Evidence map›Paper›PMID 33594460›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2021

Serum metabolomics analysis reveals that weight loss in obese dogs results in a similar metabolic profile to dogs in ideal body condition.

Thiago H A Vendramini, Henrique T Macedo, Rafael V A Zafalon, Matheus V Macegoza, Vivian Pedrinelli, Larissa W Risolia, Fernanda M M Ocampos, Juliana T Jeremias, Cristiana F F Pontieri, Eduardo Ferriolli and 2 more

Open access · greenAbstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Gut Metabolome in Companion Animal Nutrition-Linking Diets to Health.Animals : an open access journal from MDPI · 2025
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  4. Article
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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

12 authors at 2 institutions in 1 country.

Thiago H A VendraminiPet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), 225, Avenida Duque de Caxias Norte, Pirassununga, São Paulo, 13635-900, Brazil.
Henrique T MacedoPet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), 225, Avenida Duque de Caxias Norte, Pirassununga, São Paulo, 13635-900, Brazil.
Rafael V A ZafalonPet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), 225, Avenida Duque de Caxias Norte, Pirassununga, São Paulo, 13635-900, Brazil.
Matheus V MacegozaPet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), 225, Avenida Duque de Caxias Norte, Pirassununga, São Paulo, 13635-900, Brazil.
Vivian PedrinelliVeterinary Nutrology Service, Veterinary Teaching Hospital, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), Sao Paulo, 13635-900, Brazil.
Larissa W RisoliaVeterinary Nutrology Service, Veterinary Teaching Hospital, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), Sao Paulo, 13635-900, Brazil.
Fernanda M M OcamposBrazilian Agricultural Research Corporation (Embrapa-CNPDIA), São Carlos, 13560-970, Brazil.
Juliana T JeremiasGrandfood Industry and Commerce LTD, Dourado, 13590-000, Brazil.
Cristiana F F PontieriGrandfood Industry and Commerce LTD, Dourado, 13590-000, Brazil.
Eduardo FerriolliMedical School of Ribeirão Preto, University of Sao Paulo (USP), Ribeirão Preto, 14049900, Brazil.
Luiz A ColnagoBrazilian Agricultural Research Corporation (Embrapa-CNPDIA), São Carlos, 13560-970, Brazil.
Marcio A BrunettoPet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), 225, Avenida Duque de Caxias Norte, Pirassununga, São Paulo, 13635-900, Brazil. mabrunetto@usp.br.ORCID http://orcid.org/0000-0003-3240-0343
Universidade de São Paulo · BRBrazilian Agricultural Research Corporation · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe study of metabolic profile can be an important tool to better understand, at a systemic level, metabolic alterations caused by different pathological conditions, such as obesity. Furthermore, it allows the discovery of metabolic biomarkers, which may help to diagnose alterations caused by obesity.

objectiveTo investigate the metabolic profile of blood serum of obese dogs, control dogs, and dogs that were subjected to a weight loss program.

methodsTen obese adult spayed female dogs were included, and their body composition was determined by the deuterium isotope dilution method. The dogs were subjected to a weight loss program and formed a new experimental group after losing 20% of the initial body weight. A third experimental group was composed of ten lean adult spayed female dogs. The metabolic profile of blood serum was evaluated through nuclear magnetic resonance (NMR). Principal Component Analyses (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) models were constructed using Pareto scaling pre-processing. Pathway analysis was also performed using the MetaboAnalist online tool.

resultsThe PCA shows that the control and after weight loss groups presented a trend to negative PC1, indicating similarities between these two groups. In contrast, obese animals presented a tendency to appear on negative PC2 indicating a different metabolic profile. The OPLS-DA analysis of the serum indicated that healthy groups presented higher content of glucose, while animals that lost weight had higher levels of cholesterol and lactate than the control group. On the other hand, the analysis showed that lipid content, cholesterol, and branched-chain amino acids were highest in obese animals. Variable Influence on Projection (VIP) analysis demonstrated that Lactate is the most important metabolite for the OPLS-DA model and Hierarchical Cluster Analysis (HCA) corroborated the similarity between the control group and the obese after weight loss groups. Moreover, the pathway analysis indicated the most important metabolic pathways related to this dataset.

conclusionsThe metabolomic assessment based on NMR of blood serum differed between obese dogs and animals in optimal body condition. Moreover, the weight loss resulted in metabolic profiles similar to those observed in lean animals.

Indexed as

MetabolomeWeight LossAnimalsDiscriminant AnalysisDogsFemaleMagnetic Resonance SpectroscopyMetabolic Networks and PathwaysMetabolomicsObesityPrincipal Component AnalysisSerum

Identifiers

PMID33594460
OpenAlexW3129923295

What Socratic 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 Socratic graph.