Evidence map›Paper›PMID 30282904›Full record

ArticleNutrients2018

10,12 Conjugated Linoleic Acid-Driven Weight Loss Is Protective against Atherosclerosis in Mice and Is Associated with Alternative Macrophage Enrichment in Perivascular Adipose Tissue.

Jenny E Kanter, Leela Goodspeed, Shari Wang, Farah Kramer, Tomasz Wietecha, Diego Gomes-Kjerulf, Savitha Subramanian, Kevin D O'Brien, Laura J den Hartigh

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 1 institution in 1 country.

Jenny E KanterDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington Medicine Diabetes Institute, University of Washington, Box 358062, 750 Republican Street, Seattle, WA 98109, USA. jenka@u.washington.edu.
Leela GoodspeedDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington Medicine Diabetes Institute, University of Washington, Box 358062, 750 Republican Street, Seattle, WA 98109, USA. leelag@u.washington.edu.
Shari WangDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington Medicine Diabetes Institute, University of Washington, Box 358062, 750 Republican Street, Seattle, WA 98109, USA. sawang@u.washington.edu.
Farah KramerDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington Medicine Diabetes Institute, University of Washington, Box 358062, 750 Republican Street, Seattle, WA 98109, USA. fkramer@u.washington.edu.
Tomasz WietechaDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington Medicine Diabetes Institute, University of Washington, Box 358062, 750 Republican Street, Seattle, WA 98109, USA. tomaszw@u.washington.edu.
Diego Gomes-KjerulfDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington Medicine Diabetes Institute, University of Washington, Box 358062, 750 Republican Street, Seattle, WA 98109, USA. gkjerulf@u.washington.edu.
Savitha SubramanianDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington Medicine Diabetes Institute, University of Washington, Box 358062, 750 Republican Street, Seattle, WA 98109, USA. ssubrama@u.washington.edu.
Kevin D O'BrienDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington Medicine Diabetes Institute, University of Washington, Box 358062, 750 Republican Street, Seattle, WA 98109, USA. cardiac@u.washington.edu.
Laura J den HartighDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington Medicine Diabetes Institute, University of Washington, Box 358062, 750 Republican Street, Seattle, WA 98109, USA. lauradh@u.washington.edu.
University of Washington · US

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
Role of Serum Amyloid A in Diabetic Vascular DiseaseP01HL092969 · NHLBI · UNIVERSITY OF WASHINGTON · PI BORNFELDT, KARIN E. · 2008 to 2019
$23.5M
National Institutes of Health AT007177, HL092969, DK035816, DK017047, DK097153NHLBI NIH HHS P01 HL092969NIDDK NIH HHS P30 DK017047
6 · The paper itself

Abstract

The dietary fatty acid 10,12 conjugated linoleic acid (10,12 CLA) promotes weight loss by increasing fat oxidation, but its effects on atherosclerosis are less clear. We recently showed that weight loss induced by 10,12 CLA in an atherosclerosis-susceptible mouse model with characteristics similar to human metabolic syndrome is accompanied by accumulation of alternatively activated macrophages within subcutaneous adipose tissue. The objective of this study was to evaluate whether 10,12 CLA-mediated weight loss was associated with an atheroprotective phenotype. Male low-density lipoprotein receptor deficient (Ldlr

Indexed as

Adipose TissueAnimalsAtherosclerosisCaloric RestrictionDietary SucroseDietary SupplementsDiet, High-FatLinoleic Acids, ConjugatedMacrophage ActivationMacrophagesMaleMiceMice, KnockoutObesityReceptors, LDLWeight LossDietary SucroseLinoleic Acids, ConjugatedReceptors, LDLalternatively activated macrophagesperivascular adipose tissuetype 2 cytokines

Identifiers

PMID30282904
PMCPMC6213611
OpenAlexW2895494467

What OpenQuestion 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 OpenQuestion graph.