FEAMR: A Database for Surveillance of Food and Environment-Associated Antimicrobial Resistance.
Antibiotics
Antimicrobial resistance
Database
FEAMR
One Health
Pandemic
Surveillance
Zoonotic
Journal
Interdisciplinary sciences, computational life sciences
ISSN: 1867-1462
Titre abrégé: Interdiscip Sci
Pays: Germany
ID NLM: 101515919
Informations de publication
Date de publication:
Dec 2022
Dec 2022
Historique:
received:
28
12
2021
accepted:
30
06
2022
revised:
20
06
2022
pubmed:
26
7
2022
medline:
22
10
2022
entrez:
25
7
2022
Statut:
ppublish
Résumé
The rapid dissemination of antimicrobial resistance (AMR) has emerged as a serious health problem on an unprecedented global scale. AMR is predicted to kill more than 10 million people annually by 2050 leading to huge economic losses worldwide. Therefore, urgent action is required at the national as well as international levels to avert this looming crisis. Effective surveillance can play an important role in the containment of AMR spread by providing data to help determine AMR hotspots, predict an outbreak, maintain proper stewardship and propose immediate and future plans of action in this respect. Although many existing databases provide genetic and molecular information on AMR in microorganisms, there is no dedicated database of AMR from non-clinical samples. The FEAMR database is a one-of-its-kind database to provide manually collated and curated information on the prevalence of AMR in food and the environment. For designing the FEAMR webpage, Microsoft Visual Studio with HTML, CSS, ASP.NET, Bootstrap for the front-end and C# for the back-end were used. The FEAMR database is a free access resource ( https://feamrudbt-amrlab.mu.ac.in/ ), accepting verified food- and environment-related AMR submissions from across the globe. To the best of our knowledge, it is probably the first database providing AMR-related surveillance data from non-clinical samples. It is designed from the 'One Health Approach' perspective to help in the containment of global AMR spread. Flowsheet of steps for making FEAMR database 1. Research articles relating to Antimicrobial Resistance (AMR) were searched on the internet. 2. Data relating to AMR were retrieved from these articles and stored in an MS-Excel sheet. 3. The web pages of the FEAMR database (DB) were created using Microsoft Visual Studio (MVS) and its various tools. HTML, CSS, ASP.NET and Bootstrap were used for the front end and C# used for the back-end of the website. 4. The DB of FEAMR was created using MS SQL Server which was controlled by SQL Server Management Studio (SSMS). 5. The data from the MS-Excel sheet in step 2 was stored in the SQL server and displayed on the web page using GridView tool of MVS and C#. The database created was then uploaded on the University of Mumbai (UoM) website, where it can be accessed by all users having the link to the DB ( https://feamrudbt-amrlab.mu.ac.in/ ).
Identifiants
pubmed: 35876977
doi: 10.1007/s12539-022-00534-y
pii: 10.1007/s12539-022-00534-y
pmc: PMC9309602
doi:
Substances chimiques
Anti-Bacterial Agents
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
833-840Informations de copyright
© 2022. International Association of Scientists in the Interdisciplinary Areas.
Références
Llor C, Bjerrum L (2014) Antimicrobial resistance risk associated with antibiotic overuse and initiatives to reduce the problem. Ther Adv Drug Saf 5(6):229–241. https://doi.org/10.1177/2F2042098614554919
doi: 10.1177/2F2042098614554919
pubmed: 25436105
pmcid: 4232501
Indian council of medical research ICMR 2018 Antimicrobial stewardship program guidelines https://main.icmr.nic.in/sites/default/files/guidelines/AMSP_0.pdf Accessed 30 March 2022
World Health Organization (2015) global action plan on antimicrobial resistance. https://www.amcra.be/swfiles/files/WHO%20actieplan_90.pdf Accessed: 20 May 2021
Knight GM, Glover RE, McQuaid CF, Olaru ID, Gallandat K, Leclerc QJ, Fuller NM, Willcocks SJ, Hasan R, van Kleef E, Chandler CI (2021) Antimicrobial resistance and COVID-19: Intersections and implications. Elife 10:e64139. https://doi.org/10.7554/eLife.64139
doi: 10.7554/eLife.64139
pubmed: 33588991
pmcid: 7886324
Kariyawasam RM, Julien DA, Jelinski DC, Larose SL, Rennert-May E, Conly JM, Dingle TC, Chen JZ, Tyrrell G, Ronksley PE, Barkema HW (2021) Antimicrobial Resistance (AMR) in COVID-19 patients: a systematic review and meta-analysis (November 2019–June 2021). Antimicrob Res & Infect Control. https://doi.org/10.1186/s13756-022-01085-z
doi: 10.1186/s13756-022-01085-z
Lucien MA, Canarie MF, Kilgore PE, Jean-Denis G, Fénélon N, Pierre M, Cerpa M, Joseph GA, Maki G, Zervos MJ, Dely P (2021) Antibiotics and antimicrobial resistance in the COVID-19 era: perspective from resource-limited settings. Int J Infect Dis 104:250–254. https://doi.org/10.1016/j.ijid.2020.12.087
doi: 10.1016/j.ijid.2020.12.087
pubmed: 33434666
pmcid: 7796801
World Health Organization (2020) Global antimicrobial resistance surveillance system (GLASS) report: early implementation 2020. https://www.who.int/publications/i/item/9789240005587 Accessed: 14 June 2022.
