Influence of age, socioeconomic status, and location on the infant gut resistome across populations
Patangia, Dhrati V. ; Grimaud, Ghjuvan LU
; Wang, Shaopu
; Ross, R. Paul
and Stanton, Catherine
(2024)
In Gut microbes
16(1).
- Abstract
Antibiotic resistance is a growing global concern, with many ecological niches showing a high abundance of antibiotic resistance genes (ARGs), including the human gut. With increasing indications of ARGs in infants, this study aims to investigate the gut resistome profile during early life at a wider geographic level. To achieve this objective, we utilized stool samples data from 26 studies involving subjects aged up to 3 years from different geographical locations. The 32,277 Metagenome Assembled Genomes (MAGs) previously generated from shotgun sequencing reads from these studies were used for resistome analysis using RGI with the CARD database. This analysis showed that the distribution of ARGs across the countries in our study... (More)
Antibiotic resistance is a growing global concern, with many ecological niches showing a high abundance of antibiotic resistance genes (ARGs), including the human gut. With increasing indications of ARGs in infants, this study aims to investigate the gut resistome profile during early life at a wider geographic level. To achieve this objective, we utilized stool samples data from 26 studies involving subjects aged up to 3 years from different geographical locations. The 32,277 Metagenome Assembled Genomes (MAGs) previously generated from shotgun sequencing reads from these studies were used for resistome analysis using RGI with the CARD database. This analysis showed that the distribution of ARGs across the countries in our study differed in alpha diversity and compositionally. In particular, the abundance of ARGs was found to vary by socioeconomic status and healthcare access and quality (HAQ) index. Surprisingly, countries having lower socioeconomic status and HAQ indices showed lower ARG abundance, which was contradictory to previous reports. Gram-negative genera, including Escherichia, Enterobacter, Citrobacter, and Klebsiella harbored a particularly rich set of ARGs, which included antibiotics that belong to the Reserve, Access or Watch category, such as glycopeptides, fluoroquinolones, sulfonamides, macrolides, and tetracyclines. We showed that ARG abundance exponentially decreased with time during the first 3 years of life. Many highly ARG-abundant species including Escherichia, Klebsiella, Citrobacter species that we observed are well-known pathobionts found in the infant gut in early life. High abundance of these species and a diverse range of ARGs in their genomes point toward the infant gut, acting as an ARG reservoir. This is a concern and further studies are needed to examine the causal effect and its consequences on long-term health.
(Less)
- author
- Patangia, Dhrati V.
; Grimaud, Ghjuvan
LU
; Wang, Shaopu
; Ross, R. Paul
and Stanton, Catherine
- publishing date
- 2024
- type
- Contribution to journal
- publication status
- published
- keywords
- Infant gut resistance, meta-analysis, resistome, shotgun sequencing
- in
- Gut microbes
- volume
- 16
- issue
- 1
- article number
- 2297837
- publisher
- Taylor & Francis
- external identifiers
-
- scopus:85182291974
- pmid:38217470
- ISSN
- 1949-0976
- DOI
- 10.1080/19490976.2023.2297837
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
- id
- ddd3ff3d-77b5-4179-8adf-bc610e265742
- date added to LUP
- 2024-11-25 16:09:16
- date last changed
- 2025-07-08 10:32:12
@article{ddd3ff3d-77b5-4179-8adf-bc610e265742,
abstract = {{<p>Antibiotic resistance is a growing global concern, with many ecological niches showing a high abundance of antibiotic resistance genes (ARGs), including the human gut. With increasing indications of ARGs in infants, this study aims to investigate the gut resistome profile during early life at a wider geographic level. To achieve this objective, we utilized stool samples data from 26 studies involving subjects aged up to 3 years from different geographical locations. The 32,277 Metagenome Assembled Genomes (MAGs) previously generated from shotgun sequencing reads from these studies were used for resistome analysis using RGI with the CARD database. This analysis showed that the distribution of ARGs across the countries in our study differed in alpha diversity and compositionally. In particular, the abundance of ARGs was found to vary by socioeconomic status and healthcare access and quality (HAQ) index. Surprisingly, countries having lower socioeconomic status and HAQ indices showed lower ARG abundance, which was contradictory to previous reports. Gram-negative genera, including Escherichia, Enterobacter, Citrobacter, and Klebsiella harbored a particularly rich set of ARGs, which included antibiotics that belong to the Reserve, Access or Watch category, such as glycopeptides, fluoroquinolones, sulfonamides, macrolides, and tetracyclines. We showed that ARG abundance exponentially decreased with time during the first 3 years of life. Many highly ARG-abundant species including Escherichia, Klebsiella, Citrobacter species that we observed are well-known pathobionts found in the infant gut in early life. High abundance of these species and a diverse range of ARGs in their genomes point toward the infant gut, acting as an ARG reservoir. This is a concern and further studies are needed to examine the causal effect and its consequences on long-term health.</p>}},
author = {{Patangia, Dhrati V. and Grimaud, Ghjuvan and Wang, Shaopu and Ross, R. Paul and Stanton, Catherine}},
issn = {{1949-0976}},
keywords = {{Infant gut resistance; meta-analysis; resistome; shotgun sequencing}},
language = {{eng}},
number = {{1}},
publisher = {{Taylor & Francis}},
series = {{Gut microbes}},
title = {{Influence of age, socioeconomic status, and location on the infant gut resistome across populations}},
url = {{http://dx.doi.org/10.1080/19490976.2023.2297837}},
doi = {{10.1080/19490976.2023.2297837}},
volume = {{16}},
year = {{2024}},
}