Evidence map›Paper›PMID 37230214›Full record

ArticleMetabolism: clinical and experimental2023

Fructose induced KHK-C can increase ER stress independent of its effect on lipogenesis to drive liver disease in diet-induced and genetic models of NAFLD.

Se-Hyung Park, Robert N Helsley, Taghreed Fadhul, Jennifer L S Willoughby, Leila Noetzli, Ho-Chou Tu, Marie H Solheim, Shiho Fujisaka, Hui Pan, Jonathan M Dreyfuss and 13 more

Open access · greenAbstract read
In one paragraph

Article in Metabolism: clinical and experimental, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Beyond fructolysis: ketohexokinase orchestrates ER proteostasis in nutrient-stressed hepatocytes.American journal of physiology. Gastrointestinal and liver physiology · 2025
    Article
  5. Fructose induces inflammatory activation in macrophages and microglia through the nutrient-sensing ghrelin receptor.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 8 institutions in 3 countries.

Se-Hyung ParkDepartment of Pediatrics, Division of Pediatric Gastroenterology, University of Kentucky College of Medicine, Lexington, KY 40536, USA.
Robert N HelsleyDepartment of Pediatrics, Division of Pediatric Gastroenterology, University of Kentucky College of Medicine, Lexington, KY 40536, USA.
Taghreed FadhulDepartment of Pediatrics, Division of Pediatric Gastroenterology, University of Kentucky College of Medicine, Lexington, KY 40536, USA.
Jennifer L S WilloughbyAlnylam Pharmaceuticals Inc., Cambridge, MA 02142, USA.
Leila NoetzliAlnylam Pharmaceuticals Inc., Cambridge, MA 02142, USA.
Ho-Chou TuAlnylam Pharmaceuticals Inc., Cambridge, MA 02142, USA.
Marie H SolheimSection on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA; Department of Neuronal Control of Metabolism, Max Planck Institute for Metabolism Research, 50931 Cologne, Germany.
Shiho FujisakaSection on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA; First Department of Internal Medicine, University of Toyama, Toyama 930-0194, Japan.
Hui PanBioinformatics and Biostatistics Core, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Jonathan M DreyfussBioinformatics and Biostatistics Core, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Joanna BonsProteomics and Aging Center, Buck Institute for Research on Aging, Novato, CA 94945, USA.
Jacob RoseProteomics and Aging Center, Buck Institute for Research on Aging, Novato, CA 94945, USA.
Christina D KingProteomics and Aging Center, Buck Institute for Research on Aging, Novato, CA 94945, USA.
Birgit SchillingProteomics and Aging Center, Buck Institute for Research on Aging, Novato, CA 94945, USA.
Aldons J LusisDepartment of Medicine/Division of Cardiology, Department of Human Genetics, A2-237 Center for the Health Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
Calvin PanDepartment of Medicine/Division of Cardiology, Department of Human Genetics, A2-237 Center for the Health Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
Manoj GuptaSection of Islet Cell and Regenerative Biology, Joslin Diabetes Center, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02215, USA.
Rohit N KulkarniSection of Islet Cell and Regenerative Biology, Joslin Diabetes Center, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02215, USA.
Kevin FitzgeraldAlnylam Pharmaceuticals Inc., Cambridge, MA 02142, USA.
Philip A KernDepartment of Medicine, Division of Endocrinology, University of Kentucky College of Medicine, Lexington, KY 40536, USA.
Senad DivanovicDepartment of Pediatrics, University of Cincinnati College of Medicine, Division of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
C Ronald KahnSection on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA.
Samir SofticDepartment of Pediatrics, Division of Pediatric Gastroenterology, University of Kentucky College of Medicine, Lexington, KY 40536, USA; Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA; Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY 40536, USA. Electronic address: samir.softic@uky.edu.
Harvard University · USAlnylam Pharmaceuticals (United States) · USBuck Institute for Research on Aging · USUniversity of Kentucky · USUniversity of California, Los Angeles · USCincinnati Children's Hospital Medical Center · USJoslin Diabetes Center · USMax Planck Institute for Metabolism Research · DE

