July 25, 2017
Feature

In Longitudinal Studies, Dried Blood Spot Samples Have a Role to Play

A study investigates lipids and polar metabolites in 15-year-old serum and dried blood samples

Thumbnail
Venn diagrams illustrate the number of serum and DBS small molecule identifications and the overlap between the sample types.

Longitudinal studies of disease require collecting biofluids, preferentially blood. But getting serum blood samples takes the work of a professional, and storing thousands of such samples at -80 degrees C means using a lot of energy and freezer space.

These limitations make dried blood spots (DBS) of great interest to researchers. They can be collected non-invasively in remote locations by non-professionals, transported cheaply, and can be stored at room temperature in comparatively limited space.

Given the many advantages, the question is: Are DBS useful in longitudinal studies that follow metabolic disease? A new paper led by researchers at the Pacific Northwest National Laboratory (PNNL) compares DBS to serum samples.

We now better understand the limitations of DBS samples. (Serum samples are needed for longitudinal studies of polar metabolites if DBS samples are stored at room temperature.) And we now know that DBS samples are adequate for assessing changes in lipids.

The paper, by lead authors Jennifer E. Kyle and Erin S. Baker of PNNL, compares the efficacy of serum samples to DBS by analyzing overlapping polar metabolites (64) and lipids (336) from case-control samples collected in 2000-2001.

They used triplicate samples from older male patients with high Body Mass Index, triglycerides, and glucose levels and low HDL (high density lipoprotein), comparing them to a control group made up of older males with normal levels. The DBS were stored at room temperature after collection and compared to matched serum samples stored at -80C.

Mass spectrometry was used to identify 400 lipids and polar metabolites. The lipids and metabolites from the DBS were compared to those in serum samples to determine if molecular degradation occurred over time and if the disease signature was preserved in the patient group.

The findings support evidence that lipids can be analyzed in older DBS samples and can provide important information in longitudinal studies.

What's Next?

Future analyses are needed to address questions related to polar metabolites and lipids in fresh DBS and serum samples, and in DBS samples that have been stored at cooler temperatures for long periods of time.

Acknowledgements

Sponsors: This work was supported by the Laboratory Directed Research and Development program at the Pacific Northwest National Laboratory (PNNL), the National Institute of Environmental Health Sciences of the National Institutes of Health (NIH), the NIH Eunice Kennedy Shriver National Institute of Child Health and Human Development, and the National Institute of General Medical Sciences.

Reference: Kyle JECP Casey, KG StrattonEM Zink, Y-M KimX Zheng. ME Monroe, KK Weitz,  KJ Bloodsworth, DJ Orton, YM Ibrahim, RJ Moore, CG Lee, C Pedersen, E Orwoll, RD Smith, KE Burnum-Johnson, ES Baker.2017. "Comparing identified and statistically significant lipids and polar metabolites in 15-year old serum and dried blood spot samples for longitudinal studies."Rapid Commun. Mass Spectrom. 31447-456DOI10.1002/rcm.7808.

Download Publication

Key Capabilities

###

About PNNL

Pacific Northwest National Laboratory draws on its distinguishing strengths in chemistry, Earth sciences, biology and data science to advance scientific knowledge and address challenges in energy resiliency and national security. Founded in 1965, PNNL is operated by Battelle and supported by the Office of Science of the U.S. Department of Energy. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit the DOE Office of Science website. For more information on PNNL, visit PNNL's News Center. Follow us on Twitter, Facebook, LinkedIn and Instagram.

Published: July 25, 2017

Research Team

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. Bloodworth, Daniel J. Orton, Yehia M. Ibrahim, Ronald J. Moore, Richard D. Smith, Kristin E. Burnham-Johnson,
and Erin S. Baker (PNNL)
Christine G. Lee, Catherine Pederson, and Eric Orwoll (Oregon Health and Science University)