Evidence map›Paper›PMID 26664941›Full record

ArticleFrontiers in veterinary science2015

Iron and Ferritin Levels in the Serum and Milk of Bovine Leukemia Virus-Infected Dairy Cows.

Star A Schnell, Hiromichi Ohtsuka, Seiichi Kakinuma, Yasunaga Yoshikawa, Kiyotaka Watanabe, Koichi Orino

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Star A SchnellLaboratory of Veterinary Biochemistry, School of Veterinary Medicine, Kitasato University , Towada , Japan.
Hiromichi OhtsukaLarge Animal Clinical Sciences, School of Veterinary Medicine, Rakuno Gakuen University , Ebetsu , Japan.
Seiichi KakinumaKakinuma Veterinary Hospital , Honjou , Japan.
Yasunaga YoshikawaLaboratory of Veterinary Biochemistry, School of Veterinary Medicine, Kitasato University , Towada , Japan.
Kiyotaka WatanabeLaboratory of Veterinary Biochemistry, School of Veterinary Medicine, Kitasato University , Towada , Japan.
Koichi OrinoLaboratory of Veterinary Biochemistry, School of Veterinary Medicine, Kitasato University , Towada , Japan.
Kitasato University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iron metabolism was examined in 15 bovine leukemia virus (BLV)-infected dairy cows (2.6-7.8 years old). BLV infection was detected by measuring serum antibody titer against BLV virus antigen (gp51). The anti-BLV antibody titers of the BLV-infected cows were significantly higher in serum than in milk; a single serum-positive animal lacked detectable anti-BLV antibodies in its milk. Iron and ferritin concentrations also were significantly higher in serum than in milk. Although most of the BLV-infected dairy cows had past or present anamneses (such as inflammatory diseases, including intramammary infection), the milk ferritin concentrations of the infected cows were significantly lower than those of normal cows; serum ferritin concentrations did not differ significantly between these two groups. The anti-BLV antibody titers in milk samples showed significant correlation with serum iron concentrations. These results suggest that BLV infection affects iron homeostasis through iron metabolism in the dairy cow mammary gland.

Indexed as

bovine leukemia virusdairy cowironmilkserum

Identifiers

PMID26664941
PMCPMC4672180
OpenAlexW1569361527

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.