Government of India 2017 National action plan on antimicrobial resistance (NAP-AMR) https://www.ncdc.gov.in/WriteReadData/linkimages/AMR/File645.pdf Accessed: 20 May 2021.
NCBI (no date) National database of antibiotic resistant organisms (NDARO) https://www.ncbi.nlm.nih.gov/pathogens/antimicrobial-resistance/ Accessed: 20 May 2021
CDC (no date) National antimicrobial resistance monitoring system for enteric bacteria (NARMS) https://www.cdc.gov/narms/index.html Accessed: 20 May 2021
ECDC (no date) European antimicrobial resistance surveillance network (EARS-Net) https://www.ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/ears-net Accessed: 20 May 2021
ICMR (no date) AMRSN Network. https://iamrsn.icmr.org.in/ Accessed: 14 June 2022
Lammie SL, Hughes JM (2016) Antimicrobial resistance, food safety, and one health: the need for convergence. Annu Rev Food Sci Technol 7:287–312. https://doi.org/10.1146/annurev-food-041715-033251
doi: 10.1146/annurev-food-041715-033251
pubmed: 26772408
Hannah Ritchie & Max Roser (2017) Meat and dairy production published online at OurWorldInData.org Retrieved from: https://ourworldindata.org/meat-production Accessed 30 March 2022
Wang Y, Li S (2008) Worldwide trends in dairy production and consumption and calcium intake is promoting consumption of dairy products a sustainable solution for inadequate calcium intake? Food Nutr Bull 29(3):172–185. https://doi.org/10.1177/2F156482650802900303
doi: 10.1177/2F156482650802900303
pubmed: 18947030
OECD/FAO (2020). OECD-FAO Agricultural Outlook 2020-2029 OECD Publishing, Paris/FAO Rome https://doi.org/10.1787/1112c23b-en Accessed 30 March 2022
OECD FAO 2021 OECD-FAO Agricultural outlook 2021–2030 OECD Publishing Paris https://doi.org/10.1787/19428846-en Accessed 30 March 2022
Sumanth Gandra, Jyoti Joshi, Anna Trett Anjana Sankhil Lamkang, Ramanan Laxminarayan 2017 Scoping report on antimicrobial resistance in India Washington, DC center for disease dynamics economics & policy. https://cddep.org/wp-content/uploads/2017/11/scoping-report-on-antimicrobial-resistance-in-india.pdf Accessed 14 June 2022
Naik OA, Shashidhar R, Rath D, Bandekar JR, Rath A (2017) Metagenomic analysis of total microbial diversity and antibiotic resistance of culturable microorganisms in raw chicken meat and mung sprouts Phaseolus aureus sold in retail markets of Mumbai India. Curr Sci 113(01):71–79
doi: 10.18520/cs/v113/i01/71-79
Naik OA, Shashidhar R, Rath D, Bandekar JR, Rath A (2018) Characterization of multiple antibiotic resistance of culturable microorganisms and metagenomic analysis of total microbial diversity of marine fish sold in retail shops in Mumbai India. Environ Sci Pollut Res 25(7):6228–6239. https://doi.org/10.1007/s11356-017-0945-7
doi: 10.1007/s11356-017-0945-7
Chaturvedi A (2021) A ‘one health’ approach that targets people, animals. The Hindu. https://www.thehindu.com/opinion/op-ed/a-one-health-approach-that-targets-people-animals/article34474681.ece Accessed 20 May 2021
World Health Organization (2017) Integrated surveillance of antimicrobial resistance in foodborne bacteria: application of a one health approach: guidance from the WHO advisory group on integrated surveillance of antimicrobial resistance (AGISAR). http://apps.who.int/iris/bitstream/10665/255747/1/9789241512411-eng.pdf Accessed: 20 May 2021