PXD033592-1

PXD033592 is an original dataset announced via ProteomeXchange.

Title	Blood proteomics and multimodal risk profiling of human volunteers after incision injury: a translational study for advancing personalized pain management after surgery
Description	A significant number of patients develop chronic pain after surgery, but prediction of those who are at risk is currently not possible. Thus, prognostic prediction models that include bio-psycho, social and physiological factors in line with the complex nature of chronic pain would be urgently required. Here, we performed a translational study in male volunteers before an experimental incision injury. We determined multi-modal factors ranging from pain characteristics, psychological questionnaires to blood proteomics. Outcome measures after incision were pain intensity ratings and the extent of the area of hyperalgesia to mechanical stimuli surrounding the incision as a proxy of central sensitization. A multi-step logistic regression analysis was performed to predict outcome measures based on feature combinations using data-driven cross-validation and prognostic model development. Phenotype-based stratification resulted in the identification of low and high responders for both outcome measures. Regression analysis revealed prognostic proteomic, specific psychophysical and psychological parameters. A combinatorial set of distinct parameters enabled us to predict outcome measures with increased accuracy compared to using single features. Remarkably, in high responders, protein network analysis suggested a protein signature characteristic for low-grade inflammation. Alongside, in silico drug repurposing highlighted potential treatment options employing antidiabetic and anti-inflammatory drugs. Taken together, we present here an integrated pipeline that harnesses bio-psycho-physiological data for prognostic prediction in a translational approach. This pipeline opens new avenues for clinical application with the goal tostratify patients and identify potential new targets as well as mechanistic correlates for postsurgical pain.
HostingRepository	PRIDE
AnnounceDate	2025-01-17
AnnouncementXML	Submission_2025-01-17_02:27:26.976.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Manuela Schmidt
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	carbamoylated residue; acetylated residue; monohydroxylated residue
Instrument	Orbitrap Exploris 480

Revision	Datetime	Status	ChangeLog Entry
0	2022-05-04 09:15:27	ID requested
⏵ 1	2025-01-17 02:27:27	announced

10.1016/J.PHRS.2025.107580;

submitter keyword: proteomics, blood plasma, prognostic marker, post-surgical pain,DIA LC-MS

Prof. Manuela
contact affiliation	Systems Biology of Pain, Head of the Division of Pharmacology & Toxicology, Department of Pharmaceutical Sciences, University of Vienna
contact email	manuela_schmidt@univie.ac.at
lab head
Manuela Schmidt
contact affiliation	Systems Biology of Pain Head of the Division of Pharmacology & Toxicology Department of Pharmaceutical Sciences University of Vienna
contact email	manuela_schmidt@univie.ac.at
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD033592
     1. Label: PRIDE project
     2. Name: Blood proteomics and multimodal risk profiling of human volunteers after incision injury: a translational study for advancing personalized pain management after surgery