Evidence map›Paper›PMID 34897580›Full record

ArticleJournal of physiology and biochemistry2022

Monitoring one-carbon metabolism by mass spectrometry to assess liver function and disease.

Laura Guerrero, Bruno Sangro, Verónica Ambao, José Ignacio Granero, Antonio Ramos-Fernández, Alberto Paradela, Fernando J Corrales

Open access · hybridAbstract read
In one paragraph

Article in Journal of physiology and biochemistry, 2022. 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
0.4field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  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

7 authors at 2 institutions in 2 countries.

Laura GuerreroFunctional Proteomics Laboratory, Centro Nacional de Biotecnología-CSIC, Proteored-ISCIII, Darwin 3, 28049, Madrid, Spain.
Bruno SangroHepatology Department, University Clinic of Navarra, University of Navarra, 31008, Pamplona, Spain.
Verónica AmbaoCentro de Investigaciones Endocrinológicas "Dr. César Bergadá" (CEDIE) CONICET-FEI-División de Endocrinología, Hospital de Niños R. Gutiérrez, 1330, C1425EFD, Buenos Aires, Gallo, Argentina.
José Ignacio GraneroFunctional Proteomics Laboratory, Centro Nacional de Biotecnología-CSIC, Proteored-ISCIII, Darwin 3, 28049, Madrid, Spain.
Antonio Ramos-FernándezProteobotics S.L, 28035, Madrid, Spain.
Alberto ParadelaFunctional Proteomics Laboratory, Centro Nacional de Biotecnología-CSIC, Proteored-ISCIII, Darwin 3, 28049, Madrid, Spain.
Fernando J CorralesFunctional Proteomics Laboratory, Centro Nacional de Biotecnología-CSIC, Proteored-ISCIII, Darwin 3, 28049, Madrid, Spain. fcorrales@cnb.csic.es.ORCID http://orcid.org/0000-0002-0231-5159
Instituto de Salud Carlos III · ESConsejo Nacional de Investigaciones Científicas y Técnicas · AR

Funding

NEUROBEHAVIORAL MECHANISMS OF DRUG ADDICTIONR01DA003817 · NIDA · ALBANY MEDICAL COLLEGE · PI GLICK, STANLEY D · 1985 to 2001
$370k
Comunidad de Madrid B2017/BMD-3817Consejo Superior de Investigaciones Científicas 202020E079Consejo Superior de Investigaciones Científicas 202020E108Instituto de Salud Carlos III PT17/0019/0001Severo Ochoa SEV 2017-0712
6 · The paper itself

Abstract

Precision medicine promises to overcome the constraints of the traditional "one-for-all" healthcare approach through a clear understanding of the molecular features of a disease, allowing for innovative and tailored treatments. State-of-the-art proteomics has the potential to accurately explore the human proteome to identify, quantify, and characterize proteins associated with disease progression. There is a pressing need for informative biomarkers to diagnose liver disease early in its course to prevent severe disease for which no efficient treatment is yet available. Here, we propose the concept of a cellular pathway as a functional biomarker, whose monitorization may inform normal and pathological status. We have developed a standardized targeted selected-reaction monitoring assay to detect and quantify 13 enzymes of one-carbon metabolism (1CM). The assay is compliant with Clinical Proteomics Tumor Analysis Consortium (CPTAC) guidelines and has been included in the protein quantification assays that can be accessed through the assay portal at the CPTAC web page. To test the feasibility of the assay, we conducted a retrospective, proof-of-concept study on a collection of liver samples from healthy controls and from patients with cirrhosis or hepatocellular carcinoma (HCC). Our results indicate a significant reconfiguration of 1CM upon HCC development resulting from a process that can already be identified in cirrhosis. Our findings indicate that the systematic and integrated quantification of 1CM enzymes is a promising cell function-based biomarker for patient stratification, although further experiments with larger cohorts are needed to confirm these findings.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsCarbonHumansMass SpectrometryRetrospective StudiesCarbonBiology and Disease Human Proteome Project (B/D-HPP)CPTACLiver cancerLiver injuryOne-carbon metabolismSRMTargeted proteomics

Identifiers

PMID34897580
PMCPMC8666175
OpenAlexW4200423944

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.