Delayed Processing of Secretin-Induced Pancreas Fluid Influences the Quality and Integrity of Proteins and Nucleic Acids.
Biomarkers
/ analysis
Cold Temperature
DNA Damage
Endoscopy, Digestive System
Freezing
Humans
Nucleic Acids
/ analysis
Pancreatic Diseases
/ diagnosis
Pancreatic Function Tests
Pancreatic Juice
/ chemistry
Predictive Value of Tests
Protease Inhibitors
/ pharmacology
Protein Stability
Proteins
/ analysis
Proteolysis
RNA Stability
Ribonucleases
/ antagonists & inhibitors
Secretin
/ administration & dosage
Specimen Handling
Time Factors
Workflow
Journal
Pancreas
ISSN: 1536-4828
Titre abrégé: Pancreas
Pays: United States
ID NLM: 8608542
Informations de publication
Date de publication:
01 01 2021
01 01 2021
Historique:
entrez:
28
12
2020
pubmed:
29
12
2020
medline:
15
12
2021
Statut:
ppublish
Résumé
Endoscopic pancreatic function tests are used to diagnose pancreatic diseases and are a viable source for the discovery of biomarkers to better characterize pancreatic disorders. However, pancreatic fluid (PF) contains active enzymes that degrade biomolecules. Therefore, we tested how preservation methods and time to storage influence the integrity and quality of proteins and nucleic acids. We obtained PF from 9 subjects who underwent an endoscopic pancreatic function test. Samples were snap frozen at the time of collection; after 1, 2, and 4 hours on ice; or after storage overnight at 4°C with or without RNase or protease inhibitors (PIs). Electrophoresis and mass spectrometry analysis determined protein abundance and quality, whereas nucleic acid integrity values determined DNA and RNA degradation. Protein degradation increased after 4 hours on ice and DNA degradation after 2 hours on ice. Adding PIs delayed degradation. RNA was significantly degraded under all conditions compared with the snap frozen samples. Isolated RNA from PF-derived exosomes exhibited similar poor quality as RNA isolated from matched PF samples. Adding PIs immediately after collecting PF and processing the fluid within 4 hours of collection maintains the protein and nucleic acid integrity for use in downstream molecular analyses.
Identifiants
pubmed: 33370019
doi: 10.1097/MPA.0000000000001717
pii: 00006676-202101000-00004
pmc: PMC7883383
mid: NIHMS1668851
doi:
Substances chimiques
Biomarkers
0
Nucleic Acids
0
Protease Inhibitors
0
Proteins
0
Secretin
1393-25-5
Ribonucleases
EC 3.1.-
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
17-28Subventions
Organisme : NIDDK NIH HHS
ID : U01 DK108326
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK108327
Pays : United States
Informations de copyright
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
Déclaration de conflit d'intérêts
Z.C.-M., P.A.H., G.B.L., and D.Y. received pilot funds from ChiRhoClin Research Institute, Inc. The rest of the authors declare no conflict of interest.
Références
Serrano J, Andersen DK, Forsmark CE, et al. Consortium for the study of chronic pancreatitis, diabetes, and pancreatic cancer: from concept to reality. Pancreas . 2018;47:1208–1212.
Whitcomb DC, Frulloni L, Garg P, et al. Chronic pancreatitis: an international draft consensus proposal for a new mechanistic definition. Pancreatology . 2016;16:218–224.
Hasan S, Jacob R, Manne U, et al. Advances in pancreatic cancer biomarkers. Oncol Rev . 2019;13:410.
Forsmark CE. The early diagnosis of chronic pancreatitis. Clin Gastroenterol Hepatol . 2008;6:1291–1293.
Dupuis CS, Baptista V, Whalen G, et al. Diagnosis and management of acute pancreatitis and its complications. Gastrointestinal Intervention . 2013;2:36–46.
Hart PA, Topazian M, Raimondo M, et al. Endoscopic pancreas fluid collection: methods and relevance for clinical care and translational science. Am J Gastroenterol . 2016;111:1258–1266.
Conwell DL, Lee LS, Yadav D, et al. American pancreatic association practice guidelines in chronic pancreatitis: evidence-based report on diagnostic guidelines. Pancreas . 2014;43:1143–1162.
Whitcomb DC, Shimosegawa T, Chari ST, et al. International consensus statements on early chronic pancreatitis. Recommendations from the working group for the international consensus guidelines for chronic pancreatitis in collaboration with the International Association of Pancreatology, American Pancreatic Association, Japan Pancreas Society, PancreasFest Working Group and European Pancreatic Club. Pancreatology . 2018;18:516–527.
Kuhlmann L, Olesen SS, Olesen AE, et al. Mechanism-based pain management in chronic pancreatitis - is it time for a paradigm shift? Expert Rev Clin Pharmacol . 2019;12:249–258.
Wu B, Conwell DL. The endoscopic pancreatic function test. Am J Gastroenterol . 2009;104:2381–2383.
Paulo JA, Kadiyala V, Gaun A, et al. Analysis of endoscopic pancreatic function test (ePFT)-collected pancreatic fluid proteins precipitated via ultracentrifugation. JOP . 2013;14:176–186.
Paulo JA, Kadiyala V, Brizard S, et al. Post-translational modifications of pancreatic fluid proteins collected via the endoscopic pancreatic function test (ePFT). J Proteomics . 2013;92:216–227.
Paulo JA, Lee LS, Wu B, et al. Identification of pancreas-specific proteins in endoscopically (endoscopic pancreatic function test) collected pancreatic fluid with liquid chromatography–tandem mass spectrometry. Pancreas . 2010;39:889–896.
