👤 Paul A Heidenreich

Acute myeloid leukemia (AML) is a complex hematologic malignancy with multiple disease subgroups defined by somatic mutations and heterogeneous outcomes. Although genome-wide association studies (GWAS) have identified a small number of common genetic variants influencing AML risk, the heritable component of this disease outside of familial susceptibility remains largely undefined. Here, we perform a meta-analysis of 4 published GWAS plus 2 new GWAS, totaling 4710 AML cases and 12 938 controls. We identify a new genome-wide significant risk locus for pan-AML at 2p23.3 (rs4665765; P = 1.35 × 10-8; EFR3B, POMC, DNMT3A, and DNAJC27), which also significantly associates with patient survival (P = 6.09 × 10-3). Our analysis also identifies 3 new genome-wide significant risk loci for disease subgroups, including AML with deletions of chromosome 5 and/or 7 at 1q23.3 (rs12078864; P = 7.0 × 10-10; DUSP23) and cytogenetically complex AML at 2q33.3 (rs12988876; P = 3.28 × 10-8; PARD3B) and 2p21 (rs79918355; P = 1.60 × 10-9; EPCAM). We also investigated loci previously associated with the risk of clonal hematopoiesis (CH) or CH of indeterminate potential and identified several variants associated with the risk of AML. Our results further inform on AML etiology and demonstrate the existence of disease subgroup specific risk loci. Show less

Lipoprotein(a) (Lp[a]) can refine atherosclerotic cardiovascular disease risk assessment and guide lipid-lowering therapy intensification (LLTI). However, the association between Lp(a) testing and LLTI across large health systems is not well characterized. Using Veterans Affairs electronic health record data, we conducted a retrospective cohort study of veterans undergoing lipid testing from January 1, 2017, to June 30, 2024. We first compared a 1:1 propensity-matched cohort with concurrent low-density lipoprotein cholesterol (LDL-C) and Lp(a) testing with those with LDL-C testing alone. We then compared veterans with elevated versus nonelevated Lp(a) (>50 versus <50 mg/dL). The primary outcome was LLTI within 12 months, defined as therapy initiation, dose escalation, or addition of another lipid-lowering agent. LDL-C goal attainment (<100 mg/dL primary prevention; <70 mg/dL secondary prevention) was assessed within 12 months. Multivariable logistic regression adjusted for sociodemographic and clinical factors. Among 6 941 840 veterans with LDL-C testing, 10 384 (0.1%) underwent Lp(a) testing. The propensity-matched cohort included 20 768 veterans (mean±SD age, 58.4±15.3 years; 12.4% women; 19.2% Black individuals). Elevated Lp(a) (>50 mg/dL) was present in 25% (n=2562). Lp(a) testing was associated with greater LLTI (odds ratio [OR], 2.11 [95% CI, 1.95-2.29]), LDL-C testing (OR, 1.27 [95% CI, 1.19-1.36]), and LDL-C goal attainment (OR, 1.22 [95% CI, 1.12-1.33]). Compared with Lp(a) <50 mg/dL, Lp(a) >50 mg/dL was associated with increased LLTI (OR, 1.73 [95% CI, 1.55-1.94]). Lp(a) >100 mg/dL was associated with lower LDL-C goal attainment (OR, 0.68 [95% CI, 0.56-0.84]). Lp(a) testing was associated with increased LLTI and LDL-C goal attainment. Elevated Lp(a) identified individuals more likely to undergo LLTI, suggesting testing may motivate preventive treatment optimization. Show less

