Evidence map›Paper›PMID 33941778›Full record

ArticleNature communications2021

Next generation plasma proteome profiling to monitor health and disease.

Wen Zhong, Fredrik Edfors, Anders Gummesson, Göran Bergström, Linn Fagerberg, Mathias Uhlén

Open access · goldFull text read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
10.2field-weighted citation impact, top 1% of its field
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

77 citing papers in PubMed, 135 citations in OpenAlex.

  1. Article
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  9. CSF Proteins Associated With Neuroaxonal Damage in Early Active Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2026
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  20. Long-term temporal stability of circulating proteins in older adults.bioRxiv : the preprint server for biology · 2025
    Article

17 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Wen ZhongScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-7422-6104
Fredrik EdforsScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-0017-7987
Anders GummessonDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.ORCID 0000-0003-0024-960X
Göran BergströmDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Linn FagerbergScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0003-0198-7137
Mathias UhlénScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden. mathias.uhlen@scilifelab.se.ORCID 0000-0002-4858-8056
Science for Life Laboratory · SESahlgrenska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The need for precision medicine approaches to monitor health and disease makes it important to develop sensitive and accurate assays for proteome profiles in blood. Here, we describe an approach for plasma profiling based on proximity extension assay combined with next generation sequencing. First, we analyze the variability of plasma profiles between and within healthy individuals in a longitudinal wellness study, including the influence of genetic variations on plasma levels. Second, we follow patients newly diagnosed with type 2 diabetes before and during therapeutic intervention using plasma proteome profiling. The studies show that healthy individuals have a unique and stable proteome profile and indicate that a panel of proteins could potentially be used for early diagnosis of diabetes, including stratification of patients with regards to response to metformin treatment. Although validation in larger cohorts is needed, the analysis demonstrates the usefulness of comprehensive plasma profiling for precision medicine efforts.

Indexed as

AgedBlood ProteinsDiabetes Mellitus, Type 2Early DiagnosisFemaleGenetic VariationHigh-Throughput Nucleotide SequencingHumansHypoglycemic AgentsLongitudinal StudiesMaleMetforminMiddle AgedPlasmaPrecision MedicineProteomeBlood ProteinsHypoglycemic AgentsMetforminProteome

Identifiers

PMID33941778
PMCPMC8093230
OpenAlexW3159120273

What OpenQuestion holds

Textfull text, public
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 OpenQuestion graph.