A Randomized-Controlled Trial Targeting Cognition in Early Alzheimer's Disease by Improving Sleep with Trazodone (REST).

 Alzheimer's disease (AD) is a leading cause of mortality and morbidity among aging populations worldwide. Despite arduous research efforts, treatment options for this devastating neurodegenerative disease are limited. Sleep disturbances, through their link to changes in neural excitability and impaired clearance of interstitial abnormal protein aggregates, are a key risk factor for the development of AD. Research also suggests that the neuroprotective effects of sleep are particularly active during slow wave sleep. Given the strong link between sleep disturbance and AD, targeting sleep in the prodromal stages of AD, such as in mild cognitive impairment (MCI), represents a promising avenue for slowing the onset of AD-related cognitive decline. In efforts to improve sleep in older individuals, several pharmacologic approaches have been employed, but many pose safety risks, concern for worsening cognitive function, and fail to effectively target slow wave sleep. Trazodone, a safe and widely used drug in the older adult population, has shown promise in inducing slow wave sleep in older adults, but requires more rigorous research to understand its effects on sleep and cognition in the prodromal stages of AD. In this review, we present the rationale and study design for our randomized, double-bind, placebo-controlled, crossover trial (NCT05282550) investigating the effects of trazodone on sleep and cognition in 100 older adults with amnestic MCI and sleep complaints.

Hypokalaemia in patients with type 2 diabetes and chronic kidney disease: the effect of finerenone - a FIDELITY analysis.

AIMS: Hypokalaemia is associated with cardiovascular events and mortality in patients with chronic kidney disease (CKD). This exploratory FIDELITY analysis, a prespecified pooled patient-dataset from FIDELIO-DKD and FIGARO-DKD, investigated the incidence and effect of hypokalaemia in patients with CKD and type 2 diabetes (T2D) treated with finerenone vs. placebo. METHODS: Outcomes include the incidence of treatment-emergent hypokalaemia (serum potassium < 4.0 or < 3.5 mmol/L) and the effect of finerenone on cardiovascular composite outcome (cardiovascular death, non-fatal myocardial infarction, non-fatal stroke, or hospitalization for heart failure) and arrhythmia composite outcome (new diagnosis of atrial fibrillation/atrial flutter, hospitalization due to arrhythmia, or sudden cardiac death) by baseline serum potassium subgroups. RESULTS: In the FIDELITY population, treatment-emergent hypokalaemia with serum potassium < 4.0 and < 3.5 mmol/L occurred in 41.1% and 7.5%, respectively. Hazards of cardiovascular and arrhythmia composite outcomes were higher in patients with baseline serum potassium < 4.0 vs. 4.0-4.5 mmol/L (hazard ratio [HR] 1.16; 95% confidence interval [CI] 1.02-1.32, P = 0.022 and HR 1.20; 95% CI 1.00-1.44, P = 0.055, respectively). Finerenone reduced the incidence of hypokalaemia with serum potassium < 4.0 mmol/L (HR 0.63; 95% CI 0.60-0.66) and < 3.5 mmol/L (HR 0.46; 95% CI 0.40-0.53) vs. placebo. Finerenone lessened the hazard of cardiovascular and arrhythmia events vs. placebo, irrespective of baseline serum potassium. CONCLUSION: A substantial proportion of patients with CKD and T2D experienced hypokalaemia, which was associated with an increased hazard of adverse cardiovascular outcomes. Finerenone reduced the incidence of hypokalaemia. Finerenone reduced the hazard of cardiovascular and arrhythmia outcomes irrespective of serum potassium subgroups. Clinical trials registration: FIDELIO-DKD and FIGARO-DKD are registered with ClinicalTrials.gov, numbers NCT02540993 and NCT02545049, respectively (funded by Bayer AG).

Challenges and Opportunities for Consideration of Efavirenz Drug Repurposing for Alzheimer's Disease Therapeutics.

