Evidence map›Paper›PMID 42360884›Full record

ArticleSTAR protocols2026

A protocol for noninvasive quantification of dietary fat absorption in mice.

Alvin P Chan, Kelsey E Jarrett, Rochelle W Lai, Bethan L Clifford, Kevin J Williams, Elizabeth J Tarling, Thomas Q de Aguiar Vallim

Abstract read
In one paragraph

Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Alvin P ChanDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Mattel Children's Hospital, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA. Electronic address: alvinchan@mednet.ucla.edu.
Kelsey E JarrettDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA.
Rochelle W LaiDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA.
Bethan L CliffordDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA.
Kevin J WilliamsDivision of Endocrinology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; UCLA Lipidomics Laboratory, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA.
Elizabeth J TarlingDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Jonsson Comprehensive Cancer Center (JCCC), University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Molecular Biology Institute, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA.
Thomas Q de Aguiar VallimDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Jonsson Comprehensive Cancer Center (JCCC), University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Molecular Biology Institute, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA. Electronic address: tvallim@mednet.ucla.edu.

Funding

UCLA Child Health Research Career Development AwardK12HD111040 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Sherin U Devaskar, Shafali Spurling Jeste · 2023 to 2026
$1.2M
NICHD NIH HHS K12 HD111040
6 · The paper itself

Abstract

Dietary fat absorption is a key determinant of energy balance, yet standard techniques to measure fat absorption are often invasive or challenging. Here, we present a protocol to non-invasively quantify intestinal fat absorption in mice during physiological feeding. We describe steps for preparing a diet containing a nonabsorbable lipid tracer and calculating fat absorption from fecal samples using gas chromatography-mass spectrometry (GC-MS), alongside complementary approaches for measuring fecal energy loss by oxygen bomb calorimetry and fecal fatty acid composition by GC-MS. For complete details on the use and execution of this protocol, please refer to Chan et al.

Indexed as

Cell BiologyMetabolismMolecular Biology

Identifiers

PMID42360884
PMCPMC13333356

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.