Evidence mapPaperPMID 37996653Full record

ArticleJournal of physiology and biochemistry2024

Isoliquiritigenin in combination with visceral adipose tissue and related markers as a predictive tool for nonalcoholic fatty liver disease.

Paola Mogna-Peláez, Ana Romo-Hualde, José I Riezu-Boj, Fermin I Milagro, David Muñoz-Prieto, José I Herrero, Mariana Elorz, Alberto Benito-Boillos, J Ignacio Monreal, Josep A Tur and 3 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Journal of physiology and biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03183193 (Non-alcoholic Fatty Liver Disease), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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.

NCT03183193 naunknown statusnot on this map

Non-alcoholic Fatty Liver Disease (NAFLD) in Overweight and Obese People Under Nutritional and Lifestyle Follow-up: a Randomized Controlled Trial

TypeinterventionalSponsorClinica Universidad de Navarra, Universidad de NavarraRan2016 to 2019Enrolled120ConditionsNon-Alcoholic Fatty Liver Disease, Obese, OverweightArmsControl diet, FLiO diet
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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.

Paola Mogna-PeláezDepartment of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain.
Ana Romo-HualdeDepartment of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain.
José I Riezu-BojDepartment of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain.
Fermin I MilagroDepartment of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain.
David Muñoz-PrietoDepartment of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain.
José I HerreroNavarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain.
Mariana ElorzNavarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain.
Alberto Benito-BoillosNavarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain.
J Ignacio MonrealClinical Chemistry Department, Clínica Universidad de Navarra, 31008, Pamplona, Spain.
Josep A TurBiomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
Alfredo MartínezDepartment of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain.
Itziar Abete *Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain.
M Angeles Zulet *Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain. mazulet@unav.es.ORCID http://orcid.org/0000-0002-3926-0892
Instituto de Salud Carlos III · ESUniversidad de Navarra · ESNavarre Institute of Health Research · ESCentre for Biomedical Network Research on Rare Diseases · ESClinica Universidad de Navarra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) is the most prevalent form of chronic liver disease in the world. New non-invasive diagnostic tools are needed to promptly treat this disease and avoid its complications. This study aimed to find key metabolites and related variables that could be used to predict and diagnose NAFLD. Ninety-eight subjects with NAFLD and 45 controls from the Fatty Liver in Obesity (FLiO) Study (NCT03183193) were analyzed. NAFLD was diagnosed and graded by ultrasound and classified into two groups: 0 (controls) and ≥ 1 (NAFLD). Hepatic status was additionally assessed through magnetic resonance imaging (MRI), elastography, and determination of transaminases. Anthropometry, body composition (DXA), biochemical parameters, and lifestyle factors were evaluated as well. Non-targeted metabolomics of serum was performed with high-performance liquid chromatography coupled to time-of-flight mass spectrometry (HPLC-TOF-MS). Isoliquiritigenin (ISO) had the strongest association with NAFLD out of the determinant metabolites. Individuals with higher concentrations of ISO had healthier metabolic and hepatic status and were less likely to have NAFLD (OR 0.13). Receiver operating characteristic (ROC) curves demonstrated the predictive power of ISO in panel combination with other NAFLD and IR-related variables, such as visceral adipose tissue (VAT) (AUROC 0.972), adiponectin (AUROC 0.917), plasmatic glucose (AUROC 0.817), and CK18-M30 (AUROC 0.810). Individuals with lower levels of ISO have from 71 to 82% more risk of presenting NAFLD compared to individuals with higher levels. Metabolites such as ISO, in combination with visceral adipose tissue, IR, and related markers, constitute a potential non-invasive tool to predict and diagnose NAFLD.

Indexed as

BiomarkersChalconesIntra-Abdominal FatNon-alcoholic Fatty Liver DiseaseAdultCase-Control StudiesElasticity Imaging TechniquesFemaleHumansMaleMiddle AgedObesityRandomized Controlled Trials as TopicBiomarkersChalconesisoliquiritigeninInsulin resistanceIsoliquiritigeninMetabolomicsNonalcoholic fatty liver diseaseVisceral adipose tissue

Identifiers

PMID37996653
PMCPMC11502611
OpenAlexW4388961694

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.