Citations

Abstract Background Ischemic mitral regurgitation (IMR) is a common complication of coronary artery disease (CAD), often occurring after myocardial infarction (MI). Even when moderate in severity, IMR is associated with adverse outcomes, including a twofold increase in mortality rates. Aim To assess the functional correlates of resting IMR during stress echocardiography (SE) in patients with CAD. Methods This prospective multicenter study included 192 patients with CAD (143 males; mean age 65 ± 10 years) from eight cardiology institutions. Exclusion criteria included a history of coronary artery bypass surgery, more than moderate IMR, and other significant valvular diseases. Patients were divided into two groups based on semiquantitative- quantitative assessment at rest based on EACVI-ASE criteria: Group 1: Patients with moderate IMR, Group 2: Patients without IMR or with trivial IMR. All patients underwent stress echocardiography (SE) using the ABCE protocol. Patients underwent exercise tests, if execise echocardiography was not possible, dobutamine stress tests were performed. At rest and peak SE, we assessed: Left atrial volume index (LAVi), Left ventricular end-diastolic (LV EDV) and end-systolic volumes (LV ESV), ejection fraction (EF), wall motion score index (WMSI), global longitudinal strain (GLS), B-lines (4-site simplified scan), tricuspid annular plane systolic excursion (TAPSE), systolic pulmonary artery pressure (SPAP), LV contractile reserve (LVCR) and heart rate reserve (HRR). Results Despite similar EF at rest, Group 1 patients showed more pronounced functional impairment at rest, which increased during stress. Stress-induced functional worsening affected indices of MR (more frequently becoming severe), ischemic burden (WMSI), diastolic function (LAVI and LVEDV dilation), LV systolic function (LVCR), pulmonary congestion (B-lines), cardiac sympathetic reserve (reduced HRR) and right ventricular/pulmonary artery coupling (reduced TAPSE/SPAP): table 1. Conclusion Compared to CAD patients with absent-to-trivial resting IMR, patients with moderate IMR at rest show a constellation of functional vulnerabilities during SE involving more frequent exercise-induced worsening of MR, blunted LV diastolic and systolic reserve, more pulmonary congestion, impaired cardiac autonomic reserve, and worse right ventricular-pulmonary artery coupling. The individual patient's functional response heterogeneity can be identified with comprehensive exercise SE, possibly a roadmap to personalized and targeted therapeutic interventions.

Abstract Background The presence of the significant left ventricular outflow tract gradient (LVOTG) changes clinical symptoms, prognosis and treatment in hypertrophic cardiomyopathy enabling the classification into its obstructive (HOCM) and non-obstructive form (non-HOCM). However, the more detailed functional characteristics and comparison of these forms remains poorly known. Purpose To compare the demographic, clinical and echocardiographic features between non-HOCM (defined as LVOTG < 30 mmHg) and HOCM patients enrolled into multi-centred study in years 1996-2024 as well as to analyse their long –term prognosis in relation to registered LVOTG. Methods We enrolled 1533 HCM patients (age 51 ± 15 years, 965 males, 63%) with ejection fraction (EF) ≥50%, referred for rest transthoracic echocardiography (TTE) in 27 centers, nevertheless quantitative assessment of LVOTG was available in 1252 patients. Survival analysis was performed in a subset of 1200 patients with follow-up information. Beyond standard TTE, the number of B-lines, the maximal diastolic velocity of coronary flow in left anterior descending artery (LAD) as well as left ventricular force defined as the ratio of systolic blood pressure plus LVOTG divided by left ventricular end-systolic volume was assessed with specification of hypercontractile phenotype (HP) as the highest force quartile. Additionally age and sex matched control group was included. Results Compared to non-HOCM patients, HOCM showed a bit higher body mass index (27 ± 4 vs 26 ± 4 kg/m2, p = 0.001), were often burdened with diabetes and hypertension, presented more advanced NYHA class and higher risk of SCD, see Table. In the echocardiographic assessment HOCM presented lower end-systolic left ventricular volume (LV ESV: 27 ± 14 vs 29 ± 13 ml, p = 0.014) although maintained equal stroke volume and even higher ejection fraction (EF: 69 ± 8% vs 67 ± 7%, p < 0.001), cardiac output (CO: 4.3 ± 1.7 vs 4.0 ± 1.4 l/min, p < 0.001) and force in comparison to counterparts without LVOTG. This high-contractility performance was however sustained at the cost of larger left atrium volume index (LAVI: 49 ± 19 vs 40 ± 15 ml/m2, p < 0.001), higher coronary flow velocity (43 ± 12 vs 27 ± 13 cm/s, p < 0.001) as well as more frequent B-lines in the lung assessment. During a median follow-up of 87 months (interquartile range 45 – 143 months), 131 all-cause deaths occurred and not only patients with HOCM but also those with HP showed the worse long-term survival, see Figure. Conclusion HOCM remains the form of HCM burdened with more overt clinical symptoms, signs and prognosis. On the other hand LVOTG seems to be important but not always necessary element of this presentation, which seems to be related even more tightly to general hypercontractility phenotype reflected by higher force and resting coronary flow.Table.Non-HOCM vs HOCM comparison Figure.Force and LVOTG prognostic value

