Plasma Levels of Fatty Acid-Binding Protein 4, Retinol-Binding Protein 4, High-Molecular-Weight Adiponectin, and Cardiovascular Mortality Among Men With Type 2 Diabetes: A 22-Year Prospective Study.

Gang Liu, Ming Ding, Stephanie E Chiuve, Eric B Rimm, Paul W Franks, James B Meigs, Frank B Hu, Qi Sun
Author Information
  1. Gang Liu: From the Department of Nutrition (G.L., M.D., S.E.C., E.B.R., P.W.F., F.B.H., Q.S.) and Department of Epidemiology (E.B.R., F.B.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Preventive Medicine (S.E.C.) and Channing Division of Network Medicine (E.B.R., F.B.H., Q.S.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Sweden (P.W.F.); Skåne University Hospital Malmö, Sweden (P.W.F.); Department of Public Health and Clinical Medicine, Faculty of Medicine, Umeå University, Sweden (P.W.F.); Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (J.B.M.); and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (J.B.M.).
  2. Ming Ding: From the Department of Nutrition (G.L., M.D., S.E.C., E.B.R., P.W.F., F.B.H., Q.S.) and Department of Epidemiology (E.B.R., F.B.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Preventive Medicine (S.E.C.) and Channing Division of Network Medicine (E.B.R., F.B.H., Q.S.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Sweden (P.W.F.); Skåne University Hospital Malmö, Sweden (P.W.F.); Department of Public Health and Clinical Medicine, Faculty of Medicine, Umeå University, Sweden (P.W.F.); Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (J.B.M.); and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (J.B.M.).
  3. Stephanie E Chiuve: From the Department of Nutrition (G.L., M.D., S.E.C., E.B.R., P.W.F., F.B.H., Q.S.) and Department of Epidemiology (E.B.R., F.B.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Preventive Medicine (S.E.C.) and Channing Division of Network Medicine (E.B.R., F.B.H., Q.S.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Sweden (P.W.F.); Skåne University Hospital Malmö, Sweden (P.W.F.); Department of Public Health and Clinical Medicine, Faculty of Medicine, Umeå University, Sweden (P.W.F.); Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (J.B.M.); and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (J.B.M.).
  4. Eric B Rimm: From the Department of Nutrition (G.L., M.D., S.E.C., E.B.R., P.W.F., F.B.H., Q.S.) and Department of Epidemiology (E.B.R., F.B.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Preventive Medicine (S.E.C.) and Channing Division of Network Medicine (E.B.R., F.B.H., Q.S.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Sweden (P.W.F.); Skåne University Hospital Malmö, Sweden (P.W.F.); Department of Public Health and Clinical Medicine, Faculty of Medicine, Umeå University, Sweden (P.W.F.); Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (J.B.M.); and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (J.B.M.).
  5. Paul W Franks: From the Department of Nutrition (G.L., M.D., S.E.C., E.B.R., P.W.F., F.B.H., Q.S.) and Department of Epidemiology (E.B.R., F.B.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Preventive Medicine (S.E.C.) and Channing Division of Network Medicine (E.B.R., F.B.H., Q.S.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Sweden (P.W.F.); Skåne University Hospital Malmö, Sweden (P.W.F.); Department of Public Health and Clinical Medicine, Faculty of Medicine, Umeå University, Sweden (P.W.F.); Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (J.B.M.); and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (J.B.M.).
  6. James B Meigs: From the Department of Nutrition (G.L., M.D., S.E.C., E.B.R., P.W.F., F.B.H., Q.S.) and Department of Epidemiology (E.B.R., F.B.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Preventive Medicine (S.E.C.) and Channing Division of Network Medicine (E.B.R., F.B.H., Q.S.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Sweden (P.W.F.); Skåne University Hospital Malmö, Sweden (P.W.F.); Department of Public Health and Clinical Medicine, Faculty of Medicine, Umeå University, Sweden (P.W.F.); Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (J.B.M.); and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (J.B.M.).
  7. Frank B Hu: From the Department of Nutrition (G.L., M.D., S.E.C., E.B.R., P.W.F., F.B.H., Q.S.) and Department of Epidemiology (E.B.R., F.B.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Preventive Medicine (S.E.C.) and Channing Division of Network Medicine (E.B.R., F.B.H., Q.S.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Sweden (P.W.F.); Skåne University Hospital Malmö, Sweden (P.W.F.); Department of Public Health and Clinical Medicine, Faculty of Medicine, Umeå University, Sweden (P.W.F.); Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (J.B.M.); and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (J.B.M.).
  8. Qi Sun: From the Department of Nutrition (G.L., M.D., S.E.C., E.B.R., P.W.F., F.B.H., Q.S.) and Department of Epidemiology (E.B.R., F.B.H.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Preventive Medicine (S.E.C.) and Channing Division of Network Medicine (E.B.R., F.B.H., Q.S.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Sweden (P.W.F.); Skåne University Hospital Malmö, Sweden (P.W.F.); Department of Public Health and Clinical Medicine, Faculty of Medicine, Umeå University, Sweden (P.W.F.); Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (J.B.M.); and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (J.B.M.). qisun@hsph.harvard.edu.

