Evidence map›Paper›PMID 29564706›Full record

ArticleEnvironmental science and pollution research international2018

Transcriptome analysis reveals the molecular mechanism of hepatic metabolism disorder caused by chromium poisoning in chickens.

Xinxin Tian, Hui Zhang, Yali Zhao, Khalid Mehmood, Xiaoxing Wu, Zhenyu Chang, Min Luo, Xueting Liu, Muhammad Ijaz, Muhammad Tariq Javed and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Antagonistic effects of nano-selenium on broilers hepatic injury induced by CrEnvironmental science and pollution research international · 2020
    Article
  9. Article
  10. 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

11 authors at 5 institutions in 2 countries.

Xinxin TianCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Hui ZhangCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.ORCID http://orcid.org/0000-0002-6844-4375
Yali ZhaoCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Khalid MehmoodCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Xiaoxing WuCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Zhenyu ChangCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Min LuoCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Xueting LiuCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Muhammad IjazDepartment of Clinical Medicine and Surgery, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan.
Muhammad Tariq JavedUniversity of Agriculture, Faisalabad, Pakistan.
Donghai ZhouCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China. bigdefoot@163.com.
Huazhong Agricultural University · CNIslamia University of Bahawalpur · PKTibet University · CNUniversity of Agriculture Faisalabad · PKUniversity of Veterinary and Animal Sciences · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromium (Cr) is one of the most important environmental pollutants which are released into the environment due to their wide usage in numerous industries. The excess of Cr (VI) can induce hepatotoxicity, while the molecular mechanism that is involved in Cr (VI)-induced hepatotoxicity is unclear. We demonstrated the induction of chromium poisoning model in chickens to identify the differentially expressed genes (DEGs), and their functions were analyzed under different physiological and pathological conditions. Histopathological examination and transcriptome data for chromium-poisoned livers and control livers were annotated with Illumina® HiSeq 2000. The histopathological examination in chromium poisoning groups showed diapedesis, hemolysis, degeneration, nucleus pycnosis, and central phlebectasia in the liver. A total of 334 genes were upregulated and 509 genes were downregulated. The most strongly upregulated genes were HKDC1, DDX4, ACACA, FDFT1, CYYR1, PPP1R3C, and SLC16A14, while the most downregulated genes were MYBPC3, CCKAR, PCK1, and CPT1A. A Gene Ontology (GO) term with the highest enrichment of DEGs is small molecule metabolic process. In cell component domain, the term with the highest enrichment is extracellular matrix. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways showed that glucose metabolism, lipid metabolism, and protein metabolism were the most important metabolic pathways in the liver. The current study first time provides important clues and evidence for identifying the differentially expressed genes in livers due to Cr (VI)-induced liver injury in chickens.

Indexed as

Avian ProteinsChemical and Drug Induced Liver InjuryChromiumEnvironmental PollutantsGene ExpressionGene Expression ProfilingGlucoseLipid MetabolismMetabolic Networks and PathwaysTranscriptomeAvian ProteinsChromiumEnvironmental PollutantsGlucoseChromiumHepatic metabolismHepatotoxicityLiverTranscriptome

Identifiers

PMID29564706
OpenAlexW2791258920

What OpenQuestion holds

Textmetadata
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.