👤 Christer Betsholtz

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articles
Wenxin Song, Madison Hung, Ellen Kozlov +23 more · 2025 · The Journal of clinical investigation · added 2026-04-24
In peripheral tissues, an endothelial cell (EC) protein, GPIHBP1, captures lipoprotein lipase (LPL) from the interstitial spaces and transports it to the capillary lumen. LPL mediates the margination Show more
In peripheral tissues, an endothelial cell (EC) protein, GPIHBP1, captures lipoprotein lipase (LPL) from the interstitial spaces and transports it to the capillary lumen. LPL mediates the margination of triglyceride-rich (TG-rich) lipoproteins (TRLs) along capillaries, allowing the lipolytic processing of TRLs to proceed. TRL-derived fatty acids are used for fuel in oxidative tissues or stored in adipose tissue. In mice, GPIHBP1 is absent from capillary ECs of the brain (which uses glucose for fuel); consequently, LPL and TRL margination are absent in mouse brain capillaries. However, because fatty acids were reported to play signaling roles in the brain, we hypothesized that LPL-mediated TRL processing might occur within specialized vascular beds within the central nervous system. Here, we show that GPIHBP1 is expressed in capillary ECs of human and mouse choroid plexus (ChP) and that GPIHBP1 transports LPL (produced by adjacent ChP cells) to the capillary lumen. The LPL in ChP capillaries mediates both TRL margination and processing. Intracapillary LPL and TRL margination are absent in the ChP of Gpihbp1-/- mice. GPIHBP1 expression, intracapillary LPL, and TRL margination were also observed in the median eminence and subfornical organ, circumventricular organs implicated in the regulation of food intake. Show less
📄 PDF DOI: 10.1172/JCI191867
LPL
Le Phuong Nguyen, Wenxin Song, Ye Yang +21 more · 2024 · JCI insight · added 2026-04-24
Lipoprotein lipase (LPL) and multiple regulators of LPL activity (e.g., APOC2 and ANGPTL4) are present in all vertebrates, but GPIHBP1-the endothelial cell (EC) protein that captures LPL within the su Show more
Lipoprotein lipase (LPL) and multiple regulators of LPL activity (e.g., APOC2 and ANGPTL4) are present in all vertebrates, but GPIHBP1-the endothelial cell (EC) protein that captures LPL within the subendothelial spaces and transports it to its site of action in the capillary lumen-is present in mammals but in not chickens or other lower vertebrates. In mammals, GPIHBP1 deficiency causes severe hypertriglyceridemia, but chickens maintain low triglyceride levels despite the absence of GPIHBP1. To understand intravascular lipolysis in lower vertebrates, we examined LPL expression in mouse and chicken hearts. In both species, LPL was abundant on capillaries, but the distribution of Lpl transcripts was strikingly different. In mouse hearts, Lpl transcripts were extremely abundant in cardiomyocytes but were barely detectable in capillary ECs. In chicken hearts, Lpl transcripts were absent in cardiomyocytes but abundant in capillary ECs. In zebrafish hearts, lpl transcripts were also in capillary ECs but not cardiomyocytes. In both mouse and chicken hearts, LPL was present, as judged by immunogold electron microscopy, in the glycocalyx of capillary ECs. Thus, mammals produce LPL in cardiomyocytes and rely on GPIHBP1 to transport the LPL into capillaries, whereas lower vertebrates produce LPL directly in capillary ECs, rendering an LPL transporter unnecessary. Show less
📄 PDF DOI: 10.1172/jci.insight.184940
ANGPTL4
Benjamin S Glicksberg, Letizia Amadori, Nicholas K Akers +23 more · 2019 · BMC medical genomics · BioMed Central · added 2026-04-24
Genetic loss-of-function variants (LoFs) associated with disease traits are increasingly recognized as critical evidence for the selection of therapeutic targets. We integrated the analysis of genetic Show more
