👤 Pim Van der Harst

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articles
C Nina van der Wilt, Rogier J A Veltrop, Maaike H Janssens +14 more · 2026 · European heart journal open · Oxford University Press · added 2026-04-24
📄 PDF DOI: 10.1093/ehjopen/oeaf161
MYBPC3
Seung Hoan Choi, Sean J Jurgens, Ling Xiao +102 more · 2025 · Nature genetics · Nature · added 2026-04-24
Seung Hoan Choi, Sean J Jurgens, Ling Xiao, Matthew C Hill, Christopher M Haggerty, Garðar Sveinbjörnsson, Valerie N Morrill, Nicholas A Marston, Lu-Chen Weng, James P Pirruccello, David O Arnar, Daniel Fannar Gudbjartsson, Helene Mantineo, Aenne S von Falkenhausen, Andrea Natale, Arnljot Tveit, Bastiaan Geelhoed, Carolina Roselli, David R Van Wagoner, Dawood Darbar, Doreen Haase, Elsayed Z Soliman, Giovanni E Davogustto, Goo Jun, Hugh Calkins, Jeffrey L Anderson, Jennifer A Brody, Jennifer L Halford, John Barnard, John E Hokanson, Jonathan D Smith, Joshua C Bis, Kendra Young, Linda S B Johnson, Lorenz Risch, Lorne J Gula, Lydia Coulter Kwee, Mark D Chaffin, Michael Kühne, Michael Preuss, Namrata Gupta, Navid A Nafissi, Nicholas L Smith, Peter M Nilsson, Pim Van der Harst, Quinn S Wells, Renae L Judy, Renate B Schnabel, Renee Johnson, Roelof A J Smit, Stacey Gabriel, Stacey Knight, Tetsushi Furukawa, Thomas W Blackwell, Victor Nauffal, Xin Wang, Yuan-I Min, Zachary T Yoneda, Zachary W M Laksman, Connie R Bezzina, Alvaro Alonso, Bruce M Psaty, Christine M Albert, Dan E Arking, Dan M Roden, Daniel I Chasman, Daniel J Rader, David Conen, David D McManus, Diane Fatkin, Emelia J Benjamin, Eric Boerwinkle, Gregory M Marcus, Ingrid E Christophersen, J Gustav Smith, Jason D Roberts, Laura M Raffield, M Benjamin Shoemaker, Michael H Cho, Michael J Cutler, Michiel Rienstra, Mina K Chung, Morten S Olesen, Moritz F Sinner, Nona Sotoodehnia, Paulus Kirchhof, Ruth J F Loos, Saman Nazarian, Sanghamitra Mohanty, Scott M Damrauer, Stefan Kaab, Susan R Heckbert, Susan Redline, Svati H Shah, Toshihiro Tanaka, Yusuke Ebana, Regeneron Genetics Center, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Hilma Holm, Kari Stefansson, Christian T Ruff, Marc S Sabatine, Kathryn L Lunetta, Steven A Lubitz, Patrick T Ellinor Show less
Atrial fibrillation (AF) is a prevalent and morbid abnormality of the heart rhythm with a strong genetic component. Here, we meta-analyzed genome and exome sequencing data from 36 studies that include Show more
Atrial fibrillation (AF) is a prevalent and morbid abnormality of the heart rhythm with a strong genetic component. Here, we meta-analyzed genome and exome sequencing data from 36 studies that included 52,416 AF cases and 277,762 controls. In burden tests of rare coding variation, we identified novel associations between AF and the genes MYBPC3, LMNA, PKP2, FAM189A2 and KDM5B. We further identified associations between AF and rare structural variants owing to deletions in CTNNA3 and duplications of GATA4. We broadly replicated our findings in independent samples from MyCode, deCODE and UK Biobank. Finally, we found that CRISPR knockout of KDM5B in stem-cell-derived atrial cardiomyocytes led to a shortening of the action potential duration and widespread transcriptomic dysregulation of genes relevant to atrial homeostasis and conduction. Our results highlight the contribution of rare coding and structural variants to AF, including genetic links between AF and cardiomyopathies, and expand our understanding of the rare variant architecture for this common arrhythmia. Show less
📄 PDF DOI: 10.1038/s41588-025-02074-9
MYBPC3
R Thomas Lumbers, Sonia Shah, Honghuang Lin +172 more · 2021 · ESC heart failure · Wiley · added 2026-04-24
