Individualized Dynamics in the Gut Microbiota Precede Crohn's Disease Flares

被引:53
作者
Braun, Tzipi [1 ]
Di Segni, Ayelet [1 ]
BenShoshan, Marina [1 ,2 ]
Neuman, Sandra [3 ]
Levhar, Nina [3 ]
Bubis, Michael [3 ]
Picard, Orit [3 ]
Sosnovski, Katya [1 ,2 ]
Efroni, Gilat [1 ]
Barhom, Sarit Farage [1 ]
Saar, Efrat Glick [1 ]
Lahad, Avishay [2 ,4 ]
Weiss, Batia [2 ,4 ]
Yablecovitch, Doron [2 ,3 ]
Lahat, Adi [2 ,3 ]
Eliakim, Rami [2 ,3 ]
Kopylov, Uri [2 ,3 ]
Ben-Horin, Shomron [2 ,3 ]
Haberman, Yael [2 ,4 ,5 ]
机构
[1] Sheba Med Ctr, Canc Res Ctr, Tel Hashomer, Israel
[2] Tel Aviv Univ, Sackler Fac Med, Tel Aviv, Israel
[3] Sheba Med Ctr, Dept Gastroenterol, Tel Hashomer, Israel
[4] Edmond & Lily Safra Childrens Hosp, Sheba Med Ctr, Pediat Gastroenterol Unit, Tel Hashomer, Israel
[5] Univ Cincinnati, Cincinnati Childrens Hosp Med Ctr, Dept Pediat, Coll Med, Cincinnati, OH 45221 USA
基金
以色列科学基金会;
关键词
SMALL-BOWEL; CAPSULE ENDOSCOPY; INFLAMMATION; BIOMARKERS; DYSBIOSIS; RELAPSE; INDEX;
D O I
10.14309/ajg.0000000000000136
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
OBJECTIVES: Crohn's disease (CD) is a chronic relapsing-remitting gut inflammatory disorder with a heterogeneous unpredictable course. Dysbiosis occurs in CD; however, whether microbial dynamics in quiescent CD are instrumental in increasing the risk of a subsequent flare remains undefined. METHODS: We analyzed the long-term dynamics of microbial composition in a prospective observational cohort of patients with quiescent CD (45 cases, 217 samples) over 2 years or until clinical flare occurred, aiming to identify whether changes in the microbiome precede and predict clinical relapse. Machine learning was used to prioritize microbial and clinical factors that discriminate between relapsers and nonrelapsers in the quiescent phase. RESULTS: Patients with CD in clinical, biomarker, and mucosal remission showed significantly reduced microbial richness and increased dysbiosis index compared with healthy controls. Of the 45 patients with quiescent CD, 12 (27%) flared during follow-up. Samples in quiescent patients preceding flare showed significantly reduced abundance of Christensenellaceae and S24.7, and increased abundance of Gemellaceae compared with those in remission throughout. A composite flare index was associated with a subsequent flare. Notably, higher individualized microbial instability in the quiescent phase was associated with a higher risk of a subsequent flare (hazard ratio 11.32, 95% confidence interval 3-42, P = 0.0035) using two preflare samples. Importantly, machine learning prioritized the flare index and the intrapersonal instability over clinical factors to best discriminate between relapsers and nonrelapsers. DISCUSSION: Individualized microbial variations in quiescent CD significantly increase the risk of future exacerbation and may provide a model to guide personalized preemptive therapy intensification.
引用
收藏
页码:1142 / 1151
页数:10
相关论文
共 38 条
[31]   A microbial signature for Crohn's disease [J].
Pascal, Victoria ;
Pozuelo, Marta ;
Borruel, Natalia ;
Casellas, Francesc ;
Campos, David ;
Santiago, Alba ;
Martinez, Xavier ;
Varela, Encarna ;
Sarrabayrouse, Guillaume ;
Machiels, Kathleen ;
Vermeire, Severine ;
Sokol, Harry ;
Guarner, Francisco ;
Manichanh, Chaysavanh .
GUT, 2017, 66 (05) :813-822
[32]   Dynamics of metatranscription in the inflammatory bowel disease gut microbiome [J].
Schirmer, Melanie ;
Franzosa, Eric A. ;
Lloyd-Price, Jason ;
McIver, Lauren J. ;
Schwager, Randall ;
Poon, Tiffany W. ;
Ananthakrishnan, Ashwin N. ;
Andrews, Elizabeth ;
Barron, Gildardo ;
Lake, Kathleen ;
Prasad, Mahadev ;
Sauk, Jenny ;
Stevens, Betsy ;
Wilson, Robin G. ;
Braun, Jonathan ;
Denson, Lee A. ;
Kugathasan, Subra ;
McGovern, Dermot P. B. ;
Vlamakis, Hera ;
Xavier, Ramnik J. ;
Huttenhower, Curtis .
NATURE MICROBIOLOGY, 2018, 3 (03) :337-346
[33]   Dysbiosis, inflammation, and response to treatment: a longitudinal study of pediatric subjects with newly diagnosed inflammatory bowel disease [J].
Shaw, Kelly A. ;
Bertha, Madeline ;
Hofmekler, Tatyana ;
Chopra, Pankaj ;
Vatanen, Tommi ;
Srivatsa, Abhiram ;
Prince, Jarod ;
Kumar, Archana ;
Sauer, Cary ;
Zwick, Michael E. ;
Satten, Glen A. ;
Kostic, Aleksandar D. ;
Mulle, Jennifer G. ;
Xavier, Ramnik J. ;
Kugathasan, Subra .
GENOME MEDICINE, 2016, 8
[34]   Obesity in IBD: epidemiology, pathogenesis, disease course and treatment outcomes [J].
Singh, Siddharth ;
Dulai, Parambir S. ;
Zarrinpar, Amir ;
Ramamoorthy, Sonia ;
Sandborn, William J. .
NATURE REVIEWS GASTROENTEROLOGY & HEPATOLOGY, 2017, 14 (02) :110-121
[35]  
Sokol H, 2017, GUT, V66, P1039, DOI [10.1136/gutjnl-2015-310746, 10.1136/gutjnl-20]
[36]   Random forest: A classification and regression tool for compound classification and QSAR modeling [J].
Svetnik, V ;
Liaw, A ;
Tong, C ;
Culberson, JC ;
Sheridan, RP ;
Feuston, BP .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2003, 43 (06) :1947-1958
[37]   A core gut microbiome in obese and lean twins [J].
Turnbaugh, Peter J. ;
Hamady, Micah ;
Yatsunenko, Tanya ;
Cantarel, Brandi L. ;
Duncan, Alexis ;
Ley, Ruth E. ;
Sogin, Mitchell L. ;
Jones, William J. ;
Roe, Bruce A. ;
Affourtit, Jason P. ;
Egholm, Michael ;
Henrissat, Bernard ;
Heath, Andrew C. ;
Knight, Rob ;
Gordon, Jeffrey I. .
NATURE, 2009, 457 (7228) :480-U7
[38]   The Lewis score or the capsule endoscopy Crohn's disease activity index: which one is better for the assessment of small bowel inflammation in established Crohn's disease? [J].
Yablecovitch, Doron ;
Lahat, Adi ;
Neuman, Sandra ;
Levhar, Nina ;
Avidan, Benjamin ;
Ben-Horin, Shomron ;
Eliakim, Rami ;
Kopylov, Uri .
THERAPEUTIC ADVANCES IN GASTROENTEROLOGY, 2018, 11