Innovations in genomic antimicrobial resistance surveillance
Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved..
Whole-genome sequencing of antimicrobial-resistant pathogens is increasingly being used for antimicrobial resistance (AMR) surveillance, particularly in high-income countries. Innovations in genome sequencing and analysis technologies promise to revolutionise AMR surveillance and epidemiology; however, routine adoption of these technologies is challenging, particularly in low-income and middle-income countries. As part of a wider series of workshops and online consultations, a group of experts in AMR pathogen genomics and computational tool development conducted a situational analysis, identifying the following under-used innovations in genomic AMR surveillance: clinical metagenomics, environmental metagenomics, gene or plasmid tracking, and machine learning. The group recommended developing cost-effective use cases for each approach and mapping data outputs to clinical outcomes of interest to justify additional investment in capacity, training, and staff required to implement these technologies. Harmonisation and standardisation of methods, and the creation of equitable data sharing and governance frameworks, will facilitate successful implementation of these innovations.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:4 |
|---|---|
| Enthalten in: |
The Lancet. Microbe - 4(2023), 12 vom: 27. Dez., Seite e1063-e1070 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Wheeler, Nicole E [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Anti-Bacterial Agents |
|---|
| Anmerkungen: |
Date Completed 04.12.2023 Date Revised 27.03.2024 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1016/S2666-5247(23)00285-9 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM364687002 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM364687002 | ||
| 003 | DE-627 | ||
| 005 | 20240327235438.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/S2666-5247(23)00285-9 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1350.xml |
| 035 | |a (DE-627)NLM364687002 | ||
| 035 | |a (NLM)37977163 | ||
| 035 | |a (PII)S2666-5247(23)00285-9 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Wheeler, Nicole E |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Innovations in genomic antimicrobial resistance surveillance |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 04.12.2023 | ||
| 500 | |a Date Revised 27.03.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved. | ||
| 520 | |a Whole-genome sequencing of antimicrobial-resistant pathogens is increasingly being used for antimicrobial resistance (AMR) surveillance, particularly in high-income countries. Innovations in genome sequencing and analysis technologies promise to revolutionise AMR surveillance and epidemiology; however, routine adoption of these technologies is challenging, particularly in low-income and middle-income countries. As part of a wider series of workshops and online consultations, a group of experts in AMR pathogen genomics and computational tool development conducted a situational analysis, identifying the following under-used innovations in genomic AMR surveillance: clinical metagenomics, environmental metagenomics, gene or plasmid tracking, and machine learning. The group recommended developing cost-effective use cases for each approach and mapping data outputs to clinical outcomes of interest to justify additional investment in capacity, training, and staff required to implement these technologies. Harmonisation and standardisation of methods, and the creation of equitable data sharing and governance frameworks, will facilitate successful implementation of these innovations | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 7 | |a Anti-Bacterial Agents |2 NLM | |
| 700 | 1 | |a Price, Vivien |e verfasserin |4 aut | |
| 700 | 1 | |a Cunningham-Oakes, Edward |e verfasserin |4 aut | |
| 700 | 1 | |a Tsang, Kara K |e verfasserin |4 aut | |
| 700 | 1 | |a Nunn, Jamie G |e verfasserin |4 aut | |
| 700 | 1 | |a Midega, Janet T |e verfasserin |4 aut | |
| 700 | 1 | |a Anjum, Muna F |e verfasserin |4 aut | |
| 700 | 1 | |a Wade, Matthew J |e verfasserin |4 aut | |
| 700 | 1 | |a Feasey, Nicholas A |e verfasserin |4 aut | |
| 700 | 1 | |a Peacock, Sharon J |e verfasserin |4 aut | |
| 700 | 1 | |a Jauneikaite, Elita |e verfasserin |4 aut | |
| 700 | 1 | |a Baker, Kate S |e verfasserin |4 aut | |
| 700 | 0 | |a SEDRIC Genomics Surveillance Working Group |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t The Lancet. Microbe |d 2020 |g 4(2023), 12 vom: 27. Dez., Seite e1063-e1070 |w (DE-627)NLM312200277 |x 2666-5247 |7 nnns |
| 773 | 1 | 8 | |g volume:4 |g year:2023 |g number:12 |g day:27 |g month:12 |g pages:e1063-e1070 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1016/S2666-5247(23)00285-9 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 4 |j 2023 |e 12 |b 27 |c 12 |h e1063-e1070 | ||