Evidence map›Paper›PMID 40897824›Full record

ArticleScientific reports2025

A potential age-independent MASLD-related liver fibrosis index based on metabolic profiling.

Serena Zampieri, Greta Petrella, Elisa Nagni, Laura Micheli, Francesca Maiorca, Ludovica Lombardi, Marilena Carbone, Annamaria Sabetta, Marzia Miglionico, Marin Pecani and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Serena Zampieri *Department of Chemical Science and Technology, University of Rome "Tor Vergata", 00133, Rome, Italy.
Greta Petrella *Department of Chemical Science and Technology, University of Rome "Tor Vergata", 00133, Rome, Italy.
Elisa NagniDepartment of Chemical Science and Technology, University of Rome "Tor Vergata", 00133, Rome, Italy.
Laura MicheliDepartment of Chemical Science and Technology, University of Rome "Tor Vergata", 00133, Rome, Italy.
Francesca MaiorcaDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185, Rome, Italy.
Ludovica LombardiDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185, Rome, Italy.
Marilena CarboneDepartment of Chemical Science and Technology, University of Rome "Tor Vergata", 00133, Rome, Italy.
Annamaria SabettaDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185, Rome, Italy.
Marzia MiglionicoDepartment of Experimental Medicine, Sapienza University of Rome, 00185, Rome, Italy.
Marin PecaniDepartment of Experimental Medicine, Sapienza University of Rome, 00185, Rome, Italy.
Valeria RaparelliDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185, Rome, Italy.
Stefania BasiliDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185, Rome, Italy.
Lucia StefaniniDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185, Rome, Italy. lucia.stefanini@uniroma1.it.
Daniel Oscar CiceroDepartment of Chemical Science and Technology, University of Rome "Tor Vergata", 00133, Rome, Italy. cicero@scienze.uniroma2.it.
Precision Medicine Liver Group

Funding

Ministero dell'Università e della Ricerca 2022C7ZR3W
6 · The paper itself

Abstract

The burden of metabolic dysfunction-associated steatotic liver disease (MASLD) is of immediate concern, as its prevalence is increasing worldwide. MASLD often progresses to liver fibrosis, posing significant health risks. Age-independent, noninvasive tools to evaluate fibrosis are needed to improve diagnostic accuracy across all age groups. Eighty-four inflammatory, hematological, and metabolic variables were quantified in the blood of 63 individuals with MASLD, with varying degrees of fibrosis, and 22 age-matched controls. Linear regression models were used to identify markers strongly correlated with liver fibrosis that were not influenced by age. Logistic regression models were used to evaluate the ability of various indices to discriminate between no/mild and severe liver fibrosis. Glutamine and propionate levels were identified as strongly correlated with fibrosis but not with age and were combined to form the GP index. The GP index demonstrated superior predictive power for liver fibrosis compared to existing scores, like FIB-4 and FIB-3. The study introduces the GP index, a novel metabolite-based score for diagnosing and monitoring liver fibrosis in patients with MASLD, which demonstrated robust performance irrespective of patient age in this cohort. By excluding age-dependent markers, the GP index can potentially reduce false positives and improve diagnostic accuracy, particularly in older populations. The combination of glutamine and propionate in this index represents a novel approach, capturing both intrinsic hepatic metabolic changes and extrinsic influences from the gut microbiota, providing a simple yet effective solution for liver fibrosis staging.

Indexed as

Fatty LiverLiver CirrhosisMetabolomeMetabolomicsAdultAgedAge FactorsBiomarkersCase-Control StudiesFemaleGlutamineHumansMaleMiddle AgedPropionatesSeverity of Illness IndexBiomarkersGlutaminePropionatesFibrosisGlutamineGlutaminolysisGut-liver axisMetabolic associated steatotic liver diseasePropionate

Identifiers

PMID40897824
PMCPMC12405442

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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.