Abstract Background Prostate cancer is a heterogeneous disease comprising diverse cell types within the tumor microenvironment that support cancer cell survival. Using single cell and spatial transcriptomics, we previously identified subpopulations of treatment-persistent cancer cells exhibiting regenerative properties and a distinct molecular signature. Herein, we aimed to characterize the locked ‘Persist’ signature (PS) and its association with outcomes in a large cohort of non-metastatic prostate cancer tumors. Methods Patients with non-metastatic prostate cancer that underwent Decipher prostate genomic classifier and whole-transcriptome profiling on biopsy (BX, n=146,941) and radical prostatectomy (RP, n=55,329) specimens between October 2016 and February 2024 were included (Veracyte Inc., San Diego, CA, USA). Baseline clinical and pathological data from deidentified patients as well as signature scores were retrieved from the Decipher Genomic Resource for Intelligent Discovery (GRID) registry (Clinical Trials identifier: NCT02609269). The PS score based on the expression of 17 genes was calculated for all samples. Results PS was significantly associated with adverse clinical and pathological variables. In biopsy sample, PS was higher in cases with worse T3/4 clinical stage, Grade group (GG4-5), and high/very high NCCN risk (p<0.001 for all). In RP sample, PS was significantly higher in patients with GG4-5, extraprostatic extension, seminal vesicle invasion and lymph node involvement (p<0.001 for all). PS was also higher in patients with very high Decipher (>0.85) in both BX and RP (p<0.001 for both). When evaluating the prognosis of PS in multiple retrospective cohorts, PS in biopsy was prognostic of adverse pathology features at RP. PS was also prognostic of distance metastasis (DM) in multiple RP cohorts with long-term follow up (META855). In the ARNEO trial testing apalutamide in addition to ADT as neo-adjuvant treatment prior RP, PS was prognostic of early recurrence. In the Stampede trial, PS was prognostic of progression free survival, PCSM and OS in both non-metastatic and metastatic disease. When associating PS with other GRID signatures, PS was higher in samples with homologous recombination deficiency, TP53 mutations, Luminal B and luminal proliferating subtypes. On the other hand, PS was lower in samples with low androgen receptor-activity, RB-loss and neuroendocrine-like tumors. Finally, PS was positively correlated with radiation sensitivity signatures. Conclusions Persist is a novel molecular signature associated with more aggressive tumor characteristics. Future studies aim to further examine beyond this signature potential to identify patients at risk of aggressive prostate cancer, and understand what the optimal treatments for those with treatment-persistent prostate cancer cells are. Citation Format: Francesco Ballesio, Sinja Taavitsainen, Mohammed Alshalalfa, Antti Kiviaho, Mazlina Ismail, Reetta Nätkin, Alexander Giesen, Thomas Munro, James A. Proudfoot, Hyunnam Ryu, Elai Davicioni, Matthew C. Cooperberg, R. Jeffrey. Karnes, Ruochen Jiang, Steven Joniau, Gerhardt Attard, Frank Claessens, Matti Nykter, Alfonso Urbanucci. Persist: a molecular signature for prostate cancer patients with preexisting treatment-persistent cells associated with aggressive disease [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl):Abstract nr B079.