Therapeutic research and development for Alzheimer's disease (AD) has been an area of intense research to alleviate memory loss and neurodegeneration. There is growing interest in drug repositioning and repurposing strategies for FDA-approved medications as potential candidates that may further advance AD therapeutics. The FDA drug efavirenz has been investigated as a candidate drug for repurposing as an AD medication. The proposed mechanism of action of efavirenz (at low doses) is the activation of the neuron-specific enzyme CYP46A1 that converts excess brain cholesterol into 24-hydroxycholesterol (24-HC) that is exported to the periphery. Efavirenz at a low dose was found to improve memory deficit in the 5XFAD model of AD that was accompanied by elevated 24-HC and reduction in Aß; furthermore, efavirenz reduced pTau and excess cholesterol levels in human iPSC-derived Alzheimer's neurons. The low dose of efavirenz used in the AD mouse model to increase 24-HC contrasts with the use of more than 100-fold higher doses of efavirenz for clinical treatment of human immunodeficiency virus (HIV) through inhibition of reverse transcriptase. Low doses of efavirenz may avoid neurotoxic adverse effects that occur at high efavirenz doses used for HIV treatment. This review evaluates the drug properties of efavirenz with respect to its preclinical data on regulating memory deficit, pharmacokinetics, pharmacodynamics, metabolites, and genetic variabilities in drug metabolism as well as its potential adverse effects. These analyses discuss the challenges and questions that should be addressed in future studies to consider the opportunity for low dose efavirenz as a candidate for AD drug development.

Clinical characteristics, diagnosis and short-term outcomes of COVID-19-associated acute myocarditis in China.

AIMS: Acute myocarditis (AM) has been recognized as a rare complication of coronavirus disease 2019 (COVID-19) infection. This study was conducted to present the clinical characteristics, disease courses and short-term prognoses of Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induced AM in China, which has been unavailable so far. METHODS AND RESULTS: Data from 28 patients diagnosed with definite COVID-19-associated AM from 6 hospitals in China between 1 December 2022 and 30 June 2023 were collected and analysed. The diagnosis of AM was based on increased troponin level plus typical findings of AM on cardiac magnetic resonance (CMR) imaging and/or endomyocardial biopsy. Among 28 patients with definite COVID-19-related AM, median age was 37 years (Q1-Q3: 22-52) and 53.6% were men. Twenty-three patients occurred within 2 weeks of the onset of COVID-19 infection, 10 patients underwent endomyocardial biopsy and CMR was performed in all patients. Seven (25.0%) patients developed fulminant myocarditis that required inotropic agents or temporary mechanical circulatory support. Of the nine patients (32.1%) with left ventricular ejection fraction (LVEF) below 50% on admission, five had fully recovered LVEF and two demonstrated improvement but to levels below normal at discharge. The comparison of CMR parameters between the baseline and first follow-up showed that ECV was decreased at the first follow-up [28.95 (25.38, 32.55)% vs. 33.65 (31.58, 37.55)%, P = 0.028), while other CMR parameters had no significant changes. Eighteen patients (64.3%) were prescribed with corticosteroids, and seven patients (25.0%) underwent temporary mechanical circulatory support. Only two patients died during hospitalization. CONCLUSIONS: The majority of COVID-19-associated AM occurred within 2 weeks of Omicron variant infection. Fulminant myocarditis complicated by hemodynamic instability requiring temporary mechanical circulatory support was not uncommon. However, short-term outcome was generally good and most AM patients fully recovered.

Impact of age on clinical outcomes and response to serelaxin in patients with acute heart failure: An analysis from the RELAX-AHF-2 trial.

AIMS: Acute heart failure (AHF) is a major cause of hospitalizations and death in the elderly. However, elderly patients are often underrepresented in randomized clinical trials. We analysed the impact of age on clinical outcomes and response to treatment in patients enrolled in Relaxin in Acute Heart Failure (RELAX-AHF-2), a study that included older patients than in previous AHF trials. METHODS AND RESULTS: The RELAX-AHF-2 randomized patients admitted for AHF to infusion of serelaxin or placebo. We examined the association of pre-specified clinical outcomes and treatment effect according to age categories [(years): <65 (n = 1411), 65-74 (n = 1832), 75-79 (n = 1222), 80-84 (n = 1156) and ≥85 (n = 924)]. The mean age of the 6545 patients enrolled in RELAX-AHF-2 was 73.0 ± 11 years. The risk of all-cause and cardiovascular (CV) death (all p < 0.001) as well as the composite endpoint of CV death or heart failure/renal failure rehospitalization through 180 days (p = 0.002) and hospital discharge through day 60 (p = 0.013) were all directly associated with age categories. Age remained independently associated with outcomes after adjustment for clinical confounders and the results were consistent when age was analysed continuously. No clinically significant change in treatment effects of serelaxin was observed across age categories for the pre-specified endpoints (interaction p > 0.05). CONCLUSION: Elderly patients are at higher risk of short- and long-term CV outcomes after a hospitalization for AHF. Further efforts are needed to improve CV outcomes in this population.

