Evidence map›Paper›PMID 39843231›Full record

ArticleAnimal science journal = Nihon chikusan Gakkaiho

Antimicrobial Component Concentrations in the Milk of Peripartum Goats.

Jin-Kun Sun, Zi-Long Liang, Takahiro Nii, Naoki Suzuki, Naoki Isobe

Abstract read
In one paragraph

Article in Animal science journal = Nihon chikusan Gakkaiho. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Jin-Kun SunGraduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan.
Zi-Long LiangGraduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan.
Takahiro NiiGraduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan.
Naoki SuzukiGraduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan.ORCID https://orcid.org/0000-0001-6045-6729
Naoki IsobeGraduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan.ORCID https://orcid.org/0000-0001-9230-6346

Funding

Japan Science and Technology Agency JPMJFS2129
6 · The paper itself

Abstract

The aim of this study was to investigate changes in milk conditions and antimicrobial components in goats during 8 weeks prepartum and 1 week postpartum. Milk was collected weekly from seven prepartum goats 8 weeks before the due day, immediately, and 1 week after parturition. Milk color scores and the concentration of antimicrobial components (cathelicidin-7 and S100A8) were significantly increased prepartum. There was a significant decrease in milk viscosity, color scores, somatic cell count, and antimicrobial components (lactoferrin and cathelicidin-2, 7) after kidding. However, S100A7 levels did not change throughout the prepartum or postpartum periods. These results indicate that concentrations of cathelicidin-7 and S100A8 differ between prepartum and postpartum periods. Therefore, these microbial components may play different roles in mastitis prevention. The findings of our study provide important information for regulating antimicrobial components in ruminants to prevent bacterial invasion during the peripartum period.

Indexed as

Antimicrobial Cationic PeptidesGoatsMilkPeripartum PeriodAnimalsCathelicidinsFemaleLactoferrinMastitisPostpartum PeriodPregnancyViscosityAntimicrobial Cationic PeptidesCathelicidinsLactoferrinantimicrobial componentgoatmilk conditionperipartum

Identifiers

PMID39843231
PMCPMC11754004

What OpenQuestion holds

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Read underepoch 390

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.