Abstract Background Ten years after the original publication, the Centiloid framework is now broadly used to harmonize amyloid‐PET quantification, facilitate data sharing and comparison across cohorts, and even assist visual interpretation in clinical settings. We evaluated the global implementation of Centiloids by comparing their distribution and corresponding positivity thresholds across cohorts. Methods We gathered data from publicly available cohorts and reached out to investigators across the world to collect cross‐sectional Centiloids, demographic and clinical information, and visual read data. Gaussian mixture models (GMM, k=2) were fitted to Centiloid values for each cohort and cutoffs were calculated as mean + 2SD of the lower Gaussian. When visual reads were available, we determined Centiloid cutoffs that maximized correspondence with visual reads (Cohen's kappa). Data was combined across cohorts using random effects meta‐analyses. Results As of January 2025, we included 37 cohorts ( n = 41,678 participants) with heterogeneous pipelines, radiotracers, and clinical and demographic characteristics (Table‐1). The low Gaussian peaks ranged from ‐9 to 10CL; the meta‐analysis identified a common peak at 1CL. The second peaks were more heterogeneous (range=38‐102CL; meta‐analysis outcome=64CL). Across cohorts, the proportion of cognitively unimpaired versus impaired participants impacted the position of both peaks, with better separation in cohorts enriched in impaired individuals (Figure 1C). The meta‐analysis indicated a GMM‐based cutoff of 19CL (95%CI: 16‐21CL, Figure 1B); subgroup analyses showed no evidence of significant effect between single versus multicenter settings (17 versus 20CL, p = 0.30), MRI‐based or PET‐only processing (18 versus 19CL, p = 0.88), and no evidence of difference across radiotracers (Flutemetamol: 16CL; PIB: 17CL, Flutafuranol: 18CL, Florbetaben: 19CL, Florbetapir: 20CL, p = 0.78). In a subset of 29,496 participants with visual reads available, binary visual reads corresponded well to Centiloids (common kappa=0.86, Figure 2A). The visual read‐based cutoff of 24CL (95%CI: 21‐27CL, Figure 2B) maximized correspondence between visual read and quantification and was slightly higher than the GMM‐based cutoff. All meta‐analysis models showed high non‐random heterogeneity (I 2 >80%) across studies, suggesting non‐random differences in peaks and cutoffs. Conclusions Meta‐analysis‐based cutoffs align well with thresholds from the existing literature. High heterogeneity among studies underscores the need to investigate contributing factors, raising concerns about applying common cutoffs.

Key Points Experimental autosomal dominant polycystic kidney disease is associated with longitudinal changes in the kidney micro-RNA and mRNA profiles. Alterations in cellular transport, a feature of CKD, and a common biological process within polycystic kidney disease models and human autosomal dominant polycystic kidney disease, is present from early stages. Early versus late micro-RNA expression changes in autosomal dominant polycystic kidney disease could be targeted for a more tailored therapeutic intervention in the disease. Background Autosomal dominant polycystic kidney disease (ADPKD) is characterized by the progressive development and enlargement of bilateral kidney cysts, which often leads to kidney failure. This study comprehensively characterized the expression profile of micro-RNAs (miRNAs) and their target genes in Pkd1 RC/RC mice and further compared them with other murine models of polycystic kidney disease (PKD) and a model of CKD and individuals with ADPKD. Methods Pkd1 RC/RC and wild-type (WT) mice ( n =10 each, five males and five females) were studied at 1, 6, and 12 months. At each time point, kidney volume was determined in vivo (magnetic resonance imaging), followed by ex vivo histomorphometric analyses. In randomly selected Pkd1 RC/RC and WT mouse kidneys ( n =5/genotype, at 1 and 12 months), miRNA-sequencing (seq) was performed, followed by mRNA-seq, integrated (miRNA-seq/mRNA-seq analysis), and functional analysis of miRNA target genes. Venn diagrams were constructed to identify overlapping and novel differentially expressed (DE) miRNAs in Pkd1 RC/RC and other commonly used murine models of PKD, diabetic kidney disease, and individuals with ADPKD. Results miRNA-seq analysis identified 41 and 181 miRNAs DE in Pkd1 RC/RC versus WT kidneys at 1 and 12 months, respectively, which were confirmed by quantitative PCR. Target genes of miRNAs DE in Pkd1 RC/RC at early stages encoded for proteins mainly implicated in cell proliferation and α -ketoglutarate ( α -KG) transport, whereas those DE at late stages encoded for transport proteins involved in proinflammatory and metabolic processes. Urine α -KG concentration ( 1 H nuclear magnetic resonance spectroscopy), its fractional excretion, and tissue levels were higher in Pkd1 RC/RC during the entire course of the disease and associated with decreased protein expression of α -KG transporters sodium-coupled dicarboxylate transporter 3 and organic anion transporter 1. We further identified common DE miRNAs among murine models of PKD, diabetic kidney disease, and previous reports in individuals with ADPKD, as well as several novel miRNAs DE in early and late Pkd1 RC/RC kidneys, which have not been previously reported in either other murine models of PKD or patients with ADPKD. Conclusions Our study demonstrates that the renal miRNA expression profile changes longitudinally with the progression of the disease and might suggest that the post-transcriptional regulation of α -KG transport could represent a novel early feature of the disease.

