Evidence map›Paper›PMID 31669422›Full record

ArticleBiochimica et biophysica acta. Molecular basis of disease2020

Differential metabolic and multi-tissue transcriptomic responses to fructose consumption among genetically diverse mice.

Guanglin Zhang, Hyae Ran Byun, Zhe Ying, Montgomery Blencowe, Yuqi Zhao, Jason Hong, Le Shu, Karthick Chella Krishnan, Fernando Gomez-Pinilla, Xia Yang

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biochimica et biophysica acta. Molecular basis of disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

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

  1. Pooled it
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  7. Differential effects of acute versus chronic dietary fructose consumption on metabolic responses in FVB/N mice.American journal of physiology. Regulatory, integrative and comparative physiology · 2022
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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

10 authors at 2 institutions in 1 country.

Guanglin ZhangDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095, USA.
Hyae Ran ByunDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095, USA.
Zhe YingDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095, USA.
Montgomery BlencoweDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095, USA.
Yuqi ZhaoDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095, USA.
Jason HongDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095, USA.
Le ShuDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095, USA.
Karthick Chella KrishnanDepartment of Medicine/Division of Cardiology and Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA.
Fernando Gomez-PinillaDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095, USA; Department of Neurosurgery, UCLA Brain Injury Research Center, University of California, Los Angeles, Los Angeles, California 90095, USA. Electronic address: fgomezpi@ucla.edu.
Xia YangDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095, USA; Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, California 90095, USA; Molecular Biology Institute, University of California, Los Angeles, Los Angeles, California 90095, USA. Electronic address: xyang123@ucla.edu.
University of California, Los Angeles · USQB3 · US

Funding

Restoration of Homeostasis After Brain TraumaR01NS050465 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GOMEZ-PINILLA, FERNANDO · 2005 to 2019
$5.5M
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic SyndromeR01DK104363 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, XIA · 2015 to 2019
$2.4M
Cell-specific novel genomic biomarkers of TBI pathologyR21NS103088 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GOMEZ-PINILLA, FERNANDO, YANG, XIA · 2017 to 2018
$406k
NIDDK NIH HHS R01 DK104363NINDS NIH HHS R01 NS050465NINDS NIH HHS R21 NS103088
6 · The paper itself

Abstract

Understanding how individuals react differently to the same treatment is a major concern in precision medicine. Metabolic challenges such as the one posed by high fructose intake are important determinants of disease mechanisms. We embarked on studies to determine how fructose affects differential metabolic dysfunctions across genetically dissimilar mice, namely, C57BL/6 J (B6), DBA/2 J (DBA) and FVB/NJ (FVB), by integrating physiological and gene regulatory mechanisms. We report that fructose has strain-specific effects, involving tissue-specific gene regulatory cascades in hypothalamus, liver, and white adipose tissues. DBA mice showed the largest numbers of genes associated with adiposity, congruent with their highest susceptibility to adiposity gain and glucose intolerance across the three tissues. In contrast, B6 and FVB mainly exhibited cholesterol phenotypes, accompanying the largest number of adipose genes correlating with total cholesterol in B6, and liver genes correlating with LDL in FVB mice. Tissue-specific network modeling predicted strain-and tissue-specific regulators such as Fgf21 (DBA) and Lss (B6), which were subsequently validated in primary hepatocytes. Strain-specific fructose-responsive genes revealed susceptibility for human diseases such that genes in liver and adipose tissue in DBA showed strong enrichment for human type 2 diabetes and obesity traits. Liver and adipose genes in FVB were mostly related to lipid traits, and liver and adipose genes in B6 showed relevance to most cardiometabolic traits tested. Our results show that fructose induces gene regulatory pathways that are tissue specific and dependent on the genetic make-up, which may underlie interindividual variability in cardiometabolic responses to high fructose consumption.

Indexed as

Adipose TissueAdiposityAnimalsDiabetes Mellitus, Type 2FructoseGlucose IntoleranceHepatocytesInsulin ResistanceLiverMaleMiceMice, Inbred DBAObesityTranscriptomeFructoseFructoseInsulin resistanceMetabolic syndromeObesityPersonalized nutritionTranscriptome

Identifiers

PMID31669422
PMCPMC6993985
OpenAlexW2981892954

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.