Analysis of the PARAGON-HF Study Results Using Win Ratio.

BACKGROUND: The PARAGON-HF study (Prospective Comparison of ARNI With ARB Global Outcomes in Heart Failure With Preserved Ejection Fraction) investigated the effect of sacubitril-valsartan in heart failure (HF) with preserved ejection fraction. The results, which were analyzed using conventional statistical methods, did not find a significant reduction in the primary composite end point of cardiovascular death and total hospitalization for HF. Recent clinical trials used win ratio statistics that enable the incorporation of multiple outcome aspects into the primary end point and can detect positive outcomes with fewer patients. In this study, we assessed the effect of sacubitril-valsartan on outcomes using the win ratio to analyze results from patients included in the PARAGON-HF study. METHODS: In the PARAGON-HF study, 4822 patients with HF with preserved ejection fraction were randomized either to sacubitril-valsartan or valsartan groups. In the present study, the primary outcome was a hierarchical composite of time to cardiovascular death, total number of hospitalization for HF, time to first hospitalization for HF, time to renal composite outcome, and change in the Kansas City Cardiomyopathy Questionnaire total symptom score at 8 months analyzed using a win ratio statistical model. RESULTS: Using this approach, we found that a greater number of patients who received sacubitril-valsartan experienced clinical benefits compared with those who received valsartan (win ratio, 1.13 [95% CI, 1.04-1.23]; P=0.005). This clinical advantage was evident in patients regardless of whether the left ventricular ejection fraction was above or below the median, that is, the left ventricular ejection fraction of 57%, and regardless of sex (Pinteraction=0.76 for the left ventricular ejection fraction and 0.73 for sex). CONCLUSIONS: Employing the innovative win ratio approach, sacubitril-valsartan demonstrated significant clinical benefits among patients with HF with preserved ejection fraction. Notably, this benefit was observed irrespective of left ventricular ejection fraction and sex. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01920711.

Determinants of Guideline-Directed Medical Therapy Implementation During Heart Failure Hospitalization.

Background: Despite evidence that guideline-directed medical therapies (GDMTs) improve outcomes in patients with heart failure (HF) with reduced ejection fraction (HFrEF), implementation remains suboptimal. Objectives: The purpose of this study was to measure GDMT implementation during acute HFrEF hospitalization, evaluate the association between socioeconomic factors and GDMT implementation, and assess the association of GDMT utilization with subsequent clinical events. Methods: Retrospective determination of GDMT utilization using a modified optimal medical therapy (mOMT) score (which accounts for specific contraindications to drugs) during unplanned HF hospitalization of consecutive adult patients with new-onset or previously diagnosed HFrEF from 2017 to 2018. Outcomes included discharge mOMT score, association between socioeconomic factors and GDMT implementation (assessed using both the Mann-Whitney U test for binary variables and the Kruskall-Wallace for nonbinary variables), composite outcome 1-year all-cause mortality and 1-year HF readmission, and each component as a function of discharge mOMT score (assessed using univariate and multivariable Cox proportional hazards regression models). Results: Of 391 patients fulfilling entry criteria (of which 152 [38.9%] had new-onset HFrEF), only 49 (12.5%) had a perfect or near-perfect discharge mOMT score. Black patients and those experiencing homelessness had significantly lower discharge mOMT scores. Higher discharge mOMT score is associated with a lower rate of composite endpoint events, particularly in patients with new-onset HFrEF. Overall, a 0.1-increase in the mOMT score resulted in a 9.2% reduction in the composite endpoint. Conclusions: Suboptimal implementation of GDMT during HF hospitalization is widespread and is associated with a worse outcome. Black patients and patients experiencing homelessness were less likely to have GDMT optimized.

The role of early-phase trials and real-world evidence in drug development.

