Literature DB >> 33632713

Metabolic signature might be an option to identify patients with early CP.

Bálint Erőss1, Andrea Szentesi1, Peter Hegyi2.   

Abstract

Entities:  

Keywords:  chronic pancreatitis

Mesh:

Year:  2021        PMID: 33632713      PMCID: PMC8515113          DOI: 10.1136/gutjnl-2021-324206

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


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Metabolites are biomarkers measured in blood, urine, stool and tissue samples, determined by several factors, most importantly by the gut microbiota and changes in the metabolism from underlying diseases. Theoretically, specific diseases lead to changes in both factors that result in specific metabolomic profiles characterising these disorders. In recent years, metabolomic profiling for the diagnosis and the prognostic assessment of GI diseases has been an emerging and new tool; there are examples of metabolomics in diagnosing and assessing chronic GI disorders such as cancers, IBD and cirrhosis.1–6 The recent studies on metabolomics have assessed its potential roles in gastroenterology patients' care, but it is not yet part of the daily routine. In Gut, Adam et al report a very important study, which aimed to assess metabolomics' diagnostic potential in chronic pancreatitis (CP).7 Patients with unequivocally diagnosed CP had been identified by a set of criteria, including radiological changes and severely abnormal pancreatic function tests.8–10 Their metabolomic profiles were compared against three control groups, the first in the identification and then two control groups in the external validation studies. In the three steps of the study, there were three independent CP groups. The authors identified eight metabolites with which the tool can identify CP with an area under the curve (AUC) 0.85 (95% CI: 0.801 to 0.91) from an EDTA blood sample and an AUC 0.87 (95% CI: 0.81 to 0.95) from serum. These results prove that their metabolomic profiling tool has good diagnostic accuracy. We shall ask the question: In which area of daily clinical practice could this new tool be used most effectively? Is it the established CP or early CP? We all know that CP is characterised by the irreversible loss of exocrine and endocrine function of the pancreas from chronic inflammation.11 It is often accompanied by morphological changes of the pancreas detectable by various radiological methods. Notably, the diagnosis of established CP is rarely challenging. Therefore, assessing the cost/benefit ratio and the limited access to the methodology, it is very unlikely that this specific metabolomic profile will be routinely used to diagnose CP. However, the most exciting clinical question is how to identify patients who will develop CP when there are no detectable radiologic features, significant clinical symptoms or overt exocrine insufficiency. Patients with early CP could benefit from interventions, and the full-blown CP could be prevented or significantly delayed. Therefore, we propose that the metabolomic profiles of patients with early CP and a high risk for developing advanced CP are analysed. The question arises, which patient population would benefit the most from the metabolomic test? Our study group just published an analysis of a small cohort in which patients with three or more acute pancreatitis episodes have a high probability of developing CP.12 Therefore, based on Adam et al’s study, we decided to retest our observation in a large international cohort of patients with acute pancreatitis (AP). Between 2012 and 2019, from 13 countries and 30 medical centres, 2461 patients were enroled into the Acute Pancreatitis Registry initiated by the Hungarian Pancreatic Study Group. The AP diagnosis was defined according to the International Association of Pancreatology (IAP)/American Pancreatic Association (APA) guidelines.13 The analysed cohort was representative of the complete AP cohort. The proportion of mild, moderately severe and severe cases was 71.0%, 23.7% and 5.3%. Our data analysis showed that the proportion of patients developing CP is exponentially and directly associated with the number of AP episodes (1.6%, 5.8% and 21% with 1, 2 and 3 AP episodes, respectively, table 1).
Table 1

The proportion of patients in percentages developing CP

Number of acute pancreatitis episodes (n)CP (n)no-CP (n)Number of patients (n)Percentage (%) of the patients developing CP
128170617341.6
2182953135.8
3228310521
421476830.9
515223740.5
614122653.8
71091952.6
8+15112657.7
Total cases143218523286.1

CP, chronic pancreatitis; no-CP, patients without chronic pancreatitis.

The proportion of patients in percentages developing CP CP, chronic pancreatitis; no-CP, patients without chronic pancreatitis. Therefore, we believe that patients with three or more AP episodes with no morphological changes would be the best candidates in a longitudinal clinical trial to test the hypothesis of whether this newly developed metabolomic profile would be a good diagnostic tool to identify patients with early CP.
  13 in total

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Authors:  Urszula Daniluk; Jaroslaw Daniluk; Rafal Kucharski; Tomasz Kowalczyk; Karolina Pietrowska; Paulina Samczuk; Aleksandra Filimoniuk; Adam Kretowski; Dariusz Lebensztejn; Michal Ciborowski
Journal:  Inflamm Bowel Dis       Date:  2019-06-18       Impact factor: 5.325

Review 2.  United European Gastroenterology evidence-based guidelines for the diagnosis and therapy of chronic pancreatitis (HaPanEU).