Abstract

OBJECTIVE: To examine select adipokines, including fatty acid-binding protein 4, retinol-binding protein 4, and high-molecular-weight (HMW) adiponectin in relation to cardiovascular disease (CVD) mortality among patients with type 2 diabetes mellitus.
APPROACH AND RESULTS: Plasma levels of fatty acid-binding protein 4, retinol-binding protein 4, and HMW adiponectin were measured in 950 men with type 2 diabetes mellitus in the Health Professionals Follow-up Study. After an average of 22 years of follow-up (1993-2015), 580 deaths occurred, of whom 220 died of CVD. After multivariate adjustment for covariates, higher levels of fatty acid-binding protein 4 were significantly associated with a higher CVD mortality: comparing extreme tertiles, the hazard ratio and 95% confidence interval of CVD mortality was 1.78 (1.22-2.59; P trend=0.001). A positive association was also observed for HMW adiponectin: the hazard ratio (95% confidence interval) was 2.07 (1.42-3.06; P trend=0.0002), comparing extreme tertiles, whereas higher retinol-binding protein 4 levels were nonsignificantly associated with a decreased CVD mortality with an hazard ratio (95% confidence interval) of 0.73 (0.50-1.07; P trend=0.09). A Mendelian randomization analysis suggested that the causal relationships of HMW adiponectin and retinol-binding protein 4 would be directionally opposite to those observed based on the biomarkers, although none of the Mendelian randomization associations achieved statistical significance.
CONCLUSIONS: These data suggest that higher levels of fatty acid-binding protein 4 and HMW adiponectin are associated with elevated CVD mortality among men with type 2 diabetes mellitus. Biological mechanisms underlying these observations deserve elucidation, but the associations of HMW adiponectin may partially reflect altered adipose tissue functionality among patients with type 2 diabetes mellitus.

