Evidence map›Paper›PMID 26633899›Full record

ArticlePloS one2015

The Association of Human Apolipoprotein C-III Sialylation Proteoforms with Plasma Triglycerides.

Hussein N Yassine, Olgica Trenchevska, Ambika Ramrakhiani, Aarushi Parekh, Juraj Koska, Ryan W Walker, Dean Billheimer, Peter D Reaven, Frances T Yen, Randall W Nelson and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

30 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
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  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Apolipoprotein C3: form begets function.Journal of lipid research · 2024
    Review
  14. Apolipoprotein-CIIIInternational journal of molecular sciences · 2023
    Article
  15. Apo CIII Proteoforms, Plasma Lipids, and Cardiovascular Risk in MESA.Arteriosclerosis, thrombosis, and vascular biology · 2023
    Observational
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review
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

12 authors at 5 institutions in 2 countries.

Hussein N YassineDepartment of Medicine, University of Southern California, Los Angeles, United States of America.
Olgica TrenchevskaThe Biodesign Institute, Arizona State University, Tempe, AZ, United States of America.
Ambika RamrakhianiDepartment of Medicine, University of Southern California, Los Angeles, United States of America.
Aarushi ParekhDepartment of Medicine, University of Southern California, Los Angeles, United States of America.
Juraj KoskaDepartment of Medicine, Phoenix Veteran Affairs Medical Center, Phoenix, AZ, United States of America.
Ryan W WalkerDepartment of Preventive Medicine, University of Southern California, Los Angeles, United States of America.
Dean BillheimerBiostatics Consulting Lab, University of Arizona, Tucson, AZ, United States of America.
Peter D ReavenDepartment of Medicine, Phoenix Veteran Affairs Medical Center, Phoenix, AZ, United States of America.
Frances T YenUniversité de Lorraine, URAFPA, INSERM, Vandoeuvre-lès-Nancy, France.
Randall W NelsonThe Biodesign Institute, Arizona State University, Tempe, AZ, United States of America.
Michael I GoranDepartment of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
Dobrin NedelkovThe Biodesign Institute, Arizona State University, Tempe, AZ, United States of America.
University of Southern California · USArizona State University · USIcahn School of Medicine at Mount Sinai · USUniversité de Lorraine · FRUniversity of Arizona · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
Team Approach to Translate Novel Biomarkers for DiabetesR24DK090958 · NIDDK · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NELSON, RANDALL W, PEARSON, JAMES DAVID · 2011 to 2014
$4.5M
Population-Based Proteomic Investigation of Type 2 Diabetes MellitusR01DK082542 · NIDDK · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NELSON, RANDALL W · 2010 to 2014
$3.0M
The Effect of Saturated Fat Ingestion on the HDL ProteomeK23HL107389 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YASSINE, HUSSEIN N · 2012 to 2016
$648k
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1TR000130NHLBI NIH HHS K23 HL107389NHLBI NIH HHS K23HL107389NIDDK NIH HHS R01 DK082542NIDDK NIH HHS R01DK082542NIDDK NIH HHS R24 DK090958NIDDK NIH HHS R24DK090958
6 · The paper itself

Abstract

introductionApolipoprotein C-III (apoC-III) regulates triglyceride (TG) metabolism. In plasma, apoC-III exists in non-sialylated (apoC-III0a without glycosylation and apoC-III0b with glycosylation), monosialylated (apoC-III1) or disialylated (apoC-III2) proteoforms. Our aim was to clarify the relationship between apoC-III sialylation proteoforms with fasting plasma TG concentrations.

methodsIn 204 non-diabetic adolescent participants, the relative abundance of apoC-III plasma proteoforms was measured using mass spectrometric immunoassay.

resultsCompared with the healthy weight subgroup (n = 16), the ratios of apoC-III0a, apoC-III0b, and apoC-III1 to apoC-III2 were significantly greater in overweight (n = 33) and obese participants (n = 155). These ratios were positively correlated with BMI z-scores and negatively correlated with measures of insulin sensitivity (Si). The relationship of apoC-III1 / apoC-III2 with Si persisted after adjusting for BMI (p = 0.02). Fasting TG was correlated with the ratio of apoC-III0a / apoC-III2 (r = 0.47, p<0.001), apoC-III0b / apoC-III2 (r = 0.41, p<0.001), apoC-III1 / apoC-III2 (r = 0.43, p<0.001). By examining apoC-III concentrations, the association of apoC-III proteoforms with TG was driven by apoC-III0a (r = 0.57, p<0.001), apoC-III0b (r = 0.56. p<0.001) and apoC-III1 (r = 0.67, p<0.001), but not apoC-III2 (r = 0.006, p = 0.9) concentrations, indicating that apoC-III relationship with plasma TG differed in apoC-III2 compared with the other proteoforms.

conclusionWe conclude that apoC-III0a, apoC-III0b, and apoC-III1, but not apoC- III2 appear to be under metabolic control and associate with fasting plasma TG. Measurement of apoC-III proteoforms can offer insights into the biology of TG metabolism in obesity.

Indexed as

AdolescentApolipoprotein C-IIIBody WeightChildFemaleHumansInsulin ResistanceLipid MetabolismMaleObesityOverweightTriglyceridesApolipoprotein C-IIITriglycerides

Identifiers

PMID26633899
PMCPMC4669142
OpenAlexW2189337891

What OpenQuestion holds

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Registered trials

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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.