Evidence map›Paper›PMID 35620391›Full record

ArticleFrontiers in endocrinology2022

Profound Perturbation in the Metabolome of a Canine Obesity and Metabolic Disorder Model.

Weiyi Qu, Ze Chen, Xing Hu, Toujun Zou, Yongping Huang, Yanyan Zhang, Yufeng Hu, Song Tian, Juan Wan, Rufang Liao and 10 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Ceramide in cerebrovascular diseases.Frontiers in cellular neuroscience · 2023
    Review
  11. Article
  12. 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

20 authors at 6 institutions in 1 country.

Weiyi QuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Ze ChenInstitute of Model Animal, Wuhan University, Wuhan, China.
Xing HuDepartment of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Toujun ZouDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Yongping HuangInstitute of Model Animal, Wuhan University, Wuhan, China.
Yanyan ZhangInstitute of Model Animal, Wuhan University, Wuhan, China.
Yufeng HuInstitute of Model Animal, Wuhan University, Wuhan, China.
Song TianInstitute of Model Animal, Wuhan University, Wuhan, China.
Juan WanDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Rufang LiaoDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Lan BaiDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Jinhua XueGannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China.
Yi DingCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Manli HuGannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China.
Xiao-Jing ZhangInstitute of Model Animal, Wuhan University, Wuhan, China.
Xin ZhangGannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China.
Jingjing ZhaoDepartment of Cardiology, Tongren Hospital of Wuhan University and Wuhan Third Hospital, Wuhan, China.
Xu ChengDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Zhi-Gang SheDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Hongliang LiDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNGannan Medical University · CNRenmin Hospital of Wuhan University · CNFirst Affiliated Hospital of Gannan Medical University · CNHuazhong Agricultural University · CNWuhan Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canine models are increasingly being used in metabolic studies due to their physiological similarity with humans. The present study aimed to identify changes in metabolic pathways and biomarkers with potential clinical utility in a canine model of obesity and metabolic disorders induced by a high-fat diet (HFD). Eighteen male beagles were included in this study, 9 of which were fed a HFD for 24 weeks, and the remaining 9 were fed normal chow (NC) during the same period. Plasma and urine samples were collected at weeks 12 and 24 for untargeted metabolomic analysis. Dogs fed a HFD showed a gradual body weight increase during the feeding period and had hyperlipidemia, increased leukocyte counts, and impaired insulin sensitivity at week 24. Plasma and urine metabonomics analysis displayed clear separations between the HFD-fed and NC-fed dogs. A total of 263 plasma metabolites varied between the two groups, including stearidonic acid, linolenic acid, carnitine, long-chain ceramide, 3-methylxanthine, and theophylline, which are mainly engaged in fatty acid metabolism, sphingolipid metabolism, and caffeine metabolism. A total of 132 urine metabolites related to HFD-induced obesity and metabolic disorders were identified, including 3-methylxanthine, theophylline, pyridoxal 5'-phosphate, and harmine, which participate in pathways such as caffeine metabolism and vitamin digestion and absorption. Eight metabolites with increased abundance (e.g., 3-methylxanthine, theophylline, and harmine) and 4 metabolites with decreased abundance (e.g., trigonelline) in both the plasma and urine of the HFD-fed dogs were identified. In conclusion, the metabolomic analysis revealed molecular events underlying a canine HFD model and identified several metabolites as potential targets for the prevention and treatment of obesity-related metabolic disorders.

Indexed as

CaffeineMetabolic DiseasesAnimalsDogsHarmineMaleMetabolomeObesityTheophyllineCaffeineHarmineTheophyllinebiomarkersenergy intakehigh-fat dietmetabolic disordermetabolic profilesmetabolomicsobesity

Identifiers

PMID35620391
PMCPMC9128610
OpenAlexW4280547849

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.