Phase 3 randomized controlled trials (RCTs), while the gold standard for treatment efficacy and safety, are not always feasible, are expensive, can be prolonged and can be limited in generalizability. Other under-recognized sources of evidence can also help advance drug development. Basic science, proof-of-concept studies and early-phase RCTs can provide evidence regarding the potential for clinical benefit. Real-world evidence generated from registries or observational datasets can provide insights into the treatment of rare diseases that often pose a challenge for trial recruitment. Pragmatic trials embedded in healthcare systems can assess the treatment effects in clinical settings among patient populations sometimes excluded from trials. This Perspective discusses potential sources of evidence that may be used to complement explanatory phase 3 RCTs and to speed the development of new cardiovascular medications. Content is derived from the 19th Global Cardiovascular Clinical Trialists meeting (December 2022), involving clinical trialists, patients, clinicians, regulators, funders and industry representatives.

Distinct Comorbidity Clusters in Patients With Acute Heart Failure: Data From RELAX-AHF-2.

BACKGROUND: Multimorbidity frequently occurs in patients with acute heart failure (AHF). The co-occurrence of comorbidities often follows specific patterns. OBJECTIVES: This study investigated multimorbidity subtypes and their associations with clinical outcomes. METHODS: From the prospective RELAX-AHF-2 (Relaxin for the Treatment of Acute Heart Failure-2) trial, 6,545 patients (26% with HF with preserved ejection fraction, defined as LVEF ≥50%) were classified into multimorbidity groups using latent class analysis. The association between subgroups and clinical outcomes was examined. Validation of these findings was conducted in the RELAX-AHF trial, which comprised 1,161 patients. RESULTS: Five distinct multimorbidity groups emerged: 1) diabetes and chronic kidney disease (CKD) (often male, high prevalence of CKD and diabetes mellitus); 2) ischemic (ischemic HF); 3) elderly/atrial fibrillation (AF) (oldest, high prevalence of AF); 4) metabolic (obese, hypertensive, more often HF with preserved ejection fraction); and 5) young (fewest comorbidities). After adjusting for confounders, patients in the diabetes and CKD (HR: 1.80; 95% CI: 1.50-2.20), elderly/AF (HR: 1.42; 95% CI: 1.20-1.70), and metabolic (HR: 1.40; 95% CI: 1.20-1.80) groups had higher rates of the composite outcome than patients in the young group, primarily driven by differences in rehospitalization. Treatment allocation (placebo or serelaxin) modified these associations (Pinteraction <0.001). Serelaxin-treated patients in the young group were associated with a lower risk for all-cause mortality (HR: 0.59; 95% CI: 0.40-0.90). Similarly, patients from the RELAX-AHF trial clustered in 5 multimorbidity groups. The clinical characteristics and associations with outcomes could also be validated. CONCLUSIONS: Comorbidities naturally clustered into 5 mutually exclusive groups in RELAX-AHF-2, showing variations in clinical outcomes. These data emphasize that the specific combination of comorbidities can influence adverse outcomes and treatment responses in patients with AHF.

Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system.

BACKGROUND: Referral of patients with heart failure (HF) who are at high mortality risk for specialist evaluation is recommended. Yet, most tools for identifying such patients are difficult to implement in electronic health record (EHR) systems. OBJECTIVE: To assess the performance and ease of implementation of Machine learning Assessment of RisK and EaRly mortality in Heart Failure (MARKER-HF), a machine-learning model that uses structured data that is readily available in the EHR, and compare it with two commonly used risk scores: the Seattle Heart Failure Model (SHFM) and Meta-Analysis Global Group in Chronic (MAGGIC) Heart Failure Risk Score. DESIGN: Retrospective, cohort study. PARTICIPANTS: Data from 6764 adults with HF were abstracted from EHRs at a large integrated health system from 1/1/10 to 12/31/19. MAIN MEASURES: One-year survival from time of first cardiology or primary care visit was estimated using MARKER-HF, SHFM, and MAGGIC. Discrimination was measured by the area under the receiver operating curve (AUC). Calibration was assessed graphically. KEY RESULTS: Compared to MARKER-HF, both SHFM and MAGGIC required a considerably larger amount of data engineering and imputation to generate risk score estimates. MARKER-HF, SHFM, and MAGGIC exhibited similar discriminations with AUCs of 0.70 (0.69-0.73), 0.71 (0.69-0.72), and 0.71 (95% CI 0.70-0.73), respectively. All three scores showed good calibration across the full risk spectrum. CONCLUSIONS: These findings suggest that MARKER-HF, which uses readily available clinical and lab measurements in the EHR and required less imputation and data engineering than SHFM and MAGGIC, is an easier tool to identify high-risk patients in ambulatory clinics who could benefit from referral to a HF specialist.

