Evidence map›Paper›PMID 34702350›Full record

ArticleMicrobiome2021

Gut microbiota response to antibiotics is personalized and depends on baseline microbiota.

Armin Rashidi, Maryam Ebadi, Tauseef Ur Rehman, Heba Elhusseini, Harika Nalluri, Thomas Kaiser, Shernan G Holtan, Alexander Khoruts, Daniel J Weisdorf, Christopher Staley

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 6% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

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  19. Antibiotic-perturbed microbiota and the role of probiotics.Nature reviews. Gastroenterology & hepatology · 2025
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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

10 authors at 1 institution in 1 country.

Armin RashidiDivision of Hematology, Oncology, and Transplantation, Department of Medicine, University of Minnesota, 14-100 PWB, MMC 480, 420 Delaware St. SE, Minneapolis, MN, 55455, USA. arashidi@umn.edu.ORCID 0000-0002-9384-272X
Maryam EbadiDivision of Hematology, Oncology, and Transplantation, Department of Medicine, University of Minnesota, 14-100 PWB, MMC 480, 420 Delaware St. SE, Minneapolis, MN, 55455, USA.
Tauseef Ur RehmanDivision of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
Heba ElhusseiniDivision of Hematology, Oncology, and Transplantation, Department of Medicine, University of Minnesota, 14-100 PWB, MMC 480, 420 Delaware St. SE, Minneapolis, MN, 55455, USA.
Harika NalluriDepartment of Surgery, University of Minnesota, Minneapolis, MN, USA.
Thomas KaiserDepartment of Surgery, University of Minnesota, Minneapolis, MN, USA.
Shernan G HoltanDivision of Hematology, Oncology, and Transplantation, Department of Medicine, University of Minnesota, 14-100 PWB, MMC 480, 420 Delaware St. SE, Minneapolis, MN, 55455, USA.
Alexander KhorutsDivision of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
Daniel J WeisdorfDivision of Hematology, Oncology, and Transplantation, Department of Medicine, University of Minnesota, 14-100 PWB, MMC 480, 420 Delaware St. SE, Minneapolis, MN, 55455, USA.
Christopher StaleyDepartment of Surgery, University of Minnesota, Minneapolis, MN, USA.
University of Minnesota · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Institutional Career Development CoreKL2TR002492 · NCATS · UNIVERSITY OF MINNESOTA · PI INGBAR, DAVID H · 2018 to 2022
$6.3M
Foundation for the National Institutes of Health KL2TR002492Foundation for the National Institutes of Health UL1TR002494NCATS NIH HHS KL2 TR002492NCATS NIH HHS UL1 TR002494
6 · The paper itself

Abstract

backgroundThe magnitude of microbiota perturbations after exposure to antibiotics varies among individuals. It has been suggested that the composition of pre-treatment microbiota underpins personalized responses to antibiotics. However, this hypothesis has not been directly tested in humans. In this high-throughput amplicon study, we analyzed 16S ribosomal RNA gene sequences of 260 stool samples collected twice weekly from 39 patients with acute leukemia during their ~ 4 weeks of hospitalization for chemotherapy while they received multiple antibiotics.

resultsDespite heavy and sustained antibiotic pressure, microbial communities in samples from the same patient remained more similar to one another than to those from other patients. Principal component mixed effect regression using microbiota and granular antibiotic exposure data showed that microbiota departures from baseline depend on the composition of the pre-treatment microbiota. Penalized generalized estimating equations identified 6 taxa within pre-treatment microbiota that predicted the extent of antibiotic-induced perturbations.

conclusionsOur results indicate that specific species in pre-treatment microbiota determine personalized microbiota responses to antibiotics in humans. Thus, precision interventions targeting pre-treatment microbiota may prevent antibiotic-induced dysbiosis and its adverse clinical consequences. Video abstract.

Indexed as

Anti-Bacterial AgentsGastrointestinal MicrobiomeDysbiosisFecesHumansLeukemiaRNA, Ribosomal, 16SAnti-Bacterial AgentsRNA, Ribosomal, 16SAntibioticsLeukemiaMicrobiota

Identifiers

PMID34702350
PMCPMC8549152
OpenAlexW3210972826

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.