Genetic loss-of-function variants (LoFs) associated with disease traits are increasingly recognized as critical evidence for the selection of therapeutic targets. We integrated the analysis of genetic and clinical data from 10,511 individuals in the Mount Sinai BioMe Biobank to identify genes with loss-of-function variants (LoFs) significantly associated with cardiovascular disease (CVD) traits, and used RNA-sequence data of seven metabolic and vascular tissues isolated from 600 CVD patients in the Stockholm-Tartu Atherosclerosis Reverse Network Engineering Task (STARNET) study for validation. We also carried out in vitro functional studies of several candidate genes, and in vivo studies of one gene. We identified LoFs in 433 genes significantly associated with at least one of 10 major CVD traits. Next, we used RNA-sequence data from the STARNET study to validate 115 of the 433 LoF harboring-genes in that their expression levels were concordantly associated with corresponding CVD traits. Together with the documented hepatic lipid-lowering gene, APOC3, the expression levels of six additional liver LoF-genes were positively associated with levels of plasma lipids in STARNET. Candidate LoF-genes were subjected to gene silencing in HepG2 cells with marked overall effects on cellular LDLR, levels of triglycerides and on secreted APOB100 and PCSK9. In addition, we identified novel LoFs in DGAT2 associated with lower plasma cholesterol and glucose levels in BioMe that were also confirmed in STARNET, and showed a selective DGAT2-inhibitor in C57BL/6 mice not only significantly lowered fasting glucose levels but also affected body weight. In sum, by integrating genetic and electronic medical record data, and leveraging one of the world's largest human RNA-sequence datasets (STARNET), we identified known and novel CVD-trait related genes that may serve as targets for CVD therapeutics and as such merit further investigation. Show less
📄 PDF DOI: 10.1186/s12920-019-0542-3
APOC3
Marco Castro, Bàrbara Laviña, Koji Ando +6 more · 2019 · Circulation research · added 2026-04-24
Aberrant formation of blood vessels precedes a broad spectrum of vascular complications; however, the cellular and molecular events governing vascular malformations are not yet fully understood. Here, Show more
Aberrant formation of blood vessels precedes a broad spectrum of vascular complications; however, the cellular and molecular events governing vascular malformations are not yet fully understood. Here, we investigated the role of CDC42 (cell division cycle 42) during vascular morphogenesis and its relative importance for the development of cerebrovascular malformations. To avoid secondary systemic effects often associated with embryonic gene deletion, we generated an endothelial-specific and inducible knockout approach to study postnatal vascularization of the mouse brain. Postnatal endothelial-specific deletion of Cdc42 elicits cerebrovascular malformations reminiscent of cerebral cavernous malformations (CCMs). At the cellular level, loss of CDC42 function in brain endothelial cells (ECs) impairs their sprouting, branching morphogenesis, axial polarity, and normal dispersion within the brain tissue. Disruption of CDC42 does not alter EC proliferation, but malformations occur where EC proliferation is the most pronounced during brain development-the postnatal cerebellum-indicating that a high, naturally occurring EC proliferation provides a permissive state for the appearance of these malformations. Mechanistically, CDC42 depletion in ECs elicited increased MEKK3 (mitogen-activated protein kinase kinase kinase 3)-MEK5 (mitogen-activated protein kinase kinase 5)-ERK5 (extracellular signal-regulated kinase 5) signaling and consequent detrimental overexpression of KLF (Kruppel-like factor) 2 and KLF4, recapitulating the hallmark mechanism for CCM pathogenesis. Through genetic approaches, we demonstrate that the coinactivation of Klf4 reduces the severity of vascular malformations in Cdc42 mutant mice. Moreover, we show that CDC42 interacts with CCMs and that CCM3 promotes CDC42 activity in ECs. We show that endothelial-specific deletion of Cdc42 elicits CCM-like cerebrovascular malformations and that CDC42 is engaged in the CCM signaling network to restrain the MEKK3-MEK5-ERK5-KLF2/4 pathway. Show less
no PDF DOI: 10.1161/CIRCRESAHA.118.314300
MAP2K5
Thomas R Webb, Jeanette Erdmann, Kathleen E Stirrups +134 more · 2017 · Journal of the American College of Cardiology · Elsevier · added 2026-04-24