Keywords

References

  1. Circ J. 2007 May;71(5):623-30 [PMID: 17456982]
  2. Nat Rev Immunol. 2011 Feb;11(2):85-97 [PMID: 21252989]
  3. Clin Chem. 2009 Mar;55(3):568-72 [PMID: 19168560]
  4. Diabetes. 2004 Aug;53(8):2169-76 [PMID: 15277403]
  5. N Engl J Med. 2005 Feb 17;352(7):666-75 [PMID: 15716560]
  6. Cardiovasc Diabetol. 2014 Sep 10;13:130 [PMID: 25200659]
  7. J Inflamm (Lond). 2013 Oct 07;10(1):31 [PMID: 24099047]
  8. Nat Rev Endocrinol. 2014 Mar;10(3):157-63 [PMID: 24296515]
  9. Curr Opin Endocrinol Diabetes Obes. 2012 Apr;19(2):93-6 [PMID: 22262000]
  10. Circulation. 2005 Sep 20;112(12):1756-62 [PMID: 16157772]
  11. Atherosclerosis. 2009 Sep;206(1):239-44 [PMID: 19339013]
  12. Arterioscler Thromb Vasc Biol. 2015 Aug;35(8):1872-9 [PMID: 26069234]
  13. Neurology. 2011 Jun 7;76(23):1968-75 [PMID: 21562251]
  14. Science. 1996 Nov 22;274(5291):1377-9 [PMID: 8910278]
  15. Circ Cardiovasc Genet. 2014 Oct;7(5):588-98 [PMID: 25122052]
  16. Arch Intern Med. 2001 Jul 23;161(14):1717-23 [PMID: 11485504]
  17. Arterioscler Thromb Vasc Biol. 2002 Oct 1;22(10 ):1686-91 [PMID: 12377750]
  18. Eur J Heart Fail. 2013 Apr;15(4):394-9 [PMID: 23223158]
  19. J Clin Endocrinol Metab. 2008 Apr;93(4):1489-96 [PMID: 18211973]
  20. JAMA. 2009 Jul 8;302(2):179-88 [PMID: 19584347]
  21. Circulation. 2012 Dec 18;126(25):2951-61 [PMID: 23159554]
  22. J Intern Med. 2011 Oct;270(4):346-55 [PMID: 21615808]
  23. Obesity (Silver Spring). 2016 Apr;24(4):820-8 [PMID: 26887289]
  24. Biochim Biophys Acta. 2013 Oct;1831(10):1533-41 [PMID: 23500888]
  25. Oncotarget. 2016 Jul 19;7(29):46253-46262 [PMID: 27323829]
  26. Cardiovasc Res. 2005 Sep 1;67(4):705-13 [PMID: 15907819]
  27. Cancer Epidemiol Biomarkers Prev. 2007 Nov;16(11):2464-70 [PMID: 18006938]
  28. Circulation. 2013 May 14;127(19):1938-47 [PMID: 23584360]
  29. Sci Transl Med. 2015 Dec 23;7(319):319ra205 [PMID: 26702093]
  30. Curr Opin Lipidol. 2005 Oct;16(5):543-8 [PMID: 16148539]
  31. J Am Heart Assoc. 2013 Jan 15;2(1):e004176 [PMID: 23525430]
  32. JAMA. 2004 Nov 24;292(20):2495-9 [PMID: 15562129]
  33. Cell Metab. 2013 May 7;17(5):768-78 [PMID: 23663740]
  34. JAMA. 2004 Apr 14;291(14):1730-7 [PMID: 15082700]
  35. Mol Carcinog. 2017 Jan;56(1):208-217 [PMID: 27061264]
  36. Clin Chem. 2006 May;52(5):853-9 [PMID: 16556684]
  37. Diabetes Care. 2007 Feb;30(2):280-5 [PMID: 17259495]
  38. Atherosclerosis. 2006 Sep;188(1):102-11 [PMID: 16313911]
  39. Diabetes. 2014 Sep;63(9):2962-76 [PMID: 24812430]
  40. Nature. 2007 Jun 21;447(7147):959-65 [PMID: 17554340]
  41. N Engl J Med. 2014 Apr 3;370(14):1363-4 [PMID: 24693908]
  42. Clin Chem. 2006 Mar;52(3):405-13 [PMID: 16423904]
  43. Circ Heart Fail. 2012 May 1;5(3):340-8 [PMID: 22379072]
  44. Circulation. 2006 Aug 15;114(7):623-9 [PMID: 16894037]
  45. Atherosclerosis. 2012 Dec;225(2):491-6 [PMID: 23092825]
  46. Am J Clin Pathol. 2006 Oct;126(4):506-12 [PMID: 16938661]
  47. Ann Intern Med. 2004 Jun 1;140(11):945-50 [PMID: 15172919]
  48. Diabetes Care. 2011 Jul;34(7):1648-50 [PMID: 21617096]
  49. J Lipid Res. 2015 Feb;56(2):423-34 [PMID: 25535287]
  50. J Clin Invest. 2006 Aug;116(8):2183-2192 [PMID: 16841093]
  51. Nature. 2005 Jul 21;436(7049):356-62 [PMID: 16034410]
  52. Diabetologia. 2009 Apr;52(4):591-5 [PMID: 19159917]
  53. Nat Med. 2001 Jun;7(6):699-705 [PMID: 11385507]
  54. J Am Soc Nephrol. 2006 Sep;17(9):2599-606 [PMID: 16885405]
  55. Atherosclerosis. 2002 Dec;165(2):259-69 [PMID: 12417276]
  56. Nat Rev Drug Discov. 2008 Jun;7(6):489-503 [PMID: 18511927]
  57. Metabolism. 2014 Sep;63(9):1157-66 [PMID: 24933398]
  58. Proc Natl Acad Sci U S A. 2006 May 2;103(18):6970-5 [PMID: 16641093]
  59. Diabetes Care. 2007 Oct;30(10):2667-72 [PMID: 17620449]
  60. Circ Heart Fail. 2010 Mar;3(2):185-94 [PMID: 20103776]

