Citations

Abstract Emphysema’s significant morbidity and mortality underscore the need for reliable outcome metrics in clinical trials. However, commonly accepted chronic obstructive pulmonary disease outcome measures do not adequately capture emphysema severity or progression. Computed tomography (CT) metrics have been validated as accurate indicators of pathological emphysema and predictors of chronic obstructive pulmonary disease progression, exacerbations, and mortality. This position paper reviews the evidence supporting CT densitometry as a biomarker for emphysema, establishes implementation standards, and highlights areas for future research. A systematic literature review addressed three key questions: whether CT densitometry can be used as a diagnostic biomarker of emphysema, whether CT densitometry can be used as a prognostic biomarker, and whether longitudinal change in densitometry can be used as a disease progression monitoring biomarker. Emphysema metrics, such as the percentage of low attenuation areas below −950 Hounsfield units, are validated, highly reproducible diagnostic and prognostic biomarkers. Volume-adjusted lung density is recommended for disease monitoring. Both metrics demonstrate a scan–rescan intraclass correlation coefficient of 0.99 with proper technique. The paper also discusses relevant CT physics, techniques, and sources of variation, including technical factors, physiological changes, and software analysis. Key recommendations for clinical trials include using standardized CT techniques, proper subject selection, and longitudinal evaluation with volume-adjusted lung density.

Abstract Background Atypical teratoid rhabdoid tumor (ATRT) is a deadly central nervous system embryonal tumor caused by loss of SMARCB1, a core subunit of SWItch/Sucrose Non-Fermentable (SWI/SNF) chromatin remodeling complexes. SMARCB1-deficient cancers are defined by loss of cell differentiation-associated enhancers, but how SWI/SNF interacts with other arbiters of cell differentiation (specifically lineage-specific transcription factors [TFs]) remains poorly understood. Methods We leveraged a multi-omics approach, patient-derived ATRT cells, and patient-derived orthotopic xenografts to investigate the interplay of SWI/SNF with lineage-specific TFs in a clinically relevant setting. Results We observe that an activating protein 1 (AP-1)-dependent transcriptional regulatory network is lost in ATRT, and AP-1 and lineage-specific TFs TEAD1 and ZIC2 require SMARCB1 for enhancer binding. SMARCB1-dependent SWI/SNF integrates transcriptional functions of lineage-specific TFs into a core regulatory circuit that depends on the AP-1 subunit c-JUN, whose expression is determined by a SMARCB1-dependent super-enhancer that is lost in ATRT-MYC. In the absence of SMARCB1, lineage-specific TFs are sequestered to promoters, where they maintain core transcriptional programs necessary for cell survival. Targeting residual, promoter-proximal TF activity by a protein degrader of the SWI/SNF ATPase SMARCA4 or small-molecule inhibitors that indirectly inhibit AP-1 and TEAD activity abrogates expression of these networks, reducing cell viability in vitro and prolonging survival in an orthotopic patient-derived xenograft model. Conclusions These results demonstrate SWI/SNF complexes are critical for lineage-specific TF binding and activity at both promoters and enhancers. In the context of ATRT, these findings reveal a previously underappreciated therapeutic vulnerability in targeting residual promoter-proximal TF function in ATRT.

Abstract Leucine-rich repeat kinase 2 (LRRK2) phosphorylates a subset of Rab GTPases that regulate receptor trafficking; activating mutations in LRRK2 are linked to Parkinson’s disease. Rab phosphorylation is a transient event that can be reversed by phosphatases, including PPM1H, that acts on phosphoRab8A and phosphoRab10. Here we report a phosphatome-wide siRNA screen that identified PPM1M as a phosphoRab12-preferring phosphatase that also acts on phosphoRab8A and phosphoRab10. Upon knockout from cells or mice, PPM1M displays selectivity for phosphoRab12. As shown previously for mice harboring LRRK2 pathway mutations, knockout of Ppm1m leads to primary cilia loss in striatal cholinergic interneurons. We have also identified a rare PPM1M mutation in patients with Parkinson’s disease that is catalytically inactive when tested in vitro and in cells. These findings identify PPM1M as a key player in the LRRK2 signaling pathway and provide a new therapeutic target for the possible benefit of patients with Parkinson’s disease. Teaser Parkinson’s linked Rab phosphorylation is reversed by PPM1M; the inactive D440N variant is implicated in rare patient cases.