R Thomas Lumbers, Sonia Shah, Honghuang Lin, Tomasz Czuba, Albert Henry, Daniel I Swerdlow, Anders Mälarstig, Charlotte Andersson, Niek Verweij, Michael V Holmes, Johan Ärnlöv, Per Svensson, Harry Hemingway, Neneh Sallah, Peter Almgren, Krishna G Aragam, Geraldine Asselin, Joshua D Backman, Mary L Biggs, Heather L Bloom, Eric Boersma, Jeffrey Brandimarto, Michael R Brown, Hans-Peter Brunner-La Rocca, David J Carey, Mark D Chaffin, Daniel I Chasman, Olympe Chazara, Xing Chen, Xu Chen, Jonathan H Chung, William Chutkow, John G F Cleland, James P Cook, Simon de Denus, Abbas Dehghan, Graciela E Delgado, Spiros Denaxas, Alexander S Doney, Marcus Dörr, Samuel C Dudley, Gunnar Engström, Tõnu Esko, Ghazaleh Fatemifar, Stephan B Felix, Chris Finan, Ian Ford, Francoise Fougerousse, René Fouodjio, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Franco Giulianini, John S Gottdiener, Stefan Gross, Daníel F Guðbjartsson, Hongsheng Gui, Rebecca Gutmann, Christopher M Haggerty, Pim Van der Harst, Åsa K Hedman, Anna Helgadottir, Hans Hillege, Craig L Hyde, Jaison Jacob, J Wouter Jukema, Frederick Kamanu, Isabella Kardys, Maryam Kavousi, Kay-Tee Khaw, Marcus E Kleber, Lars Køber, Andrea Koekemoer, Bill Kraus, Karoline Kuchenbaecker, Claudia Langenberg, Lars Lind, Cecilia M Lindgren, Barry London, Luca A Lotta, Ruth C Lovering, Jian'an Luan, Patrik Magnusson, Anubha Mahajan, Douglas Mann, Kenneth B Margulies, Nicholas A Marston, Winfried März, John J V McMurray, Olle Melander, Giorgio Melloni, Ify R Mordi, Michael P Morley, Andrew D Morris, Andrew P Morris, Alanna C Morrison, Michael W Nagle, Christopher P Nelson, Christopher Newton-Cheh, Alexander Niessner, Teemu Niiranen, Christoph Nowak, Michelle L O'Donoghue, Anjali T Owens, Colin N A Palmer, Guillaume Paré, Markus Perola, Louis-Philippe Lemieux Perreault, Eliana Portilla-Fernandez, Bruce M Psaty, Kenneth M Rice, Paul M Ridker, Simon P R Romaine, Carolina Roselli, Jerome I Rotter, Christian T Ruff, Marc S Sabatine, Perttu Salo, Veikko Salomaa, Jessica van Setten, Alaa A Shalaby, Diane T Smelser, Nicholas L Smith, Kari Stefansson, Steen Stender, David J Stott, Garðar Sveinbjörnsson, Mari-Liis Tammesoo, Jean-Claude Tardif, Kent D Taylor, Maris Teder-Laving, Alexander Teumer, Guðmundur Thorgeirsson, Unnur Thorsteinsdottir, Christian Torp-Pedersen, Stella Trompet, Danny Tuckwell, Benoit Tyl, Andre G Uitterlinden, Felix Vaura, Abirami Veluchamy, Peter M Visscher, Uwe Völker, Adriaan A Voors, Xiaosong Wang, Nicholas J Wareham, Peter E Weeke, Raul Weiss, Harvey D White, Kerri L Wiggins, Heming Xing, Jian Yang, Yifan Yang, Laura M Yerges-Armstrong, Bing Yu, Faiez Zannad, Faye Zhao, Regeneron Genetics Center, Jemma B Wilk, Hilma Holm, Naveed Sattar, Steven A Lubitz, David E Lanfear, Svati Shah, Michael E Dunn, Quinn S Wells, Folkert W Asselbergs, Aroon D Hingorani, Marie-Pierre Dubé, Nilesh J Samani, Chim C Lang, Thomas P Cappola, Patrick T Ellinor, Ramachandran S Vasan, J Gustav Smith Show less
The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. The consortium currently includes 51 studies fro Show more
The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome-wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow-up following heart failure diagnosis ranged from 2 to 116 months. Forty-nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34-90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low-frequency variants (allele frequency 0.01-0.05) at P < 5 × 10 HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction. Show less
📄 PDF DOI: 10.1002/ehf2.13517
CETP
