Evidence map›Paper›PMID 42076717›Full record

ArticleVeterinary sciences2026

The Dry Secretion Metabolome: LC-MS Profiling Distinguishes Subclinical Mastitis from Healthy Udder Quarters Across the Dry Period in Dairy Cows.

Barjam Hasanllari, Memet Kaja, Shuang Zhao, Xian Luo, Liang Li, Burim N Ametaj

Abstract read
In one paragraph

Article 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

6 authors.

Barjam HasanllariDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada.
Memet KajaDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada.
Shuang ZhaoThe Metabolomics Innovation Centre, Department of Chemistry, University of Alberta, Edmonton, AB T6G 2G2, Canada.ORCID 0000-0002-1943-8542
Xian LuoThe Metabolomics Innovation Centre, Department of Chemistry, University of Alberta, Edmonton, AB T6G 2G2, Canada.ORCID 0000-0003-1026-845X
Liang LiThe Metabolomics Innovation Centre, Department of Chemistry, University of Alberta, Edmonton, AB T6G 2G2, Canada.ORCID 0000-0002-9347-2108
Burim N AmetajDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada.ORCID 0000-0003-0957-9373

Funding

Results Driven Agriculture Research (RDAR) and Alberta Milk 2021F090R
6 · The paper itself

Abstract

The dry period is a critical window of susceptibility to intramammary infection in dairy cows, yet the metabolic environment of the mammary gland during this phase remains largely uncharacterized. The objective of this study was to profile the metabolome of bovine dry secretion fluid from quarters with subclinical mastitis (SCM; SCC ≥ 200,000 cells/mL) and healthy quarters (H; SCC < 200,000 cells/mL) on day 2 (D2) and day 21 (D21) of the dry period (n = 10 per group quarters per group, drawn from a cohort of 41 enrolled Holstein dairy cows) using high-performance chemical isotope labeling liquid chromatography-mass spectrometry (CIL-LC-MS). A total of 474 metabolites were positively identified. At D2, 186 metabolites differed significantly between SCM and H quarters, with dipeptides dominating the upregulated metabolites, indicating active proteolysis in infected quarters. Norepinephrine was the most significantly depleted metabolite (FC = 0.27,

Indexed as

biomarkerchemical isotope labelingdairy cowdipeptidesdry perioddry secretionLC–MSmammary involutionmetabolomicssubclinical mastitis

Identifiers

PMID42076717
PMCPMC13120032

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.