Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Clinical Trial
. 2021 May 25;12(1):3084.
doi: 10.1038/s41467-021-23376-6.

Gut microbiota diversity after autologous fecal microbiota transfer in acute myeloid leukemia patients

Affiliations
Clinical Trial

Gut microbiota diversity after autologous fecal microbiota transfer in acute myeloid leukemia patients

Florent Malard et al. Nat Commun. .

Abstract

Acute myeloid leukemia (AML) intensive chemotherapy combined with broad-spectrum antibiotics, leads to gut microbiota dysbiosis promoting pathological conditions and an increased incidence of complications. Here we report findings from a phase II single-arm, multicenter study evaluating autologous fecal microbiota transfer (AFMT) in 25 AML patients treated with intensive chemotherapy and antibiotics (ClinicalTrials.gov number: NCT02928523). The co-primary outcomes of the study are to evaluate the efficacy of AFMT in dysbiosis correction and multidrug-resistant bacteria eradication. The main secondary outcomes are to define a dysbiosis biosignature, to evaluate the effect of dysbiosis correction on patient clinical status, to assess the short and mid-term safety of AFMT in this immunocompromised population, and to evaluate the feasibility of the AFMT procedure and acceptability by the patient. Intensive induction chemotherapy induces a dramatic decrease of α-diversity indices, and a microbial dysbiosis with a significant shift of the microbial communities and domination of pro-inflammatory families. After AFMT treatment, α-diversity indices return to their initial mean levels and the similarity index shows the restoration of microbial communities. The trial meets pre-specified endpoints. AFMT appears to be safe and may be effective for gut microbiota restoration in AML patients receiving intensive chemotherapy and antibiotics, with an excellent gut microbiota reconstruction based on both richness and diversity indices at the species level.

PubMed Disclaimer

Conflict of interest statement

F.M. reports lecture honoraria from Therakos/Mallinckrodt, Biocodex, Janssen, Keocyt, Sanofi, JAZZ pharmaceuticals and Astellas, all outside the submitted work. J.D. received consultancy honoraria from MaaT Pharma and reports grants and/or lecture honoraria from Janssen, Sanofi, MaaT Pharma, BMS, Nestle, Bridor and Danone. C.R.: Research grants (my institution: CHU de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole): Abbvie, Amgen, Novartis, Celgene, JAZZ pharmaceuticals Agios, Daiichi-Sankyo, Astellas, Sunesis, Roche, MaaT Pharma. Advisory boards: Abbvie, Janssen, Jazz Pharma, Daiichi-Sankyo, Astellas, Novartis, Celgene, Otsuka, Sunesis, Roche, Otsuka, Macrogenics, Pfizer. S.B.: advisory board: Daiichi-Sankyo, Astellas, Jazz Pharma, Sanofi. Emilie Plantamura, Lilia Boucinha and Cyrielle Gasc are MaaT Pharma employees. Mohamad Mohty reports grants and/or lecture honoraria from Janssen, Sanofi, MaaT Pharma, JAZZ pharmaceuticals, Celgene, Amgen, BMS, Takeda, Pfizer, and Roche. The other authors did not disclose any relevant conflict of interest in relation to this work.

