Evidence map›Paper›PMID 27163124›Full record

ArticlePloS one2016

Whole Blood RNA as a Source of Transcript-Based Nutrition- and Metabolic Health-Related Biomarkers.

Petar D Petrov, M Luisa Bonet, Bárbara Reynés, Paula Oliver, Andreu Palou, Joan Ribot

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Article
  5. Article
  6. ImpairedNutrients · 2020
    Article
  7. Article
  8. Article
  9. 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

6 authors.

Petar D PetrovLaboratory of Molecular Biology, Nutrition and Biotechnology-Nutrigenomics, University of the Balearic Islands and CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Palma de Mallorca, Spain.
M Luisa BonetLaboratory of Molecular Biology, Nutrition and Biotechnology-Nutrigenomics, University of the Balearic Islands and CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Palma de Mallorca, Spain.
Bárbara ReynésLaboratory of Molecular Biology, Nutrition and Biotechnology-Nutrigenomics, University of the Balearic Islands and CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Palma de Mallorca, Spain.
Paula OliverLaboratory of Molecular Biology, Nutrition and Biotechnology-Nutrigenomics, University of the Balearic Islands and CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Palma de Mallorca, Spain.
Andreu PalouLaboratory of Molecular Biology, Nutrition and Biotechnology-Nutrigenomics, University of the Balearic Islands and CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Palma de Mallorca, Spain.
Joan RibotLaboratory of Molecular Biology, Nutrition and Biotechnology-Nutrigenomics, University of the Balearic Islands and CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Palma de Mallorca, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood cells are receiving an increasing attention as an easily accessible source of transcript-based biomarkers. We studied the feasibility of using mouse whole blood RNA in this context. Several paradigms were studied: (i) metabolism-related transcripts known to be affected in rat tissues and peripheral blood mononuclear cells (PBMC) by fasting and upon the development of high fat diet (HFD)-induced overweight were assessed in whole blood RNA of fasted rats and mice and of HFD-fed mice; (ii) retinoic acid (RA)-responsive genes in tissues were assessed in whole blood RNA of control and RA-treated mice; (iii) lipid metabolism-related transcripts previously identified in PBMC as potential biomarkers of metabolic health in a rat model were assessed in whole blood in an independent model, namely retinoblastoma haploinsufficient (Rb+/-) mice. Blood was collected and stored in RNAlater® at -80°C until analysis of selected transcripts by real-time RT-PCR. Comparable changes with fasting were detected in the expression of lipid metabolism-related genes when RNA from either PBMC or whole blood of rats or mice was used. HFD-induced excess body weight and fat mass associated with expected changes in the expression of metabolism-related genes in whole blood of mice. Changes in gene expression in whole blood of RA-treated mice reproduced known transcriptional actions of RA in hepatocytes and adipocytes. Reduced expression of Fasn, Lrp1, Rxrb and Sorl1 could be validated as early biomarkers of metabolic health in young Rb+/- mice using whole blood RNA. Altogether, these results support the use of whole blood RNA in studies aimed at identifying blood transcript-based biomarkers of nutritional/metabolic status or metabolic health. Results also support reduced expression of Fasn, Lrp1, Rxrb and Sorl1 in blood cells at young age as potential biomarkers of metabolic robustness.

Indexed as

Diet, High-FatTranscriptomeAdipocytesAnimalsBody WeightDNA-Binding ProteinsEnergy MetabolismFastingFatty Acid Synthase, Type IFemaleGene Expression RegulationHaploinsufficiencyHepatocytesLeukocytes, MononuclearLow Density Lipoprotein Receptor-Related Protein-1MaleDNA-Binding ProteinsFatty Acid Synthase, Type ILow Density Lipoprotein Receptor-Related Protein-1Lrp1 protein, mouseMembrane Transport ProteinsReceptors, LDLRetinoblastoma ProteinRNA, MessengerRxrb protein, mouseSorl1 protein, mouseTretinoinTumor Suppressor Proteins

Identifiers

PMID27163124
PMCPMC4862680

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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.