The 2013 American College of Cardiology/American Heart Association (ACC/AHA) Cholesterol Management Guideline recommends moderate-intensity to high-intensity statin therapy in eligible patients. To examine adoption of the 2013 ACC/AHA guideline in US cardiology practices. Among 161 cardiology practices, trends in the use of moderate-intensity to high-intensity statin and nonstatin lipid-lowering therapy (LLT) were analyzed before (September 1, 2012, to November 1, 2013) and after (February 1, 2014, to April 1, 2015) publication of the 2013 ACC/AHA guideline among 4 mutually exclusive risk groups within the ACC Practice Innovation and Clinical Excellence Registry. Interrupted time series analysis was used to evaluate for differences in trend in use of moderate-intensity to high-intensity statin and nonstatin LLT use in hierarchical logistic regression models. Participants were a population-based sample of 1 105 356 preguideline patients (2 431 192 patient encounters) and 1 116 472 postguideline patients (2 377 219 patient encounters). Approximately 97% of patients had atherosclerotic cardiovascular disease (ASCVD). Moderate-intensity to high-intensity statin and nonstatin LLT use before and after publication of the 2013 ACC/AHA guideline. Time trend in the use of moderate-intensity to high-intensity statin and nonstatin LLT. In the study cohort, the mean (SD) age was 69.6 (12.1) years among 1 105 356 patients (40.2% female) before publication of the guideline and 70.0 (11.9) years among 1 116 472 patients (39.8% female) after publication of the guideline. Although there was a trend toward increasing use of moderate-intensity to high-intensity statins overall and in the ASCVD cohort, such a trend was already present before publication of the guideline. No significant difference in trend in the use of moderate-intensity to high-intensity statins was observed in other groups. The use of moderate-intensity to high-intensity statin therapy was 62.1% (before publication of the guideline) and 66.6% (after publication of the guideline) in the overall cohort, 62.7% (before publication) and 67.0% (after publication) in the ASCVD cohort, 50.6% (before publication) and 52.3% (after publication) in the cohort with elevated low-density lipoprotein cholesterol levels (ie, ≥190 mg/dL), 52.4% (before publication) and 55.2% (after publication) in the diabetes cohort, and 41.9% (before publication) and 46.9% (after publication) in the remaining group with 10-year ASCVD risk of 7.5% or higher. In hierarchical logistic regression models, there was a significant increase in the use of moderate-intensity to high-intensity statins in the overall cohort (4.8%) and in the ASCVD cohort (4.3%) (P < .01 for slope for both). There was no significant change for other risk cohorts. Nonstatin LLT use remained unchanged in the preguideline and postguideline periods in the hierarchical logistic regression models for all of the risk groups. Adoption of the 2013 ACC/AHA Cholesterol Management Guideline in cardiology practices was modest. Timely interventions are needed to improve guideline-concordant practice to reduce the burden of ASCVD. Show less

The liver integrates multiple metabolic pathways to warrant systemic energy homeostasis. An excessive lipogenic flux due to chronic dietary stimulation contributes to the development of hepatic steatosis, dyslipidemia and hyperglycemia. Here we show that the oxidoreductase retinol saturase (RetSat) is involved in the development of fatty liver. Hepatic RetSat expression correlates with steatosis and serum triglycerides (TGs) in humans. Liver-specific depletion of RetSat in dietary obese mice lowers hepatic and circulating TGs and normalizes hyperglycemia. Mechanistically, RetSat depletion reduces the activity of carbohydrate response element binding protein (ChREBP), a cellular hexose-phosphate sensor and inducer of lipogenesis. Defects upon RetSat depletion are rescued by ectopic expression of ChREBP but not by its putative enzymatic product 13,14-dihydroretinol, suggesting that RetSat affects hepatic glucose sensing independent of retinol conversion. Thus, RetSat is a critical regulator of liver metabolism functioning upstream of ChREBP. Pharmacological inhibition of liver RetSat may represent a therapeutic approach for steatosis.Fatty liver is one of the major features of metabolic syndrome and its development is associated with deregulation of systemic lipid and glucose homeostasis. Here Heidenreich et al. show that retinol saturase is implicated in hepatic lipid metabolism by regulating the activity of the transcription factor ChREBP. Show less

