Evidence map›Paper›PMID 41692724›Full record

ArticleClinical proteomics2026

Shake and bake: a robust and cost-effective proteomic sample preparation workflow for plasma and cerebrospinal fluid.

John Rönnholm, Sophia Weiner, Johannes Fuchs, Annika Thorsell, Carina Sihlbom, Laura Dugom, Amy Easton, Henrik Zetterberg, Johan Gobom

Abstract read
In one paragraph

Article in Clinical proteomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

John RönnholmDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Sophia WeinerDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Johannes FuchsProteomics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Annika ThorsellProteomics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Carina SihlbomProteomics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Laura DugomTarget ALS Foundation, NY, New York, USA.
Amy EastonTarget ALS Foundation, NY, New York, USA.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Johan GobomDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden. johan.gobom@neuro.gu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlasma and cerebrospinal fluid are complementary sources of biomarkers for neurodegenerative diseases. The wide dynamic range of protein abundances, particularly in plasma, hampers detection of low-abundance proteins. Depletion of high-abundance proteins and efficient enzymatic digestion can improve proteome coverage but must be carefully optimized for reproducibility, throughput, and cost-efficiency for use in large-scale clinical proteomic studies.

methodsWe developed a scalable sample preparation workflow for plasma and cerebrospinal fluid (CSF) that integrates depletion of high-abundance proteins, optimized digestion using Lys-C and trypsin, and compatibility with both label-free and tandem mass tag (TMTpro)-based quantification. Depletion was performed using a multi-affinity resin with immobilized antibodies targeting 14 high-abundance plasma proteins, which collectively constitute ≈ 95% of total plasma protein content. We systematically evaluated protein depletion and enzyme digestion conditions, and the effect of deoxycholate on digestion, monitoring the number of detectable proteins and the quantitation precision.

resultsA resin-to-plasma ratio of ≥ 75 and a mixing speed of 900 rpm ensured complete and reproducible depletion. Depletion resulted in an increase in the number of identified proteins by ~ 65% in CSF, and ~ 80% in plasma, tripling the number of brain-enriched proteins, with maintained quantitative precision (median coefficient of variation (CV) for relative protein abundances < 11%). A two-step digestion protocol using Lys-C/trypsin followed by trypsin yielded the highest reproducibility and detectability in plasma. Adding the detergent deoxycholate to the samples had little effect in CSF and only marginally improved proteome coverage for plasma but decreased quantification precision and throughput. Technical replicates from a 528-sample clinical amyotrophic lateral sclerosis (ALS) cohort showed high reproducibility, with intra-sample CVs substantially lower than inter-individual variation.

conclusionsThe sample preparation workflow described here enabled deep and reproducible proteome profiling of plasma and CSF in high-throughput formats and was found to be suitable for biomarker discovery in large clinical studies.

Indexed as

CSF proteomicsDIANeurodegenerative diseasesPlasma proteomicsProtein depletionQuantificationSample preparationTMT

Identifiers

PMID41692724
PMCPMC12927225

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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.