Evidence map›Paper›PMID 41206408›Full record

ReviewMetabolomics : Official journal of the Metabolomic Society2025

Applications of metabolomics in cow health assessment.

Xiaorui Zhao, Paraskevi Tsermoula, Bekzod Khakimov

Abstract readReview
In one paragraph

Review in Metabolomics : Official journal of the Metabolomic Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

3 authors.

Xiaorui ZhaoDepartment of Food Science, University of Copenhagen, Rolighedsvej 26, DK-1958, Frederiksberg C, Denmark.
Paraskevi TsermoulaDepartment of Food Science, University of Copenhagen, Rolighedsvej 26, DK-1958, Frederiksberg C, Denmark.
Bekzod KhakimovDepartment of Food Science, University of Copenhagen, Rolighedsvej 26, DK-1958, Frederiksberg C, Denmark. bzo@food.ku.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe dairy cow is an integral part of the global agricultural economy and plays a vital role in human nutrition. Compromised health in dairy cows leads to substantial economic losses and adverse environmental impacts. Understanding cow physiology and the etiology of common diseases is essential for developing effective strategies to improve animal health and mitigate negative consequences. Over the past two decades, metabolomics has emerged as a powerful approach not only for assessing and monitoring the health status of dairy cows but also for predicting and diagnosing diseases. AIM OF REVIEW: To review current metabolomics research aimed at improving the understanding of cow health status and metabolic changes associated with common diseases in dairy cows. KEY SCIENTIFIC CONCEPT OF REVIEW: This review discusses findings from nearly 100 studies that report metabolic changes linked to health status and common diseases in dairy cows. It focuses on disease-specific metabolite alterations across different biofluids in conditions such as mastitis, lameness, acidosis, ketosis, and hypocalcemia, highlighting their relevance to pathological significance. The review also discusses how metabolomics can support early diagnosis and examines metabolic shifts related to physiological factors such as pregnancy, lactation, transition period, and parity.

Indexed as

Cattle DiseasesMetabolomicsAnimalsCattleDairyingFemaleLactationPregnancyAnimal metabolomeDairy cowDisease diagnosisDisease pathologyMastitis

Identifiers

PMID41206408
PMCPMC12596350

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.