Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Proteome-assisted multi-feature discriminant modelling of chronic post-surgical pain in female patients: A proof-of-concept study.

Pharmacological research - 1 May 2026

Haroutounian Simon, Segelcke Daniel, Sondermann Julia R, Pradier Bruno, Vollert Jan, Xian Feng, Alaverdyan Harutyun, Holzer Katherine J, Bernstein Haley, Bulenda Charlotte, Schmidt Manuela, Pogatzki-Zahn Esther Miriam

Abstract excerpt

Pain after surgery is of major perioperative concern because it is associated with substantial complications, including chronic post-surgical pain (CPSP) development. The CPSP incidence is high, and its accurate prediction or prevention has been so far unsuccessful. Based on experimental studies in healthy volunteers, we hypothesised that pre-surgical plasma proteome data and multi-feature discriminant modelling...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Blood Proteins
Share to Case-Control Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Chronic Pain

Share to Discriminant Analysis

Share to Hysterectomy

Share to Proof of Concept Study

Share to Proteome

Share to Proteomics

Source

Identifiers

PMID: 41903681
DOI: 10.1016/j.phrs.2026.108175

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Proteome-assisted multi-feature discriminant modelling of chronic post-surgical pain in female patients: A proof-of-concept study.PMID 41903681Read ↗

BLOOD PROTEOMICS AND PAIN - A TRANSLATIONAL STUDY TO PROGNOSTICATE PAIN PHENOTYPES AND ASSESS NEW BIOMARKERS FOR PREVENTING PAIN IN HUMANSSemantic proximity Read ↗

A Biomarker-Centric Framework for the Prediction of Future Chronic PainSemantic proximity Read ↗

A Biomarker-Based Framework for the Prediction of Future Chronic PainSemantic proximity Read ↗

Systems biology-based approaches to summarize and identify novel genes and pathways associated with acute and chronic postsurgical pain.Semantic proximity Read ↗

Development and application of predictive clinical biomarkers for low back pain care: recommendations from the ISSLS phenotype/precision spine focus group.Semantic proximity Read ↗

Genome-wide association studies with experimental validation identify a protective role for B lymphocytes against chronic post-surgical pain.Semantic proximity Read ↗

Species-specific cutaneous protein signatures upon incision injury and correlation with distinct pain-related phenotypes in humansSemantic proximity Read ↗

Fatigue Links Sociodemographic Risk to Pain Intensity and Spread in Two Surgical CohortsSemantic proximity Read ↗

A Metabolic-Inflammatory Phenotype of Pelvic Floor Dysfunction: A Machine Learning-Based Discovery in a Nationally Representative U.S. CohortSemantic proximity Read ↗

Development of a Dynamic Multi-Protein Signature of Postoperative DeliriumSemantic proximity Read ↗

Urine Proteins Stratify Patient Symptom Severity Phenotypes in Urologic Chronic Pelvic Pain Syndrome: A Multidisciplinary Approach to the Study of Chronic Pelvic Pain Research Network Study.Semantic proximity Read ↗

A Combined Bioinformatics and Clinical Validation Approach Identifies CEACAM1 and RRAS2 as Key SASP-Related Biomarkers in Neuropathic PainSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.