Evidence map›Paper›PMID 40349341›Full record

ArticleCell reports2025

Multitissue single-cell analysis reveals differential cellular and molecular sensitivity between fructose and high-fat high-sucrose diets.

Yen-Wei Chen, In Sook Ahn, Susanna Sue-Ming Wang, Sana Majid, Graciel Diamante, Ingrid Cely, Guanglin Zhang, Angelus Cabanayan, Sergey Komzyuk, Jack Bonnett and 2 more

Abstract read
In one paragraph

Article in Cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. D-Fructose Exposure Impairs Neuronal Development in Mouse Neural Stem Cells.International journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

12 authors.

Yen-Wei ChenDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA; Interdepartmental Program of Molecular Toxicology, University of California, Los Angeles, Los Angeles, CA, USA.
In Sook AhnDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Susanna Sue-Ming WangDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Sana MajidDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Graciel DiamanteDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Ingrid CelyDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA; Interdepartmental Program of Molecular Toxicology, University of California, Los Angeles, Los Angeles, CA, USA.
Guanglin ZhangDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Angelus CabanayanDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Sergey KomzyukDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Jack BonnettDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Douglas ArnesonDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA; Interdepartmental Program of Bioinformatics, University of California, Los Angeles, Los Angeles, CA, USA.
Xia YangDepartment of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA; Interdepartmental Program of Molecular Toxicology, University of California, Los Angeles, Los Angeles, CA, USA; Interdepartmental Program of Bioinformatics, University of California, Los Angeles, Los Angeles, CA, USA; Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA. Electronic address: xyang123@ucla.edu.

Funding

Systems Genetics Dissection of Non-alcoholic SteatohepatitisR01DK117850 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Aldons Jake Lusis · 2019 to 2026
$4.6M
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic SyndromeR01DK104363 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, XIA · 2015 to 2019
$2.4M
NIDDK NIH HHS R01 DK104363NIDDK NIH HHS R01 DK117850
6 · The paper itself

Abstract

Metabolic syndrome (MetS), a conglomerate of dysregulated metabolic traits that vary between individuals, is partially driven by modern diets high in fat, sucrose, or fructose and their interactions with host genes in metabolic tissues. To elucidate the roles of individual tissues and cell types in diet-induced MetS, we performed single-cell RNA sequencing on the hypothalamus, liver, adipose tissue, and small intestine of mice fed high-fat high-sucrose (HFHS) or fructose diets. We found that hypothalamic neurons were sensitive to fructose, while adipose progenitor cells and macrophages were responsive to HFHS. Ligand-receptor analysis revealed lipid metabolism and inflammation networks among peripheral tissues driven by HFHS, while both diets stimulated synaptic remodeling within the hypothalamus. mt-Rnr2, a top responder to both diets, mitigated diet-induced MetS by stimulating thermogenesis. Our study demonstrates that HFHS and fructose diets have differential cell type and network targets but also share regulators such as mt-Rnr2 to affect MetS risk.

Indexed as

Diet, High-FatFructoseMetabolic SyndromeSingle-Cell AnalysisSucroseAdipose TissueAnimalsHypothalamusLipid MetabolismLiverMacrophagesMaleMiceMice, Inbred C57BLNeuronsThermogenesisFructoseSucroseadipose stromal vascular fractionCP: Metabolismfructose diethigh-fat high-sucrose diethypothalamuslivermetabolic syndromesingle-cell RNA-seqsmall intestineSVFtissue crosstalk

Identifiers

PMID40349341
PMCPMC12182283

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.