Advertisement
Research Article| Volume 350, P109-118, June 2022

The metabolic signature of cardiovascular disease and arterial calcification in patients with chronic kidney disease

  • Author Footnotes
    1 These authors contributed equally to this work.
    Ida MH. Sørensen
    Footnotes
    1 These authors contributed equally to this work.
    Affiliations
    Department of Nephrology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark

    Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
    Search for articles by this author
  • Author Footnotes
    1 These authors contributed equally to this work.
    Line S. Bisgaard
    Footnotes
    1 These authors contributed equally to this work.
    Affiliations
    Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark

    Department of Biomedical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
    Search for articles by this author
  • Sasha S. Bjergfelt
    Affiliations
    Department of Nephrology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark

    Department of Biomedical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
    Search for articles by this author
  • Ellen LF. Ballegaard
    Affiliations
    Department of Nephrology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark

    Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
    Search for articles by this author
  • Tor Biering-Sørensen
    Affiliations
    Department of Biomedical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark

    Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Niels Andersens Vej 65, 2900, Hellerup, Copenhagen, Denmark
    Search for articles by this author
  • Nino E. Landler
    Affiliations
    Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Niels Andersens Vej 65, 2900, Hellerup, Copenhagen, Denmark
    Search for articles by this author
  • Author Footnotes
    2 Present affiliation/address, Novo Nordisk A/S – E1, Novo Nordisk Park 1, 2760 Måløv, Denmark.
    Tanja X. Pedersen
    Footnotes
    2 Present affiliation/address, Novo Nordisk A/S – E1, Novo Nordisk Park 1, 2760 Måløv, Denmark.
    Affiliations
    Department of Biomedical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
    Search for articles by this author
  • Klaus F. Kofoed
    Affiliations
    Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark

    Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark

    Department of Radiology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
    Search for articles by this author
  • Theis Lange
    Affiliations
    Department of Public Health (Biostatistics), University of Copenhagen, Øster Farimagsgade 5, 1014, Copenhagen, Denmark
    Search for articles by this author
  • Bo Feldt-Rasmussen
    Affiliations
    Department of Nephrology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark

    Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
    Search for articles by this author
  • Susanne Bro
    Affiliations
    Department of Nephrology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
    Search for articles by this author
  • Christina Christoffersen
    Correspondence
    Corresponding author. Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.
    Affiliations
    Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark

    Department of Biomedical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
    Search for articles by this author
  • Author Footnotes
    1 These authors contributed equally to this work.
    2 Present affiliation/address, Novo Nordisk A/S – E1, Novo Nordisk Park 1, 2760 Måløv, Denmark.

      Highlights

      • 85 metabolites were associated with cardiovascular disease (CVD).
      • 84 metabolites were associated with coronary artery calcium score (CACS).
      • After risk factor adjustment CVD was associated with HDL-related metabolites.
      • CACS was associated with glucose and triglycerides in larger LDL particles.
      • Metabolites other than LDL cholesterol may contribute to CVD in chronic kidney disease (CKD).

      Abstract

      Background and aims

      The relationship between chronic kidney disease (CKD) and cardiovascular events is well-established. Clinically recognised risk factors of cardiovascular disease cannot fully explain this association. The objective of the present cross-sectional study was to investigate associations between serum metabolites and prevalent cardiovascular disease, as well as subclinical cardiovascular disease measured as coronary artery calcium score (CACS) in patients with CKD.

      Methods

      More than 200 preselected metabolites were quantified using nuclear magnetic resonance spectroscopy in 725 patients and 174 controls from the Copenhagen CKD Cohort. CACS was determined by computed tomography.