Eligibility and Cost-Utility Analysis of Dapagliflozin in Patients with Heart Failure Across the Whole Spectrum of Ejection Fraction in South Korea.

BACKGROUND: The DAPA-HF and DELIVER trials demonstrated the clinical benefits of dapagliflozin in heart failure (HF) patients across the entire ejection fraction (EF) spectrum. However, further investigation is needed for the real-world application of dapagliflozin in HF patients. This study examines the proportion of real-world HF patients eligible for dapagliflozin and evaluates the cost-effectiveness of adding dapagliflozin to current HF therapy. METHODS: Data from the nationwide prospective registry, the Korean Acute Heart Failure (KorAHF) registry, were used to determine dapagliflozin eligibility based on the enrollment criteria of the DAPA-HF/DELIVER trials. A cost-utility analysis was conducted using a Markov model to assess the cost-effectiveness of dapagliflozin by comparing it to the standard of care. RESULTS: Out of 5178 KorAHF patients, 48.7% met the enrollment criteria of the DAPA-HF/DELIVER trials, while 89.5% met the label criteria (US Food and Drug Administration, European Medicines Agency, and Korean Ministry of Food and Drug Safety). Eligibility was highest among HF patients with preserved EF (55.3% vs. HF with mildly reduced EF and HF with reduced EF 46.4%). Dapagliflozin proved to be cost-effective, with an incremental cost-effectiveness ratio (ICER) of 4557 US dollar (US$) per quality-adjusted life year, which falls below the US$18,182 willingness-to-pay threshold. The cost-effectiveness benefit was more pronounced in patients with a left ventricular EF (LVEF) ≤ 40% (ICER US$3279 for LVEF ≤ 40% vs. US$8383 for LVEF > 40%). CONCLUSIONS: Discrepancies in dapagliflozin eligibility were observed between real-world data and clinical trial results. The addition of dapagliflozin to HF therapy proved to be highly cost-effective across the entire EF spectrum.

Real-World Eligibility and Cost-Effectiveness Analysis of Empagliflozin for Heart Failure in Korea.

BACKGROUND: The US Food and Drug Administration (FDA) and European Medicines Agency (EMA) approved empagliflozin for reducing cardiovascular mortality and heart failure (HF) hospitalization in patients with both HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF). However, limited data are available on the generalizability of empagliflozin to clinical practice. Therefore, we evaluated real-world eligibility and potential cost-effectiveness based on a nationwide prospective HF registry. METHODS: A total of 3,108 HFrEF and 2,070 HFpEF patients from the Korean Acute Heart Failure (KorAHF) registry were analyzed. Eligibility was estimated by inclusion and exclusion criteria of EMPagliflozin outcomE tRial in Patients With chrOnic heaRt Failure With Reduced Ejection Fraction (EMPEROR-Reduced) and EMPagliflozin outcomE tRial in Patients With chrOnic heaRt Failure With Preserved Ejection Fraction (EMPEROR-Preserved) trials and by FDA & EMA label criteria. The cost-utility analysis was done using a Markov model to project the lifetime medical cost and quality-adjusted life year (QALY). RESULTS: Among the KorAHF patients, 91.4% met FDA & EMA label criteria, while 44.7% met the clinical trial criteria. The incremental cost-effectiveness ratio of empagliflozin was calculated at US$6,764 per QALY in the overall population, which is far below a threshold of US$18,182 per QALY. The cost-effectiveness benefit was more evident in patients with HFrEF (US$5,012 per QALY) than HFpEF (US$8,971 per QALY). CONCLUSION: There is a large discrepancy in real-world eligibility for empagliflozin between FDA & EMA labels and clinical trial criteria. Empagliflozin is cost-effective in HF patients regardless of ejection fraction in South Korea health care setting. The efficacy and safety of empagliflozin in real-world HF patients should be further investigated for a broader range of clinical applications. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01389843.

