Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US

Joint Authors

Huang, Zuyi (Jacky)
Hua, Megan
Huang, William
Chen, Albert
Rehmet, Michael
Jin, Cade

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-04-13

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Medicine

Abstract EN

Antimicrobial resistance (AMR) has become an urgent public health issue, as pathogens are becoming increasingly resistant to commonly used antimicrobials.

While AMR isolate data are available in the NCBI Pathogen Detection Isolates Browser (NPDIB) database, few researches have been performed to compare antimicrobial resistance detected in environmental and clinical isolates.

To address this, this work conducted the first multivariate statistical analysis of antimicrobial-resistance pathogens detected in NPDIB clinical and environmental isolates for the US from 2013 to 2018.

The highly occurring AMR genes and pathogens were identified for both clinical and environmental settings, and the historical profiles of those genes and pathogens were then compared for the two settings.

It was found that Salmonella enterica and E.

coli and Shigella were the highly occurring AMR pathogens for both settings.

Additionally, the genes fosA, oqxB, ble, floR, fosA7, mcr-9.1, aadA1, aadA2, ant(2”)-Ia, aph(3”)-Ib, aph(3’)-Ia, aph(6)-Id, blaTEM-1, qacEdelta1, sul1, sul2, tet(A), and tet(B) were mostly detected for both clinical and environmental settings.

Ampicillin, ceftriaxone, gentamicin, tetracycline, and cefoxitin were the antimicrobials which got the most resistance in both settings.

The historical profiles of these genes, pathogens, and antimicrobials indicated that higher occurrence frequencies generally took place earlier in the environmental setting than in the clinical setting.

American Psychological Association (APA)

Hua, Megan& Huang, William& Chen, Albert& Rehmet, Michael& Jin, Cade& Huang, Zuyi (Jacky). 2020. Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US. BioMed Research International،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1133819

Modern Language Association (MLA)

Hua, Megan…[et al.]. Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US. BioMed Research International No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1133819

American Medical Association (AMA)

Hua, Megan& Huang, William& Chen, Albert& Rehmet, Michael& Jin, Cade& Huang, Zuyi (Jacky). Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1133819

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1133819