–56); 67% were male, and mean BMI was 29.0 kg/m 2 . Mastoid obliteration was performed in 96%, with fat grafting in 93%. A new postauricular incision was used in all cases. Median time to leak diagnosis was 13 days (IQR 4–79), and median time to repair was 2 days (IQR 1–5). One patient (3.7%) developed a superficial wound abscess; no dehiscence or flap necrosis occurred. At median follow‐up of 34 months (IQR 2.9–87.7), all wounds were healed. CSF leak recurred in two patients (7.4%) and three (11.1%) required reoperation. Conclusion A separate postauricular incision for transmastoid CSF leak repair was not associated with increased wound morbidity. Durable wound healing was achieved in all patients, with 93% legal control, supporting this anatomy‐driven approach. Level of Evidence 4

ABSTRACT Background The adoption of angle‐based minimally invasive glaucoma surgery (MIGS) procedures has accelerated in recent years; however, inherent limitations remain. Imaging‐based techniques across the pre‐, intra‐ and post‐operative stages of surgery may facilitate patient selection and improve surgical outcomes. This systematic review explores the application of imaging‐based techniques to visualise aqueous humour outflow (AHO) in angle‐based MIGS. Methods A literature search was performed on PubMed, EMBASE and Cochrane Library from inception to 16 February 2025. Cohort, cross‐sectional and observational studies reporting the use of imaging‐based techniques to visualise AHO in angle‐based MIGS were included in this review. Results An initial 393 studies were identified, with 21 studies included in final analysis. Imaging techniques reported in literature included various methods to directly observe episcleral veins, haemoglobin venous imaging (HVI), fluorescein and indocyanine green (ICG) aqueous angiography, channelogram and anterior segment optical coherence tomography angiography (AS‐OCTA). Visualisation of AHO pre‐ and intra‐operatively may predict surgical outcomes, aiding in patient selection and surgical prognostication. Intra‐operative imaging may facilitate targeted placement of MIGS in areas of initially angiographically low or high areas of AHO. AHO assessment pre‐, intra‐ and post‐operatively may allow comparative analysis of surgical success and efficacy across various angle‐based MIGS. Conclusions Imaging‐based techniques visualising AHO have significant potential to improve surgical outcomes of angle‐based MIGS.

Objectives: Consensus clinical criteria for refractory septic shock were recently developed, but the incidence and outcomes with these criteria are unknown. There were two aims: 1) to describe the incidence of refractory septic shock and 2) to assess outcomes of patients with septic shock meeting refractory septic shock criteria compared with those who did not. Design: Multicohort, retrospective study. For aim 1, a descriptive epidemiologic study was designed to ascertain the cumulative incidence of refractory septic shock in patients with septic shock. For aim 2, a cohort study was conducted to compare hospital mortality between patients meeting refractory septic shock clinical criteria compared with those who did not. Setting: Large U.S. health system from 2012 to 2024. Patients: Adults (age ≥ 18 yr) meeting both Centers for Disease Control and Prevention Adult Sepsis Event and Sepsis-3 clinical criteria for septic shock. Patients with missing hospital discharge disposition and incomplete vasopressor dosage information were excluded. Interventions: None. Measurements and Main Results: Clinical criteria for refractory septic shock were operationalized as concomitant occurrence of norepinephrine (base) equivalent greater than 0.5 µg/kg/min and lactate greater than 2 mmol/L. Risk-adjusted hospital mortality was assessed with a generalized linear mixed-effects model with a random effect for hospital and fixed effects for age, sex, Elixhauser Comorbidity Index, and Sequential Organ Failure Assessment (original description, without cardiovascular component). Of 35,914 patients assessed, 15,732 patients with septic shock were included. Refractory septic shock occurred in 3423 patients (21.8%), with a cumulative incidence of 218 cases (95% CI, 211–224) per 1000 patients with septic shock. Hospital mortality with refractory septic shock was 64.4%, and risk-adjusted hospital mortality odds were 4.87-fold higher (95% CI, 4.46–5.31) compared with patients without refractory septic shock. Conclusions: Clinical criteria for refractory septic shock were fulfilled in about one in five patients with septic shock and associated with substantially higher mortality.