Grants

  1. R01 ES021372/NIEHS NIH HHS
  2. R01 DK058845/NIDDK NIH HHS
  3. R00 HL098459/NHLBI NIH HHS
  4. U01 CA167552/NCI NIH HHS
  5. K24 DK080140/NIDDK NIH HHS
  6. R01 ES022981/NIEHS NIH HHS
  7. U01 DK078616/NIDDK NIH HHS
  8. UM1 CA167552/NCI NIH HHS
  9. R01 HL035464/NHLBI NIH HHS

MeSH Term

Adiponectin
Adult
Aged
Biomarkers
Cardiovascular Diseases
Cause of Death
Chi-Square Distribution
Diabetes Mellitus, Type 2
Fatty Acid-Binding Proteins
Genetic Predisposition to Disease
Humans
Linear Models
Male
Mendelian Randomization Analysis
Middle Aged
Molecular Weight
Multivariate Analysis
Polymorphism, Single Nucleotide
Prognosis
Proportional Hazards Models
Prospective Studies
Retinol-Binding Proteins, Plasma
Risk Assessment
Risk Factors
Sex Factors
Time Factors
United States

Chemicals

ADIPOQ protein, human
Adiponectin
Biomarkers
FABP4 protein, human
Fatty Acid-Binding Proteins
RBP4 protein, human
Retinol-Binding Proteins, Plasma

Word Cloud

Created with Highcharts 10.0.04proteinHMWadiponectinCVD2fattyacid-bindingretinol-bindingmortalitytypediabetesmellituslevelshigheramongassociatedhazardratio95%confidenceinterval1Ptrend=0adipokinescardiovasculardiseasepatientsPlasmamenStudycomparingextremetertilesobserved070MendelianrandomizationassociationsProteinOBJECTIVE:examineselectincludinghigh-molecular-weightrelationAPPROACHANDRESULTS:measured950HealthProfessionalsFollow-upaverage22yearsfollow-up1993-2015580deathsoccurred220diedmultivariateadjustmentcovariatessignificantlymortality:7822-259001positiveassociationalsoadiponectin:42-3060002whereasnonsignificantlydecreased7350-109analysissuggestedcausalrelationshipsdirectionallyoppositebasedbiomarkersalthoughnoneachievedstatisticalsignificanceCONCLUSIONS:datasuggestelevatedBiologicalmechanismsunderlyingobservationsdeserveelucidationmaypartiallyreflectalteredadiposetissuefunctionalityLevelsFattyAcid-BindingRetinol-BindingHigh-Molecular-WeightAdiponectinCardiovascularMortalityAmongMenTypeDiabetes:22-YearProspectiveacid–bindingproteinsheartfailure

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