Objective Early‐onset Alzheimer's disease (EOAD) and late‐onset Alzheimer's disease (LOAD) differ in many respects. Here, we address the issue of possible differences in fibrillar amyloid pathology as measured by positron emission tomography (PET), which remains unresolved due to the lack of large‐scale comparative studies. Methods Three hundred ninety‐nine cognitively impaired participants younger than 65 years of age from the multicenter Longitudinal Early‐onset Alzheimer's Disease Study (LEADS) and 450 cognitively impaired participants older than 65 years from the Alzheimer's Disease Neuroimaging Initiative (ADNI) underwent clinical assessment, brain magnetic resonance imaging (MRI), and amyloid PET and were included in this study. We compared amyloid PET outcomes (positivity rate based on visual read and quantified tracer uptake expressed as Centiloids [CLs]) between the 2 cohorts and studied their association with age, sex, APOE genotype, and cognition. Results The amyloid positivity rate was higher in LEADS (78%, 95% confidence interval [CI] = 74–82) than in ADNI (71%, 95% CI = 67–75, p = 0.02). Lower Mini‐Mental State Examination (MMSE) and APOE4 genotype increased the odds of amyloid positivity in both cohorts. Visually positive scans had higher CLs in LEADS (EOAD, mean = 95.3 ± 26.1) than in ADNI (LOAD, mean = 80.9 ± 36.8, p < 0.0001), predominantly in parietal cortex/precuneus, superior temporal, and frontal cortices. In amyloid‐positive patients, (1) CLs were higher in female patients in both cohorts; (2) APOE4 carriership was associated with lower CLs in EOAD, which was not observed in LOAD; and (3) correlations between CLs and MMSE scores were significantly stronger in EOAD than in LOAD. Interpretation Differences in the burden of amyloid pathology may contribute to differences in clinical and anatomic patterns in sporadic EOAD and LOAD, and have implications for optimizing therapeutic strategies in each group. ANN NEUROL 2025;98:236–248

ABSTRACT Metabolic-associated steatohepatitis-driven hepatocellular carcinoma (MASH-HCC) incidence is rapidly rising worldwide. Lipid metabolic reprogramming is a hallmark of solid tumors to satisfy cancer high metabolic demand. However, it may confer sensitivity to ferroptosis, a cell death mode driven by iron-dependent lipid peroxidation. In this report, we describe the lipid metabolic landscape in MASH-HCC and characterize long chain acyl-CoA synthetases (ACSLs), a family of enzymes involved in synthesis of cellular lipids. Bulk RNA-sequencing, single-cell RNA-sequencing, spatial transcriptomics and immunohistochemistry analyses of human MASH-HCC were integrated to identify differentially expressed lipid metabolism genes. Ferroptosis in vitro was assessed in human HCC cell lines. A characterization of ACSLs was also conducted at the single-cell level in a diet-induced experimental murine model of MASH-HCC. Our analysis revealed that in human MASH-HCC, ACSLs exhibit a heterogeneous expression, with ACSL4 notably enriched in tumor tissues, contrasting with ACSL5 upregulation in non-cancerous MASH. We identified a unique lipid metabolic gene signature of MASH-HCC, which included genes associated with ferroptosis vulnerability. In vitro , ACSL4 upregulation was associated with increased ferroptosis sensitivity in human HCC cell lines. Lastly, single-cell RNA-sequencing revealed elevated ACSL4 expression in immune cells in a murine MASH-HCC model, suggesting a role of ACSL4 in shaping the tumor immune microenvironment. Overall, this report offers new insights into lipid metabolic landscape and ferroptosis sensitivity for novel MASH-HCC treatments. GRAPHICAL ABSTRACT