Thomas R Webb, Jeanette Erdmann, Kathleen E Stirrups, Nathan O Stitziel, Nicholas G D Masca, Henning Jansen, Stavroula Kanoni, Christopher P Nelson, Paola G Ferrario, Inke R König, John D Eicher, Andrew D Johnson, Stephen E Hamby, Christer Betsholtz, Arno Ruusalepp, Oscar Franzén, Eric E Schadt, Johan L M Björkegren, Peter E Weeke, Paul L Auer, Ursula M Schick, Yingchang Lu, He Zhang, Marie-Pierre Dube, Anuj Goel, Martin Farrall, Gina M Peloso, Hong-Hee Won, Ron Do, Erik van Iperen, Jochen Kruppa, Anubha Mahajan, Robert A Scott, Christina Willenborg, Peter S Braund, Julian C van Capelleveen, Alex S F Doney, Louise A Donnelly, Rosanna Asselta, Pier A Merlini, Stefano Duga, Nicola Marziliano, Josh C Denny, Christian Shaffer, Nour Eddine El-Mokhtari, Andre Franke, Stefanie Heilmann, Christian Hengstenberg, Per Hoffmann, Oddgeir L Holmen, Kristian Hveem, Jan-Håkan Jansson, Karl-Heinz Jöckel, Thorsten Kessler, Jennifer Kriebel, Karl L Laugwitz, Eirini Marouli, Nicola Martinelli, Mark I McCarthy, Natalie R van Zuydam, Christa Meisinger, Tõnu Esko, Evelin Mihailov, Stefan A Escher, Maris Alver, Susanne Moebus, Andrew D Morris, Jarma Virtamo, Majid Nikpay, Oliviero Olivieri, Sylvie Provost, Alaa AlQarawi, Neil R Robertson, Karen O Akinsansya, Dermot F Reilly, Thomas F Vogt, Wu Yin, Folkert W Asselbergs, Charles Kooperberg, Rebecca D Jackson, Eli Stahl, Martina Müller-Nurasyid, Konstantin Strauch, Tibor V Varga, Melanie Waldenberger, Wellcome Trust Case Control Consortium, Lingyao Zeng, Rajiv Chowdhury, Veikko Salomaa, Ian Ford, J Wouter Jukema, Philippe Amouyel, Jukka Kontto, MORGAM Investigators, Børge G Nordestgaard, Jean Ferrières, Danish Saleheen, Naveed Sattar, Praveen Surendran, Aline Wagner, Robin Young, Joanna M M Howson, Adam S Butterworth, John Danesh, Diego Ardissino, Erwin P Bottinger, Raimund Erbel, Paul W Franks, Domenico Girelli, Alistair S Hall, G Kees Hovingh, Adnan Kastrati, Wolfgang Lieb, Thomas Meitinger, William E Kraus, Svati H Shah, Ruth McPherson, Marju Orho-Melander, Olle Melander, Andres Metspalu, Colin N A Palmer, Annette Peters, Daniel J Rader, Muredach P Reilly, Ruth J F Loos, Alex P Reiner, Dan M Roden, Jean-Claude Tardif, John R Thompson, Nicholas J Wareham, Hugh Watkins, Cristen J Willer, Nilesh J Samani, Heribert Schunkert, Panos Deloukas, Sekar Kathiresan, Myocardial Infarction Genetics and CARDIoGRAM Exome Consortia Investigators Show less
Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseas Show more
Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci. In discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs. We identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 × 10 We identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk. Show less
📄 PDF DOI: 10.1016/j.jacc.2016.11.056
CETP
Clint L Miller, Milos Pjanic, Ting Wang +17 more · 2016 · Nature communications · Nature · added 2026-04-24
Coronary artery disease (CAD) is the leading cause of mortality and morbidity, driven by both genetic and environmental risk factors. Meta-analyses of genome-wide association studies have identified > Show more
Coronary artery disease (CAD) is the leading cause of mortality and morbidity, driven by both genetic and environmental risk factors. Meta-analyses of genome-wide association studies have identified >150 loci associated with CAD and myocardial infarction susceptibility in humans. A majority of these variants reside in non-coding regions and are co-inherited with hundreds of candidate regulatory variants, presenting a challenge to elucidate their functions. Herein, we use integrative genomic, epigenomic and transcriptomic profiling of perturbed human coronary artery smooth muscle cells and tissues to begin to identify causal regulatory variation and mechanisms responsible for CAD associations. Using these genome-wide maps, we prioritize 64 candidate variants and perform allele-specific binding and expression analyses at seven top candidate loci: 9p21.3, SMAD3, PDGFD, IL6R, BMP1, CCDC97/TGFB1 and LMOD1. We validate our findings in expression quantitative trait loci cohorts, which together reveal new links between CAD associations and regulatory function in the appropriate disease context. Show less
📄 PDF DOI: 10.1038/ncomms12092
LMOD1