heavy metal toxicity in armed conflicts potentiates amr in a. baumannii by selecting for antibiotic and heavy metal co-resistance mechanisms

heavy metal toxicity in armed conflicts potentiates amr in a. baumannii by selecting for antibiotic and heavy metal co-resistance mechanisms

;Wael Bazzi;Wael Bazzi;Wael Bazzi;Antoine G. Abou Fayad;Antoine G. Abou Fayad;Antoine G. Abou Fayad;Aya Nasser;Aya Nasser;Aya Nasser;Louis-Patrick Haraoui;Omar Dewachi;Ghassan Abou-Sitta;Vinh-Kim Nguyen;Aula Abara;Nabil Karah;Hannah Landecker;Charles Knapp;Megan M. McEvoy;Muhammad H. Zaman;Paul G. Higgins;Paul G. Higgins;Ghassan M. Matar;Ghassan M. Matar;Ghassan M. Matar
journal of magnetic resonance (san diego, calif : 1997) 2020 Vol. 11 pp. -
329
bazzi2020frontiersheavy

Abstract

Acinetobacter baumannii has become increasingly resistant to leading antimicrobial agents since the 1970s. Increased resistance appears linked to armed conflicts, notably since widespread media stories amplified clinical reports in the wake of the American invasion of Iraq in 2003. Antimicrobial resistance is usually assumed to arise through selection pressure exerted by antimicrobial treatment, particularly where treatment is inadequate, as in the case of low dosing, substandard antimicrobial agents, or shortened treatment course. Recently attention has focused on an emerging pathogen, multi-drug resistant A. baumannii (MDRAb). MDRAb gained media attention after being identified in American soldiers returning from Iraq and treated in US military facilities, where it was termed “Iraqibacter.” However, MDRAb is strongly associated in the literature with war injuries that are heavily contaminated by both environmental debris and shrapnel from weapons. Both may harbor substantial amounts of toxic heavy metals. Interestingly, heavy metals are known to also select for antimicrobial resistance. In this review we highlight the potential causes of antimicrobial resistance by heavy metals, with a focus on its emergence in A. baumanni in war zones.

Citation

ID: 251455
Ref Key: bazzi2020frontiersheavy
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
251455
Unique Identifier:
10.3389/fmicb.2020.00068
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet