Evidence map›Paper›PMID 39138497›Full record

ArticleAnnals of clinical microbiology and antimicrobials2024

Unravelling the evolutionary dynamics of antibiotic resistance genes in the infant gut microbiota during the first four months of life.

Anna Samarra, Raúl Cabrera-Rubio, Cecilia Martínez-Costa, Maria Carmen Collado

Abstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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  8. Resistome in the indoor dust samples from workplaces and households: a pilot study.Frontiers in cellular and infection microbiology · 2024
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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

4 authors.

Anna SamarraDepartament of Biotechnology, Institute of Agrochemistry and Food Technology- National Spanish Research Council (IATA-CSIC), Paterna, Valencia, Spain.ORCID http://orcid.org/0000-0001-7846-2078
Raúl Cabrera-RubioDepartament of Biotechnology, Institute of Agrochemistry and Food Technology- National Spanish Research Council (IATA-CSIC), Paterna, Valencia, Spain.ORCID http://orcid.org/0000-0003-3652-9558
Cecilia Martínez-CostaDepartment of Pediatrics, School of Medicine, University of Valencia, Valencia, Spain.ORCID http://orcid.org/0000-0003-1347-7521
Maria Carmen ColladoDepartament of Biotechnology, Institute of Agrochemistry and Food Technology- National Spanish Research Council (IATA-CSIC), Paterna, Valencia, Spain. mcolam@iata.csic.es.ORCID http://orcid.org/0000-0002-6204-4864

Funding

Conselleria de Cultura, Educación y Ciencia, Generalitat Valenciana ACIF/2021Conselleria de Cultura, Educación y Ciencia, Generalitat Valenciana CDEIGENT 2020Conselleria de Cultura, Educación y Ciencia, Generalitat Valenciana NeoHealth project PROMETEO 2020/012Horizon 2020 Framework Programme H2020 Excellent Science (H2020 Priority Excellent Science) - 639226
6 · The paper itself

Abstract

backgroundAlongside microbiota development, the evolution of the resistome is crucial in understanding the early-life acquisition and persistence of Antibiotic Resistance Genes (ARGs). Therefore, the aim of this study is to provide a comprehensive view of the evolution and dynamics of the neonatal resistome from 7 days to 4 months of age using a high-throughput qPCR platform.

methodsIn the initial phase, a massive screening of 384 ARGs using a high-throughput qPCR in pooled healthy mother-infant pairs feces from the MAMI cohort was carried out to identify the most abundant and prevalent ARGs in infants and in mothers. This pre-analysis allowed for later targeted profiling in a large number of infants in a longitudinal manner during the first 4 months of life. 16S rRNA V3-V4 amplicon sequencing was performed to asses microbial composition longitudinally. Potential factors influencing the microbiota and ARGs in this period were also considered, such as mode of birth and breastfeeding type.

resultsFollowing the massive screening, the top 45 abundant ARGs and mobile genetic elements were identified and studied in 72 infants during their first months of life (7 days, 1, 2, and 4 months). These genes were associated with resistance to aminoglycosides, beta-lactams and tetracyclines, among others, as well as integrons, and other mobile genetic elements. Changes in both ARG composition and quantity were observed during the first 4 months of life: most ARGs abundance increased over time, but mobile genetic elements decreased significantly. Further exploration of modulating factors highlighted the effect on ARG composition of specific microbial genus, and the impact of mode of birth at 7 days and 4 months. The influence of infant formula feeding was observed at 4-month-old infants, who exhibited a distinctive resistome composition.

conclusionsThis study illustrates the ARG evolution and dynamics in the infant gut by use of a targeted, high-throughput, quantitative PCR-based method. An increase in antibiotic resistance over the first months of life were observed with a fundamental role of delivery mode in shaping resistance profiles. Further, we highlighted the influence of feeding methods on the resistome development. These findings offer pivotal insights into dynamics of and factors influencing early-life resistome, with potential avenues for intervention strategies.

Indexed as

Anti-Bacterial AgentsFecesGastrointestinal MicrobiomeRNA, Ribosomal, 16SBacteriaBreast FeedingDrug Resistance, BacterialDrug Resistance, MicrobialEvolution, MolecularFemaleGenes, BacterialHumansInfantInfant, NewbornLongitudinal StudiesMaleAnti-Bacterial AgentsRNA, Ribosomal, 16SAntibiotic resistanceBreastfeedingGutInfantMicrobiota

Identifiers

PMID39138497
PMCPMC11323388

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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.