Evidence map›Paper›PMID 27007680›Full record

ArticlePloS one2016

Soluble Forms of Intercellular and Vascular Cell Adhesion Molecules Independently Predict Progression to Type 2 Diabetes in Mexican American Families.

Hemant Kulkarni, Manju Mamtani, Juan Peralta, Marcio Almeida, Thomas D Dyer, Harald H Goring, Matthew P Johnson, Ravindranath Duggirala, Michael C Mahaney, Rene L Olvera and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Hemant KulkarniSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
Manju MamtaniSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
Juan PeraltaSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
Marcio AlmeidaSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
Thomas D DyerSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
Harald H GoringSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
Matthew P JohnsonSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
Ravindranath DuggiralaSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
Michael C MahaneySouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
Rene L OlveraDepartment of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America.
Laura AlmasySouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
David C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States of America.
Sarah Williams-BlangeroSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
Joanne E CurranSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
John BlangeroSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States of America.
The University of Texas Rio Grande Valley · USThe University of Texas Health Science Center at San Antonio · USYale University · US

Funding

PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI DYER, THOMAS DAVID · 1991 to 2012
$27.6M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
Expression-Based Empirical Candidate Genes Influencing Body Mass IndexR01DK082610 · NIDDK · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI CURRAN, JOANNE E. · 2009 to 2010
$1.7M
NHLBI NIH HHS P01 HL045522NHLBI NIH HHS R01 HL045522NIDDK NIH HHS R01 DK082610NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH083824
6 · The paper itself

Abstract

objectiveWhile the role of type 2 diabetes (T2D) in inducing endothelial dysfunction is fairly well-established the etiological role of endothelial dysfunction in the onset of T2D is still a matter of debate. In the light of conflicting evidence in this regard, we conducted a prospective study to determine the association of circulating levels of soluble intercellular adhesion molecule 1 (sICAM-1) and soluble vessel cell adhesion molecule 1 (sVCAM-1) with incident T2D.

methodsData from this study came from 1,269 Mexican Americans of whom 821 initially T2D-free individuals were longitudinally followed up in the San Antonio Family Heart Study. These individuals were followed for 9752.95 person-years for development of T2D. Prospective association of sICAM-1 and sVCAM-1 with incident T2D was studied using Kaplan-Meier survival plots and mixed effects Cox proportional hazards modeling to account for relatedness among study participants. Incremental value of adhesion molecule biomarkers was studied using integrated discrimination improvement (IDI) and net reclassification improvement (NRI) indexes.

resultsDecreasing median values for serum concentrations of sICAM-1 and sVCAM-1 were observed in the following groups in this order: individuals with T2D at baseline, individuals who developed T2D during follow-up, individuals with prediabetes at baseline and normal glucose tolerant (NGT) individuals who remained T2D-free during follow-up. Top quartiles for sICAM-1 and sVCAM-1 were strongly and significantly associated with homeostatic model of assessment--insulin resistance (HOMA-IR). Mixed effects Cox proportional hazards modeling revealed that after correcting for important clinical confounders, high sICAM-1 and sVCAM-1 concentrations were associated with 2.52 and 1.99 times faster progression to T2D as compared to low concentrations, respectively. Individuals with high concentrations for both sICAM-1 and sVCAM-1 progressed to T2D 3.42 times faster than those with low values for both sICAM-1 and sVCAM-1. The results were similar in women in reproductive age group and the remainder of the cohort. Inclusion of sICAM-1 and sVCAM-1 in predictive models significantly improved reclassification and discrimination. The majority of these results were seen even when the analyses were restricted to NGT individuals.

conclusionSerum concentrations of sICAM-1 and sVCAM-1 independently and additively predict future T2D and represent important candidate biomarkers of T2D.

Indexed as

AdultCell Adhesion MoleculesDiabetes Mellitus, Type 2Disease ProgressionFemaleHumansInsulin ResistanceLongitudinal StudiesMaleMenstruationMexican AmericansTexasCell Adhesion Molecules

Identifiers

PMID27007680
PMCPMC4805238
OpenAlexW2306681386

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.