Evidence map›Paper›PMID 29549307›Full record

ArticleScientific reports2018

Targeted metabolomic profiling in rat tissues reveals sex differences.

Margherita Ruoppolo, Marianna Caterino, Lucia Albano, Rita Pecce, Maria Grazia Di Girolamo, Daniela Crisci, Michele Costanzo, Luigi Milella, Flavia Franconi, Ilaria Campesi

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
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

41 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Sex-Gender-Based Differences in Metabolic Diseases.Handbook of experimental pharmacology · 2023
    Review
  15. Review
  16. Sex differences in the human metabolome.Biology of sex differences · 2022
    Review
  17. Article
  18. Review
  19. COVIDomics: The Proteomic and Metabolomic Signatures of COVID-19.International journal of molecular sciences · 2022
    Review
  20. 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

10 authors.

Margherita RuoppoloDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli, "Federico II", Napoli, Italy.
Marianna CaterinoDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli, "Federico II", Napoli, Italy.
Lucia AlbanoDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli, "Federico II", Napoli, Italy.
Rita PecceDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli, "Federico II", Napoli, Italy.
Maria Grazia Di GirolamoDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli, "Federico II", Napoli, Italy.
Daniela CrisciDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli, "Federico II", Napoli, Italy.
Michele CostanzoDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli, "Federico II", Napoli, Italy.
Luigi MilellaDipartimento di Scienze, Università degli Studi della Basilicata, Potenza, Italy.
Flavia FranconiDipartimento di Scienze Biomediche, Università degli Studi di Sassari, Sassari, Italy.
Ilaria CampesiDipartimento di Scienze Biomediche, Università degli Studi di Sassari, Sassari, Italy. icampesi@uniss.it.ORCID 0000-0002-1681-6448

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex differences affect several diseases and are organ-and parameter-specific. In humans and animals, sex differences also influence the metabolism and homeostasis of amino acids and fatty acids, which are linked to the onset of diseases. Thus, the use of targeted metabolite profiles in tissues represents a powerful approach to examine the intermediary metabolism and evidence for any sex differences. To clarify the sex-specific activities of liver, heart and kidney tissues, we used targeted metabolomics, linear discriminant analysis (LDA), principal component analysis (PCA), cluster analysis and linear correlation models to evaluate sex and organ-specific differences in amino acids, free carnitine and acylcarnitine levels in male and female Sprague-Dawley rats. Several intra-sex differences affect tissues, indicating that metabolite profiles in rat hearts, livers and kidneys are organ-dependent. Amino acids and carnitine levels in rat hearts, livers and kidneys are affected by sex: male and female hearts show the greatest sexual dimorphism, both qualitatively and quantitatively. Finally, multivariate analysis confirmed the influence of sex on the metabolomics profiling. Our data demonstrate that the metabolomics approach together with a multivariate approach can capture the dynamics of physiological and pathological states, which are essential for explaining the basis of the sex differences observed in physiological and pathological conditions.

Indexed as

Sex CharacteristicsAmino AcidsAnimalsCarnitineCluster AnalysisDiscriminant AnalysisFemaleKidneyLiverMaleMetabolomicsMultivariate AnalysisMyocardiumOrgan SpecificityPrincipal Component AnalysisRatsacylcarnitineAmino AcidsCarnitine

Identifiers

PMID29549307
PMCPMC5856765

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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.