Maaike Yldau van der Ende, Mir Abdullah Said, Dirk Jan van Veldhuisen +2 more · 2018 · Cardiovascular research · Oxford University Press · added 2026-04-24
Heart failure (HF) is a complex clinical syndrome resulting from structural or functional impairments of ventricular filling or ejection of blood. HF has a poor prognosis and the burden to society rem Show more
Heart failure (HF) is a complex clinical syndrome resulting from structural or functional impairments of ventricular filling or ejection of blood. HF has a poor prognosis and the burden to society remains tremendous. The unfulfilled expectation is that expanding our knowledge of the genetic architecture of HF will help to quickly advance the quality of risk assessment, diagnoses, and treatment. To date, genome-wide association studies (GWAS) of HF have led to disappointing results with only limited progress in our understanding and tempering the earlier expectations. However, the analyses of traits closely related to HF (also called 'endophenotypes') have led to promising and novel findings. For example, GWAS of NT-proBNP levels not only identified variants in the NNPA-NPPB locus but also substantiated data suggesting that natriuretic peptides in itself are associated with a lower risk of hypertension and HF. Many other genetic associates currently await experimental follow-up in which genes are prioritized based on bioinformatic analyses and various model organisms are employed to obtain functional insights. Promising genes with identified function could later be used in personalized medicine. Also, targeting specific pathogenic gene mutations is promising to protect future generations from HF, such as recently done in human embryos carrying the cardiomyopathy-associated MYBPC3 mutation. This review discusses the current status of GWAS of HF and its endophenotypes. In addition, future directions such as functional follow-up and application of GWAS results are discussed. Show less
no PDF DOI: 10.1093/cvr/cvy083
MYBPC3
Niek Verweij, Irene Mateo Leach, Aaron Isaacs +27 more · 2016 · Human molecular genetics · Oxford University Press · added 2026-04-24
The ST-segment and adjacent T-wave (ST-T wave) amplitudes of the electrocardiogram are quantitative characteristics of cardiac repolarization. Repolarization abnormalities have been linked to ventricu Show more
The ST-segment and adjacent T-wave (ST-T wave) amplitudes of the electrocardiogram are quantitative characteristics of cardiac repolarization. Repolarization abnormalities have been linked to ventricular arrhythmias and sudden cardiac death. We performed the first genome-wide association meta-analysis of ST-T-wave amplitudes in up to 37 977 individuals identifying 71 robust genotype-phenotype associations clustered within 28 independent loci. Fifty-four genes were prioritized as candidates underlying the phenotypes, including genes with established roles in the cardiac repolarization phase (SCN5A/SCN10A, KCND3, KCNB1, NOS1AP and HEY2) and others with as yet undefined cardiac function. These associations may provide insights in the spatiotemporal contribution of genetic variation influencing cardiac repolarization and provide novel leads for future functional follow-up. Show less
📄 PDF DOI: 10.1093/hmg/ddw058
HEY2
Megan V Cannon, Herman H W Silljé, Jürgen W A Sijbesma +10 more · 2015 · EMBO molecular medicine · added 2026-04-24
Pathological cardiac hypertrophy is characterized by a shift in metabolic substrate utilization from fatty acids to glucose, but the molecular events underlying the metabolic remodeling remain poorly Show more