      Results

      Mean age of patients was 57.8 years, and 444 (61.3%) were men. Most of patients had hypercholesterolemia, and 133 (18.3%) had type 2 diabetes. Overall, 85 metabolites were significantly associated with prevalent cardiovascular disease in a model adjusted for eGFR, age, and sex, as well as Bonferroni correction for multiple testing (p < 0.001). After further adjusting for diabetes, BMI, smoking, and cholesterol-lowering medication, the significance was lost for all but six metabolites (concentration of ApoA-1, cholesterol in total HDL and HDL2, total lipids and phospholipids in large HDL particles, and the ratio of phospholipids to total lipids in smaller VLDL particles). Of the 85 metabolites associated with prevalent cardiovascular disease, 71 were also associated with CACS in a similar pattern. Yet, in the model adjusted for all seven cardiovascular risk factors, only serum glucose levels and the ratio of triglycerides to total lipids in larger LDL particles remained significant.

      Conclusions

      In patients with CKD, associations with prevalent cardiovascular disease were mainly found for HDL-related metabolites, while CACS was associated with glucose levels and increased triglycerides to total lipids ratio in LDL particles.

      Graphical abstract

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Atherosclerosis
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Go A.S.
        • Chertow G.M.
        • Fan D.
        • McCulloch C.E.
        • Hsu C.
        Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization.
        N. Engl. J. Med. 2004; 351: 1296-1305https://doi.org/10.1056/NEJMoa041031
        • Gansevoort R.T.
        • Correa-Rotter R.
        • Hemmelgarn B.R.
        • Jafar T.H.
        • Heerspink H.J.L.
        • et al.
        Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention.
        Lancet. 2013; 382: 339-352https://doi.org/10.1016/S0140-6736(13)60595-4
        • Sosnov J.
        • Lessard D.
        • Goldberg R.J.
        • Yarzebski J.
        • Gore J.M.
        Differential symptoms of acute myocardial infarction in patients with kidney disease: a community-wide perspective.
        Am. J. Kidney Dis. 2006; 47: 378-384https://doi.org/10.1053/j.ajkd.2005.11.017
        • Cheung A.K.
        • Sarnak M.J.
        • Yan G.
        • Dwyer J.T.
        • Heyka R.J.
        • et al.
        Atherosclerotic cardiovascular disease risks in chronic hemodialysis patients.
        Kidney Int. 2000; 58: 353-362https://doi.org/10.1046/j.1523-1755.2000.00173.x
        • Streja E.
        • Norris K.C.
        • Budoff M.J.
        • Hashemi L.
        • Akbilgic O.
        • et al.
        The quest for cardiovascular disease risk prediction models in patients with nondialysis chronic kidney disease.
        Curr. Opin. Nephrol. Hypertens. 2021; 30: 38-46https://doi.org/10.1097/MNH.0000000000000672
        • Mahmoodi B.K.
        • Matsushita K.
        • Woodward M.
        • Blankestijn P.J.
        • Cirillo M.
        • et al.
        Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without hypertension: a meta-analysis.
        Lancet. 2012; 380: 1649-1661https://doi.org/10.1016/S0140-6736(12)61272-0
        • Ferro C.J.
        • Mark P.B.
        • Kanbay M.
        • Sarafidis P.
        • Heine G.H.
        • et al.
        Lipid management in patients with chronic kidney disease.
        Nat. Rev. Nephrol. 2018; 14: 727-749https://doi.org/10.1038/s41581-018-0072-9
        • DeFronzo R.A.
        • Alvestrand A.
        • Smith D.
        • Hendler R.
        • Hendler E.
        • et al.
