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Introduction: Lineage switch (LS) refers to the transformation of acute leukemia from one cell lineage to another (e.g., lymphoid (ALL) to myeloid (AML)). This rare phenomenon, distinct from treatment induced malignancy (i.e., t-AML) and mixed phenotype acute leukemia (MPAL), is increasingly being observed following cell surface antigen targeting. Given challenges in the diagnosis and treatment of LS, Project EVOLVE was developed to globally identify cases of LS following immunotherapy. Methods: A protocol and data collection form for this IRB exempt study was widely disseminated to capture deidentified LS case information across multiple centers and cancer consortia. This included collection of data from published reports of LS, with authors contacted to obtain additional information. For this analysis, LS was defined by the emergence of cell-surface markers warranting reclassification of the original leukemia as a different lineage derivation based on the immunophenotype, including cases of AML emerging alongside the original ALL. “Confirmed” LS cases included those where retention of original cytogenetic or molecular aberrations and/or the clonal immunoglobulin rearrangement patterns were verified to confirm the clonal relationship. “Suspected” LS cases included those where samples to confirm clonality marker retention could not be obtained, but the clinical presentation was consistent with LS. The term “transition” was applied when immunophenotypic shifts were transient. Cases with new cytogenetic abnormalities unrelated to the original diagnosis and compatible with t-AML were excluded. Statistical analysis was primarily descriptive. Data cut-off was July 26, 2023. Results: A total of 58 cases were identified, including 19 cases referenced in prior publications. Of the 58, 11 cases were excluded from this initial analysis, including: 4 cases of t-AML, 2 cases of T-ALL to AML, and 5 “transition” cases. Collectively, 47 cases of LS (43 “confirmed”; 4 “suspected”), spanning across 3 continents and 8 countries, were analyzed. (Fig. 1A) Cases included transition from B-ALL to AML in 36 (76.6%) and to MPAL/biphenotypic/ambiguous lineage in 11 (23.4%). Two likely had MPAL at diagnosis and a third with chronic myeloid leukemia. The median age at initial diagnosis was 8.4 years (range, 1 day-76.5 years); median age at LS presentation was 11.0 years (range 0.4-77.3 years). Twenty-three (48.9%) were male and 19 (40.4%) had prior stem cell transplant (SCT). Baseline cytogenetics showed KMT2A rearrangement in 27 (57.4%). Baseline myeloid antigen co-expression was seen in 22 of 23 patients with submitted data, but variation in degree of expression across patients and antigens was substantial. The most proximal immunotherapy prior to development of LS was CAR T-cells in 23 (48.9%) and blinatumomab in 24 (51.1%). The median time from the most proximal immunotherapy to development of LS was 1.6 months (range, 7 days-36.5 months). In 7 (29.2%) patients receiving blinatumomab, LS developed during the infusion. LS presented as isolated marrow relapse in 27 (57.4%), isolated CNS in 2 (4.3%), isolated non-CNS extramedullary disease in 3 (6.4%), combined relapse in 14 (29.8%) and unreported in 1. First line treatment for LS was chemotherapy induction in 31 (66.0%), palliative care/no therapy in 8 (17.0%), and alternative therapies in the remaining 8 (17.0%). In 35 (74.5%) patients, remission induction was the goal of first line therapy. Fifteen (31.9%) achieved a complete remission (CR) of whom 2 were treated with palliative intent. Across all patients, 8 (17.0%) are alive in remission, the longest being 4.7 years from LS diagnosis; 2 (4.3%) are alive with active LS and 37 (78.7%) died from LS, their original disease, or complications of treatment of LS (Fig 1B). For those alive in CR (n=8), 7 (87.5%) proceeded to a consolidative SCT for treatment of LS and 1 patient, an octogenarian remains in remission after AML directed therapy. Conclusions: LS is emerging as an important mechanism of immune escape following immunotherapy. Project EVOLVE provides the largest dataset of patients with LS to date. This systematic, international effort reveals substantial complexity and variability in diagnosing and managing LS. Unfortunately, outcomes following LS are grim, underscoring the critical need to identify risk factors of and optimal therapies for this leukemia transformation.