Figures

Fig. 1
Fig. 1. Study flow chart.
AML is for acute myeloid leukemia. AFMT, autologuous fecal microbiota transfer; D, day.
Fig. 2
Fig. 2. Characterization of the fecal microbiota from visit 1 (V1) to visit 4 (V4) in per-protocol patients (n= 20).
a Alpha-diversity measured at species level with, from left to right: Shannon and Inverse Simpson indexes (P-value were determined by two-sided signed-rank Wilcoxon paired test, no adjustments were made for multiple comparisons, error bars indicate median and interquartile range). b Beta-diversity measured at species level with the Bray–Curtis index comparison between visits and Principal Coordinates Analysis based on Bray–Curtis similarity at each visit (P-value were determined by two-sided signed-rank Wilcoxon paired test, no adjustments were made for multiple comparisons, error bars indicate median and interquartile range). Source data are provided as a Source Data file.
Fig. 3
Fig. 3. Family profile heatmap.
The relative abundances of the families found in the different samples are represented in shades of blue. Each column corresponds to a patient and the order of the columns is respected between the different panels. Only patients for which a complete kinetics from visit 1 (V1) to visit 4 (V4) is available are shown (n = 12). For each sample, the associated values of the Shannon index at the species level and the Bray-Curtis similarity with respect to V1 at the species level are represented. For Shannon index, ranges were based on the Shannon value of the study population: low < first quartile, medium ≥ first quartile and < third quartile, high ≥ third quartile. For Bray–Curtis similarity index: low < 0.4, medium ≥ 0.4 and < 0.6 and high ≥ 0.6. The choice of this mathematically determination was made before the analysis of the results.
Fig. 4
Fig. 4. Number of reads mapped against antibiotic resistance genes identified through metagenomic sequencing from V1 to V4 for the per-protocol population (n= 20).
P-values were determined by two-sided signed-rank Wilcoxon paired test, no adjustments were made for multiple comparisons, error bars indicate median and interquartile range. ABR is for antibiotic resistance genes. Source data are provided as a Source Data file.
Fig. 5
Fig. 5. Evolution of biochemical and immunological parameters in per-protocol patients (n= 20).
a Systemic level in blood, from left to right: neopterin, C-Reactive Protein (P-value were determined by two-sided signed-rank Wilcoxon paired test, no adjustments were made for multiple comparisons, error bars indicate median and interquartile range, for neopterin n = 10). b Local levels in feces: neopterin, secretory immunoglobulin A (IgA, P-value were determined by two-sided signed-rank Wilcoxon paired test, no adjustments were made for multiple comparisons, error bars indicate median and interquartile range). Source data are provided as a Source Data file.
Fig. 6
Fig. 6. Correlation between host and microbiota parameters (n= 20).
Spearman pairwise correlation. Only significant correlations are depicted. Blue = positive correlation; Red = negative correlation. Correlations are calculated from the values measured in all patients at all visits (except for TGFβ2 for which only the values measured at visit V3 are considered). CRP is for C-Reactive Protein; IgA, immunoglobulin A; TGFβ2_V3, Transforming growth factor-beta 2 at visit 3; CD14_pos, cluster of differentiation 14 positive. Source data are provided as a Source Data file.
Fig. 7
Fig. 7. CONSORT diagram.
AFMT is for autologous fecal microbiota transfer; D, day; N, number of patients, V1 to V6, visit 1 to visit 6.

References

    1. Dohner H, Weisdorf DJ, Bloomfield CD. Acute myeloid leukemia. N. Engl. J. Med. 2015;373:1136–1152. - PubMed
    1. Mayer K, et al. Comparison of antibiotic prophylaxis with cotrimoxazole/colistin (COT/COL) versus ciprofloxacin (CIP) in patients with acute myeloid leukemia. Support Care Cancer. 2015;23:1321–1329. doi: 10.1007/s00520-015-2621-0. - DOI - PubMed
    1. Owattanapanich W, Owattanapanich N, Kungwankiattichai S, Ungprasert P, Ruchutrakool T. Efficacy and toxicity of idarubicin versus high-dose daunorubicin for induction chemotherapy in adult acute myeloid leukemia: a systematic review and meta-analysis. Clin. Lymphoma Myeloma Leuk. 2018;18:814–821. doi: 10.1016/j.clml.2018.08.008. - DOI - PubMed
    1. Galloway-Pena JR, et al. The role of the gastrointestinal microbiome in infectious complications during induction chemotherapy for acute myeloid leukemia. Cancer. 2016;122:2186–2196. doi: 10.1002/cncr.30039. - DOI - PMC - PubMed
    1. Galloway-Peña JR, et al. Characterization of oral and gut microbiome temporal variability in hospitalized cancer patients. Genome Med. 2017;9:21–21. doi: 10.1186/s13073-017-0409-1. - DOI - PMC - PubMed

Publication types

MeSH terms

Substances

Associated data