Incidence of Acute Rejection Compared With Endomyocardial Biopsy Complications for Heart Transplant Patients in the Contemporary Era.

BACKGROUND: The reference standard of detecting acute rejection (AR) in adult heart transplant (HTx) patients is an endomyocardial biopsy (EMB). The majority of EMBs are performed in asymptomatic patients. However, the incidence of treated AR compared with EMB complications has not been compared in the contemporary era (2010-current). METHODS: The authors retrospectively analyzed 2769 EMBs obtained in 326 consecutive HTx patients between August 2019 and August 2022. Variables included surveillance versus for-cause indication, recipient and donor characteristics, EMB procedural data and pathological grades, treatment for AR, and clinical outcomes. RESULTS: The overall EMB complications rate was 1.6%. EMBs performed within 1 mo after HTx compared with after 1 mo from HTx showed significantly increased complications (OR, 12.74, P < 0.001). The treated AR rate was 14.2% in the for-cause EMBs and 1.2% in the surveillance EMBs. We found the incidence of AR versus EMB complications was significantly lower in the surveillance compared with the for-cause EMB group (OR, 0.05, P < 0.001). We also found the incidence of EMB complications was higher than treated AR in surveillance EMBs. CONCLUSIONS: The yield of surveillance EMBs has declined in the contemporary era, with a higher incidence of EMB complications compared with detected AR. The risk of EMB complications was highest within 1 mo after HTx. Surveillance EMB protocols in the contemporary era may need to be reevaluated.

High Risk of Stroke in Patients With Worsening Heart Failure, Reduced Ejection Fraction, Coronary Heart Disease and Sinus Rhythm: Risk Prediction Score Analysis From the COMMANDER-HF Trial.

BACKGROUND: Patients with heart failure with reduced ejection fraction (HFrEF) and sinus rhythm have a heightened risk of stroke. Whether anticoagulation benefits these patients is uncertain. In this post hoc analysis of the A Study to Assess the Effectiveness and Safety of Rivaroxaban in Reducing the Risk of Death, Myocardial Infarction, or Stroke in Participants with Heart Failure and Coronary Artery Disease Following an Episode of Decompensated Heart Failure (COMMANDER-HF) trial we evaluated how a previously validated risk model consisting of 3 variables (history of prior stroke, insulin-treated diabetes, and N-terminal pro-B-type natriuretic peptide level) would perform, compared with plasma d-dimer, for stroke prediction and estimation of the benefit of low-dose rivaroxaban. METHODS AND RESULTS: Stroke risk and treatment effect were computed across risk score and plasma d-dimer tertiles. Risk score was available in 58% of the COMMANDER-HF population (n = 2928). Over a median follow-up of 512 days (range 342-747 days), 60 patients experienced a stroke (14.6 per 1000 patient-years). The risk model did not identify patients at higher risk of stroke and showed a low overall prognostic performance (C-index = 0.53). The effect of rivaroxaban on stroke was homogeneous across risk score tertiles (P-interaction = .67). Among patients in whom the risk score was estimated, d-dimer was available in 2343 (80%). d-dimer had an acceptable discrimination performance for stroke prediction (C-index = 0.66) and higher plasma d-dimer concentrations were associated with higher rates of stroke (ie, tertile 3 vs tertile 1, hazard ratio 3.65, 95% confidence interval 1.59-8.39, P = .002). Treatment with low-dose rivaroxaban reduced the incidence of stroke in patients at highest risk by d-dimer levels (ie, >515 ng/mL, hazard ratio 0.42, 95% confidence interval 0.18-0.95, P-interaction = .074), without any safety concerns. CONCLUSIONS: In our analysis, plasma d-dimer concentrations performed better than a previously described 3-variable risk score for stroke prediction in patients with heart failure with reduced ejection fraction, a recent clinical worsening and sinus rhythm as enrolled in the COMMANDER-HF trial. In these patients, a raised plasma d-dimer concentration identified patients who might benefit most from rivaroxaban.

International Consensus on Differential Diagnosis and Management of Patients With Danon Disease: JACC State-of-the-Art Review.