        Insulin resistance in uremia.
        J. Clin. Invest. 1981; 67: 563-568https://doi.org/10.1172/JCI110067
        • Eidemak I.
        • Feldt-Rasmussen B.
        • Kanstrup I.-L.
        • Nielsen S.L.
        • Schmitz O.
        • et al.
        Insulin resistance and hyperinsulinaemia in mild to moderate progressive chronic renal failure and its association with aerobic work capacity.
        Diabetologia. 1995; 38: 565-572https://doi.org/10.1007/BF00400725
        • Schlieper G.
        • Schurgers L.
        • Brandenburg V.
        • Reutelingsperger C.
        • Floege J.
        Vascular calcification in chronic kidney disease: an update.
        Nephrol. Dial. Transplant. 2016; 31: 31-39https://doi.org/10.1093/ndt/gfv111
        • Stenvinkel P.
        • Carrero J.J.
        • Axelsson J.
        • Lindholm B.
        • Heimbürger O.
        • et al.
        Emerging biomarkers for evaluating cardiovascular risk in the chronic kidney disease patient: how do new pieces fit into the uremic puzzle?.
        Clin. J. Am. Soc. Nephrol. 2008; 3: 505-521https://doi.org/10.2215/CJN.03670807
        • Agatston A.S.
        • Janowitz W.R.
        • Hildner F.J.
        • Zusmer N.R.
        • Viamonte M.
        • et al.
        Quantification of coronary artery calcium using ultrafast computed tomography.
        J. Am. Coll. Cardiol. 1990; 15: 827-832https://doi.org/10.1016/0735-1097(90)90282-T
        • Budoff M.J.
        • Shaw L.J.
        • Liu S.T.
        • Weinstein S.R.
        • Tseng P.H.
        • et al.
        Long-term prognosis associated with coronary calcification.
        J. Am. Coll. Cardiol. 2007; 49: 1860-1870https://doi.org/10.1016/j.jacc.2006.10.079
        • Chen J.
        • Budoff M.J.
        • Reilly M.P.
        • Yang W.
        • Rosas S.E.
        • et al.
        Coronary artery calcification and risk of cardiovascular disease and death among patients with chronic kidney disease.
        JAMA Cardiol. 2017; 2: 635https://doi.org/10.1001/jamacardio.2017.0363
        • Lee J.H.
        • Rizvi A.
        • Hartaigh B.Ó.
        • Han D.
        • Park M.W.
        • et al.
        The predictive value of coronary artery calcium scoring for major adverse cardiac events according to renal function (from the coronary computed tomography angiography evaluation for clinical outcomes: an international multicenter [CONFIRM] registry).
        Am. J. Cardiol. 2019; 123: 1435-1442https://doi.org/10.1016/j.amjcard.2019.01.055
        • Hocher B.
        • Adamski J.
        Metabolomics for clinical use and research in chronic kidney disease.
        Nat. Rev. Nephrol. 2017; 13: 269-284https://doi.org/10.1038/nrneph.2017.30
        • Darshi M.
        • Van Espen B.
        • Sharma K.
        Metabolomics in diabetic kidney disease: Unraveling the Biochemistry of a Silent Killer.
        Am. J. Nephrol. 2016; 44: 92-103https://doi.org/10.1159/000447954
        • Ganda A.
        • Yvan-Charvet L.
        • Zhang Y.
        • Lai E.J.
        • Regunathan-Shenk R.
        • et al.
        Plasma metabolite profiles, cellular cholesterol efflux, and non-traditional cardiovascular risk in patients with CKD.
        J. Mol. Cell. Cardiol. 2017; 112: 114-122https://doi.org/10.1016/j.yjmcc.2017.05.001
        • Diffenderfer M.R.
        • Schaefer E.J.
        The composition and metabolism of large and small LDL.
        Curr. Opin. Lipidol. 2014; 25: 221-226https://doi.org/10.1097/MOL.0000000000000067
        • Soininen P.
        • Kangas A.J.
        • Würtz P.
        • Suna T.
        • Ala-Korpela M.
