Evidence map›Paper›PMID 34069635›Full record

ArticleNutrients2021

Exploratory Data Analysis of Cell and Mitochondrial High-Fat, High-Sugar Toxicity on Human HepG2 Cells.

Ricardo Amorim, Inês C M Simões, Caroline Veloso, Adriana Carvalho, Rui F Simões, Francisco B Pereira, Theresa Thiel, Andrea Normann, Catarina Morais, Amália S Jurado and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2021. 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
2.0field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. miRNA-642a-3p protects β cells from glucolipotoxicity.Molecular therapy. Nucleic acids · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Nutrients · 2023
    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

13 authors at 5 institutions in 2 countries.

Ricardo AmorimCNC-Center for Neuroscience and Cell Biology, CIBB-Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, UC-Biotech, Biocant Park, 3060-197 Cantanhede, Portugal.
Inês C M SimõesLaboratory of Mitochondrial Biology and Metabolism, Nencki Institute of Experimental Biology of Polish Academy of Sciences, 02-093 Warsaw, Poland.ORCID 0000-0002-9701-9431
Caroline VelosoCNC-Center for Neuroscience and Cell Biology, CIBB-Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, UC-Biotech, Biocant Park, 3060-197 Cantanhede, Portugal.ORCID 0000-0002-9355-2685
Adriana CarvalhoCNC-Center for Neuroscience and Cell Biology, CIBB-Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, UC-Biotech, Biocant Park, 3060-197 Cantanhede, Portugal.
Rui F SimõesCNC-Center for Neuroscience and Cell Biology, CIBB-Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, UC-Biotech, Biocant Park, 3060-197 Cantanhede, Portugal.
Francisco B PereiraCenter for Informatics and Systems, University of Coimbra, Polo II, Pinhal de Marrocos, 3030-290 Coimbra, Portugal.
Theresa ThielMediagnostic, D-72770 Reutlingen, Germany.
Andrea NormannMediagnostic, D-72770 Reutlingen, Germany.
Catarina MoraisCenter for Neuroscience and Cell Biology, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456 Coimbra, Portugal.
Amália S JuradoCenter for Neuroscience and Cell Biology, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456 Coimbra, Portugal.
Mariusz R WieckowskiLaboratory of Mitochondrial Biology and Metabolism, Nencki Institute of Experimental Biology of Polish Academy of Sciences, 02-093 Warsaw, Poland.
José TeixeiraCNC-Center for Neuroscience and Cell Biology, CIBB-Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, UC-Biotech, Biocant Park, 3060-197 Cantanhede, Portugal.ORCID 0000-0003-0834-5698
Paulo J OliveiraCNC-Center for Neuroscience and Cell Biology, CIBB-Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, UC-Biotech, Biocant Park, 3060-197 Cantanhede, Portugal.ORCID 0000-0002-5201-9948
Biocant · PTInstytut Biologii Doświadczalnej im. Marcelego Nenckiego · PLUniversidade do Porto · PTUniversity of Coimbra · PTPolytechnic Institute of Coimbra · PT

Funding

Fundação para a Ciência e Tecnologia (FCT) PTDC/BTM-SAL/29297/2017, POCI-01-0145-FEDER-029297, PTDC/DTP-FTO/2433/2014, POCI-01-0145-FEDER-016659, PTDC/BIA-MOL/28607/2017, POCI-01-0145-FEDER-028607, POCI-01-0145-FEDER-006980, NORTE-01-0145-FEDER-000028, PTDC/ASP-HOR/29152/2017, POCI-01-0145-FEDER-0H2020 Marie Skłodowska-Curie Actions 722619, 734719Narodowe Centrum Nauki UMO-2018/29/B/NZ1/00589
6 · The paper itself

Abstract

Non-alcoholic steatohepatitis (NASH), one of the deleterious stages of non-alcoholic fatty liver disease, remains a significant cause of liver-related morbidity and mortality worldwide. In the current work, we used an exploratory data analysis to investigate time-dependent cellular and mitochondrial effects of different supra-physiological fatty acids (FA) overload strategies, in the presence or absence of fructose (F), on human hepatoma-derived HepG2 cells. We measured intracellular neutral lipid content and reactive oxygen species (ROS) levels, mitochondrial respiration and morphology, and caspases activity and cell death. FA-treatments induced a time-dependent increase in neutral lipid content, which was paralleled by an increase in ROS. Fructose, by itself, did not increase intracellular lipid content nor aggravated the effects of palmitic acid (PA) or free fatty acids mixture (FFA), although it led to an up-expression of hepatic fructokinase. Instead, F decreased mitochondrial phospholipid content, as well as OXPHOS subunits levels. Increased lipid accumulation and ROS in FA-treatments preceded mitochondrial dysfunction, comprising altered mitochondrial membrane potential (ΔΨm) and morphology, and decreased oxygen consumption rates, especially with PA. Consequently, supra-physiological PA alone or combined with F prompted the activation of caspase pathways leading to a time-dependent decrease in cell viability. Exploratory data analysis methods support this conclusion by clearly identifying the effects of FA treatments. In fact, unsupervised learning algorithms created homogeneous and cohesive clusters, with a clear separation between PA and FFA treated samples to identify a minimal subset of critical mitochondrial markers in order to attain a feasible model to predict cell death in NAFLD or for high throughput screening of possible therapeutic agents, with particular focus in measuring mitochondrial function.

Indexed as

Carcinoma, HepatocellularCell DeathData AnalysisDietary CarbohydratesDiet, High-FatFatty AcidsFatty Acids, NonesterifiedFructoseHepatocytesHep G2 CellsHumansLipid MetabolismLiverLiver NeoplasmsMitochondriaNon-alcoholic Fatty Liver DiseaseDietary CarbohydratesFatty AcidsFatty Acids, NonesterifiedFructosePalmitic AcidReactive Oxygen SpeciesSugarsexploratory data analysisHepg2 cellsin vitro cell modellipid accumulationmitochondria dys(function)non-alcoholic fatty liver disease (NAFLD)

Identifiers

PMID34069635
PMCPMC8161147
OpenAlexW3161921875

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.