Evidence map›Paper›PMID 37091872›Full record

ArticleFrontiers in molecular biosciences2023

Milk metabolomics analyses of lactating dairy cows with divergent residual feed intake reveals physiological underpinnings and novel biomarkers.

Dagnachew Hailemariam, Mohsen Hashemiranjbar, Ghader Manafiazar, Paul Stothard, Graham Plastow

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. Applications of metabolomics in cow health assessment.Metabolomics : Official journal of the Metabolomic Society · 2025
    Review
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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

5 authors at 1 institution in 1 country.

Dagnachew HailemariamDepartment of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Mohsen HashemiranjbarDepartment of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Ghader ManafiazarDepartment of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Paul StothardDepartment of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Graham PlastowDepartment of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The opportunity to select for feed efficient cows has been limited by inability to cost-effectively record individual feed efficiency on an appropriate scale. This study investigated the differences in milk metabolite profiles between high- and low residual feed intake (RFI) categories and identified biomarkers of residual feed intake and models that can be used to predict residual feed intake in lactating Holsteins. Milk metabolomics analyses were undertaken at early, mid and late lactation stages and residual feed intake was calculated in 72 lactating dairy cows. Cows were ranked and grouped into high residual feed intake (RFI >0.5 SD above the mean,

Indexed as

biomarkerdairy cowsfeed efficiencymilk metabolomephysiology

Identifiers

PMID37091872
PMCPMC10113888
OpenAlexW4362640916

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.