        Quantitative serum nuclear magnetic resonance metabolomics in cardiovascular epidemiology and genetics.
        Circ. Cardiovasc. Genet. 2015; 8: 192-206https://doi.org/10.1161/CIRCGENETICS.114.000216
        • Würtz P.
        • Kangas A.J.
        • Soininen P.
        • Lawlor D.A.
        • Davey Smith G.
        • et al.
        Quantitative serum nuclear magnetic resonance metabolomics in large-Scale epidemiology: a primer on -omic Technologies.
        Am. J. Epidemiol. 2017; 186: 1084-1096https://doi.org/10.1093/aje/kwx016
        • Sørensen I.M.H.
        • Saurbrey S.A.K.
        • Hjortkjær H.Ø.
        • Brainin P.
        • Carlson N.
        • et al.
        Regional distribution and severity of arterial calcification in patients with chronic kidney disease stages 1–5: a cross-sectional study of the Copenhagen chronic kidney disease cohort.
        BMC Nephrol. 2020; 21: 534https://doi.org/10.1186/s12882-020-02192-y
        • Levey A.S.
        • Stevens L.A.
        • Schmid C.H.
        • Lucy Y.(
        • Zhang A.F. Castro
        • et al.
        A new equation to estimate glomerular filtration rate.
        Ann. Intern. Med. 2009; 150: 604https://doi.org/10.1159/000488816
        • Wickham H.
        ggplot2: Elegant Graphics for Data Analysis.
        Springer-Verlag, New York2016
        • Pletcher M.J.
        • Tice J.A.
        • Pignone M.
        • Browner W.S.
        Using the coronary artery calcium score to predict coronary heart disease events.
        Arch. Intern. Med. 2004; 164: 1285https://doi.org/10.1001/archinte.164.12.1285
        • Kirkwood B.R.
        • Sterne J.A.C.
        Essential Medical Statistics. second ed. vol. 304. John Wiley and Sons Ltd, Oxford2003: 43
        • Tzoulaki I.
        • Castagné R.
        • Boulangé C.L.
        • Karaman I.
        • Chekmeneva E.
        • et al.
        Serum metabolic signatures of coronary and carotid atherosclerosis and subsequent cardiovascular disease.
        Eur. Heart J. 2019; 40: 2883-2896https://doi.org/10.1093/eurheartj/ehz235
        • Nordestgaard B.G.
        Triglyceride-rich lipoproteins and atherosclerotic cardiovascular disease.
        Circ. Res. 2016; 118: 547-563https://doi.org/10.1161/CIRCRESAHA.115.306249
        • Varbo A.
        • Benn M.
        • Tybjærg-Hansen A.
        • Jørgensen A.B.
        • Frikke-Schmidt R.
        • et al.
        Remnant cholesterol as a causal risk factor for ischemic heart disease.
        J. Am. Coll. Cardiol. 2013; 61: 427-436https://doi.org/10.1016/j.jacc.2012.08.1026
        • Thomsen M.
        • Varbo A.
        • Tybjærg-Hansen A.
        • Nordestgaard B.G.
        Low nonfasting triglycerides and reduced all-cause mortality: a mendelian randomization study.
        Clin. Chem. 2014; 60: 737-746https://doi.org/10.1373/clinchem.2013.219881
        • Joshi R.
        • Wannamethee S.G.
        • Engmann J.
        • Gaunt T.
        • Lawlor D.A.
        • et al.
        Triglyceride-containing lipoprotein sub-fractions and risk of coronary heart disease and stroke: a prospective analysis in 11,560 adults.
        Eur. J. Prev. Cardiol. 2020; 27: 1617-1626https://doi.org/10.1177/2047487319899621
        • Balling M.
        • Afzal S.
        • Varbo A.
        • Langsted A.
        • Davey Smith G.
        • et al.
        VLDL cholesterol accounts for one-half of the risk of myocardial infarction associated with apoB-containing lipoproteins.
        J. Am. Coll. Cardiol. 2020; 76: 2725-2735https://doi.org/10.1016/j.jacc.2020.09.610
        • Welsh C.
        • Celis-Morales C.A.
        • Brown R.
        • Mackay D.F.
