Evidence map›Paper›PMID 23384616›Full record

ArticleEnvironmental health perspectives2013

Performance in omics analyses of blood samples in long-term storage: opportunities for the exploitation of existing biobanks in environmental health research.

Dennie G A J Hebels, Panagiotis Georgiadis, Hector C Keun, Toby J Athersuch, Paolo Vineis, Roel Vermeulen, Lützen Portengen, Ingvar A Bergdahl, Göran Hallmans, Domenico Palli and 10 more

Open access · diamondAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Environmental health perspectives, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 2% 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

74 citing papers in PubMed, 1 synthesis or guideline pooled it, 149 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Adapting Clinical Chemistry Plasma as a Source for Liquid Biopsies.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Review
  6. Observational
  7. Review
  8. Review
  9. NMR Metabolomics in Livestock: An Update of Current Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS.medRxiv : the preprint server for health sciences · 2022
    Article
  16. Article
  17. Metabolomic signatures of low- and high-adiposity neonates differ based on maternal BMI.American journal of physiology. Endocrinology and metabolism · 2022
    Article
  18. Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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

20 authors at 11 institutions in 6 countries.

Dennie G A J HebelsDepartment of Toxicogenomics, Maastricht University, Maastricht, the Netherlands.
Panagiotis Georgiadis
Hector C Keun
Toby J Athersuch
Paolo Vineis
Roel Vermeulen
Lützen Portengen
Ingvar A Bergdahl
Göran Hallmans
Domenico Palli
Benedetta Bendinelli
Vittorio Krogh
Rosario Tumino
Carlotta Sacerdote
Salvatore Panico
Jos C S Kleinjans
Theo M C M de Kok
Martyn T Smith
Soterios A Kyrtopoulos
EnviroGenomarkers Project Consortium
Imperial College London · GBMaastricht University · NLNational Hellenic Research Foundation · GRPiedmont Reference Center for Epidemiology and Cancer Prevention · ITUmeå University · SEUtrecht University · NLAzienda Usl 8 Arezzo · ITFederico II University Hospital · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITItalian institute for Genomic Medicine · ITUniversity of California, Berkeley · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCHALE, CLIONA · 1987 to 2025
$74.6M
Medical Research Council G0801056NIEHS NIH HHS P42 ES004705
6 · The paper itself

Abstract

backgroundThe suitability for omic analysis of biosamples collected in previous decades and currently stored in biobanks is unknown.

objectivesWe evaluated the influence of handling and storage conditions of blood-derived biosamples on transcriptomic, epigenomic (CpG methylation), plasma metabolomic [UPLC-ToFMS (ultra performance liquid chromatography-time-of-flight mass spectrometry)], and wide-target proteomic profiles.

methodsWe collected fresh blood samples without RNA preservative in heparin, EDTA, or citrate and held them at room temperature for ≤ 24 hr before fractionating them into buffy coat, erythrocytes, and plasma and freezing the fractions at -80oC or in liquid nitrogen. We developed methodology for isolating RNA from the buffy coats and conducted omic analyses. Finally, we analyzed analogous samples from the EPIC-Italy and Northern Sweden Health and Disease Study biobanks.

resultsMicroarray-quality RNA could be isolated from buffy coats (including most biobank samples) that had been frozen within 8 hr of blood collection by thawing the samples in RNA preservative. Different anticoagulants influenced the metabolomic, proteomic, and to a lesser extent transcriptomic profiles. Transcriptomic profiles were most affected by the delay (as little as 2 hr) before blood fractionation, whereas storage temperature had minimal impact. Effects on metabolomic and proteomic profiles were noted in samples processed ≥ 8 hr after collection, but no effects were due to storage temperature. None of the variables examined significantly influenced the epigenomic profiles. No systematic influence of time-in-storage was observed in samples stored over a period of 13-17 years.

conclusionsMost samples currently stored in biobanks are amenable to meaningful omics analysis, provided that they satisfy collection and storage criteria defined in this study.

Indexed as

Biological Specimen BanksSpecimen HandlingAnticoagulantsBiomarkersEnvironmental HealthGene Expression ProfilingGenomicsHumansMetabolomicsRNATime FactorsAnticoagulantsBiomarkersRNA

Identifiers

PMID23384616
PMCPMC3620742
OpenAlexW2046783336

What OpenQuestion holds

Textmetadata
LicenceCC0
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 OpenQuestion graph.