Evidence map›Paper›PMID 39757418›Full record

ArticleAnalytical chemistry2025

Comprehensive, Quantitative Analysis of SRM 1950: the NIST Human Plasma Reference Material.

Rupasri Mandal, Jiamin Zheng, Lun Zhang, Eponine Oler, Marcia A LeVatte, Mark Berjanskii, Matthias Lipfert, Jun Han, Christoph H Borchers, David S Wishart

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Assessing the metabolomics "dark matter" by a detectable khipu model.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Constructing a consensus serum metabolome.bioRxiv : the preprint server for biology · 2025
    Article
  18. Review
  19. Review
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.

Rupasri MandalDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.
Jiamin ZhengDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.
Lun ZhangDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.
Eponine OlerDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.
Marcia A LeVatteDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.
Mark BerjanskiiDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.
Matthias LipfertDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.
Jun HanDepartment of Biochemistry & Microbiology, University of Victoria, Victoria, British Columbia V8W 2Y2, Canada.
Christoph H BorchersLady Davis Institute, Jewish General Hospital, Division of Experimental Medicine, McGill University, Montreal, Quebec H3T 1E4, Canada.ORCID 0000-0003-2394-6512
David S WishartDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.ORCID 0000-0002-3207-2434

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many analytical methods have been developed for performing targeted metabolomics. By combining multiple analytical techniques, comprehensive coverage of the metabolome can be achieved. We combined multiple analytical techniques to comprehensively and quantitatively characterize the widely studied NIST human plasma reference material, SRM 1950. Our goal was to provide a large, well-validated list of confident metabolite concentration values (i.e., benchmarks) to assist the metabolomics community in its calibration and comparison efforts. We used four analytical platforms: high-resolution NMR spectroscopy, direct injection tandem MS (DI-MS/MS), liquid chromatography tandem MS (LC-MS/MS), and inductively coupled plasma MS (ICP-MS). Eight validated analytical assays were run, yielding accurate quantitative measurements for 728 unique metabolites or metabolite species. Through computer-aided literature mining, we identified another 330 unique metabolites previously quantified in SRM 1950. We compared NIST-certified values along with literature-derived concentrations/ranges to the metabolite concentrations measured by our four platforms and eight assays. From these assays/platforms, we generated a list of high-confidence concentration values of 1058 metabolites or metabolite species in SRM 1950 including data for 60 amino acids/related compounds, 48 bile acids, 72 amines/sugars/alcohols, 21 metals, 8 catecholamines, 11 vitamins, 92 organic acids, 40 fatty acids/steroids/nucleobases/indole derivatives, 5 polyfluorinated compounds, 7 carotenoids, 39 acylcarnitines, 76 oxylipins, 13 sterols, and 566 lipids/lipid species. This data set represents the most complete quantitative characterization of SRM 1950. An online database (SRM1950-DB) containing 1058 plasma metabolites/metabolite species in SRM 1950, their structures, HMDB IDs, mass, chemical class, concentrations, references, and reliability is freely available at https://srm1950-data.wishartlab.com.

Indexed as

MetabolomicsChromatography, LiquidHumansMagnetic Resonance SpectroscopyMass SpectrometryReference StandardsTandem Mass Spectrometry

Identifiers

PMID39757418
PMCPMC11740895

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.