        • Lewsey J.
        • et al.
        Comparison of conventional lipoprotein tests and apolipoproteins in the prediction of cardiovascular disease.
        Circulation. 2019; 140: 542-552https://doi.org/10.1161/CIRCULATIONAHA.119.041149
        • Würtz P.
        • Havulinna A.S.
        • Soininen P.
        • Tynkkynen T.
        • Prieto-Merino D.
        • et al.
        Metabolite profiling and cardiovascular event risk.
        Circulation. 2015; 131: 774-785https://doi.org/10.1161/CIRCULATIONAHA.114.013116
        • Rosenson R.S.
        • Brewer H.B.
        • Barter P.J.
        • Björkegren J.L.M.
        • Chapman M.J.
        • et al.
        HDL and atherosclerotic cardiovascular disease: genetic insights into complex biology.
        Nat. Rev. Cardiol. 2018; 15: 9-19https://doi.org/10.1038/nrcardio.2017.115
        • Voight B.F.
        • Peloso G.M.
        • Orho-Melander M.
        • Frikke-Schmidt R.
        • Barbalic M.
        • et al.
        Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study.
        Lancet. 2012; 380: 572-580https://doi.org/10.1016/S0140-6736(12)60312-2
        • Kronenberg F.
        HDL in CKD—the devil is in the detail.
        J. Am. Soc. Nephrol. 2018; 29: 1356-1371https://doi.org/10.1681/ASN.2017070798
        • Holzer M.
        • Birner-Gruenberger R.
        • Stojakovic T.
        • El-Gamal D.
        • Binder V.
        • et al.
        Uremia alters HDL composition and function.
        J. Am. Soc. Nephrol. 2011; 22: 1631-1641https://doi.org/10.1681/ASN.2010111144
        • Maeba R.
        • Kojima K.
        • Nagura M.
        • Komori A.
        • Nishimukai M.
        • et al.
        Association of cholesterol efflux capacity with plasmalogen levels of high-density lipoprotein: a cross-sectional study in chronic kidney disease patients.
        Atherosclerosis. 2018; 270: 102-109https://doi.org/10.1016/j.atherosclerosis.2018.01.037
        • Fournier N.
        • Paul J.-L.
        • Atger V.
        • Cogny A.
        • Soni T.
        • et al.
        HDL phospholipid content and composition as a major factor determining cholesterol efflux capacity from Fu5AH cells to human serum.
        Arterioscler. Thromb. Vasc. Biol. 1997; 17: 2685-2691https://doi.org/10.1161/01.ATV.17.11.2685
        • Agarwala A.P.
        • Rodrigues A.
        • Risman M.
        • McCoy M.
        • Trindade K.
        • et al.
        High-density lipoprotein (HDL) phospholipid content and cholesterol efflux capacity are reduced in patients with very high HDL cholesterol and coronary disease.
        Arterioscler. Thromb. Vasc. Biol. 2015; 35: 1515-1519https://doi.org/10.1161/ATVBAHA.115.305504
        • Piperi C.
        • Kalofoutis C.
        • Papaevaggeliou D.
        • Papapanagiotou A.
        • Lekakis J.
        • et al.
        The significance of serum HDL phospholipid levels in angiographically defined coronary artery disease.
        Clin. Biochem. 2004; 37: 377-381https://doi.org/10.1016/j.clinbiochem.2003.10.015
        • Tchoua U.
        • Gillard B.K.
        • Pownall H.J.
        HDL superphospholipidation enhances key steps in reverse cholesterol transport.
        Atherosclerosis. 2010; 209: 430-435https://doi.org/10.1016/j.atherosclerosis.2009.10.002
        • Rohatgi A.
        • Khera A.
        • Berry J.D.
        • Givens E.G.
        • Ayers C.R.
        • et al.
        HDL cholesterol efflux capacity and incident cardiovascular events.
        N. Engl. J. Med. 2014; 371: 2383-2393https://doi.org/10.1056/NEJMoa1409065
        • Moody W.E.
        • Edwards N.C.
        • Chue C.D.
