Evidence map›Paper›PMID 29270816›Full record

ArticleDiabetologia2018

Arctic berry extracts target the gut-liver axis to alleviate metabolic endotoxaemia, insulin resistance and hepatic steatosis in diet-induced obese mice.

Fernando F Anhê, Thibault V Varin, Mélanie Le Barz, Geneviève Pilon, Stéphanie Dudonné, Jocelyn Trottier, Philippe St-Pierre, Cory S Harris, Michel Lucas, Mélanie Lemire and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
6.0field-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

45 citing papers in PubMed, 94 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Proanthocyanidin-Rich Cranberry Extract Lowers Glycemia in Established Obesity by Delaying Glucose Absorption.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Alaska's Flora as a Treatment for Cancer.International journal of biopharmaceutical sciences · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Nutrients · 2023
    Review
  15. Review
  16. Article
  17. Function ofFrontiers in microbiology · 2023
    Review
  18. Review
  19. Cloudberry (Nutrients · 2022
    Article
  20. Review
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

15 authors at 3 institutions in 1 country.

Fernando F AnhêDepartment of Medicine, Faculty of Medicine, Cardiology Axis of the Québec Heart and Lung Institute, Laval University, Bureau Y4340, Québec City, QC, G1V 4G5, Canada.
Thibault V VarinInstitute of Nutrition and Functional Foods, Laval University, Québec City, QC, Canada.
Mélanie Le BarzDepartment of Medicine, Faculty of Medicine, Cardiology Axis of the Québec Heart and Lung Institute, Laval University, Bureau Y4340, Québec City, QC, G1V 4G5, Canada.
Geneviève PilonDepartment of Medicine, Faculty of Medicine, Cardiology Axis of the Québec Heart and Lung Institute, Laval University, Bureau Y4340, Québec City, QC, G1V 4G5, Canada.
Stéphanie DudonnéInstitute of Nutrition and Functional Foods, Laval University, Québec City, QC, Canada.
Jocelyn TrottierLaboratory of Molecular Pharmacology, CHU-Québec Research Centre, Laval University, Québec City, QC, Canada.
Philippe St-PierreDepartment of Medicine, Faculty of Medicine, Cardiology Axis of the Québec Heart and Lung Institute, Laval University, Bureau Y4340, Québec City, QC, G1V 4G5, Canada.
Cory S HarrisDepartment of Biology, University of Ottawa, Ottawa, ON, Canada.
Michel LucasPopulations Health and Optimal Health Practices Axis of the CHU-Québec Research Centre, Department of Social and Preventive Medicine, Laval University, Québec City, QC, Canada.
Mélanie LemirePopulations Health and Optimal Health Practices Axis of the CHU-Québec Research Centre, Department of Social and Preventive Medicine, Laval University, Québec City, QC, Canada.
Éric DewaillyPopulations Health and Optimal Health Practices Axis of the CHU-Québec Research Centre, Department of Social and Preventive Medicine, Laval University, Québec City, QC, Canada.
Olivier BarbierLaboratory of Molecular Pharmacology, CHU-Québec Research Centre, Laval University, Québec City, QC, Canada.
Yves DesjardinsInstitute of Nutrition and Functional Foods, Laval University, Québec City, QC, Canada.
Denis RoyInstitute of Nutrition and Functional Foods, Laval University, Québec City, QC, Canada.
André MaretteDepartment of Medicine, Faculty of Medicine, Cardiology Axis of the Québec Heart and Lung Institute, Laval University, Bureau Y4340, Québec City, QC, G1V 4G5, Canada. andre.marette@criucpq.ulaval.ca.
Université Laval · CAQuebec Research and Development CentreUniversity of Ottawa · CA

Funding

Institute of Nutrition, Metabolism and Diabetes FDN-143247
6 · The paper itself

Abstract

aims/hypothesisThere is growing evidence that fruit polyphenols exert beneficial effects on the metabolic syndrome, but the underlying mechanisms remain poorly understood. In the present study, we aimed to analyse the effects of polyphenolic extracts from five types of Arctic berries in a model of diet-induced obesity.

methodsMale C57BL/6 J mice were fed a high-fat/high-sucrose (HFHS) diet and orally treated with extracts of bog blueberry (BBE), cloudberry (CLE), crowberry (CRE), alpine bearberry (ABE), lingonberry (LGE) or vehicle (HFHS) for 8 weeks. An additional group of standard-chow-fed, vehicle-treated mice was included as a reference control for diet-induced obesity. OGTTs and insulin tolerance tests were conducted, and both plasma insulin and C-peptide were assessed throughout the OGTT. Quantitative PCR, western blot analysis and ELISAs were used to assess enterohepatic immunometabolic features. Faecal DNA was extracted and 16S rRNA gene-based analysis was used to profile the gut microbiota.

resultsTreatment with CLE, ABE and LGE, but not with BBE or CRE, prevented both fasting hyperinsulinaemia (mean ± SEM [pmol/l]: chow 67.2 ± 12.3, HFHS 153.9 ± 19.3, BBE 114.4 ± 14.3, CLE 82.5 ± 13.0, CRE 152.3 ± 24.4, ABE 90.6 ± 18.0, LGE 95.4 ± 10.5) and postprandial hyperinsulinaemia (mean ± SEM AUC [pmol/l × min]: chow 14.3 ± 1.4, HFHS 31.4 ± 3.1, BBE 27.2 ± 4.0, CLE 17.7 ± 2.2, CRE 32.6 ± 6.3, ABE 22.7 ± 18.0, LGE 23.9 ± 2.5). None of the berry extracts affected C-peptide levels or body weight gain. Levels of hepatic serine phosphorylated Akt were 1.6-, 1.5- and 1.2-fold higher with CLE, ABE and LGE treatment, respectively, and hepatic carcinoembryonic antigen-related cell adhesion molecule (CEACAM)-1 tyrosine phosphorylation was 0.6-, 0.7- and 0.9-fold increased in these mice vs vehicle-treated, HFHS-fed mice. These changes were associated with reduced liver triacylglycerol deposition, lower circulating endotoxins, alleviated hepatic and intestinal inflammation, and major gut microbial alterations (e.g. bloom of Akkermansia muciniphila, Turicibacter and Oscillibacter) in CLE-, ABE- and LGE-treated mice. CONCLUSIONS/

interpretationOur findings reveal novel mechanisms by which polyphenolic extracts from ABE, LGE and especially CLE target the gut-liver axis to protect diet-induced obese mice against metabolic endotoxaemia, insulin resistance and hepatic steatosis, which importantly improves hepatic insulin clearance. These results support the potential benefits of these Arctic berries and their integration into health programmes to help attenuate obesity-related chronic inflammation and metabolic disorders. DATA AVAILABILITY: All raw sequences have been deposited in the public European Nucleotide Archive server under accession number PRJEB19783 ( https://www.ebi.ac.uk/ena/data/view/PRJEB19783 ).

Indexed as

Insulin ResistanceAnimalsC-PeptideDiet, High-FatEndotoxemiaFatty LiverFruitGlucoseHomeostasisInsulinIntestinesLiverMaleMiceMice, Inbred C57BLMice, ObeseC-PeptideGlucoseInsulinPlant ExtractsRNA, Ribosomal, 16SAkkermansia muciniphilaArctic berriesCEACAM-1Gut microbiotaInsulin clearance

Identifiers

PMID29270816
OpenAlexW2780036753

What OpenQuestion holds

Textmetadata
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.