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Alterations in plasma acylcarnitine and amino acid profiles may indicate poor nutrition during the suckling period due to maternal intake of an unbalanced diet and may predict later metabolic…

Overview of attention for article published in FASEB Journal, August 2018
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Title
Alterations in plasma acylcarnitine and amino acid profiles may indicate poor nutrition during the suckling period due to maternal intake of an unbalanced diet and may predict later metabolic dysfunction
Published in
FASEB Journal, August 2018
DOI 10.1096/fj.201800327rr
Pubmed ID
Authors

Catalina A. Pomar, Ondrej Kuda, Jan Kopecky, Martina Rombaldova, Heriberto Castro, Catalina Picó, Juana Sánchez, Andreu Palou

Abstract

Plasma profiles of acylcarnitines (ACs) and amino acids (AAs) may have interest as potential biomarkers. Here we analyzed plasma AC and AA profiles in 2 rat models with different metabolic programming outcomes: offspring of dams fed a cafeteria diet during lactation (O-CAF, with a thin-outside-fat-inside phenotype) and the offspring of dams with diet-induced obesity subjected to dietary normalization before gestation (O-PCaf, nonaltered phenotype). The purpose was to identify early variables that might indicate a propensity for a dysmetabolic state. O-CAF rats presented higher circulating levels of most of the lipid-derived ACs and higher hepatic expression of genes related to fatty acid oxidation ( Ppara and Cpt1a) than controls [offspring of control dams (O-C)]. They also exhibited an altered plasma AA profile. These differences were not observed in O-PCaf animals. A partial least squares-discriminant analysis score plot of the metabolomics data showed a clear separation between O-CAF and O-C animals. The long-chain ACs (C18, C18:1, C18:2, C16:1, and C16DC) and the AAs glycine, alanine, isoleucine, serine, and proline are the variables mainly influencing this separation. In summary, we have identified a cluster of ACs and AAs whose alterations may indicate poor nutrition during lactation due to maternal unbalanced diet intake and predict the later dysmetabolic phenotype observed in the offspring.-Pomar, C. A., Kuda, O., Kopecky, J., Rombaldova, M., Castro, H., Picó, C., Sánchez, J., Palou, A. Alterations in plasma acylcarnitine and amino acid profiles may be indicative of poor nutrition during the suckling period due to maternal intake of an unbalanced diet and predict later metabolic dysfunction.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Researcher 4 13%
Professor 3 10%
Student > Master 2 7%
Student > Bachelor 1 3%
Other 5 17%
Unknown 10 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 17%
Medicine and Dentistry 3 10%
Agricultural and Biological Sciences 3 10%
Engineering 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 10%
Unknown 13 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 August 2019.
All research outputs
#16,312,996
of 25,759,158 outputs
Outputs from FASEB Journal
#7,019
of 11,513 outputs
Outputs of similar age
#197,585
of 341,756 outputs
Outputs of similar age from FASEB Journal
#54
of 129 outputs
Altmetric has tracked 25,759,158 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,513 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 341,756 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.