Authors:  J Matthias Löhr; Enrique Dominguez-Munoz; Jonas Rosendahl; Marc Besselink; Julia Mayerle; Markus M Lerch; Stephan Haas; Fatih Akisik; Nikolaos Kartalis; Julio Iglesias-Garcia; Jutta Keller; Marja Boermeester; Jens Werner; Jean-Marc Dumonceau; Paul Fockens; Asbjorn Drewes; Gürlap Ceyhan; Björn Lindkvist; Joost Drenth; Nils Ewald; Philip Hardt; Enrique de Madaria; Heiko Witt; Alexander Schneider; Riccardo Manfredi; Frøkjer J Brøndum; Sasa Rudolf; Thomas Bollen; Marco Bruno
Journal:  United European Gastroenterol J       Date:  2017-01-16       Impact factor: 4.623

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Authors:  Ayse L Mindikoglu; Antone R Opekun; Nagireddy Putluri; Sridevi Devaraj; David Sheikh-Hamad; John M Vierling; John A Goss; Abbas Rana; Gagan K Sood; Prasun K Jalal; Lesley A Inker; Robert P Mohney; Hocine Tighiouart; Robert H Christenson; Thomas C Dowling; Matthew R Weir; Stephen L Seliger; William R Hutson; Charles D Howell; Jean-Pierre Raufman; Laurence S Magder; Cristian Coarfa
Journal:  Transl Res       Date:  2017-12-12       Impact factor: 7.012

4.  Chronic pancreatitis--definition, etiology, investigation and treatment.

Authors:  Julia Mayerle; Albrecht Hoffmeister; Jens Werner; Heiko Witt; Markus M Lerch; Joachim Mössner
Journal:  Dtsch Arztebl Int       Date:  2013-05-31       Impact factor: 5.594

5.  Increased Levels of Branched-Chain Amino Acid Associated With Increased Risk of Pancreatic Cancer in a Prospective Case-Control Study of a Large Cohort.

Authors:  Ryoko Katagiri; Atsushi Goto; Takashi Nakagawa; Shin Nishiumi; Takashi Kobayashi; Akihisa Hidaka; Sanjeev Budhathoki; Taiki Yamaji; Norie Sawada; Taichi Shimazu; Manami Inoue; Motoki Iwasaki; Masaru Yoshida; Shoichiro Tsugane
Journal:  Gastroenterology       Date:  2018-08-01       Impact factor: 22.682

6.  Serum metabolomics analysis for early detection of colorectal cancer.

Authors:  Kazuhiko Uchiyama; Nobuaki Yagi; Katsura Mizushima; Yasuki Higashimura; Yasuko Hirai; Tetsuya Okayama; Naohisa Yoshida; Kazuhiro Katada; Kazuhiro Kamada; Osamu Handa; Takeshi Ishikawa; Tomohisa Takagi; Hideyuki Konishi; Yoshiaki Kuriu; Masayoshi Nakanishi; Eigo Otsuji; Yoshito Itoh; Yuji Naito
Journal:  J Gastroenterol       Date:  2016-09-20       Impact factor: 7.527

7.  Metabolomics in the Clinical Diagnosis of Inflammatory Bowel Disease.

Authors:  Vicky De Preter
Journal:  Dig Dis       Date:  2015-09-14       Impact factor: 2.404

8.  Serum and urinary metabolomics and outcomes in cirrhosis.

Authors:  Jasmohan S Bajaj; Sili Fan; Leroy R Thacker; Andrew Fagan; Edith Gavis; Melanie B White; Douglas M Heuman; Michael Fuchs; Oliver Fiehn
Journal:  PLoS One       Date:  2019-09-27       Impact factor: 3.240

9.  Evidence for diagnosis of early chronic pancreatitis after three episodes of acute pancreatitis: a cross-sectional multicentre international study with experimental animal model.

Authors:  Péter J Hegyi; Alexandra Soós; Emese Tóth; Attila Ébert; Viktória Venglovecz; Katalin Márta; Péter Mátrai; Alexandra Mikó; Judit Bajor; Patrícia Sarlós; Áron Vincze; Adrienn Halász; Ferenc Izbéki; Zoltán Szepes; László Czakó; György Kovács; Mária Papp; Zsolt Dubravcsik; Márta Varga; József Hamvas; Balázs C Németh; Melania Macarie; Ali Tüzün Ince; Dmitry S Bordin; Elena A Dubtsova; Mariya A Kiryukova; Igor E Khatkov; Tanya Bideeva; Artautas Mickevicius; Elena Ramírez-Maldonado; Ville Sallinen; Bálint Erőss; Dániel Pécsi; Andrea Szentesi; Andrea Párniczky; László Tiszlavicz; Péter Hegyi
Journal:  Sci Rep       Date:  2021-01-14       Impact factor: 4.379

10.  Identification and validation of a multivariable prediction model based on blood plasma and serum metabolomics for the distinction of chronic pancreatitis subjects from non-pancreas disease control subjects.

Authors:  M Gordian Adam; Georg Beyer; Julia Mayerle; Markus M Lerch; Nicole Christiansen; Beate Kamlage; Christian Pilarsky; Marius Distler; Tim Fahlbusch; Ansgar Chromik; Fritz Klein; Marcus Bahra; Waldemar Uhl; Robert Grützmann; Ujjwal M Mahajan; Frank U Weiss
Journal:  Gut       Date:  2021-02-04       Impact factor: 23.059

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