Reduced de novo lipogenesis in adipose tissue, often observed in obese individuals, is thought to contribute to insulin resistance. Besides trapping excess glucose and providing for triglycerides and energy storage, endogenously synthesized lipids can function as potent signaling molecules. Indeed, several specific lipids and their molecular targets that mediate insulin sensitivity have been recently identified. Here, we report that carbohydrate-response element-binding protein (ChREBP), a transcriptional inducer of glucose use and de novo lipogenesis, controls the activity of the adipogenic master regulator peroxisome proliferator-activated receptor (PPAR)γ. Expression of constitutive-active ChREBP in precursor cells activated endogenous PPARγ and promoted adipocyte differentiation. Intriguingly, ChREBP-constitutive-active ChREBP expression induced PPARγ activity in a fatty acid synthase-dependent manner and by trans-activating the PPARγ ligand-binding domain. Reducing endogenous ChREBP activity by either small interfering RNA-mediated depletion, exposure to low-glucose concentrations, or expressing a dominant-negative ChREBP impaired differentiation. In adipocytes, ChREBP regulated the expression of PPARγ target genes, in particular those involved in thermogenesis, similar to synthetic PPARγ ligands. In summary, our data suggest that ChREBP controls the generation of endogenous fatty acid species that activate PPARγ. Thus, increasing ChREBP activity in adipose tissue by therapeutic interventions may promote insulin sensitivity through PPARγ. Show less

Chromosomal rearrangements of the human MLL (mixed lineage leukemia) gene are associated with high-risk infant, pediatric, adult and therapy-induced acute leukemias. We used long-distance inverse-polymerase chain reaction to characterize the chromosomal rearrangement of individual acute leukemia patients. We present data of the molecular characterization of 1590 MLL-rearranged biopsy samples obtained from acute leukemia patients. The precise localization of genomic breakpoints within the MLL gene and the involved translocation partner genes (TPGs) were determined and novel TPGs identified. All patients were classified according to their gender (852 females and 745 males), age at diagnosis (558 infant, 416 pediatric and 616 adult leukemia patients) and other clinical criteria. Combined data of our study and recently published data revealed a total of 121 different MLL rearrangements, of which 79 TPGs are now characterized at the molecular level. However, only seven rearrangements seem to be predominantly associated with illegitimate recombinations of the MLL gene (≈ 90%): AFF1/AF4, MLLT3/AF9, MLLT1/ENL, MLLT10/AF10, ELL, partial tandem duplications (MLL PTDs) and MLLT4/AF6, respectively. The MLL breakpoint distributions for all clinical relevant subtypes (gender, disease type, age at diagnosis, reciprocal, complex and therapy-induced translocations) are presented. Finally, we present the extending network of reciprocal MLL fusions deriving from complex rearrangements. Show less

Chromosomal rearrangements of the human MLL gene are associated with high-risk pediatric, adult and therapy-associated acute leukemias. These patients need to be identified, treated appropriately and minimal residual disease was monitored by quantitative PCR techniques. Genomic DNA was isolated from individual acute leukemia patients to identify and characterize chromosomal rearrangements involving the human MLL gene. A total of 760 MLL-rearranged biopsy samples obtained from 384 pediatric and 376 adult leukemia patients were characterized at the molecular level. The distribution of MLL breakpoints for clinical subtypes (acute lymphoblastic leukemia, acute myeloid leukemia, pediatric and adult) and fused translocation partner genes (TPGs) will be presented, including novel MLL fusion genes. Combined data of our study and recently published data revealed 104 different MLL rearrangements of which 64 TPGs are now characterized on the molecular level. Nine TPGs seem to be predominantly involved in genetic recombinations of MLL: AFF1/AF4, MLLT3/AF9, MLLT1/ENL, MLLT10/AF10, MLLT4/AF6, ELL, EPS15/AF1P, MLLT6/AF17 and SEPT6, respectively. Moreover, we describe for the first time the genetic network of reciprocal MLL gene fusions deriving from complex rearrangements. Show less