Pathological cardiac hypertrophy is characterized by a shift in metabolic substrate utilization from fatty acids to glucose, but the molecular events underlying the metabolic remodeling remain poorly understood. Here, we investigated the role of liver X receptors (LXRs), which are key regulators of glucose and lipid metabolism, in cardiac hypertrophic pathogenesis. Using a transgenic approach in mice, we show that overexpression of LXRα acts to protect the heart against hypertrophy, fibrosis, and dysfunction. Gene expression profiling studies revealed that genes regulating metabolic pathways were differentially expressed in hearts with elevated LXRα. Functionally, LXRα overexpression in isolated cardiomyocytes and murine hearts markedly enhanced the capacity for myocardial glucose uptake following hypertrophic stress. Conversely, this adaptive response was diminished in LXRα-deficient mice. Transcriptional changes induced by LXRα overexpression promoted energy-independent utilization of glucose via the hexosamine biosynthesis pathway, resulting in O-GlcNAc modification of GATA4 and Mef2c and the induction of cytoprotective natriuretic peptide expression. Our results identify LXRα as a key cardiac transcriptional regulator that helps orchestrate an adaptive metabolic response to chronic cardiac stress, and suggest that modulating LXRα may provide a unique opportunity for intervening in myocyte metabolism. Show less
no PDF DOI: 10.15252/emmm.201404669
NR1H3
Naishi Li, Marijke R van der Sijde, LifeLines Cohort Study Group +9 more · 2014 · Diabetes · added 2026-04-24
Dyslipidemia is strongly associated with raised plasma glucose levels and insulin resistance (IR), and genome-wide association studies have identified 95 loci that explain a substantial proportion of Show more
Dyslipidemia is strongly associated with raised plasma glucose levels and insulin resistance (IR), and genome-wide association studies have identified 95 loci that explain a substantial proportion of the variance in blood lipids. However, the loci's effects on glucose-related traits are largely unknown. We have studied these lipid loci and tested their association collectively and individually with fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), and IR in two independent cohorts: 10,995 subjects from LifeLines Cohort Study and 2,438 subjects from Prevention of Renal and Vascular Endstage Disease (PREVEND) study. In contrast to the positive relationship between dyslipidemia and glucose traits, the genetic predisposition to dyslipidemia showed a pleiotropic lowering effect on glucose traits. Specifically, the genetic risk score related to higher triglyceride level was correlated with lower levels of FPG (P = 9.6 × 10(-10) and P = 0.03 in LifeLines and PREVEND, respectively), HbA1c (P = 4.2 × 10(-7) in LifeLines), and HOMA of estimated IR (P = 6.2 × 10(-4) in PREVEND), after adjusting for blood lipid levels. At the single nucleotide polymorphism level, 15 lipid loci showed a pleiotropic association with glucose traits (P < 0.01), of which eight (CETP, MLXIPL, PLTP, GCKR, APOB, APOE-C1-C2, CYP7A1, and TIMD4) had opposite allelic directions of effect on dyslipidemia and glucose levels. Our findings suggest a complex genetic regulation and metabolic interplay between lipids and glucose. Show less
no PDF DOI: 10.2337/db13-1800
MLXIPL
John C Chambers, Weihua Zhang, Joban Sehmi +140 more · 2011 · Nature genetics · Nature · added 2026-04-24
