Evidence map›Paper›PMID 42797956›Full record

ReviewVeterinary sciences2026

NMR Metabolomics in Veterinary Medicine: From Biomarker Discovery to Clinical Implementation.

Alvaro Pérez-Collar, Carlos Velasco, Javier Bezos, Jose Luis Izquierdo-Garcia

Abstract readReview
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Alvaro Pérez-CollarGrupo de RMN e Imagen en Biomedicina, Instituto Pluridisciplinar, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0009-0008-2903-0680
Carlos VelascoCentro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0003-0190-4581
Javier BezosCentro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0003-1913-0545
Jose Luis Izquierdo-GarciaGrupo de RMN e Imagen en Biomedicina, Instituto Pluridisciplinar, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-7907-3776

Funding

European Union ERA-NET 862605Ministerio de Ciencia, Innovación y Universidades PCI2023-143368Ministerio de Ciencia, Innovación y Universidades PID2019-10656RJ-I00Ministerio de Ciencia, Innovación y Universidades PID2023-151035OB-I00
6 · The paper itself

Abstract

Nuclear magnetic resonance (NMR)-based metabolomics has emerged as a robust and reproducible analytical platform for investigating the molecular mechanisms underlying disease and identifying candidate biomarkers with potential clinical relevance. Although initially developed for biomedical research, its application in veterinary medicine has expanded rapidly during the last decade, driven by the growing demand for precision medicine approaches capable of improving disease diagnosis, prognosis and therapeutic monitoring. This review summarizes the current landscape of NMR metabolomics in veterinary medicine, highlighting its applications across major clinical areas, including oncology, infectious, respiratory, digestive, renal, endocrine and musculoskeletal diseases. Collectively, the available evidence demonstrates that NMR metabolomics consistently identifies disease-associated metabolic alterations, providing novel insights into pathophysiology while supporting biomarker discovery in naturally occurring animal diseases. Beyond current clinical applications, we discuss the major challenges that continue to limit routine implementation, including biological variability, standardization of analytical workflows, multicentre validation and clinical translation. Particular attention is given to recent technological advances, such as benchtop NMR instrumentation, artificial intelligence-assisted data analysis, multi-omics integration and the development of collaborative networks and standardized platforms. Together, these advances position NMR metabolomics as a promising technology to support precision veterinary medicine, facilitating its transition from biomarker discovery to routine clinical implementation.

Indexed as

biomarkersNMR metabolomicsveterinary medicine

Identifiers

PMID42797956
PMCPMC13612090

What Socratic holds

Textmetadata
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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 Socratic graph.