Evidence map›Paper›PMID 36765367›Full record

ArticleBMC veterinary research2023

Untargeted metabolomics reveals alternations in metabolism of bovine mammary epithelial cells upon IFN-γ treatment.

Fengyang Li, Xiuhong Hu, Zengshuai Wu, Qiulei Yang, Qila Sa, Wenbo Ren, Tingting Wang, Zhengchao Ji, Na Li, Jing Huang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2023. 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
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 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

11 authors at 1 institution in 1 country.

Fengyang Li *State Key Laboratory for Zoonotic Diseases, College of Veterinary Medicine, Jilin University, 1977 Xinzhu Road, Changchun, 130062, China.
Xiuhong Hu *Department of First Hospital, Jilin University, 1 Xinmin Street, Changchun, 130021, China.
Zengshuai Wu *State Key Laboratory for Zoonotic Diseases, College of Veterinary Medicine, Jilin University, 1977 Xinzhu Road, Changchun, 130062, China.
Qiulei YangState Key Laboratory for Zoonotic Diseases, College of Veterinary Medicine, Jilin University, 1977 Xinzhu Road, Changchun, 130062, China.
Qila SaState Key Laboratory for Zoonotic Diseases, College of Veterinary Medicine, Jilin University, 1977 Xinzhu Road, Changchun, 130062, China.
Wenbo RenDepartment of First Hospital, Jilin University, 1 Xinmin Street, Changchun, 130021, China.
Tingting WangDepartment of First Hospital, Jilin University, 1 Xinmin Street, Changchun, 130021, China.
Zhengchao JiDepartment of First Hospital, Jilin University, 1 Xinmin Street, Changchun, 130021, China.
Na LiState Key Laboratory for Zoonotic Diseases, College of Veterinary Medicine, Jilin University, 1977 Xinzhu Road, Changchun, 130062, China. vetlina2013@126.com.
Jing HuangDepartment of First Hospital, Jilin University, 1 Xinmin Street, Changchun, 130021, China. huangj@jlu.edu.cn.
Liancheng LeiState Key Laboratory for Zoonotic Diseases, College of Veterinary Medicine, Jilin University, 1977 Xinzhu Road, Changchun, 130062, China. leiliancheng@163.com.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIFN-γ is a pleiotropic cytokine that has been shown to affect multiple cellular functions of bovine mammary epithelial cells (BMECs) including impaired milk fat synthesis and induction of malignant transformation via depletion of arginine, one of host conditionally essential amino acids. But the molecular mechanisms of these IFN-γ induced phenotypes are still unknown.

methodsBMECs were treated with IFN-γ for 6 h, 12 h, and 24 h. The metabolomic profiling in BMECs upon IFN-γ induction were assessed using untargeted ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) metabolomic analysis. Key differentially expressed metabolites (DEMs) were quantified by targeted metabolomics.

resultsIFN-γ induction resulted in significant differences in the contents of metabolites. Untargeted analysis identified 221 significantly DEMs, most of which are lipids and lipid-like molecules, organic acids and derivatives, organ heterocyclic compounds and benzenoids. According to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, DEMs were enriched in fructose and mannose metabolism, phosphotransferase system (PTS), β-alanine metabolism, arginine and proline metabolism, methane metabolism, phenylalanine metabolism, and glycolysis/gluconeogenesis. Quantification of selected key DEMs by targeted metabolomics showed significantly decreased levels of D-(-)-mannitol, argininosuccinate, and phenylacetylglycine (PAG), while increased levels in S-hydroxymethylglutathione (S-HMG) and 2,3-bisphospho-D-glyceric acid (2,3-BPG).

conclusionsThese results provide insights into the metabolic alterations in BMECs upon IFN-γ induction and indicate potential theoretical basis for clarifying IFN-γ-induced diseases in mammary gland.

Indexed as

MetabolomicsTandem Mass SpectrometryAnimalsArginineCattleChromatography, LiquidEpithelial CellsInterferon-gammaArginineInterferon-gammaArginine depletionBovine mammary epithelial cellsIFN-γMalignant transformationMetabolomics

Identifiers

PMID36765367
PMCPMC9921584
OpenAlexW4319869508

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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.