Evidence map›Paper›PMID 33619548›Full record

ArticleThe Journal of clinical endocrinology and metabolism2021

Genetic and Metabolic Determinants of Plasma Levels of ANGPTL8.

Federico Oldoni, Kevin Bass, Julia Kozlitina, Hannah Hudson, Lisa M Shihanian, Viktoria Gusarova, Jonathan C Cohen, Helen H Hobbs

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
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  5. Profile of Jonathan C. Cohen.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Association Between rs2278426 Polymorphism of theDiabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  7. Article
  8. Article
  9. Article
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  12. Genetic and Metabolic Determinants of Plasma Levels of ANGPTL8.The Journal of clinical endocrinology and metabolism · 2021
    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

8 authors at 4 institutions in 1 country.

Federico OldoniDepartment of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0001-5900-1399
Kevin BassDepartment of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Julia KozlitinaThe Eugene McDermott Center of Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0001-7720-2290
Hannah HudsonDepartment of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Lisa M ShihanianRegeneron Pharmaceuticals, Tarrytown, NY, USA.
Viktoria GusarovaRegeneron Pharmaceuticals, Tarrytown, NY, USA.
Jonathan C CohenThe Eugene McDermott Center of Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Helen H HobbsDepartment of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-8700-9897
The University of Texas Southwestern Medical Center · USRegeneron (United States) · USSouthwestern Medical Center · USHoward Hughes Medical Institute · US

Funding

TRANSCRIPTIONAL REGULATION OF LDL RECEPTOR PROMOTERP01HL020948 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI GOLDSTEIN, JOSEPH L · 1985 to 2021
$103.1M
NHLBI NIH HHS P01 HL020948
6 · The paper itself

Abstract

contextANGPTL8 (A8) plays a key role in determining the tissue fate of circulating triglycerides (TGs). Plasma A8 levels are associated with several parameters of glucose and TG metabolism, but the causality of these relationships and the contribution of genetic variants to differences in A8 levels have not been explored.

objectiveTo characterize the frequency distribution of plasma A8 levels in a diverse population using a newly-developed enzyme-linked immunosorbent assay (ELISA) and to identify genetic factors contributing to differences in plasma A8 levels.

methodsWe studied a population-based sample of Dallas County, comprising individuals in the Dallas Heart Study (DHS-1, n = 3538; DHS-2, n = 3283), including 2131 individuals with repeated measurements 7 to 9 years apart (age 18-85 years; >55% female; 52% Black; 29% White; 17% Hispanic; and 2% other). The main outcome measures were associations of A8 levels with body mass index (BMI), plasma levels of glucose, insulin, lipids, and hepatic TGs, as well as DNA variants identified by exome-wide sequencing.

resultsA8 levels varied over a 150-fold range (2.1-318 ng/mL; median, 13.3 ng/mL) and differed between racial/ethnic groups (Blacks > Hispanics > Whites). A8 levels correlated with BMI, fasting glucose, insulin, and TG levels. A variant in A8, R59W, accounted for 17% of the interindividual variation in A8 levels but was not associated with the metabolic parameters correlated with plasma A8 concentrations.

conclusionsA8 levels were strongly associated with indices of glucose and TG metabolism, but the lack of association of genetic variants at the A8 locus that impact A8 levels with these parameters indicates that differences in A8 levels are not causally related to the associated metabolic phenotypes.

Indexed as

Genetic BackgroundAdolescentAdultAgedAged, 80 and overAngiopoietin-Like Protein 8Angiopoietin-like ProteinsCohort StudiesEnergy MetabolismEthnicityFemaleGlucoseHumansMaleMiddle AgedObesityAngiopoietin-Like Protein 8Angiopoietin-like ProteinsANGPTL8 protein, humanGlucosePeptide HormonesTriglyceridesANGPTL3ANGPTL8glucoseinsulinobesitytriglycerides

Identifiers

PMID33619548
PMCPMC8118582
OpenAlexW3130247074

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.