Single-molecule immunoassay is a reliable technique for the detection and quantification of low-abundance blood biomarkers, which are essential for early disease diagnosis and biomedical research. However, current single-molecule methods all require signal amplification via labelling, which brings a variety of unwanted consequences, such as matrix effects and autofluorescence interference. Here, we introduce a real-time mass imaging-based label-free single-molecule immunoassay (LFSM-immunoassay). Featuring plasmonic scattering microscopy-based real-time mass imaging, a 2-step sandwich assay format-enabled background reduction, and minimization of matrix effects by dynamic tracking of single binding events, the LFSM-immunoassay enables ultra-sensitive and direct protein detection at the single-molecule level in neat blood sample matrices. We demonstrated that the LFSM-immunoassay can measure sub-femtomolar levels of interleukin-6 and prostate-specific antigen in whole blood with 8 log dynamic range. To show its translational potential to clinical settings, we measured NT-proBNP (N-terminal pro-brain natriuretic peptide) in 28 patient serum samples using a 20 minute LFSM-immunoassay, and the results show a strong linear correlation (r > 0.99) with clinical lab reported values.

AbstractPurposeRobust implementation of spiral imaging requires efficient deblurring. A deblurring method was previously proposed to separate and deblur water and fat simultaneously, based on image‐space kernel operations. The goal of this work is to improve the performance of the previous deblurring method using kernels with better properties.MethodsFour types of kernels were formed using different models for the region outside the collected k‐space as well as low‐pass preconditioning (LP). The performances of the kernels were tested and compared with both phantom and volunteer data. Data were also synthesized to evaluate the SNR.ResultsThe proposed “square” kernels are much more compact than the previously used circular kernels. Square kernels have better properties in terms of normalized RMS error, structural similarity index measure, and SNR. The square kernels created by LP demonstrated the best performance of artifact mitigation on phantom data.ConclusionsThe sizes of the blurring kernels and thus the computational cost can be reduced by the proposed square kernels instead of the previous circular ones. Using LP may further enhance the performance.

The A‐splice variant of Na + ‐dependent, electrogenic bicarbonate transporter‐1 (SLC4A4, NBCe1‐A) is generally believed to be the only SLC4A4 isoform expressed in the mammalian proximal tubule, and to have critical roles in filtered bicarbonate reabsorption, proximal tubule ammonia metabolism and proximal tubule organic anion metabolism. The purpose of the current study was to examine expression of other splice variants in the mouse kidney. We used recently generated mice with TALEN‐generated deletion of A and D NBCe1 splice‐variants, but with intact expression of the B, C and E isoforms. RT‐PCR using primers specific to the B, C and E isoforms showed mRNA of non‐A,D splice variants was expressed in the kidney of mice with intact NBCe1‐A expression and with NBCe1‐A‐specific deletion. We then used an antibody that recognizes portions of NBCe1 present in all splice isoforms and examined immunolabel in the kidney of NBCe1‐A‐deletion mice. There was basolateral immunolabel in the proximal convoluted tubule in the cortex, and lesser intensity basolateral immunolabel in the proximal tubule straight tubule in both the cortex and outer medulla. Specificity of this antibody was demonstrated by identifying that mice with deletion of all splice variants had no detectable immunolabel. An antibody specific to the A‐splice variant showed basolateral immunolabel throughout the entire proximal tubule of mice with intact NBCe1‐A expression, but no detectable immunolabel in mice with NBCe1‐A‐specific deletion. Thus, an NBCe1 splice variant other than NBCe1‐A appears to be expressed in the mouse proximal tubule. In acid‐loaded NBCe1‐A‐deletion mice, immunolabel observed using the pan‐specific anti‐NBCe1 antibody showed increased immunolabel in the proximal straight tubule, particularly in the outer medulla. These studies show that splice variants of NBCe1 other than NBCe1‐A/D are present in the mouse kidney and that their expression appears to be increased with acid‐loading. We conclude that these splice variants may have important roles in proximal tubule filtered bicarbonate reabsorption, ammonia metabolism and organic anion metabolism. Support or Funding Information The studies were supported by funds from the NIH (R01–DK045788 to IDW, R01‐DK107798 to IDW and JWV, and R01‐EY017732 to MFR) and the Department of Veterans Affairs (1I01BX000818 to IDW).