Abstract Background Ten years after the original publication, the Centiloid framework is now broadly used to harmonize amyloid‐PET quantification, facilitate data sharing and comparison across cohorts, and even assist visual interpretation in clinical settings. We evaluated the global implementation of Centiloids by comparing their distribution and corresponding positivity thresholds across cohorts. Methods We gathered data from publicly available cohorts and reached out to investigators across the world to collect cross‐sectional Centiloids, demographic and clinical information, and visual read data. Gaussian mixture models (GMM, k=2) were fitted to Centiloid values for each cohort and cutoffs were calculated as mean + 2SD of the lower Gaussian. When visual reads were available, we determined Centiloid cutoffs that maximized correspondence with visual reads (Cohen’s kappa). Data was combined across cohorts using random effects meta‐analyses. Results As of January 2025, we included 37 cohorts ( n = 41,678 participants) with heterogeneous pipelines, radiotracers, and clinical and demographic characteristics (Table‐1). The low Gaussian peaks ranged from ‐9 to 10CL; the meta‐analysis identified a common peak at 1CL. The second peaks were more heterogeneous (range=38‐102CL; meta‐analysis outcome=64CL). Across cohorts, the proportion of cognitively unimpaired versus impaired participants impacted the position of both peaks, with better separation in cohorts enriched in impaired individuals (Figure‐1C). The meta‐analysis indicated a GMM‐based cutoff of 19CL (95%CI: 16‐21CL, Figure‐1B); subgroup analyses showed no evidence of significant effect between single versus multicenter settings (17 versus 20CL, p = 0.30), MRI‐based or PET‐only processing (18 versus 19CL, p = 0.88), and no evidence of difference across radiotracers (Flutemetamol: 16CL; PIB: 17CL, Flutafuranol: 18CL, Florbetaben: 19CL, Florbetapir: 20CL, p = 0.78). In a subset of 29,496 participants with visual reads available, binary visual reads corresponded well to Centiloids (common kappa=0.86, Figure‐2A). The visual read‐based cutoff of 24CL (95%CI: 21‐27CL, Figure‐2B) maximized correspondence between visual read and quantification and was slightly higher than the GMM‐based cutoff. All meta‐analysis models showed high non‐random heterogeneity (I 2 >80%) across studies, suggesting non‐random differences in peaks and cutoffs. Conclusions Meta‐analysis‐based cutoffs align well with thresholds from the existing literature. High heterogeneity among studies underscores the need to investigate contributing factors, raising concerns about applying common cutoffs.

Key Points The kidney microvasculature was quantified reliably in human autosomal dominant polycystic kidney disease early on, using super-resolution ultrasound localization microscopy. Microvascular parameters correlated with structural and functional indices, constituting promising biomarkers to evaluate noncystic parenchyma. Microvascular parameters may serve to assess disease severity and monitor progression from the early stages of the disease. Background In vitro studies in individuals with autosomal dominant polycystic kidney disease (ADPKD) have shown extensive intrarenal microvascular remodeling. However, analyses have been limited to the time of kidney failure because of the invasive nature of current methodologies to assess the intrarenal microvasculature. We hypothesized that super-resolution ultrasound microvascular imaging, known as ultrasound localization microscopy, enabled by high-framerate ultrasound imaging and microbubble localization and tracking postprocessing techniques, would safely, reliably, and reproducibly assess the intrarenal microvasculature in individuals with ADPKD at an early stage of the disease. Methods We prospectively enrolled young (<40 years of age), well-characterized, early-stage (eGFR >90 ml/min per 1.73 m 2 ) individuals with ADPKD, and sex–age 1:1 matched controls ( n =17 each) and assessed the intrarenal microvasculature using ultrasound localization microscopy. We determined the intersonographer reliability, intraobserver repeatability, and interobserver reproducibility of microvascular parameters in both groups, and the day-to-day variability in the control group. Microvascular parameters were correlated with structural (total kidney volume) and functional (eGFR) markers in individuals with ADPKD. Results Ultrasound localization microscopy provided a super-resolved map of the intrarenal microvasculature in ADPKD and matched controls. Intrarenal microvascular parameters ( e.g ., vessel density) were quantified in a safe, reliable (intraclass correlation coefficients, 0.96; 95% confidence interval, 0.91 to 0.98), reproducible (intraclass correlation coefficient, 0.96; 95% confidence interval, 0.93 to 0.98), and repeatable (coefficient of variations, 3.6%) manner. In control individuals, the day-to-day variability of most parameters was low, with coefficient of variation ranging from 1.8% to 10.7%. Microvascular parameters differed in individuals with ADPKD compared with controls, despite preserved eGFR. Interestingly, cortical vessel density and its derived perfusion correlated directly with eGFR, whereas tortuosity indices presented an inverse correlation. Conclusions Ultrasound localization microscopy provided a safe and reliable in vivo assessment of the human intrarenal microvasculature.