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
Pediatric Scientist Development Program (PSDP) [K12]K12HD000850 · NICHD · YALE UNIVERSITY · PI Sallie R. Permar · 1987 to 2026
$44.1M
Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
Role of IGF-1 and Insulin Receptors Beta-Cell SurvivalR01DK067536 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 2004 to 2026
$8.0M
Pilot Projects ProgramP30GM127211 · NIGMS · UNIVERSITY OF KENTUCKY · PI CASSIS, LISA A · 2018 to 2022
$5.7M
Immunopathogenesis of Non-alcoholic Fatty Liver DiseaseR01DK099222 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Senad Divanovic · 2013 to 2026
$5.6M
Systems Genetics Dissection of Non-alcoholic SteatohepatitisR01DK117850 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Aldons Jake Lusis · 2019 to 2026
$4.6M
The Insulin Receptor and Its Signaling MechanismsR01DK031036 · NIDDK · JOSLIN DIABETES CENTER · PI C RONALD KAHN · 1986 to 2026
$4.2M
Systems genetics approach to inflammatory mechanisms in atherosclerosisR01HL147883 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 2019 to 2022
$3.0M
Alterations in Post-Receptor Insulin Signaling in Diabetes and Insulin ResistanceR01DK128429 · NIDDK · JOSLIN DIABETES CENTER · PI KAHN, C RONALD · 2021 to 2025
$2.9M
Interaction between genes, environment, the microbiome and metabolome in type 2 diabetes and metabolic syndromeR01DK121967 · NIDDK · JOSLIN DIABETES CENTER · PI KAHN, C RONALD · 2020 to 2024
$2.7M
Orbitrap Fusion Lumos ETD with FAIMS ProS10OD028654 · OD · BUCK INSTITUTE FOR RESEARCH ON AGING · PI SCHILLING, BIRGIT · 2020 to 2020
$1.1M
NCATS NIH HHS UL1 TR001998NHLBI NIH HHS R01 HL147883NICHD NIH HHS K12 HD000850NIDDK NIH HHS K01 DK128022NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK031036NIDDK NIH HHS R01 DK067536NIDDK NIH HHS R01 DK099222NIDDK NIH HHS R01 DK117850NIDDK NIH HHS R01 DK128429NIGMS NIH HHS P30 GM127211NIH HHS S10 OD028654
6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) is a liver manifestation of metabolic syndrome, and is estimated to affect one billion individuals worldwide. An increased intake of a high-fat diet (HFD) and sugar-sweetened beverages are risk-factors for NAFLD development, but how their combined intake promotes progression to a more severe form of liver injury is unknown. Here we show that fructose metabolism via ketohexokinase (KHK) C isoform leads to unresolved endoplasmic reticulum (ER) stress when coupled with a HFD intake. Conversely, a liver-specific knockdown of KHK in mice consuming fructose on a HFD is adequate to improve the NAFLD activity score and exert a profound effect on the hepatic transcriptome. Overexpression of KHK-C in cultured hepatocytes is sufficient to induce ER stress in fructose free media. Upregulation of KHK-C is also observed in mice with genetically induced obesity or metabolic dysfunction, whereas KHK knockdown in these mice improves metabolic function. Additionally, in over 100 inbred strains of male or female mice hepatic KHK expression correlates positively with adiposity, insulin resistance, and liver triglycerides. Similarly, in 241 human subjects and their controls, hepatic Khk expression is upregulated in early, but not late stages of NAFLD. In summary, we describe a novel role of KHK-C in triggering ER stress, which offers a mechanistic understanding of how the combined intake of fructose and a HFD propagates the development of metabolic complications.

Indexed as

Non-alcoholic Fatty Liver DiseaseAnimalsDiet, High-FatFemaleFructokinasesFructoseHumansLipogenesisLiverMaleMiceModels, GeneticObesityFructokinasesFructoseketohexokinaseER stressFructoseKetohexokinaseNAFLDSugar

Identifiers

PMID37230214
PMCPMC10752375
OpenAlexW4377826876

What OpenQuestion holds

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Registered trials

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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.