ArticleMolecules (Basel, Switzerland)2022
DIA-Based Proteomic Analysis of Plasma Protein Profiles in Patients with Severe Acute Pancreatitis.
Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Plasma proteomic profiling of septic shock and acute pancreatitis identifies shared signatures and disease-specific pathways.Scientific reports · 2026Article
- Fibulin-1 Improves Caerulein-Induced Acute Pancreatitis In Vitro by Inhibiting Ferroptosis.Journal of biochemical and molecular toxicology · 2026Article
- Proteomic Profiling of EUS-FNA Samples Differentiates Pancreatic Adenocarcinoma from Mass-Forming Chronic Pancreatitis.Biomedicines · 2025Article
- Biomarkers to predict the severity of acute pancreatitis.Frontiers in medicine · 2025Review
- Plasma biomarkers in patients with age-related sarcopenia: a proteomic exploration and experimental validation.Aging clinical and experimental research · 2024Article
- Integration of bile proteomics and metabolomics analyses reveals novel insights into different types of gallstones in a high-altitude area.BMC gastroenterology · 2024Article
- Article
- Hemorheological and Microcirculatory Relations of Acute Pancreatitis.Metabolites · 2022Review
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
Acute pancreatitis (AP) is a pancreatic inflammatory disease that varies greatly in course and severity. To further the understanding of the pathology of AP, we carried out data-independent acquisition-based proteomic analyses using proteins extracted from the plasma of patients with severe acute pancreatitis (SAP) (experimental group) and healthy volunteers (control group). Compared to the control group, there were 35 differentially expressed proteins (DEPs) in the plasma of patients with SAP. Of those, the expression levels for 6 proteins were significantly increased, and 29 proteins were significantly decreased. Moreover, six candidate biomarkers-VWF, ORM2, CD5L, CAT, IGLV3-10, and LTF-were matched as candidate biomarkers of the disease severity of AP. The area under the receiver operating characteristic of 0.903 (95% CI: 0.839, 0.967) indicated that this combination of these six candidate biomarkers had a good prediction accuracy for predicting the severity of AP. Our study provides specific DEPs that may be useful in the diagnosis and prognosis of SAP, which suggests new theoretical bases for the occurrence and development of SAP and offers potential novel treatment strategies for SAP.
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What Socratic holds
Registered trials
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 Socratic graph.