Evidence map›Paper›PMID 38783781›Full record

ArticleProteomics2024

Capillary blood self-collection for high-throughput proteomics.

Bassim El-Sabawi, Shi Huang, Kahraman Tanriverdi, Andrew S Perry, Kaushik Amancherla, Natalie Jackson, Jenna Hulsey, Jane E Freedman, Ravi Shah, Brian R Lindman

Abstract read
In one paragraph

Article in Proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. 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

10 authors.

Bassim El-SabawiDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0001-5252-4293
Shi HuangDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Kahraman TanriverdiDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Andrew S PerryDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Kaushik AmancherlaDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Natalie JacksonDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jenna HulseyDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jane E FreedmanDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Ravi ShahDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Brian R LindmanDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Funding

Circulating Proteomics to Phenotype the Development and Reversal of Myocardial Remodeling in Aortic StenosisR01HL164526 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Brian Richard Lindman · 2023 to 2026
$3.7M
Home-based cardiac rehabilitation using a novel mobile health exercise regimen following transcatheter heart valve interventions (HOME RUN HITTER)R01AG073633 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Brian Richard Lindman · 2022 to 2026
$3.2M
VGM: Vanderbilt Genomic Medicine Training ProgramT32HG008341 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Nancy J Cox, Joseph F. Peterson · 2016 to 2026
$2.8M
Cell-Specific Transcriptional Programs in Cardiac Allograft VasculopathyK23HL166960 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Kaushik Amancherla · 2024 to 2026
$556k
NHGRI NIH HHS T32 HG008341NHLBI NIH HHS K23 HL166960NHLBI NIH HHS L30 HL165555NHLBI NIH HHS R01 HL164526NIA NIH HHS R01 AG073633
6 · The paper itself

Abstract

In this study, we sought to compare protein concentrations obtained from a high-throughput proteomics platform (Olink) on samples collected using capillary blood self-collection (with the Tasso+ device) versus standard venipuncture (control). Blood collection was performed on 20 volunteers, including one sample obtained via venipuncture and two via capillary blood using the Tasso+ device. Tasso+ samples were stored at 2°C-8°C for 24-hs (Tasso-24) or 48-h (Tasso-48) prior to processing to simulate shipping times from a study participant's home. Proteomics were analyzed using Olink (384 Inflammatory Panel). Tasso+ blood collection was successful in 37/40 attempts. Of 230 proteins included in our analysis, Pearson correlations (r) and mean coefficient of variation (CV) between Tasso-24 or Tasso-48 versus venipuncture were variable. In the Tasso-24 analysis, 34 proteins (14.8%) had both a correlation r > 0.5 and CV < 0.20. In the Tasso-48 analysis, 68 proteins (29.6%) had a correlation r > 0.5 and CV < 0.20. Combining the Tasso-24 and Tasso-48 analyses, 26 (11.3%) proteins met these thresholds. We concluded that protein concentrations from Tasso+ samples processed 24-48 h after collection demonstrated wide technical variability and variable correlation with a venipuncture gold-standard. Use of home capillary blood self-collection for large-scale proteomics should be limited to select proteins with good agreement with venipuncture.

Indexed as

Blood Specimen CollectionProteomicsAdultBlood ProteinsFemaleHigh-Throughput Screening AssaysHumansMaleMiddle AgedPhlebotomyBlood Proteinsblood proteinsblood specimen collectionproteomicstasso

Identifiers

PMID38783781
PMCPMC11834985

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.