John C Chambers, Weihua Zhang, Joban Sehmi, Xinzhong Li, Mark N Wass, Pim Van der Harst, Hilma Holm, Serena Sanna, Maryam Kavousi, Sebastian E Baumeister, Lachlan J Coin, Guohong Deng, Christian Gieger, Nancy L Heard-Costa, Jouke-Jan Hottenga, Brigitte Kühnel, Vinod Kumar, Vasiliki Lagou, Liming Liang, Jian'an Luan, Pedro Marques Vidal, Irene Mateo Leach, Paul F O'Reilly, John F Peden, Nilufer Rahmioglu, Pasi Soininen, Elizabeth K Speliotes, Xin Yuan, Gudmar Thorleifsson, Behrooz Z Alizadeh, Larry D Atwood, Ingrid B Borecki, Morris J Brown, Pimphen Charoen, Francesco Cucca, Debashish Das, Eco J C de Geus, Anna L Dixon, Angela Döring, Georg Ehret, Gudmundur I Eyjolfsson, Martin Farrall, Nita G Forouhi, Nele Friedrich, Wolfram Goessling, Daniel F Gudbjartsson, Tamara B Harris, Anna-Liisa Hartikainen, Simon Heath, Gideon M Hirschfield, Albert Hofman, Georg Homuth, Elina Hyppönen, Harry L A Janssen, Toby Johnson, Antti J Kangas, Ido P Kema, Jens P Kühn, Sandra Lai, Mark Lathrop, Markus M Lerch, Yun Li, T Jake Liang, Jing-Ping Lin, Ruth J F Loos, Nicholas G Martin, Miriam F Moffatt, Grant W Montgomery, Patricia B Munroe, Kiran Musunuru, Yusuke Nakamura, Christopher J O'Donnell, Isleifur Olafsson, Brenda W Penninx, Anneli Pouta, Bram P Prins, Inga Prokopenko, Ralf Puls, Aimo Ruokonen, Markku J Savolainen, David Schlessinger, Jeoffrey N L Schouten, Udo Seedorf, Srijita Sen-Chowdhry, Katherine A Siminovitch, Johannes H Smit, Timothy D Spector, Wenting Tan, Tanya M Teslovich, Taru Tukiainen, Andre G Uitterlinden, Melanie M Van der Klauw, Ramachandran S Vasan, Chris Wallace, Henri Wallaschofski, H-Erich Wichmann, Gonneke Willemsen, Peter Würtz, Chun Xu, Laura M Yerges-Armstrong, Alcohol Genome-wide Association (AlcGen) Consortium, Diabetes Genetics Replication and Meta-analyses (DIAGRAM+) Study, Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Global Lipids Genetics Consortium, Genetics of Liver Disease (GOLD) Consortium, International Consortium for Blood Pressure (ICBP-GWAS), Meta-analyses of Glucose and Insulin-Related Traits Consortium (MAGIC), Goncalo R Abecasis, Kourosh R Ahmadi, Dorret I Boomsma, Mark Caulfield, William O Cookson, Cornelia M Van Duijn, Philippe Froguel, Koichi Matsuda, Mark I McCarthy, Christa Meisinger, Vincent Mooser, Kirsi H Pietiläinen, Gunter Schumann, Harold Snieder, Michael J E Sternberg, Ronald P Stolk, Howard C Thomas, Unnur Thorsteinsdottir, Manuela Uda, Gérard Waeber, Nicholas J Wareham, Dawn M Waterworth, Hugh Watkins, John B Whitfield, Jacqueline C M Witteman, Bruce H R Wolffenbuttel, Caroline S Fox, Mika Ala-Korpela, Kari Stefansson, Peter Vollenweider, Henry Völzke, Eric E Schadt, James Scott, Marjo-Riitta Järvelin, Paul Elliott, Jaspal S Kooner Show less
Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with conc Show more
Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver enzymes in plasma, of which 32 are new associations (P = 10(-8) to P = 10(-190)). We used functional genomic approaches including metabonomic profiling and gene expression analyses to identify probable candidate genes at these regions. We identified 69 candidate genes, including genes involved in biliary transport (ATP8B1 and ABCB11), glucose, carbohydrate and lipid metabolism (FADS1, FADS2, GCKR, JMJD1C, HNF1A, MLXIPL, PNPLA3, PPP1R3B, SLC2A2 and TRIB1), glycoprotein biosynthesis and cell surface glycobiology (ABO, ASGR1, FUT2, GPLD1 and ST3GAL4), inflammation and immunity (CD276, CDH6, GCKR, HNF1A, HPR, ITGA1, RORA and STAT4) and glutathione metabolism (GSTT1, GSTT2 and GGT), as well as several genes of uncertain or unknown function (including ABHD12, EFHD1, EFNA1, EPHA2, MICAL3 and ZNF827). Our results provide new insight into genetic mechanisms and pathways influencing markers of liver function. Show less
