Evidence map›Paper›PMID 29479155›Full record

ArticleVeterinary world2018

Milk amyloid A as a biomarker for diagnosis of subclinical mastitis in cattle.

Hany Ahmed Hussein, Khaled Abd El-Hamid Abd El-Razik, Alaa Mohamed Gomaa, Mohamed Karam Elbayoumy, Khaled A Abdelrahman, H I Hosein

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In one paragraph

Article in Veterinary world, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
9.5field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  10. A report of coagulase-negativeIranian journal of veterinary research · 2024
    Article
  11. Staphylococcal mastitis in dairy cows.Frontiers in veterinary science · 2024
    Review
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  15. Article
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  17. Article
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  19. Potential Novel Biomarkers for Mastitis Diagnosis in Sheep.Animals : an open access journal from MDPI · 2021
    Review
  20. 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

6 authors at 2 institutions in 1 country.

Hany Ahmed HusseinDepartment of Animal Reproduction and AI, Veterinary Division, National Research Centre, Dokki, Giza, Egypt.
Khaled Abd El-Hamid Abd El-RazikDepartment of Animal Reproduction and AI, Veterinary Division, National Research Centre, Dokki, Giza, Egypt.
Alaa Mohamed GomaaDepartment of Mastitis and Neonatal Diseases, Animal Reproduction Research Institute, Agriculture Research Center, Giza, Egypt.
Mohamed Karam ElbayoumyDepartment of Parasitology and Animal Diseases, National Research Centre, Dokki, Giza, Egypt.
Khaled A AbdelrahmanDepartment of Parasitology and Animal Diseases, National Research Centre, Dokki, Giza, Egypt.
H I HoseinDepartment of Veterinary Medicine, Faculty of Veterinary Medicine, Beni-Suef University, Beni Suef, Egypt.
National Research Centre · EGBeni-Suef University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimMastitis is one of the most vital noteworthy monetary risks to dairy ranchers and affects reproductive performance in dairy cattle. However, subclinical mastitis (SCM) negatively affects milk quality and quantity and associated with economic losses as clinical mastitis. It is recognizable only by additional testing. Somatic cell count (SCC) is currently used worldwide for the screening of intramammary infection (IMI) infections. However, somatic cells (SC) are affected by numerous factors and not always correlate with infection of the udder. Therefore, the aim of the present study was to evaluate the milk amyloid A (MAA) in the milk of normal and SCM cows and compare the sensitivity of both MAA secretion and SCC in response to mammary gland bacterial infection. MATERIALS AND

methodsA total of 272 quarter milk samples collected from 68 Friesian cows after clinical examination for detection of clinical mastitis were employed in this study. All quarter milk samples (272) were subjected to bacteriological examination, while SCs were assessed in samples (220). Following SCC estimation and bacteriological examination, the apparently normal quarter milk samples were categorized into 7 groups and MAA concentration was estimated in normal and subclinical mastitic milk samples.

resultsPrevalence of clinical mastitis was 19.12 % (52 quarters), while 80.88 % (220 quarters) were clinically healthy with normal milk secretion. Of those 220 clinically healthy quarter milk samples, 72 (32.73%) showed SCM as detected by SCC (SCC ≥500,000 cells/ml). The most prevalent bacteria detected in this study were streptococci (48.53%), Staphylococcus aureus (29.41%), Escherichia coli (36.76%), and coagulase-negative staphylococci (11.76%). Results of MAA estimation revealed a strong correlation between MAA secretion level and SCC in agreement with the bacteriological examination. Interestingly, there was a prompt increase in MAA concentration in Group III (G III) (group of milk samples had SCC ≤200,000 cells/ml and bacteriologically positive) than Group I (G I) (group of milk samples with SCC ≤500,000 cells/ml and bacteriologically negative), as MAA concentration in G III was about 4 times its concentration in G I.

conclusionOur study provides a strong evidence for the significance of MAA measurement in milk during SCM, and MAA is more sensitive to IMI than SCC. This can be attributed to rapid and sensitive marker of inflammation. The advantage of MAA over other diagnostic markers of SCM is attributed the minute or even undetectable level of MAA in the milk of healthy animals, it is not influenced by factors other than mastitis, and could be estimated in preserved samples. Therefore, we recommend that estimation of MAA concentration in milk is a more useful diagnostic tool than SCC to detect SCM and to monitor the udder health in dairy cattle.

Indexed as

biomarkersmilk amyloid Asomatic cell countsubclinical mastitis

Identifiers

PMID29479155
PMCPMC5813509
OpenAlexW2789279602

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.