Aim Cognitive and behavioral phenomena define behavioral variant frontotemporal dementia (bvFTD), but neuropsychiatric symptoms (NPS) outside the core criteria are common throughout the illness. Identifying how NPS cluster in bvFTD may guide development of future therapies. Methods Participants ( n = 354) with sporadic and genetic bvFTD were enrolled in the ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration Consortium. Dementia stage was defined as early (CDR® plus NACC FTLD ≤1) or advanced (CDR® plus NACC FTLD ≥1). Baseline and annual follow‐up visit data were analyzed to compare NPS across stages of bvFTD. Psychiatric states were captured using the Neuropsychiatric Inventory‐Questionnaire and Clinician Judgment of Symptoms. Polychoric cluster analysis was used to describe NPS clusters. Results NPS were highly prevalent (≥90%) in early and late bvFTD. Four NPS clusters were identified based on magnitude of factor loadings: affective, disinhibited, compulsive, and psychosis. Neuropsychiatric symptoms fluctuated across visits. In the affective cluster, depression showed the least visit‐to‐visit stability. In the disinhibited cluster, elation showed the least stability. Symptoms in the psychosis and compulsive clusters (hallucinations, delusions, obsessions/compulsions, and hyperorality) were largely stable, persisting from visit‐to‐visit in more than 50% of cases. Symptoms in the affective and disinhibited cluster were associated with the highest caregiver burden, while symptoms in the obsessive cluster were associated with the most functional impairment. Conclusion NPS in bvFTD are frequent and cluster into four discrete groups. The fluctuating nature of some NPS in bvFTD suggests that they may not be reliable markers of disease progression or stage.

AbstractThe intricate role of the autonomic nervous system (ANS) in regulating cardiac physiology has long been recognized. Aberrant function of the ANS is central to the pathophysiology of cardiovascular diseases. It stands to reason, therefore, that neuroscience‐based cardiovascular therapeutics hold great promise in the treatment of cardiovascular diseases in humans. A decade after the inaugural edition, this White Paper reviews the current state of understanding of human cardiac neuroanatomy, neurophysiology and pathophysiology in specific disease conditions, autonomic testing, risk stratification, and neuromodulatory strategies to mitigate the progression of cardiovascular diseases. image

Abstract Background The mechanisms underlying metastatic latency in renal cell carcinoma (RCC) remain poorly understood. Methods This study evaluated 2 large independent cohorts for differences in tumor biology between patients who developed metastases early (≤1 year after nephrectomy) and those with late onset (&gt;3 years). Results In the discovery cohort (n = 161), late metastatic RCC was associated with clear cell histology (88.9% vs 78.7%), lower pathological stage (pT1-2; 40.3% vs 18.0%), and favorable histopathological features including low grade (40.0% vs 2.3%), less sarcomatoid (5.6% vs 21.8%), and reduced necrosis (37.7% vs 78.3%; all P &lt; .02). Late metastatic RCC tumors exhibited increased angiogenesis (63.5% vs 19.4%) and reduced inflammation (78.8% vs 50.0%; all P &lt; .02) profiles. Genomic driver analyses revealed comparable rates of PBRM1 and SETD2 loss in late and early metastatic RCC, while BAP1 loss was significantly less common in late metastatic RCC (7.5% vs 27.1%; P &lt; .02). In multivariable models, BAP1/PBRM1/SETD2 status and tumor necrosis emerged as key discriminators of late metastatic RCCs. These findings were confirmed in the second cohort (n = 307). Late metastatic RCC was enriched for fatty acid oxidation and angiogenesis pathways, supporting a less aggressive phenotype. This was further evidenced by a lower engraftment rate in murine models (0% vs 36.5%; P &lt; .001) and significantly longer overall survival from the time of metastasis (median survival doubled, P &lt; .001). Interestingly, late metastatic RCC shared genomic and phenotypic features with RCC that metastasizes to the pancreas, suggesting a common underlying biology influencing both metastatic latency and pancreatic tropism. Conclusions Overall, these findings advocate for recognition of late metastatic RCC because of its distinct biology and improved prognosis.