Evidence map›Paper›PMID 35190600›Full record

ArticleScientific reports2022

Maternal anthropometric variables and clinical factors shape neonatal microbiome.

Riccardo Farinella, Cosmeri Rizzato, Daria Bottai, Alice Bedini, Federica Gemignani, Stefano Landi, Giulia Peduzzi, Sara Rosati, Antonella Lupetti, Armando Cuttano and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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

16 authors.

Riccardo Farinella *Department of Biology, University of Pisa, Pisa, Italy.
Cosmeri Rizzato *Department of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37, 56127, Pisa, Italy. cosmeri.rizzato@unipi.it.
Daria BottaiDepartment of Biology, University of Pisa, Pisa, Italy.ORCID http://orcid.org/0000-0001-5130-3632
Alice BediniDivision of Neonatology, Santa Chiara Hospital, Pisa, Italy.
Federica GemignaniDepartment of Biology, University of Pisa, Pisa, Italy.
Stefano LandiDepartment of Biology, University of Pisa, Pisa, Italy.
Giulia PeduzziDepartment of Biology, University of Pisa, Pisa, Italy.
Sara RosatiDivision of Neonatology, Santa Chiara Hospital, Pisa, Italy.
Antonella LupettiDepartment of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37, 56127, Pisa, Italy.
Armando CuttanoDivision of Neonatology, Santa Chiara Hospital, Pisa, Italy.
Francesca MoscuzzaDivision of Neonatology, Santa Chiara Hospital, Pisa, Italy.
Cristina TuoniDivision of Neonatology, Santa Chiara Hospital, Pisa, Italy.
Luca FilippiNeonatology and Neonatal Intensive Care Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Massimiliano CiantelliDivision of Neonatology, Santa Chiara Hospital, Pisa, Italy.
Arianna TavantiDepartment of Biology, University of Pisa, Pisa, Italy.ORCID http://orcid.org/0000-0001-5791-686X
Daniele CampaDepartment of Biology, University of Pisa, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies indicate the existence of a complex microbiome in the meconium of newborns that plays a key role in regulating many host health-related conditions. However, a high variability between studies has been observed so far. In the present study, the meconium microbiome composition and the predicted microbial metabolic pathways were analysed in a consecutive cohort of 96 full-term newborns. The effect of maternal epidemiological variables on meconium diversity was analysed using regression analysis and PERMANOVA. Meconium microbiome composition mainly included Proteobacteria (30.95%), Bacteroidetes (23.17%) and Firmicutes (17.13%), while for predicted metabolic pathways, the most abundant genes belonged to the class "metabolism". We observed a significant effect of maternal Rh factor on Shannon and Inverse Simpson indexes (p = 0.045 and p = 0.049 respectively) and a significant effect of delivery mode and maternal antibiotic exposure on Jaccard and Bray-Curtis dissimilarities (p = 0.001 and 0.002 respectively), while gestational age was associated with observed richness and Shannon indexes (p = 0.018 and 0.037 respectively), and Jaccard and Bray-Curtis dissimilarities (p = 0.014 and 0.013 respectively). The association involving maternal Rh phenotype suggests a role for host genetics in shaping meconium microbiome prior to the exposition to the most well-known environmental variables, which will influence microbiome maturation in the newborn.

Indexed as

Gastrointestinal MicrobiomeAnti-Bacterial AgentsBacillotaBacteroidetesCohort StudiesFemaleGestational AgeHumansInfant, NewbornMaternal ExposureMeconiumPregnancyProteobacteriaRh-Hr Blood-Group SystemAnti-Bacterial AgentsRh-Hr Blood-Group System

Identifiers

PMID35190600
PMCPMC8861021

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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.