Gut Microbiota Offers Universal Biomarkers across Ethnicity in Inflammatory Bowel Disease Diagnosis and Infliximab Response Prediction

Autor: Mingsong Li, Le Liu, Hongwei Zhou, Ye Chen, Gary D. Wu, Yunsheng Yang, Yuqiang Nie, Anupriya Tripathi, Qian-Yun Lin, Amnon Amir, Minhu Chen, Zhenjiang Zech Xu, Side Liu, Youlian Zhou, Yan He, Rob Knight, Antonio Gonzalez, Fachao Zhi
Přispěvatelé: Ercolini, Danilo
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0301 basic medicine
medicine.medical_specialty
Physiology
lcsh:QR1-502
Crohn's Disease
Disease
Gut flora
Autoimmune Disease
Biochemistry
Gastroenterology
Inflammatory bowel disease
digestive system
Microbiology
Oral and gastrointestinal
lcsh:Microbiology
Host-Microbe Biology
03 medical and health sciences
fluids and secretions
0302 clinical medicine
inflammatory bowel disease
Internal medicine
Genetics
medicine
Molecular Biology
Ecology
Evolution
Behavior and Systematics

biology
gut microbiota
Clostridiales
biology.organism_classification
medicine.disease
Ulcerative colitis
Infliximab
digestive system diseases
QR1-502
Computer Science Applications
infliximab treatment
030104 developmental biology
Modeling and Simulation
030211 gastroenterology & hepatology
Calprotectin
Digestive Diseases
Dysbiosis
disease activity
Research Article
medicine.drug
Zdroj: mSystems, Vol 3, Iss 1 (2018)
mSystems, vol 3, iss 1
Zhou, Y; Xu, ZZ; He, Y; Yang, Y; Liu, L; Lin, Q; et al.(2018). Gut microbiota offers universal biomarkers across ethnicity in inflammatory bowel disease diagnosis and infliximab response prediction. mSystems, 3(1). doi: 10.1128/mSystems.00188-17. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/0ht2v5sc
mSystems, Vol 3, Iss 1, p e00188-17 (2018)
mSystems
ISSN: 2379-5077
DOI: 10.1128/mSystems.00188-17
Popis: In the present report, we show that the human fecal microbiota contains promising and universal biomarkers for the noninvasive evaluation of inflammatory bowel disease severity and IFX treatment efficacy, emphasizing the potential ability to mine the gut microbiota as a modality to stratify IBD patients and apply personalized therapy for optimal outcomes.
Gut microbiota dysbiosis contributes to the onset and perpetuation of inflammatory bowel disease (IBD). Given that gut microbiotas vary across geography and ethnicity, it remains obscure whether any universal microbial signatures for IBD diagnosis and prognosis evaluation exist irrespective of populations. Here we profiled the fecal microbiota of a series of Chinese IBD patients and combined them with two Western IBD cohorts, PRISM and RISK, for meta-analyses. We found that the gut microbial alteration patterns in IBD are similar among Chinese and Westerners. Our prediction model based on gut microbiome for IBD diagnosis is robust across the cohorts, which showed 87.5% and 79.1% prediction accuracy in Crohn’s disease (CD) and ulcerative colitis (UC) patients, respectively. A relative increase in the levels of Actinobacteria and Proteobacteria (Enterobacteriaceae) and a relative decrease in the levels of Firmicutes (Clostridiales) were strongly correlated with IBD severity (P < 0.05). Additionally, restoration of gut microbiota diversity and a significant increase in Clostridiales relative abundance were found in patients responding to infliximab (IFX [Remicade]) treatment compared to those in relapse. Moreover, certain microbes, mainly Clostridiales, predicted the treatment effectiveness with 86.5% accuracy alone and 93.8% accuracy in combination with calprotectin levels and Crohn’s disease activity index (CDAI). Taking the results together, we conclude that gut microbiota can offer a set of universal biomarkers for diagnosis, disease activity evaluation, and infliximab treatment response prediction in IBD. IMPORTANCE In the present report, we show that the human fecal microbiota contains promising and universal biomarkers for the noninvasive evaluation of inflammatory bowel disease severity and IFX treatment efficacy, emphasizing the potential ability to mine the gut microbiota as a modality to stratify IBD patients and apply personalized therapy for optimal outcomes.
Databáze: OpenAIRE