Evidence map›Paper›PMID 28714878›Full record

ArticleMetabolites2017

Integrated Metabolomics Assessment of Human Dried Blood Spots and Urine Strips.

Jeremy Drolet, Vladimir Tolstikov, Brian A Williams, Bennett P Greenwood, Collin Hill, Vivek K Vishnudas, Rangaprasad Sarangarajan, Niven R Narain, Michael A Kiebish

Abstract read
In one paragraph

Article in Metabolites, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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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

9 authors.

Jeremy DroletBERG, 500 Old Connecticut Path, Bldg. B, Framingham, MA 01701, USA. Jeremy_Drolet@waters.com.
Vladimir TolstikovBERG, 500 Old Connecticut Path, Bldg. B, Framingham, MA 01701, USA. vladimir.tolstikov@berghealth.com.
Brian A WilliamsBERG, 500 Old Connecticut Path, Bldg. B, Framingham, MA 01701, USA. brian.williams@berghealth.com.
Bennett P GreenwoodBERG, 500 Old Connecticut Path, Bldg. B, Framingham, MA 01701, USA. bennett.greenwood@berghealth.com.
Collin HillBERG, 500 Old Connecticut Path, Bldg. B, Framingham, MA 01701, USA. collin.hill@berghealth.com.
Vivek K VishnudasBERG, 500 Old Connecticut Path, Bldg. B, Framingham, MA 01701, USA. vivek.vishnudas@berghealth.com.
Rangaprasad SarangarajanBERG, 500 Old Connecticut Path, Bldg. B, Framingham, MA 01701, USA. Rangaprasad.Sarangarajan@Berghealth.com.
Niven R NarainBERG, 500 Old Connecticut Path, Bldg. B, Framingham, MA 01701, USA. Niven.Narain@Berghealth.com.
Michael A KiebishBERG, 500 Old Connecticut Path, Bldg. B, Framingham, MA 01701, USA. Michael.Kiebish@Berghealth.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Interest in the application of metabolomics toward clinical diagnostics development and population health monitoring has grown significantly in recent years. In spite of several advances in analytical and computational tools, obtaining a sufficient number of samples from patients remains an obstacle. The dried blood spot (DBS) and dried urine strip (DUS) methodologies are a minimally invasive sample collection method allowing for the relative simplicity of sample collection and minimal cost. (2) Methods: In the current report, we compared results of targeted metabolomics analyses of four types of human blood sample collection methods (with and without DBS) and two types of urine sample collection (DUS and urine) across several parameters including the metabolite coverage of each matrix and the sample stability for DBS/DUS using commercially available Whatman 903TM paper. The DBS/DUS metabolomics protocols were further applied to examine the temporal metabolite level fluctuations within hours and days of sample collection. (3) Results: Several hundred polar metabolites were monitored using DBS/DUS. Temporal analysis of the polar metabolites at various times of the day and across days identified several species that fluctuate as a function of day and time. In addition, a subset of metabolites were identified to be significantly altered across hours within a day and within successive days of the week. (4) Conclusion: A comprehensive DBS/DUS metabolomics protocol was developed for human blood and urine analyses. The described methodology demonstrates the potential for enabling patients to contribute to the expanding bioanalytical demands of precision medicine and population health studies.

Indexed as

chromatographydried blood spot (DBS)dried urine strip (DUS)humanmass spectrometrymetabolomics

Identifiers

PMID28714878
PMCPMC5618320

What Socratic 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 Socratic graph.