Evidence map›Paper›PMID 35812858›Full record

ArticleFrontiers in veterinary science2022

Secretion of IFN-γ by Transgenic Mammary Epithelial Cells

Ying Liu, Hongyan Zhang, Shasha Dong, Boyu Li, Weiming Ma, Lijiang Ge, Zhiyong Hu, Feng Su

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Ying LiuShandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science, Shandong Agricultural University, Taian, China.
Hongyan ZhangShandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science, Shandong Agricultural University, Taian, China.
Shasha DongDepartment of Cardiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China.
Boyu LiShandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science, Shandong Agricultural University, Taian, China.
Weiming MaShandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science, Shandong Agricultural University, Taian, China.
Lijiang GeShandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science, Shandong Agricultural University, Taian, China.
Zhiyong HuShandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science, Shandong Agricultural University, Taian, China.
Feng SuShandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science, Shandong Agricultural University, Taian, China.
Shandong Agricultural University · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mastitis results in great economic loss to the dairy goat industry. Many approaches have attempted to decrease the morbidity associated with this disease, and among these, transgenic strategy have been recognized as a potential approach. A previous mammalian study reports that interferon-gamma (IFN-γ) has potential anti-bacterial bioactivity against infection

Indexed as

anti-mastitis activitygene-editingIFN-γinfection riskmastitis

Identifiers

PMID35812858
PMCPMC9263845
OpenAlexW4283383661

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.