In Infants with Neuroblastoma Standard Therapy Only Partially Reverts the Fecal Microbiome Dysbiosis Present at Diagnosis

The fecal microbiomes of 15 infants with neuroblastoma (NB) at the onset of the disease and after standard-of-care therapy have been prospectively analyzed compared to those of age-matched healthy infants. By applying several algorithms to 16S sequencing, we found that the fecal microbiomes of infants with NB at onset were abundant in <i>Pseudomonadota</i>, including different descendants of <i>Gammaproteobacteria.</i> After completing therapy, their abundance decreased to a level like that observed in healthy infants. In contrast, the <i>Bacillota</i> that showed at the onset an abundance like that of healthy infants doubled their amount after treatment. In infants with NB, the beta diversity of the fecal microbiomes was significantly reduced compared to healthy infants and patients at the end of treatment. The Random Forest algorithm and the Reingold-Tilford heat tree showed that <i>Enterobacteriaceae</i> had a higher abundance at the onset, which declined after therapy. Picrust2 inferred pathway analysis indicated that the drug treatment was associated with a reduction in the polyamine pathway, highly represented in samples of NB at the onset. In conclusion, the dysbiosis observed in infants with NB at onset changed following standard-of-care treatment. Still, the composition at the end of treatment did not completely resemble that of healthy infants.

Authors

Institutions

Publication Details

Journal
Microorganisms
Published
2025-03-19
DOI
https://doi.org/10.3390/microorganisms13030691
Citations
1
Primary Topic
Neuroblastoma Research and Treatments
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In Infants with Neuroblastoma Standard Therapy Only Partially Reverts the Fecal Microbiome Dysbiosis Present at Diagnosis

Roberto Biassoni, Margherita Squillario, Mirco Ponzoni, Maria Valeria Corrias et al.
1 citations
Microorganisms
Neuroblastoma Research and Treatments
1.39
article

In Infants with Neuroblastoma Standard Therapy Only Partially Reverts the Fecal Microbiome Dysbiosis Present at Diagnosis

Roberto Biassoni, Margherita Squillario, Mirco Ponzoni, Maria Valeria Corrias, Loredana Amoroso, Carola Bonaretti, Massimo Conte, Eddi Di Marco
article en
1 citations

Abstract

The fecal microbiomes of 15 infants with neuroblastoma (NB) at the onset of the disease and after standard-of-care therapy have been prospectively analyzed compared to those of age-matched healthy infants. By applying several algorithms to 16S sequencing, we found that the fecal microbiomes of infants with NB at onset were abundant in <i>Pseudomonadota</i>, including different descendants of <i>Gammaproteobacteria.</i> After completing therapy, their abundance decreased to a level like that observed in healthy infants. In contrast, the <i>Bacillota</i> that showed at the onset an abundance like that of healthy infants doubled their amount after treatment. In infants with NB, the beta diversity of the fecal microbiomes was significantly reduced compared to healthy infants and patients at the end of treatment. The Random Forest algorithm and the Reingold-Tilford heat tree showed that <i>Enterobacteriaceae</i> had a higher abundance at the onset, which declined after therapy. Picrust2 inferred pathway analysis indicated that the drug treatment was associated with a reduction in the polyamine pathway, highly represented in samples of NB at the onset. In conclusion, the dysbiosis observed in infants with NB at onset changed following standard-of-care treatment. Still, the composition at the end of treatment did not completely resemble that of healthy infants.

MicroorganismsVol. 13(3)
Istituto Giannina Gaslini (IT), Ospedale Policlinico San Martino (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Good health and well-being
Openalex Percentile: Top 22%
Neuroblastoma Research and Treatments
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.