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Diet, Gut Microbiome, and Their End Metabolites Associate With Acute Pancreatitis Risk

Diet and decreased gut microbiome diversity has been associated with acute pancreatitis (AP) risk. However, differences in dietary intake, gut microbiome, and their impact on microbial end metabolites have not been studied in AP. We aimed to determine differences in (i) dietary intake (ii) gut micro...

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Autores principales: Yazici, Cemal, Thaker, Sarang, Castellanos, Karla K., Al Rashdan, Haya, Huang, Yongchao, Sarraf, Paya, Boulay, Brian, Grippo, Paul, Gaskins, H. Rex, Danielson, Kirstie K., Papachristou, Georgios I., Tussing-Humphreys, Lisa, Dai, Yang, Mutlu, Ece R., Layden, Brian T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371326/
https://www.ncbi.nlm.nih.gov/pubmed/37162146
http://dx.doi.org/10.14309/ctg.0000000000000597
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author Yazici, Cemal
Thaker, Sarang
Castellanos, Karla K.
Al Rashdan, Haya
Huang, Yongchao
Sarraf, Paya
Boulay, Brian
Grippo, Paul
Gaskins, H. Rex
Danielson, Kirstie K.
Papachristou, Georgios I.
Tussing-Humphreys, Lisa
Dai, Yang
Mutlu, Ece R.
Layden, Brian T.
author_facet Yazici, Cemal
Thaker, Sarang
Castellanos, Karla K.
Al Rashdan, Haya
Huang, Yongchao
Sarraf, Paya
Boulay, Brian
Grippo, Paul
Gaskins, H. Rex
Danielson, Kirstie K.
Papachristou, Georgios I.
Tussing-Humphreys, Lisa
Dai, Yang
Mutlu, Ece R.
Layden, Brian T.
author_sort Yazici, Cemal
collection PubMed
description Diet and decreased gut microbiome diversity has been associated with acute pancreatitis (AP) risk. However, differences in dietary intake, gut microbiome, and their impact on microbial end metabolites have not been studied in AP. We aimed to determine differences in (i) dietary intake (ii) gut microbiome diversity and sulfidogenic bacterial abundance, and (iii) serum short-chain fatty acid (SCFA) and hydrogen sulfide (H(2)S) concentrations in AP and control subjects. METHODS: This case-control study recruited 54 AP and 46 control subjects during hospitalization. Clinical and diet data and stool and blood samples were collected. 16S rDNA sequencing was used to determine gut microbiome alpha diversity and composition. Serum SCFA and H(2)S levels were measured. Machine learning (ML) model was used to identify microbial targets associated with AP. RESULTS: AP patients had a decreased intake of vitamin D(3), whole grains, fish, and beneficial eicosapentaenoic, docosapentaenoic, and docosahexaenoic acids. AP patients also had lower gut microbiome diversity (P = 0.021) and a higher abundance of sulfidogenic bacteria including Veillonella sp. and Haemophilus sp., which were associated with AP risk. Serum acetate and H(2)S concentrations were significantly higher in the AP group (P < 0.001 and P = 0.043, respectively). ML model had 96% predictive ability to distinguish AP patients from controls. DISCUSSION: AP patients have decreased beneficial nutrient intake and gut microbiome diversity. An increased abundance of H(2)S-producing genera in the AP and SCFA-producing genera in the control group and predictive ability of ML model to distinguish AP patients indicates that diet, gut microbiota, and their end metabolites play a key role in AP.
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spelling pubmed-103713262023-07-27 Diet, Gut Microbiome, and Their End Metabolites Associate With Acute Pancreatitis Risk Yazici, Cemal Thaker, Sarang Castellanos, Karla K. Al Rashdan, Haya Huang, Yongchao Sarraf, Paya Boulay, Brian Grippo, Paul Gaskins, H. Rex Danielson, Kirstie K. Papachristou, Georgios I. Tussing-Humphreys, Lisa Dai, Yang Mutlu, Ece R. Layden, Brian T. Clin Transl Gastroenterol Article Diet and decreased gut microbiome diversity has been associated with acute pancreatitis (AP) risk. However, differences in dietary intake, gut microbiome, and their impact on microbial end metabolites have not been studied in AP. We aimed to determine differences in (i) dietary intake (ii) gut microbiome diversity and sulfidogenic bacterial abundance, and (iii) serum short-chain fatty acid (SCFA) and hydrogen sulfide (H(2)S) concentrations in AP and control subjects. METHODS: This case-control study recruited 54 AP and 46 control subjects during hospitalization. Clinical and diet data and stool and blood samples were collected. 16S rDNA sequencing was used to determine gut microbiome alpha diversity and composition. Serum SCFA and H(2)S levels were measured. Machine learning (ML) model was used to identify microbial targets associated with AP. RESULTS: AP patients had a decreased intake of vitamin D(3), whole grains, fish, and beneficial eicosapentaenoic, docosapentaenoic, and docosahexaenoic acids. AP patients also had lower gut microbiome diversity (P = 0.021) and a higher abundance of sulfidogenic bacteria including Veillonella sp. and Haemophilus sp., which were associated with AP risk. Serum acetate and H(2)S concentrations were significantly higher in the AP group (P < 0.001 and P = 0.043, respectively). ML model had 96% predictive ability to distinguish AP patients from controls. DISCUSSION: AP patients have decreased beneficial nutrient intake and gut microbiome diversity. An increased abundance of H(2)S-producing genera in the AP and SCFA-producing genera in the control group and predictive ability of ML model to distinguish AP patients indicates that diet, gut microbiota, and their end metabolites play a key role in AP. Wolters Kluwer 2023-05-10 /pmc/articles/PMC10371326/ /pubmed/37162146 http://dx.doi.org/10.14309/ctg.0000000000000597 Text en © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The American College of Gastroenterology https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Article
Yazici, Cemal
Thaker, Sarang
Castellanos, Karla K.
Al Rashdan, Haya
Huang, Yongchao
Sarraf, Paya
Boulay, Brian
Grippo, Paul
Gaskins, H. Rex
Danielson, Kirstie K.
Papachristou, Georgios I.
Tussing-Humphreys, Lisa
Dai, Yang
Mutlu, Ece R.
Layden, Brian T.
Diet, Gut Microbiome, and Their End Metabolites Associate With Acute Pancreatitis Risk
title Diet, Gut Microbiome, and Their End Metabolites Associate With Acute Pancreatitis Risk
title_full Diet, Gut Microbiome, and Their End Metabolites Associate With Acute Pancreatitis Risk
title_fullStr Diet, Gut Microbiome, and Their End Metabolites Associate With Acute Pancreatitis Risk
title_full_unstemmed Diet, Gut Microbiome, and Their End Metabolites Associate With Acute Pancreatitis Risk
title_short Diet, Gut Microbiome, and Their End Metabolites Associate With Acute Pancreatitis Risk
title_sort diet, gut microbiome, and their end metabolites associate with acute pancreatitis risk
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371326/
https://www.ncbi.nlm.nih.gov/pubmed/37162146
http://dx.doi.org/10.14309/ctg.0000000000000597
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