Article Synopsis

  • Fecal microbiota transplantation (FMT) is effective for treating recurrent Clostridium difficile infection (CDI), but it poses risks, especially for immunocompromised patients; this study explores if sterile fecal filtrates (FFT) can be a safer alternative.
  • A clinical case series involving 5 patients treated with FFT showed that the treatment improved symptoms of CDI, maintaining normal stool habits for at least 6 months.
  • Analysis revealed diverse bacterial DNA and viral particles in the FFT, suggesting complex changes in the microbiome and virome post-treatment, although no specific proteins linked to efficacy were identified.

Video Abstracts
Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background & Aims: Fecal microbiota transplantation (FMT) is a highly effective therapy for recurrent Clostridium difficile infection (CDI). However, transferring undefined living bacteria entails uncontrollable risks for infectious and metabolic or malignant diseases, particularly in immunocompromised patients. We investigated whether sterile fecal filtrates (containing bacterial debris, proteins, antimicrobial compounds, metabolic products, and oligonucleotides/DNA), rather than intact microorganisms, are effective in patients with CDI.

Methods: We performed a clinical case series to investigate the effects of fecal filtrate transfer (FFT) in 5 patients with symptomatic chronic-relapsing CDI at the Department of Internal Medicine I at the University Hospital Schleswig-Holstein (Kiel, Germany). Patients were followed up for at least 6 months and for up to 33 months. Stool was collected from 5 donors selected by the patients, and fully characterized according to FMT standards. Stool was sterile-filtered to remove small particles and bacteria; the filtrate was transferred to patients in a single administration via nasojejunal tube. Fecal samples were collected from patients before and at 1 week and 6 weeks after FFT. Microbiome, virome, and proteome profiles of donors and patients were compared.

Results: In all 5 patients, FFT restored normal stool habits and eliminated symptoms of CDI for a minimum period of 6 months. Proteome analyses of selected FFT filtrates showed no obvious protein candidates associated with therapeutic efficacy. 16S ribosomal RNA gene sequencing detected diverse bacterial DNA signatures in the filtrates. Analysis of virus-like particles from a filtrate found to reduce symptoms of CDI showed a complex signature of bacteriophages. Bacterial phylogeny and virome profile analyses of fecal samples from recipients indicated longitudinal changes in microbial and viral community structures after FFT.

Conclusions: A preliminary investigation of 5 patients with CDI shows that transfer of sterile filtrates from donor stool (FFT), rather than fecal microbiota, can be sufficient to restore normal stool habits and eliminate symptoms. This finding indicates that bacterial components, metabolites, or bacteriophages mediate many of the effects of FMT, and that FFT might be an alternative approach, particularly for immunocompromised patients.

Download full-text PDF

Source
http://dx.doi.org/10.1053/j.gastro.2016.11.010DOI Listing

Publication Analysis

Top Keywords

patients
12
sterile fecal
8
fecal filtrate
8
filtrate transfer
8
clostridium difficile
8
difficile infection
8
fecal microbiota
8
immunocompromised patients
8
fecal samples
8
normal stool
8

Similar Publications

Warfarin is a widely used vitamin K antagonist (VKA) with known pleiotropic effects beyond anticoagulation. Preclinical and case-control evidence suggests that warfarin may affect hematopoiesis, but longitudinal human evidence is lacking. To explore this potential effect, we conducted a post-hoc analysis of participants in the Hokusai-VTE and ENGAGE AF-TIMI 48 trials, which randomized patients to warfarin or the direct oral anticoagulant edoxaban with routine laboratory testing at predefined follow-up visits.

View Article and Find Full Text PDF

Background: Knee osteoarthritis (KOA) is a prevalent degenerative joint disorder that significantly impairs physical function and daily activities. While conventional treatments focus on symptom management, complementary therapies such as aromatherapy massage have gained attention for their potential benefits.

Objective: This study evaluates the effects of peppermint oil aromatherapy massage on functional impairments in KOA patients.

View Article and Find Full Text PDF

Wearable bioelectronics for skin cancer management.

Biomaterials

August 2025

Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA. Electronic address:

Wearable bioelectronics have transformed modern biomedical applications by enabling seamless integration with biological tissues, providing continuous, comprehensive, and personalized healthcare. Skin cancer, particularly melanoma, poses a significant clinical challenge due to its high metastatic potential and associated mortality. Traditional diagnostic approaches face limitations in accuracy, accessibility, and reproducibility, while existing treatments are often constrained by systemic toxicity and therapeutic resistance.

View Article and Find Full Text PDF

Background: There is conflicting literature regarding mortality outcomes associated with REBOA usage in patients with severe thoracic or abdominal trauma. Our study aims to assess the benefits and negative implications of REBOA use in adult trauma patients in hemorrhagic shock with severe thoracic or abdominal injuries.

Methods: This retrospective cohort analysis utilized the American College of Surgeons Trauma Quality Improvement Program Participant Use File (ACS-TQIP-PUF) database from 2017 to 2023 to evaluate adult patients with severe isolated thoracic or abdominal trauma undergoing REBOA placement.

View Article and Find Full Text PDF

Study Objective: Accurately predicting which Emergency Department (ED) patients are at high risk of leaving without being seen (LWBS) could enable targeted interventions aimed at reducing LWBS rates. Machine Learning (ML) models that dynamically update these risk predictions as patients experience more time waiting were developed and validated, in order to improve the prediction accuracy and correctly identify more patients who LWBS.

Methods: The study was deemed quality improvement by the institutional review board, and collected all patient visits to the ED of a large academic medical campus over 24 months.

View Article and Find Full Text PDF