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

Vendramini, Thiago Henrique Annibale; Macedo, Henrique Tobaro; Zafalon, Rafael Vessecchi Amorim; Macegoza, Matheus Vinícius; Pedrinelli, Vivian; Risolia, Larissa Wünsche; Ocampos, Fernanda Maria Marins; Jeremias, Juliana Toloi; Pontieri, Cristiana Fonseca Ferreira; Ferriolli, Eduardo; Colnago, Luiz Alberto; Brunetto, Márcio Antônio

doi:10.1007/s11306-020-01753-4

Cited by 8 publications

(5 citation statements)

References 55 publications

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“…It was then centered and pareto-scaled for the transformed variables. The Pareto scale, through dividing by the square root of the standard deviation of each column, for each variable provides a standard deviation that is equal to its initial variance [ 27 ]. For more than 50% of variables, the missing value has been excluded before the model is established, the datasets of different regional samples are introduced into the OPLS-DA model to perform region classification.…”

Section: Resultsmentioning

confidence: 99%

Discrimination and Characterization of the Volatile Organic Compounds in Schizonepetae Spica from Six Regions of China Using HS-GC-IMS and HS-SPME-GC-MS

Wan

et al. 2022

Molecules

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Volatile organic compounds (VOCs) are the main chemical components of Schizonepetae Spica (SS), which have positive effects on the quality evaluation of SS. In this study, HS-SPME-GC-MS (headspace solid-phase microextraction-gas chromatography-mass spectrometry) and HS-GC-IMS (headspace-gas chromatography-ion mobility spectrometry) were performed to characterize the VOCs of SS from six different regions. A total of 82 VOCs were identified. In addition, this work compared the suitability of two instruments to distinguish SS from different habitats. The regional classification using orthogonal partial least squares discriminant analysis (OPLS-DA) shows that the HS-GC-IMS method can classify samples better than the HS-SPME-GC-MS. This study provided a reference method for identification of the SS from different origins.

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Section: Resultsmentioning

confidence: 99%

Discrimination and Characterization of the Volatile Organic Compounds in Schizonepetae Spica from Six Regions of China Using HS-GC-IMS and HS-SPME-GC-MS

Wan

et al. 2022

Molecules

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“…Models were built on principal component analysis (PCA), orthogonal partial least-square discriminant analysis (PLS-DA) and partial least-square discriminant analysis (OPLS-DA). All the models evaluated were tested for over fitting with methods of permutation tests [25]. The identified differential metabolites were used to perform cluster analyses with R package [26].…”

Section: Lc-ms/ms Analysismentioning

confidence: 99%

AaLaeA targets AaFla1 to mediate the production of antitumor compound in Alternaria alstroemeria

Feng,

Zheng,

Han

et al. 2023

J Basic Microbiol

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Endophytic fungi are an important source of novel antitumor substances. Previously, we isolated an endophytic fungus, Alternaria alstroemeria, from the medicinal plant Artemisia artemisia, whose crude extracts strongly inhibited A549 tumor cells. We obtained a transformant, namely AaLaeAOE26, which completely loses its antitumor activity due to overexpression of the global regulator AaLaeA. Re‐sequencing analysis of the genome revealed that the insertion site was in the noncoding region and did not destroy any other genes. Metabolomics analysis revealed that the level of secondary antitumor metabolic substances was significantly lower in AaLaeAOE26 compared with the wild strain, in particular flavonoids were more downregulated according to the metabolomics analysis. A further comparative transcriptome analysis revealed that a gene encoding FAD‐binding domain protein (Fla1) was significantly downregulated. On the other hand, overexpression of AaFla1 led to significant enhancement of antitumor activity against A549 with a sevenfold higher inhibition ratio than the wild strain. At the same time, we also found a significant increase in the accumulation of antitumor metabolites including quercetin, gitogenin, rhodioloside, liensinine, ginsenoside Rg2 and cinobufagin. Our data suggest that the global regulator AaLaeA negatively affects the production of antitumor compounds via controlling the transcription of AaFla1 in endophytic A. alstroemeria.

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“…These results suggest that metabolism is increased in melanoma, as has been suggested for other neoplasms ( 196 , 197 ). A recent study performed by Vendramini et al ( 198 ) evaluated the blood serum metabolic profile of obese dogs, control dogs, and dogs undergoing a weight loss program, and approximately 20 metabolites were identified by nuclear magnetic resonance of the blood serum of the animals. The metabolomic evaluation differed between obese dogs and animals with ideal BCS.…”

Section: Perspectivesmentioning

confidence: 99%

Obesity, inflammation, and cancer in dogs: Review and perspectives

et al. 2022

Self Cite

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Obesity is the most common nutritional disease in dogs, and its prevalence has increased in recent decades. Several countries have demonstrated a prevalence of obesity in dogs similar to that observed in humans. Chronic low-grade inflammation is a prominent basis used to explain how obesity results in numerous negative health consequences. This is well known and understood, and recent studies have pointed to the association between obesity and predisposition to specific types of cancers and their complications. Such elucidations are important because, like obesity, the prevalence of cancer in dogs has increased in recent decades, establishing cancer as a significant cause of death for these animals. In the same way, intensive advances in technology in the field of human and veterinary medicine (which even proposes the use of animal models) have optimized existing therapeutic methods, led to the development of innovative treatments, and shortened the time to diagnosis of cancer. Despite the great challenges, this review aims to highlight the evidence obtained to date on the association between obesity, inflammation, and cancer in dogs, and the possible pathophysiological mechanisms that link obesity and carcinogenesis. The potential to control cancer in animals using existing knowledge is also presented.

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

Cited by 8 publications

References 55 publications

Discrimination and Characterization of the Volatile Organic Compounds in Schizonepetae Spica from Six Regions of China Using HS-GC-IMS and HS-SPME-GC-MS

Discrimination and Characterization of the Volatile Organic Compounds in Schizonepetae Spica from Six Regions of China Using HS-GC-IMS and HS-SPME-GC-MS

AaLaeA targets AaFla1 to mediate the production of antitumor compound in Alternaria alstroemeria

Obesity, inflammation, and cancer in dogs: Review and perspectives

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