📄 PDF DOI: 10.1038/ng.970
FADS1
Irma Kuipers, Jiang Li, Inge Vreeswijk-Baudoin +7 more · 2010 · European journal of heart failure · Oxford University Press · added 2026-04-24
Liver X receptor (LXR) is a nuclear receptor regulating cholesterol metabolism. Liver X receptor has also been shown to exert anti-proliferative and anti-inflammatory properties. In this study, we eva Show more
Liver X receptor (LXR) is a nuclear receptor regulating cholesterol metabolism. Liver X receptor has also been shown to exert anti-proliferative and anti-inflammatory properties. In this study, we evaluated the effect of LXR activation on cardiac hypertrophy in vitro and in vivo. Treatment with the synthetic LXR agonist T0901317 (T09) attenuated the hypertrophic response of cultured cardiomyocytes to endothelin-1 almost to control levels. siRNA interference showed that this effect was indeed LXR specific. To corroborate these findings in vivo, abdominal aortic constriction (AC) was used as a pressure overload model to induce cardiac hypertrophy in wild-type and LXR-α-deficient (LXR-α(-/-)) mice. In wild-type mice, T09 treatment resulted in a decrease of cardiac wall thickening 4 and 7 weeks after AC. Also, after 7 weeks of AC, mean arterial blood pressure and left ventricular weight/body weight (LVW/BW) ratios were decreased in T09 treated mice. These effects were not observed in LXR-α(-/-) mice, indicating that the beneficial effect of LXR activation on cardiac hypertrophy is attributable to the LXR-α isoform. T09 induced robust cardiac expression of metabolic genes which are downstream of LXR-α, such as SREBP-1c, ABCA1, and ABCG1. Together these results indicate that LXR exerts salutary effects in cardiac hypertrophy, possibly via metabolic remodelling. Show less
no PDF DOI: 10.1093/eurjhf/hfq109
NR1H3
Irma Kuipers, Pim Van der Harst, Folkert Kuipers +6 more · 2010 · Laboratory investigation; a journal of technical methods and pathology · Nature · added 2026-04-24
Liver X receptor (LXR)-alpha is a pivotal player in reverse cholesterol metabolism. Recently, LXR-alpha was implicated as an immediate regulator of renin expression in a cAMP-responsive manner. To det Show more
Liver X receptor (LXR)-alpha is a pivotal player in reverse cholesterol metabolism. Recently, LXR-alpha was implicated as an immediate regulator of renin expression in a cAMP-responsive manner. To determine whether long-term LXR-alpha activation affects activation of the renal and cardiac renin-angiotensin-aldosterone system (RAAS), we treated mice with T0901317 (T09, a specific synthetic LXR agonist) in combination with the RAAS inducer isoproterenol (ISO). LXR-alpha-deficient (LXR-alpha(-/-)) and wild-type (WT) C57Bl/6J mice were treated with ISO, T09 or both for 7 days. Low-dose ISO treatment, not associated with an increase in blood pressure, caused an increase in renal renin mRNA, renin protein and ACE protein in WT mice. WT mice treated with both ISO and T09 had decreased renal renin, ACE and AT(1)R mRNA expression compared with mice treated with ISO only. Cardiac ACE mRNA expression was also reduced in the hearts of WT mice treated with ISO and T09 compared with those treated with ISO alone. The transcriptional changes of renin, ACE and AT(1)R were mostly absent in mice deficient for LXR-alpha, suggesting that these effects are importantly conferred through LXR-alpha. In conclusion, LXR-alpha activation blunts ISO-induced increases in mRNA expression of renin, AT(1)R and ACE in the heart and kidney. These findings suggest a role for LXR-alpha in RAAS regulation. Show less
no PDF DOI: 10.1038/labinvest.2010.7
NR1H3