Evidence map›Paper›PMID 28946864›Full record

ArticleBMC microbiology2017

Impact of delivery mode on the colostrum microbiota composition.

Marco Toscano, Roberta De Grandi, Diego Giampietro Peroni, Enzo Grossi, Valentina Facchin, Pasquale Comberiati, Lorenzo Drago

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
7.7field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 100 citations in OpenAlex.

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  18. Role of Gut Microbiome in Autism Spectrum Disorder and Its Therapeutic Regulation.Frontiers in cellular and infection microbiology · 2022
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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

7 authors at 5 institutions in 1 country.

Marco ToscanoLaboratory of Clinical Microbiology, Department of Biomedical Sciences for Health, University of Milan, Via Mangiagalli 31, Milan, 20133, Italy.
Roberta De GrandiLaboratory of Clinical Microbiology, Department of Biomedical Sciences for Health, University of Milan, Via Mangiagalli 31, Milan, 20133, Italy.
Diego Giampietro PeroniDepartment of Clinical and Experimental Medicine, Section of Pediatric and International Inflammation (in-FLAME) Network of the World Universities Network, University of Pisa, Pisa, Italy.
Enzo GrossiVilla Santa Maria Institute, Via IV Novembre Tavernerio, 22038, Como, Italy.
Valentina FacchinDepartment of Surgical Sciences, Dentistry, Gynecology and Pediatrics, Section of Pediatrics, University of Verona, Verona, Italy.
Pasquale ComberiatiDepartment of Surgical Sciences, Dentistry, Gynecology and Pediatrics, Section of Pediatrics, University of Verona, Verona, Italy.
Lorenzo DragoLaboratory of Clinical Microbiology, Department of Biomedical Sciences for Health, University of Milan, Via Mangiagalli 31, Milan, 20133, Italy. lorenzo.drago@unimi.it.
University of Milan · ITUniversity of Verona · ITIstituto Ortopedico Galeazzi · ITSanta Maria Nuova Hospital · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast milk is a rich nutrient with a temporally dynamic nature. In particular, numerous alterations in the nutritional, immunological and microbiological content occur during the transition from colostrum to mature milk. The objective of our study was to evaluate the potential impact of delivery mode on the microbiota of colostrum, at both the quantitative and qualitative levels (bacterial abundance and microbiota network).

methodsTwenty-nine Italian mothers (15 vaginal deliveries vs 14 Cesarean sections) were enrolled in the study. The microbiota of colostrum samples was analyzed by next generation sequencing (Ion Torrent Personal Genome Machine). The colostrum microbiota network associated with Cesarean section and vaginal delivery was evaluated by means of the Auto Contractive Map (AutoCM), a mathematical methodology based on Artificial Neural Network (ANN) architecture.

resultsNumerous differences between Cesarean section and vaginal delivery colostrum were observed. Vaginal delivery colostrum had a significant lower abundance of Pseudomonas spp., Staphylococcus spp. and Prevotella spp. when compared to Cesarean section colostrum samples. Furthermore, the mode of delivery had a strong influence on the microbiota network, as Cesarean section colostrum showed a higher number of bacterial hubs if compared to vaginal delivery, sharing only 5 hubs. Interestingly, the colostrum of mothers who had a Cesarean section was richer in environmental bacteria than mothers who underwent vaginal delivery. Finally, both Cesarean section and vaginal delivery colostrum contained a greater number of anaerobic bacteria genera.

conclusionsThe mode of delivery had a large impact on the microbiota composition of colostrum. Further studies are needed to better define the meaning of the differences we observed between Cesarean section and vaginal delivery colostrum microbiota.

Indexed as

Microbial ConsortiaMicrobiotaAdultBacteriaBiodiversityCesarean SectionColostrumDelivery, ObstetricDNA, BacterialFemaleGestational AgeHigh-Throughput Nucleotide SequencingHumansItalyMaleMilk, HumanDNA, BacterialRNA, Ribosomal, 16SAuto contractive mapBacteriaBreast milkColostrumMicrobiotaNetwork

Identifiers

PMID28946864
PMCPMC5613475
OpenAlexW2757829999

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.