Background: Longitudinal assessments are increasingly common as a component of continuing certification programs offered by medical specialty boards. The goal of this study was to understand anesthesiologists’ utilization pattern, performance, and perception of the longitudinal assessment program administered by the American Board of Anesthesiology (Raleigh, North Carolina). Methods: The authors analyzed assessment usage and survey data from all anesthesiologists who participated in the Maintenance of Certification in Anesthesiology (MOCA) Minute from January 2018 to December 2019. Results: During the 24-month study period, 25,404 anesthesiologists completed all 120 questions assigned in at least 1 calendar year, collectively 5,801,160 responses to 1,646 unique questions. Participants were more likely to complete questions at the end of each quarter, with the highest frequency at the end of the year. Seventy-five percent of responses were first-time attempts, and 17% were first repeats. The median interval between original question presentation and first repeat was 314 days. The mean ± SD percent correct score was 68.3 ± 8.0% for first-time questions and 75.5 ± 12.6% for first repeats. The mean ± SD time to answer a first-time question was 26.8 ± 13.1 s, with shorter times for questions with correct than incorrect responses (25.0 ± 12.7 vs . 30.7 ± 13.3 s; time difference, −5.69 s; 95% CI, −5.71 to −5.66; P < 0.001). Of 5.11 million responses with ratings of relevance (88.2% of all responses analyzed), 4.86 million (95.2%) were felt to be somewhat or very relevant to practice. The percent correct scores were higher for responses with higher relevance and confidence ratings. For responses rated “not relevant,” “somewhat relevant,” and “very relevant,” the percent correct was 58.5%, 67.6%, and 77.0%, respectively; for responses rated as “unsure,” “somewhat confident,” and “very confident,” the percent correct was 53.6%, 67.9%, and 84.4%, respectively. Conclusions: MOCA Minute was generally used as designed. Evidence of learning was suggested by improved performance on repeat questions.

e23510 Background: There is minimal data comparing the prognostic models (PM) developed to predict recurrence of Gastrointestinal stromal tumors (GIST). Current PM include tumor size, location, and mitotic index (MI) but lack genotypic data. This analysis compares the performance of the National Institute of Health, Armed Forces Institute of Pathology, and Memorial Sloan Kettering Cancer Center models for predicting tumor recurrence with and without adjustment for c-kit Exon 11 mutation status (MS). Methods: This is an IRB-approved single-institution retrospective analysis. Adults with GIST mentioned in their medical records from 2014 – 2025 at the authors’ institution were identified. 330 patients with documented biopsy-proven GIST were included. Data was collected by manual review. PM were evaluated using multivariate analysis, adjusting for surgical resection, systemic therapy, and c-Kit exon 11 MS. Predictive performance was measured by area under the curve (AUC) and receiver operating characteristics (ROC) analysis. Results: Mean age at diagnosis was 64.6 years (SD =13.1 years). 46.7 % of patients were male. Primary GIST was most common in the stomach (63.9%) and small bowel (23.6%). Primary tumors were an average of 6.5 cm (SD 5.6 cm) with a MI of 6.6/50 HFU (SD = 13.4 50/HFU). Patients received resection (80.9%) and first-line systemic therapy with imatinib (43.3%). Recurrence occurred in 17.9% of patients. 19.4% of patients completed genetic testing, of which 51.6% were c-Kit exon 11 mutation positive. The predictive performance of all PM was not statistically different with (p value = 0.16) or without (p value = 0.18) adjustment for c-Kit exon 11 MS (Table 1). However, adjusting for c-Kit exon 11 MS improved AUC for all PM. Conclusions: Adjusting PM for c-KIT exon 11 status improved the predictive performance of all PM, although the results were not significant. This study found no significant difference in the performance of PM that predict GIST recurrence, which aligns with the one other study on this topic. Lack of significance may be due to a small sample size, which also limited the multivariate analysis. Including genotypes in PM that predict GIST recurrence should be further explored with larger multi-center datasets that can adjust for multiple mutations. Multivariate analysis comparing prognostic models for gastrointestinal stromal tumors at predicting recurrence with and without adjustment for c-KIT exon 11 genotypes using receiver operating characteristic. Without c-Kit exon 11 AUC (95% Confidence Interval) P value NIH 0.86 (0.81,0.90) 0.18 AFIP 0.87 (0.82,0.91) MSKCC 0.89 (0.84,0.94) With c-Kit exon 11 genotype NIH 0.80 (0.67,0.93) 0.16 AFIP 0.84 (0.73,0.95) MSKCC 0.90 (0.80,0.99) NIH: National Institute of Health, AFIP: Armed Forces Institute of Pathology, MSKCC: Memorial Sloan Kettering Cancer Centre. AUC: Area under the curve.