        • Ferro C.J.
        • Townend J.N.
        Arterial disease in chronic kidney disease.
        Heart. 2013; 99: 365-372https://doi.org/10.1136/heartjnl-2012-302818
        • Fliser D.
        • Pacini G.
        • Engelleiter R.
        • Kautzky-Willer A.
        • Prager R.
        • et al.
        Insulin resistance and hyperinsulinemia are already present in patients with incipient renal disease.
        Kidney Int. 1998; 53: 1343-1347https://doi.org/10.1046/j.1523-1755.1998.00898.x
        • Adeva-Andany M.M.
        • Fernández-Fernández C.
        • Carneiro-Freire N.
        • Castro-Quintela E.
        • Pedre-Piñeiro A.
        • et al.
        Insulin resistance underlies the elevated cardiovascular risk associated with kidney disease and glomerular hyperfiltration.
        Rev. Cardiovasc. Med. 2020; 21: 41https://doi.org/10.31083/j.rcm.2020.01.5102
        • Ghosh S.
        • Luo D.
        • He W.
        • Chen J.
        • Su X.
        • et al.
        Diabetes and calcification: the potential role of anti-diabetic drugs on vascular calcification regression.
        Pharmacol. Res. 2020; 158: 104861https://doi.org/10.1016/j.phrs.2020.104861
        • Hoff J.A.
        • Quinn L.
        • Sevrukov A.
        • Lipton R.B.
        • Daviglus M.
        • et al.
        The prevalence of coronary arterycalcium among diabetic individuals without known coronary artery disease.
        J. Am. Coll. Cardiol. 2003; 41: 1008-1012https://doi.org/10.1016/S0735-1097(02)02975-3
        • Wang W.-T.
        • Hsu P.-F.
        • Lin C.-C.
        • Wang Y.-J.
        • Ding Y.-Z.
        • et al.
        Hemoglobin A1C levels are independently associated with the risk of coronary atherosclerotic plaques in patients without diabetes: a cross-sectional study.
        J. Atherosclerosis Thromb. 2020; 27: 789-800https://doi.org/10.5551/jat.51425
        • Carson A.P.
        • Steffes M.W.
        • Carr J.J.
        • Kim Y.
        • Gross M.D.
        • et al.
        Hemoglobin A 1c and the progression of coronary artery calcification among adults without diabetes.
        Diabetes Care. 2015; 38: 66-71https://doi.org/10.2337/dc14-0360
        • Goonasekera M.A.
        • Mafham M.M.
        • Haynes R.J.
        LDL-cholesterol reduction in chronic kidney disease: options beyond statins.
        Curr. Opin. Nephrol. Hypertens. 2020; 29: 480-488https://doi.org/10.1097/MNH.0000000000000628
        • Demer L.L.
        • Tintut Y.
        Vascular calcification: pathobiology of a multifaceted disease.
        Circulation. 2008; 117: 2938-2948https://doi.org/10.1161/CIRCULATIONAHA.107.743161
        • Madhavan M.V.
        • Tarigopula M.
        • Mintz G.S.
        • Maehara A.
        • Stone G.W.
        • et al.
        Coronary artery calcification: pathogenesis and prognostic implications.
        J. Am. Coll. Cardiol. 2014; 63: 1703-1714https://doi.org/10.1016/j.jacc.2014.01.017
        • Wachter D.L.
        • Neureiter D.
        • Câmpean V.
        • Hilgers K.F.
        • Büttner-Herold M.
        • et al.
        In-situ analysis of mast cells and dendritic cells in coronary atherosclerosis in chronic kidney disease (CKD).
        Histol. Histopathol. 2018; 33: 871-886https://doi.org/10.14670/HH-11-988
        • Ganda A.
        • Magnusson M.
        • Yvan-Charvet L.
        • Hedblad B.
        • Engström G.
        • et al.
        Mild renal dysfunction and metabolites tied to low HDL cholesterol are associated with monocytosis and atherosclerosis.
        Circulation. 2013; 127: 988-996https://doi.org/10.1161/CIRCULATIONAHA.112.000682