Longitudinal Drain-Fluid Proteomics Reveals Procedure-Specific Signatures of Postoperative Leakage after Pancreatic and Colorectal Surgery
Jessernig, A.; Agboola, V. M.; Pfammatter, S.; Tarantino, I.; Polak, R.; Liska, V.; Herrmann, I. K.
Show abstract
Anastomotic leakage is a major complication after gastrointestinal surgery, yet early detection remains limited by nonspecific clinical signs and narrow biomarker panels. Here, we used longitudinal data-independent acquisition proteomics to profile postoperative drain fluid from two surgical cohorts, comprising 33 pancreatic surgery patients with 201 drain-fluid samples and 34 colorectal surgery patients with 143 drain-fluid samples with an observation window of up to 10 days postoperatively. We aimed to define procedure-specific leakage signatures, evaluate established biomarkers across postoperative time, and identify additional candidate markers beyond routinely measured proteins. In pancreatic surgery, established enzyme markers, particularly AMY2A and PNLIP, showed strong early discrimination between leak and non-leak patients, while in colorectal surgery, the same predefined marker strategy performed less consistently. Discovery analysis revealed divergent temporal patterns. Pancreatic leakage was dominated by early (post-operative day (POD) 1-3) enzyme enrichment followed by inflammatory, antimicrobial, oxidative stress, and matrix-remodeling-associated proteins. Colorectal leakage showed strongest divergence around POD3 and was driven largely by reduced abundance of proteins linked to wound healing, including endothelial integrity, extracellular matrix organization, complement regulation, and coagulation balance. From these procedure-specific patterns, PRSS2 and AZU1 were found for pancreatic surgery, and FBLN1 and CDH5 for colorectal surgery, as novel candidate markers for future follow up validation studies establishing their diagnostic potential. Overall, these data show that postoperative leakage follows procedure-specific proteomic trajectories and support drain-fluid proteomics as a framework for biologically informed biomarker discovery beyond routinely measured markers.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A549 tumorigenic and BEAS-2B non-tumorigenic cell line derived small extracellular vesicles show distinct proteomic, N-glycoproteomic and chondroitin/dermatan sulfate profiles 91%
- Glycoinformatic profiling of label-free intact heparan sulfate oligosaccharides 90%
- Generalizable direct protein sequencing with InstaNexus 89%
Similar papers in this journal
- Next generation plasma proteome profiling of COVID-19 patients with mild to moderate symptoms 89%
- Global and single-cell proteomics view of the co-evolution between neural progenitors and breast cancer cells in a co-culture model 89%
- Distinct gut metagenomics and metaproteomics signatures in prediabetics and treatment-naïve type 2 diabetics 89%
Similar papers in this journal
- Proteomic profiling of plasma extracellular vesicles identifies signatures of innate immunity, coagulation, and endothelial activation in septic patients 91%
- Proteogenomic Characterization of Triple-Negative Apocrine Carcinoma Reveals Molecular Features of Progression and Chemotherapy Response 91%
- Proteomic blood profiling in mild, severe and critical COVID-19 patients 91%
Similar papers in this journal
- Data-Independent Acquisition and Quantification of Extracellular Matrix from Human Lung in Chronic Inflammation-Associated Carcinomas 92%
- Mass spectrometry-based quantification of proteins and post-translational modifications in dried blood: longitudinal sampling of patients with sepsis in Tanzania 92%
- Characterization of cytokine treatment on human pancreatic islets by top-down proteomics 91%
Similar papers in this journal
- The heparin-binding proteome in normal pancreas and murine experimental acute pancreatitis 94%
- SWATH-MS based proteomic profiling of Pancreatic Ductal Adenocarcinoma tumours reveals the interplay between the extracellular matrix and related intracellular pathways 94%
- Molecular classification of the placebo effect in nausea 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.