Evidence map›Paper›PMID 36699333›Full record

ArticleFrontiers in veterinary science2022

Comparative plasma and urine metabolomics analysis of juvenile and adult canines.

Taibo Wu, Yun Chen, Mingzi Yang, Shuang Wang, Xiaoming Wang, Manli Hu, Xu Cheng, Juan Wan, Yufeng Hu, Yi Ding and 5 more

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 4 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

15 authors at 3 institutions in 1 country.

Taibo WuSchool of Basic Medical Science, Wuhan University, Wuhan, China.
Yun ChenInstitute of Model Animal, Wuhan University, Wuhan, China.
Mingzi YangSchool of Basic Medical Science, Wuhan University, Wuhan, China.
Shuang WangCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Xiaoming WangSchool of Basic Medical Science, Wuhan University, Wuhan, China.
Manli HuSchool of Basic Medical Science, Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of Education, Gannan Medical University, Ganzhou, China.
Xu ChengSchool of Basic Medical Science, Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of Education, Gannan Medical University, Ganzhou, China.
Juan WanSchool of Basic Medical Science, Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of Education, Gannan Medical University, Ganzhou, China.
Yufeng HuSchool of Basic Medical Science, Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of Education, Gannan Medical University, Ganzhou, China.
Yi DingCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Xin ZhangSchool of Basic Medical Science, Key Laboratory of Cardiovascular Disease Prevention and Control, Ministry of Education, Gannan Medical University, Ganzhou, China.
Mingxing DingCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Zhengming HeInstitute of Laboratory Animal Resources, National Institutes for Food and Drug Control, Beijing, China.
Hongliang LiSchool of Basic Medical Science, Wuhan University, Wuhan, China.
Xiao-Jing ZhangSchool of Basic Medical Science, Wuhan University, Wuhan, China.
Wuhan University · CNGannan Medical University · CNHuazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: The metabolomic profile of a biofluid can be affected by age, and thus provides detailed information about the metabolic alterations in biological processes and reflects the in trinsic rule regulating the growth and developmental processes. Methods: To systemically investigate the characteristics of multiple metabolic profiles associated with canine growth, we analyzed the metabolomics in the plasma and urine samples from 15 young and 15 adult beagle dogs via UHPLC-Q-TOFMS-based metabolomics. Blood routine and serum biochemical analyses were also performed on fasting blood samples. Results: The metabolomics results showed remarkable differences in metabolite fingerprints both in plasma and urine between the young and adult groups. The most obvious age-related metabolite alterations include decreased serumlevels of oxoglutaric acid and essential amino acids and derivatives but increased levels of urine levels of O-acetylserine. These changes primarily involved in amino acid metabolism and bile secretion pathways. We also found that the levels of glutamine were consistently higher in both serum and urine of adults, while N-acetylhistamine and uracil concentrations were much lower in the adult group compared to younger ones. Conclusion: Our study provides a whole metabolic profile of serum and urine characteristics of young and adult canines, identifying several metabolites that were significantly associated with age change, which provides theoretical support for the nutrition-related research and age-related homeostasis maintenance in dogs.

Indexed as

caninesgrowthmetabolomicsplasmaurine

Identifiers

PMID36699333
PMCPMC9868312
OpenAlexW4313826021

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.