Evidence map›Paper›PMID 32610522›Full record

ArticleJournal of clinical medicine2020

Multimodal Approach to Assessment of Fecal Microbiota Donors based on Three Complementary Methods.

Jaroslaw Bilinski, Mikolaj Dziurzynski, Pawel Grzesiowski, Edyta Podsiadly, Anna Stelmaszczyk-Emmel, Tomasz Dzieciatkowski, Lukasz Dziewit, Grzegorz W Basak

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 50% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Human microbiota-associated animal models: a review.Frontiers in cellular and infection microbiology · 2025
    Review
  3. Article
  4. Review
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Jaroslaw BilinskiDepartment of Hematology, Oncology and Internal Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland.ORCID 0000-0001-8286-4512
Mikolaj DziurzynskiDepartment of Environmental Microbiology and Biotechnology, Institute of Microbiology, Faculty of Biology, University of Warsaw, 02-096, Warsaw, Poland.ORCID 0000-0002-5593-9432
Pawel GrzesiowskiFoundation for the Infection Prevention Institute, 02-991 Warsaw, Poland.
Edyta PodsiadlyDepartment of Microbiology, Institute of Medical Sciences, University of Rzeszów, 35-310 Rzeszów, Poland.
Anna Stelmaszczyk-EmmelDepartment of Laboratory Diagnostics and Clinical Immunology of Developmental Age, Medical University of Warsaw, 02-091 Warsaw, Poland.
Tomasz DzieciatkowskiChair and Department of Medical Microbiology, Medical University of Warsaw, 02-091 Warsaw, Poland.
Lukasz DziewitDepartment of Environmental Microbiology and Biotechnology, Institute of Microbiology, Faculty of Biology, University of Warsaw, 02-096, Warsaw, Poland.ORCID 0000-0002-5057-2811
Grzegorz W BasakDepartment of Hematology, Oncology and Internal Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland.
Medical University of Warsaw · PLUniversity of Warsaw · PLUniversity of Rzeszów · PL

Funding

Ministerstwo Nauki i Szkolnictwa Wyższego 1WP/FS200/ZW2/17
6 · The paper itself

Abstract

Methods of stool assessment are mostly focused on next-generation sequencing (NGS) or classical culturing, but only rarely both. We conducted a series of experiments using a multi-method approach to trace the stability of gut microbiota in various donors over time, to find the best method for the proper selection of fecal donors and to find "super-donor" indicators. Ten consecutive stools donated by each of three donors were used for the experiments (30 stools in total). The experiments assessed bacterial viability measured by flow cytometry, stool culturing on different media and in various conditions, and NGS (90 samples in total). There were no statistically significant differences between live and dead cell numbers; however, we found a group of cells classified as not-dead-not-alive, which may be possibly important in selection of "good" donors. Donor C, being a regular stool donor, was characterized by the largest number of cultivable species (64). Cultivable core microbiota (shared by all donors) was composed of only 16 species. ANCOM analysis of NGS data highlighted particular genera to be more abundant in one donor vs. the others. There was a correlation between the not-dead-not-alive group found in flow cytometry and

Indexed as

culturing of fecal microbiotafecal microbiotafecal microbiota transplantationfeces donorflow cytometrynext-generation sequencingviability of bacteria

Identifiers

PMID32610522
PMCPMC7409046
OpenAlexW3037912161

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.