Methods and materials for using biomarkers which predict susceptibility to clostridium difficile infection

a biomarker and susceptibility technology, applied in the field of biomarkers of gut microbiota dysbiosis, can solve the problems of morbidity and mortality, antibiotics reducing the diversity of gut microbiome, and altering the metabolic landscape, so as to achieve the effect of remodeling the gut microenvironmen

Inactive Publication Date: 2019-07-18
MAYO FOUND FOR MEDICAL EDUCATION & RES
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  • Abstract
  • Description
  • Claims
  • Application Information

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Benefits of technology

[0004]This document relates to biomarkers of gut microbiota dysbiosis. For example, this document provides biomarkers which predict susceptibility to CDI and targeted therapeutics to prevent CDI. Enteric pathogens can induce diarrhea (one of the most common symptoms of gastrointestinal disorders such as CDI), and can significantly remodel the gut microenvironment.

Problems solved by technology

Hospital-acquired infections are a major cause of morbidity and mortality.
However, antibiotics reduce gut microbiome diversity, alter the metabolic landscape (Theriot et al.

Method used

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  • Methods and materials for using biomarkers which predict susceptibility to clostridium difficile infection
  • Methods and materials for using biomarkers which predict susceptibility to clostridium difficile infection
  • Methods and materials for using biomarkers which predict susceptibility to clostridium difficile infection

Examples

Experimental program
Comparison scheme
Effect test

example 2

Individuals with Diarrhea

[0099]Using the 5 clinical risk factors identified in Example 1, the records of 20,687 patients (Table 4) who presented with diarrhea and were tested for Clostridium difficile at Mayo Clinic, Rochester, Minn. between 2011-2016 were examined. All patients were over 18 years of age (IRB 16-003622). Patients who tested negative and then subsequently tested positive were marked as “converters.” Patients who tested negative but never tested positive were marked as “non-converters.” A single “test negative” date was preserved for each patient and no patients were duplicated in this analysis. Based on the “test negative” date, all 5 risk factors were evaluated for each patient including: prior C. difficile infection, recent hospitalization (within the previous 4 weeks), current hospitalization, antibiotic use (within the previous 3 weeks), and immunosuppression.

TABLE 4Demographic information on converters and non-convertersConverter (n = 662)Non-Converter (n = 22,1...

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Abstract

This document relates to biomarkers of gut microbiota dysbiosis. Bacteria that are increased or decreased in gut microbiota dysbiosis can be used as biomarkers to predict dysbiosis in patients with diarrhea and / or to predict susceptibility to Clostridium difficile infection (CDI). In addition, provided herein are compositions including at least three bacteria that are de creased in gut microbiota dysbiosis which can be used, for example, to restore heathy gut microbiota (e.g., by probiotic or by fecal microbiota transplant) to treat CDI.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority to U.S. Application Ser. No. 62 / 222,034, filed on Sep. 22, 2015. The disclosure of the prior application is considered part of the disclosure of this application, and is incorporated in its entirety into this application.BACKGROUND1. Technical Field[0002]This document relates to biomarkers of gut microbiota dysbiosis which can predict dysbiosis and / or predict susceptibility to Clostridium difficile infection, as well as compositions and methods for treating and / or preventing C. difficile infection.2. Background Information[0003]Hospital-acquired infections are a major cause of morbidity and mortality. C. difficile infections cause nearly half a million illnesses each year, and 1 in 11 people 65 and older died within a month of C. difficile infection diagnoses (Lessa et al. 2015 N Engl J Med 372:825-834). However, antibiotics reduce gut microbiome diversity, alter the metabolic landscape (Theriot et al. 201...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): A61K35/741G01N33/68A61P31/04
CPCA61K35/741G01N33/68A61P31/04A61K2035/115G01N2800/06G01N2800/26A61K35/742A61K35/744A61K35/745C12Q1/04G01N33/56911Y02A50/30
Inventor KASHYAP, PURNA C.BATTAGLIOLI, ERIC J.HALE, VANESSA L.
Owner MAYO FOUND FOR MEDICAL EDUCATION & RES
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