Evidence map›Paper›PMID 36835218›Full record

ArticleInternational journal of molecular sciences2023

Allicin Alleviated LPS-Induced Mastitis via the TLR4/NF-κB Signaling Pathway in Bovine Mammary Epithelial Cells.

Hao-Yu Che, Chang-Hai Zhou, Chen-Chen Lyu, Yu Meng, Yun-Tong He, Hao-Qi Wang, Hong-Yu Wu, Jia-Bao Zhang, Bao Yuan

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
16.7field-weighted citation impact, top 1% 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

23 citing papers in PubMed, 42 citations in OpenAlex.

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  10. Akkermansia muciniphila-Derived Outer Membrane Vesicles as a Novel Therapeutic Approach for Mastitis: Insights From In Vitro and Vivo Studies.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
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  12. Differential expression ofVeterinary world · 2025
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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

9 authors at 1 institution in 1 country.

Hao-Yu CheDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun 130062, China.
Chang-Hai ZhouDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun 130062, China.
Chen-Chen LyuDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun 130062, China.
Yu MengDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun 130062, China.
Yun-Tong HeDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun 130062, China.
Hao-Qi WangDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun 130062, China.
Hong-Yu WuDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun 130062, China.
Jia-Bao ZhangDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun 130062, China.ORCID 0000-0001-8533-4744
Bao YuanDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun 130062, China.ORCID 0000-0003-3490-0755
Jilin University · CN

Funding

National Natural Science Foundation of China U20A2053the earmarked fund for China Agriculture Research System CARS-37
6 · The paper itself

Abstract

Dairy farming is the most important economic activity in animal husbandry. Mastitis is the most common disease in dairy cattle and has a significant impact on milk quality and yield. The natural extract allicin, which is the main active ingredient of the sulfur-containing organic compounds in garlic, has anti-inflammatory, anticancer, antioxidant, and antibacterial properties; however, the specific mechanism underlying its effect on mastitis in dairy cows needs to be determined. Therefore, in this study, whether allicin can reduce lipopolysaccharide (LPS)-induced inflammation in the mammary epithelium of dairy cows was investigated. A cellular model of mammary inflammation was established by pretreating bovine mammary epithelial cells (MAC-T) with 10 µg/mL LPS, and the cultures were then treated with varying concentrations of allicin (0, 1, 2.5, 5, and 7.5 µM) added to the culture medium. MAC-T cells were examined using RT-qPCR and Western blotting to determine the effect of allicin. Subsequently, the level of phosphorylated nuclear factor kappa-B (NF-κB) was measured to further explore the mechanism underlying the effect of allicin on bovine mammary epithelial cell inflammation. Treatment with 2.5 µM allicin considerably decreased the LPS-induced increase in the levels of the inflammatory cytokines interleukin-1β (IL-1β), interleukin-6 (IL-6), interleukin-8 (IL-8), and tumor necrosis factor-α (TNF-α) and inhibited activation of the NOD-like receptor protein 3 (NLRP3) inflammasome in cow mammary epithelial cells. Further research revealed that allicin also inhibited the phosphorylation of inhibitors of nuclear factor kappa-B-α (IκB-α) and NF-κB p65. In mice, LPS-induced mastitis was also ameliorated by allicin. Therefore, we hypothesize that allicin alleviated LPS-induced inflammation in the mammary epithelial cells of cows probably by affecting the TLR4/NF-κB signaling pathway. Allicin will likely become an alternative to antibiotics for the treatment of mastitis in cows.

Indexed as

DisulfidesMastitis, BovineNF-kappa BSulfinic AcidsAnimalsCattleEpithelial CellsFemaleInflammationInterleukin-6LipopolysaccharidesMiceSignal TransductionToll-Like Receptor 4allicinDisulfidesInterleukin-6LipopolysaccharidesNF-kappa BSulfinic AcidsTLR4 protein, humanTlr4 protein, mouseToll-Like Receptor 4allicinanti-inflammationMAC-TmastitisNF-κBNLRP3

Identifiers

PMID36835218
PMCPMC9962488
OpenAlexW4320920718

What OpenQuestion holds

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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.