Evidence map›Paper›PMID 36748836›Full record

ArticleJournal of molecular endocrinology2023

Knockout of murine Lyplal1 confers sex-specific protection against diet-induced obesity.

Rishel B Vohnoutka, Annapurna Kuppa, Yash Hegde, Yue Chen, Asmita Pant, Maurice E Tohme, Eun-Young Karen Choi, Sean M McCarty, Devika P Bagchi, Xiaomeng Du and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

20 authors at 2 institutions in 1 country.

Rishel B VohnoutkaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Annapurna KuppaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Yash HegdeDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Yue ChenDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Asmita PantDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Maurice E TohmeDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Eun-Young Karen ChoiDepartment of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
Sean M McCartyDepartment of Medicinal Chemistry, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.
Devika P BagchiDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, USA.
Xiaomeng DuDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Yanhua ChenDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Vincent L ChenDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Hiroyuki MoriDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, USA.
Lawrence F BielakDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Lillias H MaguireHospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Samuel K HandelmanDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Jonathan Z SextonDepartment of Medicinal Chemistry, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.
Thomas L SaundersUniversity of Michigan Transgenic Animal Model Core, Biomedical Research Core Facilities, Ann Arbor, Michigan, USA.
Brian D HalliganDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Elizabeth K SpeliotesDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-1002-4140
University of Michigan · USHospital of the University of Pennsylvania · US

Funding

PUBLIC HEALTH DEMONSTRATIONP60DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MYERS, MARTIN G · 1985 to 2012
$26.5M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Kanakadurga Singer · 2010 to 2026
$20.3M
Michigan Mouse Metabolic Phenotyping CenterU2CDK110768 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELIAS, CAROL FUZETI · 2016 to 2021
$6.2M
Human population based genetic studies to elucidate the biology of NAFLDR01DK107904 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2016 to 2020
$3.4M
Identification and functional impact of NAFLD associated genetic variantsR01DK106621 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2015 to 2019
$3.3M
Integrative Polygenic Genetic Studies of Non-alcoholic Fatty Liver DiseaseR01DK131787 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2022 to 2025
$2.7M
Identification and Characterization of Loci Associated with Non-alcoholic Fatty Liver DiseaseR01DK128871 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ALLRED, NICHOLETTE D., SPELIOTES, ELIZABETH K · 2021 to 2024
$2.6M
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK089503NIDDK NIH HHS P60 DK020572NIDDK NIH HHS R01 DK106621NIDDK NIH HHS R01 DK107904NIDDK NIH HHS R01 DK128871NIDDK NIH HHS R01 DK131787NIDDK NIH HHS U2C DK110768
6 · The paper itself

Abstract

Human genome-wide association studies found single-nucleotide polymorphisms (SNPs) near LYPLAL1 (Lysophospholipase-like protein 1) that have sex-specific effects on fat distribution and metabolic traits. To determine whether altering LYPLAL1 affects obesity and metabolic disease, we created and characterized a mouse knockout (KO) of Lyplal1. We fed the experimental group of mice a high-fat, high-sucrose (HFHS) diet for 23 weeks, and the controls were fed regular chow diet. Here, we show that CRISPR-Cas9 whole-body Lyplal1 KO mice fed an HFHS diet showed sex-specific differences in weight gain and fat accumulation as compared to chow diet. Female, not male, KO mice weighed less than WT mice, had reduced body fat percentage, had white fat mass, and had adipocyte diameter not accounted for by changes in the metabolic rate. Female, but not male, KO mice had increased serum triglycerides, decreased aspartate, and decreased alanine aminotransferase. Lyplal1 KO mice of both sexes have reduced liver triglycerides and steatosis. These diet-specific effects resemble the effects of SNPs near LYPLAL1 in humans, suggesting that LYPLAL1 has an evolutionary conserved sex-specific effect on adiposity. This murine model can be used to study this novel gene-by-sex-by-diet interaction to elucidate the metabolic effects of LYPLAL1 on human obesity.

Indexed as

Genome-Wide Association StudyLysophospholipaseObesityAnimalsDiet, High-FatFemaleHumansMaleMiceMice, Inbred C57BLMice, KnockoutTriglyceridesLysophospholipaseTriglyceridesadiposediet-induced obesitysex-based phenotypesteatosis

Identifiers

PMID36748836
PMCPMC10947332
OpenAlexW4319333117

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.