| Title |
Reconstitution of the gut microbiota of antibiotic-treated patients by autologous fecal microbiota transplant
|
|---|---|
| Published in |
Science Translational Medicine, September 2018
|
| DOI | 10.1126/scitranslmed.aap9489 |
| Pubmed ID | |
| Authors |
Ying Taur, Katharine Coyte, Jonas Schluter, Elizabeth Robilotti, Cesar Figueroa, Mergim Gjonbalaj, Eric R Littmann, Lilan Ling, Liza Miller, Yangtsho Gyaltshen, Emily Fontana, Sejal Morjaria, Boglarka Gyurkocza, Miguel-Angel Perales, Hugo Castro-Malaspina, Roni Tamari, Doris Ponce, Guenther Koehne, Juliet Barker, Ann Jakubowski, Esperanza Papadopoulos, Parastoo Dahi, Craig Sauter, Brian Shaffer, James W Young, Jonathan Peled, Richard C Meagher, Robert R Jenq, Marcel R M van den Brink, Sergio A Giralt, Eric G Pamer, Joao B Xavier |
| Abstract |
Antibiotic treatment can deplete the commensal bacteria of a patient's gut microbiota and, paradoxically, increase their risk of subsequent infections. In allogeneic hematopoietic stem cell transplantation (allo-HSCT), antibiotic administration is essential for optimal clinical outcomes but significantly disrupts intestinal microbiota diversity, leading to loss of many beneficial microbes. Although gut microbiota diversity loss during allo-HSCT is associated with increased mortality, approaches to reestablish depleted commensal bacteria have yet to be developed. We have initiated a randomized, controlled clinical trial of autologous fecal microbiota transplantation (auto-FMT) versus no intervention and have analyzed the intestinal microbiota profiles of 25 allo-HSCT patients (14 who received auto-FMT treatment and 11 control patients who did not). Changes in gut microbiota diversity and composition revealed that the auto-FMT intervention boosted microbial diversity and reestablished the intestinal microbiota composition that the patient had before antibiotic treatment and allo-HSCT. These results demonstrate the potential for fecal sample banking and posttreatment remediation of a patient's gut microbiota after microbiota-depleting antibiotic treatment during allo-HSCT. |
X Demographics
The data shown below were collected from the profiles of 141 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 31 | 22% |
| United Kingdom | 13 | 9% |
| Spain | 6 | 4% |
| Japan | 5 | 4% |
| Australia | 5 | 4% |
| Switzerland | 4 | 3% |
| Mexico | 3 | 2% |
| France | 3 | 2% |
| Singapore | 3 | 2% |
| Other | 17 | 12% |
| Unknown | 51 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 71 | 50% |
| Scientists | 61 | 43% |
| Practitioners (doctors, other healthcare professionals) | 9 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 358 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 358 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 65 | 18% |
| Student > Ph. D. Student | 52 | 15% |
| Student > Master | 32 | 9% |
| Student > Bachelor | 32 | 9% |
| Student > Postgraduate | 21 | 6% |
| Other | 59 | 16% |
| Unknown | 97 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 75 | 21% |
| Biochemistry, Genetics and Molecular Biology | 51 | 14% |
| Immunology and Microbiology | 41 | 11% |
| Agricultural and Biological Sciences | 33 | 9% |
| Engineering | 10 | 3% |
| Other | 43 | 12% |
| Unknown | 105 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 274. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 November 2023.
All research outputs
#133,461
of 25,748,735 outputs
Outputs from Science Translational Medicine
#421
of 5,476 outputs
Outputs of similar age
#2,564
of 352,467 outputs
Outputs of similar age from Science Translational Medicine
#9
of 110 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,476 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.5. This one has done particularly well, scoring higher than 92% of its peers.
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We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.