Evidence map›Paper›PMID 41975197›Full record

ArticleScientific reports2026

Dried blood spot sample extraction for metabolomics and proteomics profiling for clinical trials: a descriptive exploratory study.

Siri Fägerstam, Emir Johansson, Peder Af Geijerstam, Karin Rådholm, Bijar Ghafouri

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Siri FägerstamDivision of Clinical Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden. siri.fagerstam@liu.se.
Emir JohanssonDivision of Clinical Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Peder Af GeijerstamDivision of Clinical Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Karin RådholmDivision of Clinical Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Bijar GhafouriDivision of Clinical Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarker research relies on venous blood sampling, which demands trained professionals and proper sample handling, presenting challenges for both rural health care providers and large-scale studies. This study aims to investigate the use of dried blood spots (DBS) as a minimally invasive, patient-centric alternative for biomarker discovery in preparation of a decentralized type 2 diabetes (T2D) trial. To optimize and validate the method, DBS were collected from 2 and 14 healthy participants, respectively. Protein extraction was optimized, evaluated, and samples were analyzed by multi-spot antibody assays, two-dimensional gel electrophoresis, liquid chromatography coupled to tandem mass spectrometry, and nuclear magnetic resonance spectroscopy. The main findings revealed adequate extraction from filter paper, with detection of low abundant inflammatory cytokines. Additionally, proteins and metabolites previously implicated in T2D pathophysiology were detected. In conclusion, the findings in this study support DBS-based proteomics and metabolomics for the identification of novel biomarkers associated with human disease, which offers a scalable and accessible alternative to conventional blood sampling methods for clinical trial studies.

Indexed as

Diabetes Mellitus, Type 2Dried Blood Spot TestingMetabolomicsProteomicsAdultBiomarkersChromatography, LiquidClinical Trials as TopicFemaleHumansMaleMiddle AgedTandem Mass SpectrometryBiomarkersBiomarkersBloodOmicsType 2 diabetes

Identifiers

PMID41975197
PMCPMC13076783

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Registered trials

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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.