| Title |
Intestinal microbiota composition after antibiotic treatment in early life: the INCA study
|
|---|---|
| Published in |
BMC Pediatrics, December 2015
|
| DOI | 10.1186/s12887-015-0519-0 |
| Pubmed ID | |
| Authors |
N. B. M. M. Rutten, G. T. Rijkers, C. B. Meijssen, C. E. Crijns, J. H. Oudshoorn, C. K. van der Ent, A. M. Vlieger |
| Abstract |
The acquisition and development of infant gut microbiota can be influenced by numerous factors, of which early antibiotic treatment is an important one. However, studies on the effects of antibiotic treatment in early life on clinical outcomes and establishment and development of the gut microbiota of term infants are limited. Disturbed microbiota composition is hypothesized to be an underlying mechanism of an aberrant development of the immune system. This study aims to investigate the potential clinical and microbial consequences of empiric antibiotic use in early life. 450 term born infants, of whom 150 are exposed to antibiotic treatment in early life and 300 are not (control group), are included in this observational cohort study with a one-year follow-up. Clinical outcomes, including coughing, wheezing, fever >38 °C, runny nose, glue ear, rash, diarrhea and >3 crying hours a day, are recorded daily by parents and examined by previously defined doctor's diagnosis. A blood sample is taken at closure to investigate the infant's vaccination response and sensitization for food and inhalant allergens. Fecal samples are obtained at eight time points during the first year of life. Potential differences in microbial profiles of infants treated with antibiotics versus healthy controls will be determined by use of 16S-23S rRNA gene analysis (IS-pro). Microbiota composition will be described by means of abundance, diversity and (dis)similarity. Diversity is calculated using the Shannon index. Dissimilarities between samples are calculated as the cosine distance between each pair of samples and analyzed with principal coordinate analysis. Clinical variables and possible associations are assessed by appropriate statistics. Both clinical quantitative and qualitative microbial effects of antibiotic treatment in early life may be demonstrated. These findings can be important, since there is evidence that manipulation of the infant microbiota by using pre- or probiotics can restore the ecological balance of the microbiota and may mitigate potential negative effects on the developing immune system, when use of antibiotics cannot be avoided. ClinicalTrials.gov NCT02536560 . Registered 28 August 2015. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 21% |
| United States | 2 | 14% |
| United Kingdom | 1 | 7% |
| Unknown | 8 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 3 | 21% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Croatia | 1 | <1% |
| Colombia | 1 | <1% |
| Unknown | 173 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 15% |
| Student > Ph. D. Student | 21 | 12% |
| Student > Bachelor | 20 | 11% |
| Researcher | 19 | 11% |
| Other | 13 | 7% |
| Other | 37 | 21% |
| Unknown | 40 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 47 | 27% |
| Agricultural and Biological Sciences | 20 | 11% |
| Immunology and Microbiology | 17 | 10% |
| Biochemistry, Genetics and Molecular Biology | 13 | 7% |
| Nursing and Health Professions | 11 | 6% |
| Other | 25 | 14% |
| Unknown | 44 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 01 April 2016.
All research outputs
#3,384,432
of 25,654,806 outputs
Outputs from BMC Pediatrics
#503
of 3,494 outputs
Outputs of similar age
#53,050
of 396,762 outputs
Outputs of similar age from BMC Pediatrics
#12
of 51 outputs
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