Evidence map›Paper›PMID 38454103›Full record

ArticleScientific reports2024

Study of the intestinal microbiota composition and the effect of treatment with intensive chemotherapy in patients recovered from acute leukemia.

Xenia Vázquez, Pilar Lumbreras-Iglesias, M Rosario Rodicio, Javier Fernández, Teresa Bernal, Ainhoa Fernández Moreno, Paula López de Ugarriza, Ana Fernández-Verdugo, Abelardo Margolles, Carlos Sabater

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 5 citations in OpenAlex.

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  6. ISME communications · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Xenia VázquezDairy Research Institute of Asturias (IPLA), Spanish National Research Council, (CSIC), Villaviciosa, Asturias, Spain.
Pilar Lumbreras-IglesiasTraslational Microbiology Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.
M Rosario RodicioTraslational Microbiology Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.
Javier FernándezTraslational Microbiology Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.
Teresa BernalDepartment of Hematology Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto de Oncología del Principado de Asturias (IUOPA), Hospital Universitario Central de Asturias (HUCA), 33011, Oviedo, Spain.
Ainhoa Fernández MorenoDepartment of Hematology Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto de Oncología del Principado de Asturias (IUOPA), Hospital Universitario Central de Asturias (HUCA), 33011, Oviedo, Spain.
Paula López de UgarrizaDepartment of Hematology Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto de Oncología del Principado de Asturias (IUOPA), Hospital Universitario Central de Asturias (HUCA), 33011, Oviedo, Spain.
Ana Fernández-VerdugoTraslational Microbiology Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.
Abelardo MargollesDairy Research Institute of Asturias (IPLA), Spanish National Research Council, (CSIC), Villaviciosa, Asturias, Spain.
Carlos SabaterDairy Research Institute of Asturias (IPLA), Spanish National Research Council, (CSIC), Villaviciosa, Asturias, Spain. carlos.sabater@ipla.csic.es.
Instituto de Investigación Sanitaria del Principado de Asturias · ESInstituto de Productos Lácteos de Asturias · ESCentro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESHospital Universitario Central de Asturias · ESUniversidad de Oviedo · ES

Funding

Fondo de Investigación Sanitaria, Instituto de Salud Carlos III, Ministerio de Economía y Competitividad, Spain FIS PI21/01590Regional Ministry of Science of Asturias GRUPIN IDI/2022/000033
6 · The paper itself

Abstract

A dataset comprising metagenomes of outpatients (n = 28) with acute leukemia (AL) and healthy controls (n = 14) was analysed to investigate the associations between gut microbiota composition and metabolic activity and AL. According to the results obtained, no significant differences in the microbial diversity between AL outpatients and healthy controls were found. However, significant differences in the abundance of specific microbial clades of healthy controls and AL outpatients were found. We found some differences at taxa level. The relative abundance of Enterobacteriaceae, Prevotellaceae and Rikenellaceae was increased in AL outpatients, while Bacteirodaceae, Bifidobacteriaceae and Lachnospiraceae was decreased. Interestingly, the abundances of several taxa including Bacteroides and Faecalibacterium species showed variations based on recovery time from the last cycle of chemotherapy. Functional annotation of metagenome-assembled genomes (MAGs) revealed the presence of functional domains corresponding to therapeutic enzymes including L-asparaginase in a wide range of genera including Prevotella, Ruminococcus, Faecalibacterium, Alistipes, Akkermansia. Metabolic network modelling revealed potential symbiotic relationships between Veillonella parvula and Levyella massiliensis and several species found in the microbiota of AL outpatients. These results may contribute to develop strategies for the recovery of microbiota composition profiles in the treatment of patients with AL.

Indexed as

Gastrointestinal MicrobiomeLeukemia, Myeloid, AcuteMicrobiotaBacteriaBacteroidetesFecesHumansAcute leukemiaChemotherapyCross-feedingl-asparaginaseMetagenomicsMicrobial metabolism

Identifiers

PMID38454103
PMCPMC10920697
OpenAlexW4392559426

What OpenQuestion holds

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Registered trials

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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.