Evidence map›Paper›PMID 27958645›Full record

ArticleRapid communications in mass spectrometry : RCM2017

Comparing identified and statistically significant lipids and polar metabolites in 15-year old serum and dried blood spot samples for longitudinal studies.

Jennifer E Kyle, Cameron P Casey, Kelly G Stratton, Erika M Zink, Young-Mo Kim, Xueyun Zheng, Matthew E Monroe, Karl K Weitz, Kent J Bloodsworth, Daniel J Orton and 8 more

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Investigation into temporal changes in the human bloodstain lipidome.International journal of legal medicine · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Combining lipidomics and machine learning to measure clinical lipids in dried blood spots.Metabolomics : Official journal of the Metabolomic Society · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

18 authors.

Jennifer E KyleEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Cameron P CaseyEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Kelly G StrattonNational Security Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Erika M ZinkEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Young-Mo KimEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Xueyun ZhengEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Matthew E MonroeEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Karl K WeitzEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Kent J BloodsworthEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Daniel J OrtonEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Yehia M IbrahimEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Ronald J MooreEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Christine G LeeDepartment of Medicine, Bone and Mineral Unit, Oregon Health and Science University, Portland, OR, USA.
Catherine PedersenDepartment of Medicine, Bone and Mineral Unit, Oregon Health and Science University, Portland, OR, USA.
Eric OrwollDepartment of Medicine, Bone and Mineral Unit, Oregon Health and Science University, Portland, OR, USA.
Richard D SmithEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Kristin E Burnum-JohnsonEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Erin S BakerEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.

Funding

Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
Systems Biology Identifies Restriction Factors for West Nile VirusU19AI106772 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI KAWAOKA, YOSHIHIRO · 2013 to 2017
$26.1M
Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
Osteoporotic Fractures in Men (MrOS) - San Francisco Coordinating CenterU01AR066160 · NIAMS · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI CUMMINGS, STEVEN RON · 2013 to 2017
$9.3M
Osteoporotic Fractures in Men: MrOS Renewal-PortlandU01AR045647 · NIAMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 1999 to 2011
$6.7M
Nutrition, Obesity and Atherosclerosis Training ProgramT32HL007028 · NHLBI · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1985 to 2026
$6.4M
Osteoporotic Fractures in Men (MrOS) - MinneapolisU01AG042145 · NIA · UNIVERSITY OF MINNESOTA · PI ENSRUD, KRISTINE · 2013 to 2019
$5.3M
Osteporotic Fractures in Men (MrOS)- Admin CenterU01AG027810 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2006 to 2017
$5.1M
Osteoporotic Fractures in Men (MrOS) - PortlandU01AG042124 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2013 to 2019
$3.0M
Osteoporatic Fractures in Men (MrOS)U01AG042168 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KADO, DEBORAH · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr. Os) Palo AltoU01AG042143 · NIA · STANFORD UNIVERSITY · PI STEFANICK, MARCIA L. · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr.OS)U01AG042139 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAULEY, JANE ANN · 2013 to 2017
$2.9M
NCATS NIH HHS UL1 TR000128NHLBI NIH HHS T32 HL007028NIAID NIH HHS U19 AI106772NIAMS NIH HHS U01 AR045647NIAMS NIH HHS U01 AR066160NIA NIH HHS U01 AG027810NIA NIH HHS U01 AG042124NIA NIH HHS U01 AG042139NIA NIH HHS U01 AG042140NIA NIH HHS U01 AG042143NIA NIH HHS U01 AG042145NIA NIH HHS U01 AG042168NICHD NIH HHS R21 HD084788NIEHS NIH HHS R01 ES022190NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

rationaleThe use of dried blood spots (DBS) has many advantages over traditional plasma and serum samples such as the smaller blood volume required, storage at room temperature, and ability to sample in remote locations. However, understanding the robustness of different analytes in DBS samples is essential, especially in older samples collected for longitudinal studies.

methodsHere we analyzed the stability of polar metabolites and lipids in DBS samples collected in 2000-2001 and stored at room temperature. The identified and statistically significant molecules were then compared to matched serum samples stored at -80°C to determine if the DBS samples could be effectively used in a longitudinal study following metabolic disease.

resultsA total of 400 polar metabolites and lipids were identified in the serum and DBS samples using gas chromatograph/mass spectrometry (GC/MS), liquid chromatography (LC)/MS, and LC/ion mobility spectrometry-MS (LC/IMS-MS). The identified polar metabolites overlapped well between the sample types, though only one statistically significant metabolite was conserved in a case-control study of older diabetic males with low amounts of high-density lipoproteins and high body mass indices, triacylglycerides and glucose levels when compared to non-diabetic patients with normal levels, indicating that degradation in the DBS samples affects polar metabolite quantitation. Differences in the lipid identifications indicated that some oxidation occurs in the DBS samples. However, 36 statistically significant lipids correlated in both sample types.

conclusionsThe difference in the number of statistically significant polar metabolites and lipids indicated that the lipids did not degrade to as great of a degree as the polar metabolites in the DBS samples and lipid quantitation was still possible. Copyright © 2016 John Wiley & Sons, Ltd.

Identifiers

PMID27958645
PMCPMC5292309

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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.