Danon disease is a rare X-linked autophagic vacuolar cardioskeletal myopathy associated with severe heart failure that can be accompanied with extracardiac neurologic, skeletal, and ophthalmologic manifestations. It is caused by loss of function variants in the LAMP2 gene and is among the most severe and penetrant of the genetic cardiomyopathies. Most patients with Danon disease will experience symptomatic heart failure. Male individuals generally present earlier than women and die of either heart failure or arrhythmia or receive a heart transplant by the third decade of life. Herein, the authors review the differential diagnosis of Danon disease, diagnostic criteria, natural history, management recommendations, and recent advances in treatment of this increasingly recognized and extremely morbid cardiomyopathy.

A multi-stem cell basis for craniosynostosis and calvarial mineralization.

Craniosynostosis is a group of disorders of premature calvarial suture fusion. The identity of the calvarial stem cells (CSCs) that produce fusion-driving osteoblasts in craniosynostosis remains poorly understood. Here we show that both physiologic calvarial mineralization and pathologic calvarial fusion in craniosynostosis reflect the interaction of two separate stem cell lineages; a previously identified cathepsin K (CTSK) lineage CSC1 (CTSK+ CSC) and a separate discoidin domain-containing receptor 2 (DDR2) lineage stem cell (DDR2+ CSC) that we identified in this study. Deletion of Twist1, a gene associated with craniosynostosis in humans2,3, solely in CTSK+ CSCs is sufficient to drive craniosynostosis in mice, but the sites that are destined to fuse exhibit an unexpected depletion of CTSK+ CSCs and a corresponding expansion of DDR2+ CSCs, with DDR2+ CSC expansion being a direct maladaptive response to CTSK+ CSC depletion. DDR2+ CSCs display full stemness features, and our results establish the presence of two distinct stem cell lineages in the sutures, with both populations contributing to physiologic calvarial mineralization. DDR2+ CSCs mediate a distinct form of endochondral ossification without the typical haematopoietic marrow formation. Implantation of DDR2+ CSCs into suture sites is sufficient to induce fusion, and this phenotype was prevented by co-transplantation of CTSK+ CSCs. Finally, the human counterparts of DDR2+ CSCs and CTSK+ CSCs display conserved functional properties in xenograft assays. The interaction between these two stem cell populations provides a new biologic interface for the modulation of calvarial mineralization and suture patency.

Cerebrospinal Fluid Alzheimer's Disease Biomarker Patterns of Change Prior to the Onset of Mild Cognitive Impairment.

BACKGROUND: Cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are altered many years before the onset of clinical symptoms of mild cognitive impairment (MCI). Incorporating clinical symptom onset time into biomarker modeling may enhance our understanding of changes preceding MCI. OBJECTIVE: Using a new analytical approach, we examined patterns of biomarker change prior to MCI symptom onset among individuals who progressed from normal cognition to MCI, stratified based on the age of symptom onset. We also analyzed biomarker patterns of change among participants who remained cognitively normal, and examined potential modifiers of biomarker trajectories, including demographics and apolipoprotein E (APOE) status. METHODS: Analyses included 93 participants who progressed from normal cognition to MCI and 186 participants who remained cognitively normal, over an average follow-up period of 16.2 years. CSF biomarkers, including Aß42, Aß40, total tau (t-tau), and phosphorylated tau181 (p-tau181), were measured using the fully automated Lumipulse assays. RESULTS: Among participants who progressed to MCI, Aß42/Aß40 decreased, and t-tau and p-tau181 increased. For participants who did not progress to MCI, CSF biomarkers showed relatively stable patterns. In both progressors and non-progressors, APOE4 carriers showed lower Aß 42/Aß40 levels (compared to non-carriers) at each point of the mean curves. Among non-progressors, APOE4 carriers had higher levels of p-tau181, p-tau181/(Aß 42/Aß40), and t-tau/(Aß 42/Aß 40). Additionally, among those who did not progress, female sex was associated with higher levels of t-tau, p-tau181, t-tau/(Aß 42/Aß 40), and p-tau181/(Aß 42/Aß 40). CONCLUSIONS: These findings suggest that this analytic approach may provide additional insights into biomarker changes during early phases of AD.