Evidence map›Paper›PMID 41982539›Full record

ArticleFrontiers in medicine2026

Metabolomics reveals LysoPC a C17:0 (LPC 17:0) as candidate biomarker for personalized medicine in morbid obesity.

Eleonora Stefanini, Silvia Marin, Joan Serrano-Marín, Juan Sánchez-Navés, Hanan Awad Alkozi, Mercè Pallàs, Marta Cascante, Christian Griñán-Ferré, Rafael Franco

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Eleonora StefaniniDepartment of Biochemistry and Molecular Biomedicine, Universitat de Barcelona, Barcelona, Spain.
Silvia MarinDepartment of Biochemistry and Molecular Biomedicine, Universitat de Barcelona, Barcelona, Spain.
Joan Serrano-MarínDepartment of Biochemistry and Molecular Biomedicine, Universitat de Barcelona, Barcelona, Spain.
Juan Sánchez-NavésDepartment of Ophthalmology, Oftalmedic, I.P.O. Institute of Ophthalmology, Palma de Mallorca, Spain.
Hanan Awad AlkoziDepartment of Optometry, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.
Mercè PallàsDepartament de Farmacologia i Química Terapeùtica, Universitat de Barcelona, Barcelona, Spain.
Marta CascanteDepartment of Biochemistry and Molecular Biomedicine, Universitat de Barcelona, Barcelona, Spain.
Christian Griñán-FerréDepartament de Farmacologia i Química Terapeùtica, Universitat de Barcelona, Barcelona, Spain.
Rafael FrancoDepartment of Biochemistry and Molecular Biomedicine, Universitat de Barcelona, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morbid obesity represents the most severe form of obesity and is associated with increased cardiometabolic risk, including type 2 diabetes and cardiovascular complications. Current diagnostic approaches rely on anthropometric measures, failing to capture the metabolic heterogeneity among patients. In this study, plasma samples from 20 morbidly obese patients and 8 controls were analyzed using targeted metabolomics. Of 188 quantified metabolites, 139 passed quality control across lipid, amino acid, and acylcarnitine families. Applying a novel normalization strategy, LPC 17:0 emerged as the most consistent discriminative biomarker, achieving 78% accuracy in distinguishing patients from controls. PC O-40:1, selected as the concomitant within the phosphatidylcholine family based on statistical performance, also showed promise, notable for its abundance in heart and liver tissue and its proposed antioxidant role. The difference between predicted and actual LPC 17:0 levels correlated negatively with BMI (r ≈ -0.6), highlighting its value as a marker of obesity severity. While combining LPC 17:0 with other metabolites slightly improved classification, the metabolite alone demonstrated strong discriminative power. These findings introduce a novel biomarker for morbid obesity and support the development of personalized medicine approaches, enabling monitoring of disease progression, improved risk stratification and targeted therapeutic interventions.

Indexed as

biomarkerblooddiagnosislipidomicslysophosphatidylcholinesmetabolomicsP5 medicine

Identifiers

PMID41982539
PMCPMC13071009

What Socratic 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 Socratic graph.