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Article

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

by
Jaroslaw Bilinski
1,*,
Mikolaj Dziurzynski
2,*,
Pawel Grzesiowski
3,
Edyta Podsiadly
4,
Anna Stelmaszczyk-Emmel
5,
Tomasz Dzieciatkowski
6,
Lukasz Dziewit
2,* and
Grzegorz W. Basak
1
1
Department of Hematology, Oncology and Internal Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland
2
Department of Environmental Microbiology and Biotechnology, Institute of Microbiology, Faculty of Biology, University of Warsaw, 02-096 Warsaw, Poland
3
Foundation for the Infection Prevention Institute, 02-991 Warsaw, Poland
4
Department of Microbiology, Institute of Medical Sciences, University of Rzeszów, 35-310 Rzeszów, Poland
5
Department of Laboratory Diagnostics and Clinical Immunology of Developmental Age, Medical University of Warsaw, 02-091 Warsaw, Poland
6
Department of Medical Microbiology, Medical University of Warsaw, 02-091 Warsaw, Poland
*
Authors to whom correspondence should be addressed.
J. Clin. Med. 2020, 9(7), 2036; https://doi.org/10.3390/jcm9072036
Received: 4 June 2020 / Revised: 25 June 2020 / Accepted: 26 June 2020 / Published: 29 June 2020
(This article belongs to the Special Issue 3Ts in Gastrointestinal Microbiome Era: Technology, Translational Research and Transplant)
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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 Anaeroplasma found by NGS, and we could distinguish a regular stool donor from the others. In this work, we showed that combining various methods of microbiota assessment gives more information than each method separately. View Full-Text
Keywords: fecal microbiota transplantation; feces donor; fecal microbiota; flow cytometry; viability of bacteria; next-generation sequencing; culturing of fecal microbiota fecal microbiota transplantation; feces donor; fecal microbiota; flow cytometry; viability of bacteria; next-generation sequencing; culturing of fecal microbiota
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MDPI and ACS Style

Bilinski, J.; Dziurzynski, M.; Grzesiowski, P.; Podsiadly, E.; Stelmaszczyk-Emmel, A.; Dzieciatkowski, T.; Dziewit, L.; Basak, G.W. Multimodal Approach to Assessment of Fecal Microbiota Donors based on Three Complementary Methods. J. Clin. Med. 2020, 9, 2036. https://doi.org/10.3390/jcm9072036

AMA Style

Bilinski J, Dziurzynski M, Grzesiowski P, Podsiadly E, Stelmaszczyk-Emmel A, Dzieciatkowski T, Dziewit L, Basak GW. Multimodal Approach to Assessment of Fecal Microbiota Donors based on Three Complementary Methods. Journal of Clinical Medicine. 2020; 9(7):2036. https://doi.org/10.3390/jcm9072036

Chicago/Turabian Style

Bilinski, Jaroslaw; Dziurzynski, Mikolaj; Grzesiowski, Pawel; Podsiadly, Edyta; Stelmaszczyk-Emmel, Anna; Dzieciatkowski, Tomasz; Dziewit, Lukasz; Basak, Grzegorz W. 2020. "Multimodal Approach to Assessment of Fecal Microbiota Donors based on Three Complementary Methods" J. Clin. Med. 9, no. 7: 2036. https://doi.org/10.3390/jcm9072036

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