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DIA-Based Proteomic Analysis of Plasma Protein Profiles in Patients with Severe Acute Pancreatitis
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 pa...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230633/ https://www.ncbi.nlm.nih.gov/pubmed/35745003 http://dx.doi.org/10.3390/molecules27123880 |
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author | Li, He Xu, Yansong Zhou, Xin Jin, Taiyang Wang, Ziru Sun, Yuansong Wang, Haiping Jiang, Datong Yin, Chunlin Shen, Bing Song, Kai |
author_facet | Li, He Xu, Yansong Zhou, Xin Jin, Taiyang Wang, Ziru Sun, Yuansong Wang, Haiping Jiang, Datong Yin, Chunlin Shen, Bing Song, Kai |
author_sort | Li, He |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9230633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92306332022-06-25 DIA-Based Proteomic Analysis of Plasma Protein Profiles in Patients with Severe Acute Pancreatitis Li, He Xu, Yansong Zhou, Xin Jin, Taiyang Wang, Ziru Sun, Yuansong Wang, Haiping Jiang, Datong Yin, Chunlin Shen, Bing Song, Kai Molecules Article 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. MDPI 2022-06-17 /pmc/articles/PMC9230633/ /pubmed/35745003 http://dx.doi.org/10.3390/molecules27123880 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, He Xu, Yansong Zhou, Xin Jin, Taiyang Wang, Ziru Sun, Yuansong Wang, Haiping Jiang, Datong Yin, Chunlin Shen, Bing Song, Kai DIA-Based Proteomic Analysis of Plasma Protein Profiles in Patients with Severe Acute Pancreatitis |
title | DIA-Based Proteomic Analysis of Plasma Protein Profiles in Patients with Severe Acute Pancreatitis |
title_full | DIA-Based Proteomic Analysis of Plasma Protein Profiles in Patients with Severe Acute Pancreatitis |
title_fullStr | DIA-Based Proteomic Analysis of Plasma Protein Profiles in Patients with Severe Acute Pancreatitis |
title_full_unstemmed | DIA-Based Proteomic Analysis of Plasma Protein Profiles in Patients with Severe Acute Pancreatitis |
title_short | DIA-Based Proteomic Analysis of Plasma Protein Profiles in Patients with Severe Acute Pancreatitis |
title_sort | dia-based proteomic analysis of plasma protein profiles in patients with severe acute pancreatitis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230633/ https://www.ncbi.nlm.nih.gov/pubmed/35745003 http://dx.doi.org/10.3390/molecules27123880 |
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