Evidence map›Paper›PMID 27609367›Full record

ArticleArteriosclerosis, thrombosis, and vascular biology2016

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

Abstract read
In one paragraph

Article in Arteriosclerosis, thrombosis, and vascular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. A-FABP in Metabolic Diseases and the Therapeutic Implications: An Update.International journal of molecular sciences · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Gang LiuFrom 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.).
Ming DingFrom 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.).
Stephanie E ChiuveFrom 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.).
Eric B RimmFrom 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.).
Paul W FranksFrom 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.).
James B MeigsFrom 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.).
Frank B HuFrom 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.).
Qi SunFrom 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.

Funding

Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
BIOCHEMICAL AND GENETIC MARKERS OF TYPE 2 DIABETES RISKR01DK058845 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B · 2001 to 2013
$7.8M
Environmental Obesogens and Weight Change in the POUNDS LOST TrialR01ES022981 · NIEHS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SUN, QI · 2014 to 2024
$4.7M
Rare Sequence Variation and Diabetes Quantitative TraitsU01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2015 to 2019
$3.6M
Pollutant-related diabetes in the Nurses' Health Study IIR01ES021372 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI GRANDJEAN, PHILIPPE ADAM, SUN, QI · 2013 to 2017
$2.9M
Epidemiology of Precursors to Type 2 DiabetesK24DK080140 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2007 to 2016
$1.9M
Novel Adipokines and Coronary Heart Disease in U.S. Men and Women with DiabetesR00HL098459 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SUN, QI · 2012 to 2014
$729k
NCI NIH HHS U01 CA167552NCI NIH HHS UM1 CA167552NHLBI NIH HHS R00 HL098459NHLBI NIH HHS R01 HL035464NIDDK NIH HHS K24 DK080140NIDDK NIH HHS R01 DK058845NIDDK NIH HHS U01 DK078616NIEHS NIH HHS R01 ES021372NIEHS NIH HHS R01 ES022981
6 · The paper itself

Abstract

objectiveTo 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

resultsPlasma 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.

conclusionsThese 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.

Indexed as

AdiponectinAdultAgedBiomarkersCardiovascular DiseasesCause of DeathChi-Square DistributionDiabetes Mellitus, Type 2Fatty Acid-Binding ProteinsGenetic Predisposition to DiseaseHumansLinear ModelsMaleMendelian Randomization AnalysisMiddle AgedMolecular WeightAdiponectinADIPOQ protein, humanBiomarkersFABP4 protein, humanFatty Acid-Binding ProteinsRBP4 protein, humanRetinol-Binding Proteins, Plasmaadipokinesadiponectincardiovascular diseasefatty acid–binding proteinsheart failure

Identifiers

PMID27609367
PMCPMC5083188

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.