Abstract Background To evaluate the long-term clinical performance, the impact of procedural configurations and post-procedure medications in atrial fibrillation patients with percutaneous left atrial appendage occlusion (LAAO). Methods The RECORD study was a prospective, all-comers registry conducted in 39 Chinese centers that consecutively enrolling patients who received LAAO between 1st April 2019 and 31st October 2020 with minimum inclusion and exclusion criteria. Events including any death, any stroke, systemic embolism and bleeding event were collected at 1 year and adjudicated by an independent clinical event committee. Cox proportional hazard models with multivariable adjustments were applied to estimate hazard ratios (HRs) for each outcome. Results Of the 3,096 participants, 3,082 successfully received an LAAO implant and 3,013 (97.8%) completed the 1-year follow-up. Participants had a high risk of stroke (mean CHA2DS2-VASc score of 4.0) and a moderate-to-high risk of bleeding (mean HAS-BLED score of 2.4). Local anesthetic was performed in 1,287 (41.6%) patients and fluoroscopy guidance in 492 (16.0%) patients. In 1295 (42.0%) cases, one-stage combination procedures of LAAO and radiofrequency ablation or cryoablation (CA) were performed. At 1 year, the composite ischemic endpoint of death, stroke, and systemic embolism occurred in 133 (4.51%) patients. Any life-threatening, disabling or major bleeding events occurred in 71 (2.36%) patients. There was no significant association between the type of anesthesia (general versus local), modality of image guidance (TEE, ICE, or fluoroscopy) with the ischemic or bleeding events. Combination procedures of LAAO plus CA was associated with a significantly lower rate of death, stroke, or systemic embolism than performing LAAO only (3.5% versus 5.2%, HRadjusted:0.69, 95%CI:0.48-0.98, P=0.041). The commonest antithrombotic strategy was OAC | APT | APT (38.1%; corresponded to medication prescribed at discharge | 45 days | 6 months), followed by OAC | OAC | APT (27.0%). Compared with OAC | APT | APT, the OAC | OAC | APT group was associated with a higher risk of life-threatening, disabling or major bleeding (1.2% versus 2.5%, HRadjusted:0.50, 95%CI: 0.25-0.99, P=0.47); whereas the risk of death, stroke and SE was numerically similar (2.9% versus 3.0%, HRadjusted:1.05, 95%CI: 0.61-1.78, P=0.867). There was no significant difference between OAC | APT | APT and OAC+APT | APT | APT groups regarding ischemic events; however, in patients with HAS-BLED ≥ 3, OAC | APT | APT was associated with lower rates of life-threatening, disabling or major bleeding events (1.1% versus 4.8%, HRadjusted:4.55, 95%CI: 1.31-15.81, P=0.017). Conclusion In Chinese centers, patients with a WATCHMAN LAAO device had low rates of ischemic and bleeding events at 1 year. One-stage combination procedures of LAAO and catheter ablation was associated with a significantly lower rate of ischemic events than performing LAAO only.Procedural configurations to outcomesPost-LAAO antithrombotic medications

Aortic valve stenosis (AS) is increasing in prevalence due to the aging population, and severe AS is associated with significant morbidity and mortality. Echocardiography remains the mainstay for the initial detection and diagnosis of AS, as well as for grading of severity. However, there are important subgroups of patients, for example, patients with low-flow low-gradient or paradoxical low-gradient AS, where quantification of severity of AS is challenging by echocardiography and underestimation of severity may delay appropriate management and impart a worse prognosis. Aortic valve calcium score by computed tomography has emerged as a useful clinical diagnostic test that is complimentary to echocardiography, particularly in cases where there may be conflicting data or clinical uncertainty about the degree of AS. In these situations, aortic valve calcium scoring may help re-stratify grading of severity and, therefore, further direct clinical management. This review presents the evolution of aortic valve calcium score by computed tomography, its diagnostic and prognostic value, as well as its utility in clinical care.

