Evidence map›Paper›PMID 35629929›Full record

ArticleMetabolites2022

Untargeted Metabolomics Identifies a Novel Panel of Markers for Autologous Blood Transfusion.

Amna Al-Nesf, Nada Mohamed-Ali, Vanessa Acquaah, Maneera Al-Jaber, Maryam Al-Nesf, Mohamed A Yassin, Nelson N Orie, Sven Christian Voss, Costas Georgakopoulos, Rikesh Bhatt and 3 more

Abstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Future opportunities for the Athlete Biological Passport.Frontiers in sports and active living · 2022
    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

13 authors.

Amna Al-NesfAnti-Doping Lab Qatar, Doha P.O. Box 27775, Qatar.
Nada Mohamed-AliCentre of Metabolism and Inflammation, UCL, London NW3 2PF, UK.
Vanessa AcquaahCentre of Metabolism and Inflammation, UCL, London NW3 2PF, UK.
Maneera Al-JaberAnti-Doping Lab Qatar, Doha P.O. Box 27775, Qatar.
Maryam Al-NesfHamad Medical Corporation, Doha P.O. Box 3050, Qatar.ORCID 0000-0001-9354-0214
Mohamed A YassinHamad Medical Corporation, Doha P.O. Box 3050, Qatar.ORCID 0000-0002-1144-8076
Nelson N OrieAnti-Doping Lab Qatar, Doha P.O. Box 27775, Qatar.ORCID 0000-0002-4277-3779
Sven Christian VossAnti-Doping Lab Qatar, Doha P.O. Box 27775, Qatar.ORCID 0000-0001-9608-4744
Costas GeorgakopoulosAnti-Doping Lab Qatar, Doha P.O. Box 27775, Qatar.ORCID 0000-0001-5744-1243
Rikesh BhattDepartment of Applied Health Research, UCL, London WC1E 7HB, UK.
Alka BeotraAnti-Doping Lab Qatar, Doha P.O. Box 27775, Qatar.
Vidya Mohamed-AliAnti-Doping Lab Qatar, Doha P.O. Box 27775, Qatar.
Mohammed Al-MaadheedAnti-Doping Lab Qatar, Doha P.O. Box 27775, Qatar.ORCID 0000-0001-5517-0128

Funding

World Anti-Doping Agency Grant: ISF17D06SV
6 · The paper itself

Abstract

Untargeted metabolomics was used to analyze serum and urine samples for biomarkers of autologous blood transfusion (ABT). Red blood cell concentrates from donated blood were stored for 35−36 days prior to reinfusion into the donors. Participants were sampled at different time points post-donation and up to 7 days post-transfusion. Metabolomic profiling was performed using ACQUITY ultra performance liquid chromatography (UPLC), Q-Exactive high resolution/accurate mass spectrometer interfaced with a heated electrospray ionization (HESI-II) source and Orbitrap mass analyzer operated at 35,000 mass resolution. The markers of ABT were determined by principal component analysis and metabolites that had p < 0.05 and met ≥ 2-fold change from baseline were selected. A total of 11 serum and eight urinary metabolites, including two urinary plasticizer metabolites, were altered during the study. By the seventh day post-transfusion, the plasticizers had returned to baseline, while changes in nine other metabolites (seven serum and two urinary) remained. Five of these metabolites (serum inosine, guanosine and sphinganine and urinary isocitrate and erythronate) were upregulated, while serum glycourdeoxycholate, S-allylcysteine, 17-alphahydroxypregnenalone 3 and Glutamine conjugate of C6H10O2 (2)* were downregulated. This is the first study to identify a panel of metabolites, from serum and urine, as markers of ABT. Once independently validated, it could be universally adopted to detect ABT.

Indexed as

autologous transfusionbiomarkermetabolitesuntargeted metabolomics

Identifiers

PMID35629929
PMCPMC9145416

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.