Conwell DL, Zuccaro G, Morrow JB, et al. Analysis of duodenal drainage fluid after cholecystokinin (CCK) stimulation in healthy volunteers. Pancreas . 2002;25:350–354.
Conwell DL, Zuccaro G Jr, Vargo JJ, et al. An endoscopic pancreatic function test with synthetic porcine secretin for the evaluation of chronic abdominal pain and suspected chronic pancreatitis. Gastrointest Endosc . 2003;57:37–40.
Conwell DL, Zuccaro G, Purich E, et al. The effect of moderate sedation on exocrine pancreas function in normal healthy subjects: a prospective, randomized, cross-over trial using the synthetic porcine secretin stimulated endoscopic pancreatic function test (ePFT). Am J Gastroenterol . 2005;100:1161–1166.
Uc A, Andersen DK, Bellin MD, et al. Chronic pancreatitis in the 21st century — research challenges and opportunities: summary of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop. Pancreas . 2016;45:1365–1375.
Paulo JA, Lee LS, Wu B, et al. Optimized sample preparation of endoscopic collected pancreatic fluid for SDS-PAGE analysis. Electrophoresis . 2010;31:2377–2387.
Fisher WE, Cruz-Monserrate Z, McElhany AL, et al. Standard operating procedures for biospecimen collection, processing, and storage: from the Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer. Pancreas . 2018;47:1213–1221.
Tabb DL, Fernando CG, Chambers MC. MyriMatch: highly accurate tandem mass spectral peptide identification by multivariate hypergeometric analysis. J Proteome Res . 2007;6:654–661.
Eng JK, Jahan TA, Hoopmann MR. Comet: an open-source MS/MS sequence database search tool. Proteomics . 2013;13:22–24.
Craig R, Beavis RC. TANDEM: matching proteins with tandem mass spectra. Bioinformatics . 2004;20:1466–1467.
Elias JE, Gygi SP. Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry. Nat Methods . 2007;4:207–214.
Röst HL, Sachsenberg T, Aiche S, et al. OpenMS: a flexible open-source software platform for mass spectrometry data analysis. Nat Methods . 2016;13:741–748.
Serang O, MacCoss MJ, Noble WS. Efficient marginalization to compute protein posterior probabilities from shotgun mass spectrometry data. J. Proteome Res . 2010;9:5346–5357.
Yadav D, Park WG, Fogel EL, et al. PROspective evaluation of Chronic pancreatitis for EpidEmiologic and translational stuDies: rationale and study design for PROCEED from the Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer. Pancreas . 2018;47:1229–1238.
Grønborg M, Bunkenborg J, Kristiansen TZ, et al. Comprehensive proteomic analysis of human pancreatic juice. J Proteome Res . 2004;3:1042–1055.
Paulo JA, Lee LS, Wu B, et al. Cytokine profiling of pancreatic fluid using the ePFT collection method in tandem with a multiplexed microarray assay. J Immunol Methods . 2011;369:98–107.
Paulo JA, Lee LS, Wu B, et al. Mass spectrometry-based proteomics of endoscopically collected pancreatic fluid in chronic pancreatitis research. Proteomics Clin Appl . 2011;5:109–120.
Narayanan R. Phenome-genome association studies of pancreatic cancer: new targets for therapy and diagnosis. Cancer Genomics Proteomics . 2015;12:9–19.
Mateos RN, Nakagawa H, Hirono S, et al. Genomic analysis of pancreatic juice DNA assesses malignant risk of intraductal papillary mucinous neoplasm of pancreas. Cancer Med . 2019;8:4565–4573.
Ohtsubo K, Watanabe H, Yao F, et al. Preproenkephalin hypermethylation in the pure pancreatic juice compared with p53 mutation in the diagnosis of pancreatic carcinoma. J Gastroenterol . 2006;41:791–797.
Sadakari Y, Ohtsuka T, Ohuchida K, et al. MicroRNA expression analyses in preoperative pancreatic juice samples of pancreatic ductal adenocarcinoma. JOP . 2010;11:587–592.
Ohuchida K, Mizumoto K, Ogura Y, et al. Quantitative assessment of telomerase activity and human telomerase reverse transcriptase messenger RNA levels in pancreatic juice samples for the diagnosis of pancreatic cancer. Clin Cancer Res . 2005;11:2285–2292.
Hilmer AJ, Jeffrey RB, Park WG, et al. Cholestyramine as a promising, strong anion exchange resin for direct capture of genetic biomarkers from raw pancreatic fluids. Biotechnol Bioeng . 2017;114:934–938.
Choi MH, Mejlaender-Andersen E, Manueldas S, et al. Mutation analysis by deep sequencing of pancreatic juice from patients with pancreatic ductal adenocarcinoma. BMC Cancer . 2019;19:11.
Wang J, Raimondo M, Guha S, et al. Circulating microRNAs in pancreatic juice as candidate biomarkers of pancreatic cancer. J Cancer . 2014;5:696–705.
Melo SA, Luecke LB, Kahlert C, et al. Glypican-1 identifies cancer exosomes and detects early pancreatic cancer. Nature . 2015;523:177–182.
Nuzhat Z, Palma C, Rice GE, et al. Exosomes in pancreatic juice as valuable source of biomarkers for early diagnosis of pancreatic cancer. Transl Cancer Res . 2017;6(Suppl 8):S1339–S1351.
Nakamura S, Sadakari Y, Ohtsuka T, et al. Pancreatic juice exosomal microRNAs as biomarkers for detection of pancreatic ductal adenocarcinoma. Ann Surg Oncol . 2019;26:2104–2111.
Pepe MS, Feng Z, Janes H, et al. Pivotal evaluation of the accuracy of a biomarker used for classification or prediction: standards for study design. J Natl Cancer Inst . 2008;100:1432–1438.