TY - JOUR
T1 - Diet, Gut Microbiome, and Their End Metabolites Associate With Acute Pancreatitis Risk
AU - Yazici, Cemal
AU - Thaker, Sarang
AU - Castellanos, Karla K.
AU - Al Rashdan, Haya
AU - Huang, Yongchao
AU - Sarraf, Paya
AU - Boulay, Brian
AU - Grippo, Paul
AU - Gaskins, H. Rex
AU - Danielson, Kirstie K.
AU - Papachristou, Georgios I.
AU - Tussing-Humphreys, Lisa
AU - Dai, Yang
AU - Mutlu, Ece R.
AU - Layden, Brian T.
N1 - This project was supported by the National Institute of Health (NIH) through grant number KL2TR002002, which provided support for C.Y. Additional support was provided to C.Y. and B.T.L. by National Institute of Diabetes and Digestive and Kidney Disease (NIDDK) through grant number U01DK127378 and to K.C. through grant number 3U01DK127378-02S1. B.T.L. was also supported by grants NIH R01DK104927-01A1, P30DK020595, and VA merit 1I01BX003382-01-A1. The content is solely the responsibility of the authors, was independent of funding support, and does not necessarily represent the official views of the NIH, and the study sponsor did not participate in the study design, data collection, analysis or interpretation.
PY - 2023/5/10
Y1 - 2023/5/10
N2 - INTRODUCTION: 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
2S) 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
2S 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
2S 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
2S-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.
AB - INTRODUCTION: 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
2S) 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
2S 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
2S 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
2S-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.
KW - Acute pancreatitis
KW - diet
KW - hydrogen sulfide
KW - microbiota
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U2 - 10.14309/ctg.0000000000000597
DO - 10.14309/ctg.0000000000000597
M3 - Article
C2 - 37162146
AN - SCOPUS:85160565031
SN - 2155-384X
VL - 14
SP - e00597
JO - Clinical and Translational Gastroenterology
JF - Clinical and Translational Gastroenterology
IS - 7
ER -