Evidence map›Paper›PMID 30910689›Full record

ArticleBiochimica et biophysica acta. Molecular and cell biology of lipids2019

Effect of liver fatty acid binding protein (L-FABP) gene ablation on lipid metabolism in high glucose diet (HGD) pair-fed mice.

Avery L McIntosh, Barbara P Atshaves, Gregory G Martin, Danilo Landrock, Sherrelle Milligan, Kerstin K Landrock, Huan Huang, Stephen M Storey, John Mackie, Friedhelm Schroeder and 1 more

Open access · greenAbstract read
In one paragraph

Article in Biochimica et biophysica acta. Molecular and cell biology of lipids, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  6. Hepatotoxic Components Effect ofMolecules (Basel, Switzerland) · 2023
    Article
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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

11 authors at 2 institutions in 1 country.

Avery L McIntoshDepartment of Physiology and Pharmacology, Texas A&M University, TVMC, College Station, TX 77843, United States of America.
Barbara P AtshavesDepartment of Biochemistry & Molecular Biology, Michigan State University, East Lansing, MI 48824, United States of America.
Gregory G MartinDepartment of Physiology and Pharmacology, Texas A&M University, TVMC, College Station, TX 77843, United States of America.
Danilo LandrockDepartment of Pathobiology, Texas A&M University, TVMC, College Station, TX 77843, United States of America.
Sherrelle MilliganDepartment of Pathobiology, Texas A&M University, TVMC, College Station, TX 77843, United States of America.
Kerstin K LandrockDepartment of Physiology and Pharmacology, Texas A&M University, TVMC, College Station, TX 77843, United States of America.
Huan HuangDepartment of Physiology and Pharmacology, Texas A&M University, TVMC, College Station, TX 77843, United States of America.
Stephen M StoreyDepartment of Physiology and Pharmacology, Texas A&M University, TVMC, College Station, TX 77843, United States of America.
John MackieDepartment of Pathobiology, Texas A&M University, TVMC, College Station, TX 77843, United States of America.
Friedhelm SchroederDepartment of Physiology and Pharmacology, Texas A&M University, TVMC, College Station, TX 77843, United States of America.
Ann B KierDepartment of Pathobiology, Texas A&M University, TVMC, College Station, TX 77843, United States of America. Electronic address: akier@cvm.tamu.edu.
Texas A&M University · USMichigan State University · US

Funding

FATTY ACID BINDING PROTEINS-LIGAND SPECIFICITYR01DK041402 · NIDDK · UNIVERSITY OF CINCINNATI · PI SCHROEDER, FRIEDHELM · 1989 to 2010
$4.4M
Veterinary Student Research TrainingT35OD010991 · OD · TEXAS A&M AGRILIFE RESEARCH · PI GADDY, DANA · 2012 to 2025
$920k
Research Education Program for Laboratory Animal Medicine VeterinariansR25OD016574 · OD · TEXAS A&M UNIVERSITY · PI KIER, ANN B. · 2013 to 2016
$578k
NIDDK NIH HHS R01 DK041402NIH HHS R25 OD016574NIH HHS T35 OD010991
6 · The paper itself

Abstract

Liver fatty acid binding protein (L-FABP) is the major fatty acid binding/"chaperone" protein in hepatic cytosol. Although fatty acids can be derived from the breakdown of dietary fat and glucose, relatively little is known regarding the impact of L-FABP on phenotype in the context of high dietary glucose. Potential impact was examined in wild-type (WT) and Lfabp gene ablated (LKO) female mice fed either a control or pair-fed high glucose diet (HGD). WT mice fed HGD alone exhibited decreased whole body weight gain and weight gain/kcal food consumed-both as reduced lean tissue mass (LTM) and fat tissue mass (FTM). Conversely, LKO alone increased weight gain, lean tissue mass, and fat tissue mass while decreasing serum β-hydroxybutyrate (indicative of hepatic fatty acid oxidation)-regardless of diet. Both LKO alone and HGD alone significantly altered the serum lipoprotein profile and increased triacylglycerol (TG), but in HGD mice the LKO did not further exacerbate serum TG content. HGD had little effect on hepatic lipid composition in WT mice, but prevented the LKO-induced selective increase in hepatic phospholipid, free-cholesterol and cholesteryl-ester. Taken together, these findings suggest that high glucose diet diminished the effects of LKO on the whole body and lipid phenotype of these mice.

Indexed as

Lipid MetabolismAnimalsCholesterolDietFatty Acid-Binding ProteinsFemaleGlucoseLiverMicePhospholipidsTriglyceridesWeight GainCholesterolFatty Acid-Binding ProteinsGlucosePhospholipidsTriglyceridesFatty acid binding proteinFructoseGlucoseLiver

Identifiers

PMID30910689
PMCPMC6482111
OpenAlexW2930836261

What OpenQuestion holds

Textmetadata
LicenceTDM
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.