Abstract Introduction Lipoprotein(a) [Lp(a)] is associated with an increased incidence of aortic stenosis. Bioprosthetic aortic valve degeneration and native aortic stenosis share similar pathological mechanisms. Evidence regarding the role of serum Lp(a) concentrations in bioprosthetic aortic valve degeneration is lacking. Purpose To evaluate the association between serum Lp(a) concentrations and bioprosthetic aortic valve degeneration. Methods In this retrospective multicenter study, consecutive patients who underwent a bioprosthetic aortic valve replacement between Jan-2010 and Dec-2020 and had a preoperatory serum Lp(a) measurement were included. A baseline transthoracic echocardiography (TTE) was performed following the aortic valve replacement and a follow-up TTE was performed at least 24 months after the baseline study to determine the presence of bioprosthetic valve degeneration. Significant degeneration was defined as: (a) an increase >10 mmHg in mean bioprosthetic aortic valve gradient from baseline status + a decrease in effective orifice area + a decrease in Doppler velocity index + exclusion of clinically thrombotic leaflet thickening, OR (b) new moderate or severe prosthetic aortic regurgitation (if the main component was periprosthetic, then it was not considered). Lp(a) concentrations were compared between patients with and without degeneration and regression analysis was conducted to investigate the association between bioprosthetic valve degeneration and Lp(a) levels. Results In total, 211 cases were included (mean age 74.1 ±9.4 years, 72.0% males, 29.9% transcatheter aortic valve replacements) (Figure 1). Median time between baseline and follow-up TTE was 5.0 (IQR 3.7) years. Bioprostheses degeneration was observed in 33 (15.6%) patients at follow-up. Median serum levels of Lp(a) were significantly higher in the patients affected by degeneration versus non-affected cases (50.0 vs 15.7 mg/dl, p=0.003). In the regression analysis, high Lp(a) levels (≥30 mg/dl) were associated with degeneration both in a univariate analysis (OR 4.8, 95%CI 2.2-10.9, p<0.001) and multivariate analysis adjusted by other risk factors for bioprostheses degeneration (age, sex, hypertension, smoking, patient prosthesis mismatch, creatinine levels, and body surface area) (OR 5.2, 95%CI 2.1-12.8, p<0.001). Conclusion Serum Lp(a) concentrations seem to be a risk factor for bioprosthetic aortic valve degeneration (Figure 2). There is an increasing need to accurately predict bioprosthetic aortic valve degeneration and to develop novel methods and treatments to increase their durability. Prospective studies are needed to confirm these findings and to investigate whether lowering Lp(a) could slow bioprostheses degradation.Population characteristicsLp(a) and bioprostheses degeneration

Chest radiography (CXR) is the most frequently performed radiological test worldwide because of its wide availability, non-invasive nature, and low cost. The ability of CXR to diagnose cardiovascular diseases, give insight into cardiac function, and predict cardiovascular events is often underutilized, not clearly understood, and affected by inter- and intra-observer variability. Therefore, more sophisticated tests are generally needed to assess cardiovascular diseases. Considering the sustained increase in the incidence of cardiovascular diseases, it is critical to find accessible, fast, and reproducible tests to help diagnose these frequent conditions. The expanded focus on the application of artificial intelligence (AI) with respect to diagnostic cardiovascular imaging has also been applied to CXR, with several publications suggesting that AI models can be trained to detect cardiovascular conditions by identifying features in the CXR. Multiple models have been developed to predict mortality, cardiovascular morphology and function, coronary artery disease, valvular heart diseases, aortic diseases, arrhythmias, pulmonary hypertension, and heart failure. The available evidence demonstrates that the use of AI-based tools applied to CXR for the diagnosis of cardiovascular conditions and prognostication has the potential to transform clinical care. AI-analyzed CXRs could be utilized in the future as a complimentary, easy-to-apply technology to improve diagnosis and risk stratification for cardiovascular diseases. Such advances will likely help better target more advanced investigations, which may reduce the burden of testing in some cases, as well as better identify higher-risk patients who would benefit from earlier, dedicated, and comprehensive cardiovascular evaluation.

Despite the increasing rate of detection of incidental pancreatic cystic lesions (PCLs), current standard-of-care methods for their diagnosis and risk stratification remain inadequate. Intraductal papillary mucinous neoplasms (IPMNs) are the most prevalent PCLs. The existing modalities, including endoscopic ultrasound and cyst fluid analysis, only achieve accuracy rates of 65–75% in identifying carcinoma or high-grade dysplasia in IPMNs. Furthermore, surgical resection of PCLs reveals that up to half exhibit only low-grade dysplastic changes or benign neoplasms. To reduce unnecessary and high-risk pancreatic surgeries, more precise diagnostic techniques are necessary. A promising approach involves integrating existing data, such as clinical features, cyst morphology, and data from cyst fluid analysis, with confocal endomicroscopy and radiomics to enhance the prediction of advanced neoplasms in PCLs. Artificial intelligence and machine learning modalities can play a crucial role in achieving this goal. In this review, we explore current and future techniques to leverage these advanced technologies to improve diagnostic accuracy in the context of PCLs.